add sam2 yolo auto annotation
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README-sam2-cpu.md
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README-sam2-cpu.md
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# SAM2 to YOLOv9t Pipeline
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Automated video annotation pipeline using **SAM2** (Segment Anything Model 2) to create YOLO format datasets for **YOLOv9t** training on Kaggle.
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## Overview
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```
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Video → SAM2 (auto-segment) → Bounding Boxes → YOLO Dataset → Train YOLOv9t
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```
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## Features
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- **SAM2 Auto-Annotation**: Automatically segment any object in video frames
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- **YOLO Format Export**: Convert masks to YOLO bounding box format
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- **Kaggle-Ready**: All notebooks optimized for Kaggle GPU environment
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- **YOLOv9t Training**: Train efficient tiny YOLO model on custom data
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## Project Structure
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```
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sam2-yolo-pipeline/
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├── notebooks/
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│ ├── 01_sam2_video_annotation.ipynb # SAM2 setup + video annotation
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│ ├── 02_create_yolo_dataset.ipynb # Convert to YOLO format
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│ └── 03_train_yolov9t.ipynb # Train YOLOv9t model
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├── utils/
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│ ├── __init__.py
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│ ├── video_utils.py # Video processing utilities
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│ ├── sam2_utils.py # SAM2 annotation utilities
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│ └── yolo_utils.py # YOLO dataset utilities
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└── README.md
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```
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## Quick Start
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py scripts/frigate_mini.py --config configs/frigate_mini_cpu_pt.yaml
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py scripts/frigate_mini.py --model models/krg_masuk_yolov9t_best.pt --video input/karung_masuk.mp4
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### On Kaggle
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1. **Upload Video**
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- Create a new Kaggle Dataset with your video file(s)
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2. **Run Notebook 1: SAM2 Annotation**
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- Upload `01_sam2_video_annotation.ipynb` to Kaggle
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- Enable GPU (Settings → Accelerator → GPU)
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- Update `VIDEO_PATH` to your video
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- Run all cells
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3. **Run Notebook 2: Create YOLO Dataset**
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- Upload `02_create_yolo_dataset.ipynb`
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- Point to annotations from step 2
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- Run all cells
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- Download `yolo_dataset.zip` or create Kaggle Dataset
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4. **Run Notebook 3: Train YOLOv9t**
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- Upload `03_train_yolov9t.ipynb`
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- Enable GPU
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- Point to your YOLO dataset
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- Run training
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- Download trained weights
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## Configuration
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### SAM2 Model Variants
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| Model | Size | Speed | Accuracy |
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|-------|------|-------|----------|
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| `tiny` | 39MB | Fastest | Good |
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| `small` | 46MB | Fast | Better |
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| `base_plus` | 81MB | Medium | High |
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| `large` | 224MB | Slow | Best |
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### Frame Extraction Settings
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```python
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SAMPLE_FPS = 2 # Frames per second to extract
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MAX_FRAMES = 500 # Maximum frames (None for all)
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MIN_MASK_AREA = 500 # Minimum object area in pixels
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```
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### Training Settings
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```python
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CONFIG = {
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'epochs': 100,
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'batch': 16,
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'imgsz': 640,
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'patience': 20,
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'lr0': 0.001,
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}
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```
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## YOLO Dataset Format
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```
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yolo_dataset/
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├── data.yaml # Dataset configuration
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├── images/
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│ ├── train/ # Training images
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│ └── val/ # Validation images
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└── labels/
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├── train/ # Training labels (.txt)
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└── val/ # Validation labels (.txt)
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```
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### Label Format (YOLO)
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```
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# class x_center y_center width height (normalized 0-1)
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0 0.45 0.32 0.12 0.25
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0 0.78 0.61 0.08 0.15
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```
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## Requirements
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Automatically installed in notebooks:
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```
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torch>=2.0
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ultralytics
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segment-anything-2
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opencv-python
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supervision
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tqdm
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pyyaml
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```
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## Usage Examples
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### After Training
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```python
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from ultralytics import YOLO
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# Load trained model
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model = YOLO('best.pt')
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# Inference on image
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results = model.predict('image.jpg', conf=0.25)
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# Inference on video
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results = model.predict('video.mp4', conf=0.25, save=True)
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# Access detections
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for result in results:
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for box in result.boxes:
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x1, y1, x2, y2 = box.xyxy[0].tolist()
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confidence = box.conf[0].item()
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class_id = int(box.cls[0].item())
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print(f"Class {class_id}: {confidence:.2f} at [{x1:.0f}, {y1:.0f}, {x2:.0f}, {y2:.0f}]")
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```
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### Export Formats
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```python
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# ONNX
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model.export(format='onnx')
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# TensorRT
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model.export(format='engine')
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# OpenVINO
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model.export(format='openvino')
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# CoreML
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model.export(format='coreml')
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```
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## Tips
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### Improve Annotation Quality
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- Adjust `MIN_MASK_AREA` to filter small/noisy detections
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- Use `MAX_MASK_AREA` to exclude large background regions
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- Lower `SAMPLE_FPS` if video frames are very similar
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- Use SAM2 `large` model for better segmentation accuracy
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### Improve Training Results
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- More diverse training data
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- Experiment with augmentation settings
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- Try different learning rates
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- Use larger image size (imgsz=1280)
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- Train for more epochs with patience
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### Kaggle GPU Tips
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- P100 GPU: ~16GB VRAM, use batch=16-32
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- T4 GPU: ~16GB VRAM, use batch=16-32
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- Enable mixed precision for faster training
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- Save checkpoints to avoid losing progress
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## Troubleshooting
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### CUDA Out of Memory
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```python
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# Reduce batch size
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CONFIG['batch'] = 8
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# Or reduce image size
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CONFIG['imgsz'] = 416
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```
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### SAM2 Installation Issues
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```bash
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# Install from source
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pip install git+https://github.com/facebookresearch/segment-anything-2.git
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```
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### Missing Labels Warning
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This is normal - some frames may have no detectable objects. The dataset is still valid.
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## License
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MIT License - Feel free to use and modify for your projects.
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## Acknowledgments
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- [SAM2](https://github.com/facebookresearch/segment-anything-2) by Meta AI
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- [YOLOv9](https://github.com/WongKinYiu/yolov9) by WongKinYiu
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- [Ultralytics](https://github.com/ultralytics/ultralytics) for YOLO implementation
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800
sam2-cpu/PLAN.md
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sam2-cpu/PLAN.md
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# Feature Plan: YOLO-Assisted Auto-Annotation + Mini Frigate RKNN
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## Overview
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Create two integrated components:
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1. **YOLO-Assisted Annotator** - Use pretrained YOLOv9t to auto-annotate video frames
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2. **Frigate-Mini-RKNN** - Standalone mini fork of Frigate for RKNN inference with MP4 input
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## Goals
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- Auto-annotate videos using YOLOv9t pretrained model (replaces manual SAM2 prompts)
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- Minimal Frigate fork with multiple detector backends:
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- **RKNN** - Rockchip NPU acceleration (RK3588, RK3568, etc.)
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- **ONNX** - CPU-only inference (cross-platform, no special hardware)
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- **YOLO** - Ultralytics backend (CPU/CUDA)
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- MP4 file as camera feed source
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- Output: Clean snapshot + YOLO format label pairs
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- Simple text-based configuration
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- Debug mode with object list visualization
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## Detector Backends Comparison
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| Backend | Hardware | Performance | Platform | Use Case |
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|---------|----------|-------------|----------|----------|
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| **RKNN** | Rockchip NPU | Fast (30+ FPS) | ARM (RK3588/3568) | Production on Rockchip SBC |
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| **ONNX** | CPU | Medium (5-15 FPS) | Any (x86/ARM) | Development, testing, no GPU |
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| **YOLO** | CPU/CUDA | Fast with GPU | Any | Development, CUDA systems |
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### Recommended Workflow
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1. **Development/Testing**: Use ONNX backend on any CPU
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2. **Production on Rockchip**: Convert to RKNN, deploy on NPU
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3. **Production on x86/CUDA**: Use YOLO backend with GPU
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---
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## Project Structure
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```
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sam2-yolo-pipeline/
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├── notebooks/ # Existing Kaggle notebooks
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├── utils/ # Existing utilities
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├── yolo_annotator/ # NEW: YOLO-assisted annotation
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│ ├── __init__.py
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│ ├── annotator.py # Core YOLOv9t annotator
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│ ├── video_source.py # MP4/RTSP video source handler
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│ ├── export.py # Snapshot + label export
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│ └── visualizer.py # Debug visualization
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├── frigate_mini/ # NEW: Mini Frigate fork
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│ ├── __init__.py
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│ ├── app.py # Main application entry
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│ ├── config/
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│ │ ├── __init__.py
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│ │ ├── schema.py # Config validation
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│ │ └── loader.py # YAML config loader
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│ ├── detector/
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│ │ ├── __init__.py
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│ │ ├── base.py # Base detector interface
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│ │ ├── rknn_detector.py # RKNN backend
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│ │ ├── onnx_detector.py # ONNX fallback
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│ │ └── yolo_detector.py # Ultralytics YOLO fallback
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│ ├── video/
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│ │ ├── __init__.py
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│ │ ├── mp4_source.py # MP4 file source
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│ │ └── frame_processor.py # Frame processing pipeline
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│ ├── output/
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│ │ ├── __init__.py
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│ │ ├── snapshot.py # Snapshot capture
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│ │ └── annotation.py # YOLO label writer
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│ └── debug/
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│ ├── __init__.py
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│ ├── object_list.py # Detected objects display
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│ └── visualizer.py # Bounding box overlay
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├── configs/ # NEW: Configuration files
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│ ├── annotator.yaml # Annotator settings
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│ └── frigate_mini.yaml # Frigate-mini settings
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├── models/ # NEW: Model weights storage
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│ └── .gitkeep
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├── output/ # NEW: Default output directory
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│ ├── snapshots/
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│ ├── labels/
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│ └── debug/
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├── scripts/ # NEW: CLI scripts
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│ ├── annotate.py # Run annotation pipeline
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│ ├── frigate_mini.py # Run mini frigate
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│ └── convert_to_rknn.py # Convert ONNX to RKNN
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└── requirements.txt # Updated dependencies
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```
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---
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## Component 1: YOLO-Assisted Annotator
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### Purpose
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Replace SAM2 auto-annotation with faster YOLOv9t-based detection for creating training datasets.
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### Workflow
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```
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MP4 Video → Frame Extraction → YOLOv9t Detection → Filter/NMS → YOLO Labels + Snapshots
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```
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### Features
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1. **Model Loading**
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- Load pretrained YOLOv9t (.pt file)
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- Support custom trained models
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- Configurable confidence threshold
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- Configurable NMS threshold
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2. **Video Processing**
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- MP4 file input
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- Configurable FPS sampling
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- Frame skip / time range selection
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- Resolution scaling
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3. **Detection Filtering**
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- Filter by class IDs
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- Filter by confidence score
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- Filter by bbox size (min/max area)
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- Filter by aspect ratio
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4. **Output Generation**
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- Clean snapshot images (no annotations drawn)
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- YOLO format label files (.txt)
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- Optional debug images with boxes drawn
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- JSON manifest of all detections
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### Configuration (annotator.yaml)
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```yaml
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# YOLO-Assisted Annotator Configuration
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model:
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path: "models/yolov9t.pt" # Path to YOLO model
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device: "cuda" # cuda, cpu, or rknn
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conf_threshold: 0.25 # Confidence threshold
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iou_threshold: 0.45 # NMS IoU threshold
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video:
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source: "input/video.mp4" # Video file path
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sample_fps: 2 # Frames per second to extract
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max_frames: null # Max frames (null = all)
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start_time: 0 # Start time in seconds
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end_time: null # End time (null = end of video)
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resize: null # [width, height] or null
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detection:
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classes: null # Class IDs to keep (null = all)
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min_confidence: 0.3 # Minimum confidence to save
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min_area: 100 # Minimum bbox area in pixels
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max_area: null # Maximum bbox area (null = no limit)
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min_size: 0.01 # Minimum bbox dimension (normalized)
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output:
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directory: "output/annotations" # Output directory
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save_snapshots: true # Save clean images
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save_labels: true # Save YOLO labels
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save_debug: true # Save debug visualizations
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save_manifest: true # Save JSON manifest
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image_format: "jpg" # jpg or png
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image_quality: 95 # JPEG quality (1-100)
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classes:
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# Class name mapping (for display/filtering)
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0: "person"
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1: "bicycle"
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2: "car"
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# ... etc
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```
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---
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## Component 2: Frigate-Mini-RKNN
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### Purpose
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Minimal standalone Frigate-like system for RKNN inference on Rockchip devices, outputting annotation pairs.
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### Workflow
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```
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MP4 Feed → Frame Decode → RKNN Inference → Object Tracking → Snapshot + Label Export
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```
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### Features
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1. **Video Input**
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- MP4 file as "camera" source
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- Loop playback option
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- Configurable FPS limit
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- Multiple video sources support
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2. **RKNN Detector**
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- Load RKNN model (.rknn file)
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- NPU acceleration on Rockchip SoCs
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- Fallback to ONNX/CPU if RKNN unavailable
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- Batch inference support
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3. **Object Detection**
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- YOLOv9t architecture support
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- Configurable input resolution
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- Post-processing (NMS, filtering)
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- Class filtering
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4. **Snapshot System**
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- Capture on detection trigger
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- Configurable cooldown period
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- Clean snapshots (no overlays)
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- Crop to detected object (optional)
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5. **Annotation Export**
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- YOLO format labels
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- Synchronized snapshot-label pairs
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- Auto-naming with timestamps
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- Dataset structure output
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6. **Debug Mode**
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- Real-time object list display
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- Bounding box visualization
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- FPS counter
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- Detection statistics
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- Save debug frames
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### Configuration (frigate_mini.yaml)
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#### Option A: ONNX CPU-Only (Recommended for development/testing)
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```yaml
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# Frigate-Mini Configuration - ONNX CPU Mode
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# Works on any system without special hardware
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debug: true
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log_level: "info"
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detector:
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type: "onnx" # Use ONNX Runtime
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model_path: "models/yolov9t.onnx" # ONNX model file
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input_size: [640, 640] # Model input resolution
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conf_threshold: 0.25 # Detection confidence
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nms_threshold: 0.45 # NMS threshold
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# ONNX specific settings
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onnx:
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device: "cpu" # cpu or cuda
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num_threads: 4 # CPU threads (0 = auto)
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optimization_level: "all" # none, basic, extended, all
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```
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#### Option B: RKNN NPU (For Rockchip devices)
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```yaml
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# Frigate-Mini Configuration - RKNN NPU Mode
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# For Rockchip SBCs (RK3588, RK3568, etc.)
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debug: true
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log_level: "info"
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detector:
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type: "rknn" # Use RKNN Runtime
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model_path: "models/yolov9t.rknn" # RKNN model file
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input_size: [640, 640] # Model input resolution
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conf_threshold: 0.25 # Detection confidence
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nms_threshold: 0.45 # NMS threshold
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# RKNN specific
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rknn:
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target_platform: "rk3588" # rk3588, rk3568, rk3566, etc.
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core_mask: 7 # NPU core mask (7 = all 3 cores on RK3588)
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# Fallback to ONNX if RKNN fails
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fallback:
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enabled: true
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type: "onnx"
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device: "cpu"
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```
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#### Option C: Ultralytics YOLO (For CUDA systems)
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||||
|
||||
```yaml
|
||||
# Frigate-Mini Configuration - Ultralytics YOLO Mode
|
||||
# For systems with NVIDIA GPU
|
||||
|
||||
debug: true
|
||||
log_level: "info"
|
||||
|
||||
detector:
|
||||
type: "yolo" # Use Ultralytics
|
||||
model_path: "models/yolov9t.pt" # PyTorch model file
|
||||
conf_threshold: 0.25
|
||||
nms_threshold: 0.45
|
||||
|
||||
# YOLO specific
|
||||
yolo:
|
||||
device: "cuda" # cpu, cuda, cuda:0, etc.
|
||||
half: true # FP16 inference (faster on GPU)
|
||||
```
|
||||
|
||||
#### Full Configuration Example (with all options)
|
||||
|
||||
# Video sources (cameras)
|
||||
cameras:
|
||||
front_door:
|
||||
enabled: true
|
||||
source: "input/front_door.mp4" # MP4 file path
|
||||
fps: 5 # Processing FPS limit
|
||||
loop: true # Loop video playback
|
||||
|
||||
# Detection zones (optional)
|
||||
detect:
|
||||
enabled: true
|
||||
width: 1280 # Detection resolution
|
||||
height: 720
|
||||
|
||||
# Object filtering
|
||||
objects:
|
||||
track:
|
||||
- person
|
||||
- car
|
||||
- dog
|
||||
filters:
|
||||
person:
|
||||
min_area: 1000 # Minimum area in pixels
|
||||
max_area: 500000
|
||||
min_score: 0.4
|
||||
|
||||
backyard:
|
||||
enabled: true
|
||||
source: "input/backyard.mp4"
|
||||
fps: 5
|
||||
loop: true
|
||||
|
||||
# Snapshot settings
|
||||
snapshots:
|
||||
enabled: true
|
||||
output_dir: "output/snapshots"
|
||||
|
||||
# Trigger settings
|
||||
trigger:
|
||||
objects: # Objects that trigger snapshot
|
||||
- person
|
||||
- car
|
||||
min_score: 0.5 # Minimum score to trigger
|
||||
cooldown: 2.0 # Seconds between snapshots per object
|
||||
|
||||
# Output settings
|
||||
format: "jpg" # jpg or png
|
||||
quality: 95 # JPEG quality
|
||||
clean: true # No annotations on snapshot
|
||||
crop: false # Crop to object bbox
|
||||
retain_days: 7 # Days to keep snapshots
|
||||
|
||||
# Annotation export
|
||||
annotations:
|
||||
enabled: true
|
||||
output_dir: "output/labels"
|
||||
format: "yolo" # YOLO format
|
||||
|
||||
# Pairing
|
||||
pair_with_snapshots: true # Create snapshot-label pairs
|
||||
|
||||
# Filtering
|
||||
min_score: 0.3
|
||||
classes: null # null = all classes
|
||||
|
||||
# Debug settings
|
||||
debug_output:
|
||||
enabled: true
|
||||
output_dir: "output/debug"
|
||||
|
||||
# Object list display
|
||||
object_list:
|
||||
enabled: true
|
||||
show_confidence: true
|
||||
show_class: true
|
||||
show_bbox: true
|
||||
|
||||
# Visualization
|
||||
visualization:
|
||||
enabled: true
|
||||
draw_boxes: true
|
||||
draw_labels: true
|
||||
draw_confidence: true
|
||||
box_thickness: 2
|
||||
font_scale: 0.5
|
||||
|
||||
# Statistics
|
||||
stats:
|
||||
show_fps: true
|
||||
show_detection_count: true
|
||||
log_interval: 100 # Log stats every N frames
|
||||
|
||||
# Class definitions
|
||||
class_names:
|
||||
0: person
|
||||
1: bicycle
|
||||
2: car
|
||||
3: motorcycle
|
||||
4: airplane
|
||||
5: bus
|
||||
6: train
|
||||
7: truck
|
||||
8: boat
|
||||
9: traffic light
|
||||
10: fire hydrant
|
||||
# ... COCO classes continue
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## Module Specifications
|
||||
|
||||
### 1. yolo_annotator/annotator.py
|
||||
|
||||
```python
|
||||
class YOLOAnnotator:
|
||||
"""YOLO-based automatic video annotator."""
|
||||
|
||||
def __init__(self, config_path: str):
|
||||
"""Load configuration and initialize model."""
|
||||
|
||||
def load_model(self, model_path: str, device: str) -> None:
|
||||
"""Load YOLOv9t model."""
|
||||
|
||||
def process_video(self, video_path: str) -> AnnotationResult:
|
||||
"""Process entire video and generate annotations."""
|
||||
|
||||
def process_frame(self, frame: np.ndarray) -> List[Detection]:
|
||||
"""Process single frame and return detections."""
|
||||
|
||||
def filter_detections(self, detections: List[Detection]) -> List[Detection]:
|
||||
"""Apply filtering rules to detections."""
|
||||
|
||||
def export_annotations(self, output_dir: str) -> None:
|
||||
"""Export all annotations to YOLO format."""
|
||||
```
|
||||
|
||||
### 2. frigate_mini/detector/rknn_detector.py
|
||||
|
||||
```python
|
||||
class RKNNDetector:
|
||||
"""RKNN-based YOLO detector for Rockchip NPU."""
|
||||
|
||||
def __init__(self, model_path: str, target_platform: str):
|
||||
"""Initialize RKNN runtime."""
|
||||
|
||||
def load_model(self) -> bool:
|
||||
"""Load RKNN model to NPU."""
|
||||
|
||||
def preprocess(self, frame: np.ndarray) -> np.ndarray:
|
||||
"""Preprocess frame for inference."""
|
||||
|
||||
def inference(self, input_data: np.ndarray) -> np.ndarray:
|
||||
"""Run inference on NPU."""
|
||||
|
||||
def postprocess(self, outputs: np.ndarray) -> List[Detection]:
|
||||
"""Parse YOLO outputs and apply NMS."""
|
||||
|
||||
def detect(self, frame: np.ndarray) -> List[Detection]:
|
||||
"""Full detection pipeline."""
|
||||
|
||||
def release(self) -> None:
|
||||
"""Release RKNN resources."""
|
||||
```
|
||||
|
||||
### 3. frigate_mini/output/annotation.py
|
||||
|
||||
```python
|
||||
class AnnotationWriter:
|
||||
"""Write YOLO format annotation files."""
|
||||
|
||||
def __init__(self, output_dir: str, class_names: Dict[int, str]):
|
||||
"""Initialize annotation writer."""
|
||||
|
||||
def write_label(self,
|
||||
image_name: str,
|
||||
detections: List[Detection],
|
||||
image_size: Tuple[int, int]) -> str:
|
||||
"""Write YOLO label file for image."""
|
||||
|
||||
def detection_to_yolo(self,
|
||||
detection: Detection,
|
||||
image_width: int,
|
||||
image_height: int) -> str:
|
||||
"""Convert detection to YOLO format string."""
|
||||
|
||||
def create_dataset_structure(self) -> None:
|
||||
"""Create YOLO dataset directory structure."""
|
||||
|
||||
def write_data_yaml(self, train_path: str, val_path: str) -> str:
|
||||
"""Generate data.yaml for training."""
|
||||
```
|
||||
|
||||
### 4. frigate_mini/debug/object_list.py
|
||||
|
||||
```python
|
||||
class ObjectListDisplay:
|
||||
"""Display detected objects in debug mode."""
|
||||
|
||||
def __init__(self, config: Dict):
|
||||
"""Initialize display settings."""
|
||||
|
||||
def update(self, detections: List[Detection]) -> None:
|
||||
"""Update object list with new detections."""
|
||||
|
||||
def format_detection(self, detection: Detection) -> str:
|
||||
"""Format single detection for display."""
|
||||
|
||||
def print_list(self) -> None:
|
||||
"""Print current object list to console."""
|
||||
|
||||
def save_snapshot_with_labels(self,
|
||||
frame: np.ndarray,
|
||||
detections: List[Detection],
|
||||
output_path: str) -> None:
|
||||
"""Save debug image with annotations."""
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## Data Structures
|
||||
|
||||
### Detection
|
||||
|
||||
```python
|
||||
@dataclass
|
||||
class Detection:
|
||||
class_id: int # Class index
|
||||
class_name: str # Class name
|
||||
confidence: float # Detection confidence (0-1)
|
||||
bbox: BBox # Bounding box
|
||||
track_id: Optional[int] # Tracking ID (if tracked)
|
||||
timestamp: float # Frame timestamp
|
||||
frame_id: int # Frame number
|
||||
|
||||
@dataclass
|
||||
class BBox:
|
||||
x1: float # Top-left x (pixels)
|
||||
y1: float # Top-left y (pixels)
|
||||
x2: float # Bottom-right x (pixels)
|
||||
y2: float # Bottom-right y (pixels)
|
||||
|
||||
def to_yolo(self, img_w: int, img_h: int) -> Tuple[float, float, float, float]:
|
||||
"""Convert to YOLO format (x_center, y_center, width, height) normalized."""
|
||||
|
||||
def area(self) -> float:
|
||||
"""Calculate bbox area in pixels."""
|
||||
```
|
||||
|
||||
### AnnotationPair
|
||||
|
||||
```python
|
||||
@dataclass
|
||||
class AnnotationPair:
|
||||
image_path: str # Path to snapshot image
|
||||
label_path: str # Path to YOLO label file
|
||||
detections: List[Detection]
|
||||
timestamp: datetime
|
||||
camera_name: str
|
||||
frame_id: int
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## Output Format
|
||||
|
||||
### Directory Structure
|
||||
|
||||
```
|
||||
output/
|
||||
├── snapshots/
|
||||
│ ├── front_door/
|
||||
│ │ ├── 20240115_143022_001.jpg
|
||||
│ │ ├── 20240115_143025_002.jpg
|
||||
│ │ └── ...
|
||||
│ └── backyard/
|
||||
│ └── ...
|
||||
├── labels/
|
||||
│ ├── front_door/
|
||||
│ │ ├── 20240115_143022_001.txt
|
||||
│ │ ├── 20240115_143025_002.txt
|
||||
│ │ └── ...
|
||||
│ └── backyard/
|
||||
│ └── ...
|
||||
├── debug/
|
||||
│ ├── front_door/
|
||||
│ │ ├── 20240115_143022_001_debug.jpg
|
||||
│ │ └── ...
|
||||
│ └── object_log.txt
|
||||
└── manifest.json
|
||||
```
|
||||
|
||||
### YOLO Label Format
|
||||
|
||||
```
|
||||
# {class_id} {x_center} {y_center} {width} {height}
|
||||
0 0.456789 0.321456 0.123456 0.234567
|
||||
2 0.789012 0.654321 0.098765 0.176543
|
||||
```
|
||||
|
||||
### Manifest JSON
|
||||
|
||||
```json
|
||||
{
|
||||
"created": "2024-01-15T14:30:22",
|
||||
"model": "yolov9t.rknn",
|
||||
"total_frames": 1500,
|
||||
"total_detections": 3420,
|
||||
"pairs": [
|
||||
{
|
||||
"image": "snapshots/front_door/20240115_143022_001.jpg",
|
||||
"label": "labels/front_door/20240115_143022_001.txt",
|
||||
"camera": "front_door",
|
||||
"frame_id": 150,
|
||||
"timestamp": "2024-01-15T14:30:22.500",
|
||||
"detections": [
|
||||
{"class": "person", "confidence": 0.87},
|
||||
{"class": "car", "confidence": 0.92}
|
||||
]
|
||||
}
|
||||
]
|
||||
}
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## Implementation Phases
|
||||
|
||||
### Phase 1: Core YOLO Annotator (Week 1)
|
||||
- [ ] Create `yolo_annotator/` module structure
|
||||
- [ ] Implement `YOLOAnnotator` class with Ultralytics backend
|
||||
- [ ] Implement video source handling
|
||||
- [ ] Implement YOLO label export
|
||||
- [ ] Create `annotator.yaml` config loader
|
||||
- [ ] Add CLI script `scripts/annotate.py`
|
||||
- [ ] Test with sample video
|
||||
|
||||
### Phase 2: Frigate-Mini Base (Week 2)
|
||||
- [ ] Create `frigate_mini/` module structure
|
||||
- [ ] Implement config schema and loader
|
||||
- [ ] Implement base detector interface
|
||||
- [ ] Implement ONNX detector (for testing)
|
||||
- [ ] Implement MP4 video source
|
||||
- [ ] Implement basic frame processing loop
|
||||
- [ ] Test basic detection pipeline
|
||||
|
||||
### Phase 3: RKNN Integration (Week 3)
|
||||
- [ ] Implement RKNN detector backend
|
||||
- [ ] Create ONNX to RKNN conversion script
|
||||
- [ ] Test on Rockchip hardware (RK3588/RK3568)
|
||||
- [ ] Optimize for NPU performance
|
||||
- [ ] Add fallback mechanism
|
||||
|
||||
### Phase 4: Snapshot & Annotation System (Week 4)
|
||||
- [ ] Implement snapshot capture system
|
||||
- [ ] Implement annotation writer
|
||||
- [ ] Implement snapshot-label pairing
|
||||
- [ ] Add trigger-based capture logic
|
||||
- [ ] Create manifest generator
|
||||
|
||||
### Phase 5: Debug System (Week 5)
|
||||
- [ ] Implement object list display
|
||||
- [ ] Implement debug visualization
|
||||
- [ ] Add statistics tracking
|
||||
- [ ] Create debug frame saver
|
||||
- [ ] Add console and file logging
|
||||
|
||||
### Phase 6: Integration & Testing (Week 6)
|
||||
- [ ] Integration testing
|
||||
- [ ] Performance optimization
|
||||
- [ ] Documentation
|
||||
- [ ] Example configs for common use cases
|
||||
- [ ] Package for distribution
|
||||
|
||||
---
|
||||
|
||||
## Dependencies
|
||||
|
||||
### New Requirements
|
||||
|
||||
```
|
||||
# requirements.txt additions
|
||||
|
||||
# YOLO
|
||||
ultralytics>=8.0.0
|
||||
|
||||
# RKNN (install separately based on platform)
|
||||
# rknn-toolkit2 # For conversion (x86)
|
||||
# rknnlite2 # For inference (ARM)
|
||||
|
||||
# Video processing
|
||||
opencv-python>=4.8.0
|
||||
av>=10.0.0 # PyAV for efficient video decoding
|
||||
|
||||
# Configuration
|
||||
pyyaml>=6.0
|
||||
pydantic>=2.0 # Config validation
|
||||
|
||||
# Utilities
|
||||
tqdm>=4.65.0
|
||||
numpy>=1.24.0
|
||||
```
|
||||
|
||||
### RKNN Installation Notes
|
||||
|
||||
```bash
|
||||
# On x86 host (for model conversion):
|
||||
pip install rknn-toolkit2
|
||||
|
||||
# On Rockchip device (for inference):
|
||||
pip install rknnlite2
|
||||
|
||||
# Or install from Rockchip GitHub releases
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## Usage Examples
|
||||
|
||||
### 1. CPU-Only Workflow (ONNX) - Recommended for Development
|
||||
|
||||
```bash
|
||||
# Step 1: Download pretrained YOLOv9t
|
||||
wget https://github.com/ultralytics/assets/releases/download/v8.1.0/yolov9t.pt -O models/yolov9t.pt
|
||||
|
||||
# Step 2: Convert to ONNX
|
||||
python scripts/convert_to_onnx.py --input models/yolov9t.pt --output models/yolov9t.onnx
|
||||
|
||||
# Step 3a: Auto-annotate video (CPU)
|
||||
python scripts/annotate.py --config configs/annotator_cpu.yaml
|
||||
# Or with CLI args:
|
||||
python scripts/annotate.py \
|
||||
--model models/yolov9t.onnx \
|
||||
--video input/video.mp4 \
|
||||
--device cpu
|
||||
|
||||
# Step 3b: Run Frigate-Mini (CPU)
|
||||
python scripts/frigate_mini.py --config configs/frigate_mini_cpu.yaml
|
||||
# Or with CLI args:
|
||||
python scripts/frigate_mini.py \
|
||||
--model models/yolov9t.onnx \
|
||||
--video input/video.mp4 \
|
||||
--output output/ \
|
||||
--debug
|
||||
```
|
||||
|
||||
### 2. RKNN Workflow (Rockchip NPU)
|
||||
|
||||
```bash
|
||||
# Step 1: Convert ONNX to RKNN (on x86 host)
|
||||
python scripts/convert_to_rknn.py \
|
||||
--input models/yolov9t.onnx \
|
||||
--output models/yolov9t.rknn \
|
||||
--platform rk3588
|
||||
|
||||
# Step 2: Copy to Rockchip device and run
|
||||
python scripts/frigate_mini.py --config configs/frigate_mini.yaml
|
||||
# Or:
|
||||
python scripts/frigate_mini.py \
|
||||
--model models/yolov9t.rknn \
|
||||
--video input/video.mp4 \
|
||||
--platform rk3588
|
||||
```
|
||||
|
||||
### 3. GPU Workflow (CUDA)
|
||||
|
||||
```bash
|
||||
# Using Ultralytics directly with GPU
|
||||
python scripts/annotate.py \
|
||||
--model models/yolov9t.pt \
|
||||
--video input/video.mp4 \
|
||||
--device cuda
|
||||
```
|
||||
|
||||
### Quick Reference
|
||||
|
||||
| Task | CPU (ONNX) | RKNN (NPU) | GPU (CUDA) |
|
||||
|------|------------|------------|------------|
|
||||
| Model file | `.onnx` | `.rknn` | `.pt` |
|
||||
| Config | `*_cpu.yaml` | `frigate_mini.yaml` | Use `--device cuda` |
|
||||
| Speed | 5-15 FPS | 30+ FPS | 50+ FPS |
|
||||
| Hardware | Any CPU | Rockchip SBC | NVIDIA GPU |
|
||||
|
||||
---
|
||||
|
||||
## Future Enhancements
|
||||
|
||||
1. **RTSP Support** - Add real camera stream input
|
||||
2. **Object Tracking** - Add ByteTrack/BoT-SORT for consistent IDs
|
||||
3. **Web UI** - Simple web interface for monitoring
|
||||
4. **Multi-model** - Support different models per camera
|
||||
5. **Event System** - Webhooks for detection events
|
||||
6. **Auto-labeling Refinement** - Use SAM2 to refine YOLO boxes
|
||||
7. **Active Learning** - Flag low-confidence detections for review
|
||||
|
||||
---
|
||||
|
||||
## References
|
||||
|
||||
- [Ultralytics YOLOv9](https://github.com/ultralytics/ultralytics)
|
||||
- [RKNN-Toolkit2](https://github.com/rockchip-linux/rknn-toolkit2)
|
||||
- [Frigate NVR](https://github.com/blakeblackshear/frigate)
|
||||
- [YOLO Label Format](https://docs.ultralytics.com/datasets/detect/)
|
||||
115
sam2-cpu/configs/annotator.yaml
Normal file
115
sam2-cpu/configs/annotator.yaml
Normal file
@@ -0,0 +1,115 @@
|
||||
# YOLO-Assisted Annotator Configuration
|
||||
# Use pretrained YOLOv9t to auto-annotate video frames
|
||||
|
||||
model:
|
||||
path: "models/yolov9t.pt" # Path to YOLO model (.pt, .onnx, or .rknn)
|
||||
device: "cuda" # cuda, cpu, or rknn
|
||||
conf_threshold: 0.25 # Confidence threshold
|
||||
iou_threshold: 0.45 # NMS IoU threshold
|
||||
|
||||
video:
|
||||
source: "input/video.mp4" # Video file path
|
||||
sample_fps: 2 # Frames per second to extract
|
||||
max_frames: null # Max frames (null = all)
|
||||
start_time: 0 # Start time in seconds
|
||||
end_time: null # End time (null = end of video)
|
||||
resize: null # [width, height] or null
|
||||
|
||||
detection:
|
||||
classes: null # Class IDs to keep (null = all), e.g. [0, 2, 5]
|
||||
min_confidence: 0.3 # Minimum confidence to save
|
||||
min_area: 100 # Minimum bbox area in pixels
|
||||
max_area: null # Maximum bbox area (null = no limit)
|
||||
min_size: 0.01 # Minimum bbox dimension (normalized 0-1)
|
||||
|
||||
output:
|
||||
directory: "output/annotations" # Output directory
|
||||
save_snapshots: true # Save clean images (no boxes)
|
||||
save_labels: true # Save YOLO format labels
|
||||
save_debug: true # Save debug visualizations (with boxes)
|
||||
save_manifest: true # Save JSON manifest
|
||||
image_format: "jpg" # jpg or png
|
||||
image_quality: 95 # JPEG quality (1-100)
|
||||
|
||||
# Class name mapping (COCO classes for pretrained model)
|
||||
class_names:
|
||||
0: person
|
||||
1: bicycle
|
||||
2: car
|
||||
3: motorcycle
|
||||
4: airplane
|
||||
5: bus
|
||||
6: train
|
||||
7: truck
|
||||
8: boat
|
||||
9: traffic light
|
||||
10: fire hydrant
|
||||
11: stop sign
|
||||
12: parking meter
|
||||
13: bench
|
||||
14: bird
|
||||
15: cat
|
||||
16: dog
|
||||
17: horse
|
||||
18: sheep
|
||||
19: cow
|
||||
20: elephant
|
||||
21: bear
|
||||
22: zebra
|
||||
23: giraffe
|
||||
24: backpack
|
||||
25: umbrella
|
||||
26: handbag
|
||||
27: tie
|
||||
28: suitcase
|
||||
29: frisbee
|
||||
30: skis
|
||||
31: snowboard
|
||||
32: sports ball
|
||||
33: kite
|
||||
34: baseball bat
|
||||
35: baseball glove
|
||||
36: skateboard
|
||||
37: surfboard
|
||||
38: tennis racket
|
||||
39: bottle
|
||||
40: wine glass
|
||||
41: cup
|
||||
42: fork
|
||||
43: knife
|
||||
44: spoon
|
||||
45: bowl
|
||||
46: banana
|
||||
47: apple
|
||||
48: sandwich
|
||||
49: orange
|
||||
50: broccoli
|
||||
51: carrot
|
||||
52: hot dog
|
||||
53: pizza
|
||||
54: donut
|
||||
55: cake
|
||||
56: chair
|
||||
57: couch
|
||||
58: potted plant
|
||||
59: bed
|
||||
60: dining table
|
||||
61: toilet
|
||||
62: tv
|
||||
63: laptop
|
||||
64: mouse
|
||||
65: remote
|
||||
66: keyboard
|
||||
67: cell phone
|
||||
68: microwave
|
||||
69: oven
|
||||
70: toaster
|
||||
71: sink
|
||||
72: refrigerator
|
||||
73: book
|
||||
74: clock
|
||||
75: vase
|
||||
76: scissors
|
||||
77: teddy bear
|
||||
78: hair drier
|
||||
79: toothbrush
|
||||
61
sam2-cpu/configs/annotator_cpu.yaml
Normal file
61
sam2-cpu/configs/annotator_cpu.yaml
Normal file
@@ -0,0 +1,61 @@
|
||||
# YOLO Annotator Configuration - CPU Only (ONNX)
|
||||
#
|
||||
# This configuration uses ONNX Runtime for CPU-only inference.
|
||||
# No GPU required - works on any system.
|
||||
#
|
||||
# Usage:
|
||||
# python scripts/annotate.py --config configs/annotator_cpu.yaml
|
||||
|
||||
model:
|
||||
path: "models/yolov9t.onnx" # ONNX model file
|
||||
device: "cpu" # cpu (ONNX uses CPU by default)
|
||||
backend: "onnx" # Force ONNX backend
|
||||
conf_threshold: 0.25 # Confidence threshold
|
||||
iou_threshold: 0.45 # NMS IoU threshold
|
||||
|
||||
# ONNX specific options
|
||||
onnx:
|
||||
num_threads: 0 # CPU threads (0 = auto)
|
||||
optimization_level: "all" # Graph optimization level
|
||||
|
||||
video:
|
||||
source: "input/video.mp4" # Video file path
|
||||
sample_fps: 2 # Frames per second to extract
|
||||
max_frames: null # Max frames (null = all)
|
||||
start_time: 0 # Start time in seconds
|
||||
end_time: null # End time (null = end of video)
|
||||
resize: null # [width, height] or null
|
||||
|
||||
detection:
|
||||
classes: null # Class IDs to keep (null = all)
|
||||
min_confidence: 0.3 # Minimum confidence to save
|
||||
min_area: 100 # Minimum bbox area in pixels
|
||||
max_area: null # Maximum bbox area (null = no limit)
|
||||
min_size: 0.01 # Minimum bbox dimension (normalized)
|
||||
|
||||
output:
|
||||
directory: "output/annotations" # Output directory
|
||||
save_snapshots: true # Save clean images
|
||||
save_labels: true # Save YOLO labels
|
||||
save_debug: true # Save debug visualizations
|
||||
save_manifest: true # Save JSON manifest
|
||||
image_format: "jpg" # jpg or png
|
||||
image_quality: 95 # JPEG quality (1-100)
|
||||
|
||||
# Class names (COCO subset - common objects)
|
||||
class_names:
|
||||
0: person
|
||||
1: bicycle
|
||||
2: car
|
||||
3: motorcycle
|
||||
4: airplane
|
||||
5: bus
|
||||
6: train
|
||||
7: truck
|
||||
8: boat
|
||||
14: bird
|
||||
15: cat
|
||||
16: dog
|
||||
17: horse
|
||||
18: sheep
|
||||
19: cow
|
||||
51
sam2-cpu/configs/annotator_cpu_pt.yaml
Normal file
51
sam2-cpu/configs/annotator_cpu_pt.yaml
Normal file
@@ -0,0 +1,51 @@
|
||||
# YOLO Annotator Configuration - CPU Only (ONNX)
|
||||
#
|
||||
# This configuration uses ONNX Runtime for CPU-only inference.
|
||||
# No GPU required - works on any system.
|
||||
#
|
||||
# Usage:
|
||||
# python scripts/annotate.py --config configs/annotator_cpu.yaml
|
||||
|
||||
model:
|
||||
#path: "models/krg_tuang_yolov9t_best.pt" # ONNX model file
|
||||
#path: "models/tuangatas.pt" # ONNX model file
|
||||
path: "models/krg_masuk_yolov9t_best.pt" # ONNX model file
|
||||
device: "cpu" # cpu (ONNX uses CPU by default)
|
||||
backend: "pt" # Force ONNX backend
|
||||
conf_threshold: 0.25 # Confidence threshold
|
||||
iou_threshold: 0.45 # NMS IoU threshold
|
||||
|
||||
# ONNX specific options
|
||||
onnx:
|
||||
num_threads: 0 # CPU threads (0 = auto)
|
||||
optimization_level: "all" # Graph optimization level
|
||||
|
||||
video:
|
||||
source: "input/karung_masuk.mp4" # Video file path
|
||||
#source: "input/tuang_train_20260120-1.mp4" # Video file path
|
||||
#source: "input/atas.mp4" # Video file path
|
||||
sample_fps: 3 # Frames per second to extract
|
||||
max_frames: null # Max frames (null = all)
|
||||
start_time: 0 # Start time in seconds
|
||||
end_time: null # End time (null = end of video)
|
||||
resize: null # [width, height] or null
|
||||
|
||||
detection:
|
||||
classes: 0 # Class IDs to keep (null = all)
|
||||
min_confidence: 0.3 # Minimum confidence to save
|
||||
min_area: 100 # Minimum bbox area in pixels
|
||||
max_area: null # Maximum bbox area (null = no limit)
|
||||
min_size: 0.01 # Minimum bbox dimension (normalized)
|
||||
|
||||
output:
|
||||
directory: "output/annotations" # Output directory
|
||||
save_snapshots: true # Save clean images
|
||||
save_labels: true # Save YOLO labels
|
||||
save_debug: true # Save debug visualizations
|
||||
save_manifest: true # Save JSON manifest
|
||||
image_format: "jpg" # jpg or png
|
||||
image_quality: 95 # JPEG quality (1-100)
|
||||
|
||||
# Class names (COCO subset - common objects)
|
||||
class_names:
|
||||
0: karung
|
||||
220
sam2-cpu/configs/frigate_mini.yaml
Normal file
220
sam2-cpu/configs/frigate_mini.yaml
Normal file
@@ -0,0 +1,220 @@
|
||||
# Frigate-Mini-RKNN Configuration
|
||||
# Minimal Frigate fork for RKNN inference with MP4 input
|
||||
|
||||
# Global settings
|
||||
debug: true # Enable debug mode
|
||||
log_level: "info" # debug, info, warning, error
|
||||
|
||||
# Model / Detector configuration
|
||||
detector:
|
||||
type: "rknn" # rknn, onnx, or yolo
|
||||
model_path: "models/yolov9t.rknn" # Path to model file
|
||||
input_size: [640, 640] # Model input resolution [width, height]
|
||||
conf_threshold: 0.25 # Detection confidence threshold
|
||||
nms_threshold: 0.45 # NMS IoU threshold
|
||||
|
||||
# RKNN specific settings
|
||||
rknn:
|
||||
target_platform: "rk3588" # rk3588, rk3568, rk3566, rk3562, rv1106, rv1103
|
||||
core_mask: 7 # NPU core mask (RK3588: 7=all 3 cores, 1/2/4=single core)
|
||||
async_mode: false # Async inference mode
|
||||
|
||||
# Fallback settings (when RKNN not available)
|
||||
fallback:
|
||||
enabled: true # Fall back to ONNX/YOLO if RKNN fails
|
||||
type: "yolo" # onnx or yolo
|
||||
device: "cpu" # cpu or cuda
|
||||
|
||||
# Video sources (cameras)
|
||||
cameras:
|
||||
# Example camera 1: Front door
|
||||
front_door:
|
||||
enabled: true
|
||||
source: "input/front_door.mp4" # MP4 file path (acts as camera feed)
|
||||
fps: 5 # Max processing FPS
|
||||
loop: true # Loop video when finished
|
||||
|
||||
# Detection settings
|
||||
detect:
|
||||
enabled: true
|
||||
width: 1280 # Processing resolution width
|
||||
height: 720 # Processing resolution height
|
||||
|
||||
# Object filtering per camera
|
||||
objects:
|
||||
track: # Objects to detect
|
||||
- person
|
||||
- car
|
||||
- dog
|
||||
- cat
|
||||
filters:
|
||||
person:
|
||||
min_area: 1000 # Minimum bbox area in pixels
|
||||
max_area: 500000 # Maximum bbox area
|
||||
min_score: 0.4 # Minimum confidence
|
||||
car:
|
||||
min_area: 2000
|
||||
min_score: 0.35
|
||||
|
||||
# Example camera 2: Backyard
|
||||
backyard:
|
||||
enabled: false # Disabled by default
|
||||
source: "input/backyard.mp4"
|
||||
fps: 5
|
||||
loop: true
|
||||
detect:
|
||||
enabled: true
|
||||
width: 1280
|
||||
height: 720
|
||||
objects:
|
||||
track:
|
||||
- person
|
||||
- dog
|
||||
- cat
|
||||
- bird
|
||||
|
||||
# Snapshot settings
|
||||
snapshots:
|
||||
enabled: true
|
||||
output_dir: "output/snapshots"
|
||||
|
||||
# Trigger settings
|
||||
trigger:
|
||||
objects: # Objects that trigger snapshot
|
||||
- person
|
||||
- car
|
||||
min_score: 0.5 # Minimum score to trigger snapshot
|
||||
cooldown: 2.0 # Seconds between snapshots per object type
|
||||
|
||||
# Output settings
|
||||
format: "jpg" # jpg or png
|
||||
quality: 95 # JPEG quality (1-100)
|
||||
clean: true # Save clean snapshots (no bboxes drawn)
|
||||
crop: false # Crop to detected object bbox
|
||||
retain_days: 7 # Days to keep snapshots (0 = forever)
|
||||
|
||||
# Annotation export settings
|
||||
annotations:
|
||||
enabled: true
|
||||
output_dir: "output/labels"
|
||||
format: "yolo" # YOLO format (class x_center y_center w h)
|
||||
|
||||
# Pairing with snapshots
|
||||
pair_with_snapshots: true # Create snapshot-label pairs
|
||||
|
||||
# Filtering
|
||||
min_score: 0.3 # Minimum score to include in annotation
|
||||
classes: null # null = all classes, or list like [0, 2]
|
||||
|
||||
# Debug output settings
|
||||
debug_output:
|
||||
enabled: true
|
||||
output_dir: "output/debug"
|
||||
|
||||
# Object list display (console output)
|
||||
object_list:
|
||||
enabled: true
|
||||
show_confidence: true # Show confidence scores
|
||||
show_class: true # Show class names
|
||||
show_bbox: true # Show bbox coordinates
|
||||
show_track_id: false # Show tracking ID (if tracking enabled)
|
||||
|
||||
# Visualization (debug images)
|
||||
visualization:
|
||||
enabled: true
|
||||
draw_boxes: true # Draw bounding boxes
|
||||
draw_labels: true # Draw class labels
|
||||
draw_confidence: true # Draw confidence scores
|
||||
box_color: [0, 255, 0] # BGR color for boxes
|
||||
box_thickness: 2 # Line thickness
|
||||
font_scale: 0.5 # Font scale for labels
|
||||
save_interval: 10 # Save every N frames (0 = save all)
|
||||
|
||||
# Statistics
|
||||
stats:
|
||||
show_fps: true # Show FPS counter
|
||||
show_detection_count: true # Show total detections
|
||||
log_interval: 100 # Log stats every N frames
|
||||
|
||||
# Class name mapping (same as annotator for consistency)
|
||||
class_names:
|
||||
0: person
|
||||
1: bicycle
|
||||
2: car
|
||||
3: motorcycle
|
||||
4: airplane
|
||||
5: bus
|
||||
6: train
|
||||
7: truck
|
||||
8: boat
|
||||
9: traffic light
|
||||
10: fire hydrant
|
||||
11: stop sign
|
||||
12: parking meter
|
||||
13: bench
|
||||
14: bird
|
||||
15: cat
|
||||
16: dog
|
||||
17: horse
|
||||
18: sheep
|
||||
19: cow
|
||||
20: elephant
|
||||
21: bear
|
||||
22: zebra
|
||||
23: giraffe
|
||||
24: backpack
|
||||
25: umbrella
|
||||
26: handbag
|
||||
27: tie
|
||||
28: suitcase
|
||||
29: frisbee
|
||||
30: skis
|
||||
31: snowboard
|
||||
32: sports ball
|
||||
33: kite
|
||||
34: baseball bat
|
||||
35: baseball glove
|
||||
36: skateboard
|
||||
37: surfboard
|
||||
38: tennis racket
|
||||
39: bottle
|
||||
40: wine glass
|
||||
41: cup
|
||||
42: fork
|
||||
43: knife
|
||||
44: spoon
|
||||
45: bowl
|
||||
46: banana
|
||||
47: apple
|
||||
48: sandwich
|
||||
49: orange
|
||||
50: broccoli
|
||||
51: carrot
|
||||
52: hot dog
|
||||
53: pizza
|
||||
54: donut
|
||||
55: cake
|
||||
56: chair
|
||||
57: couch
|
||||
58: potted plant
|
||||
59: bed
|
||||
60: dining table
|
||||
61: toilet
|
||||
62: tv
|
||||
63: laptop
|
||||
64: mouse
|
||||
65: remote
|
||||
66: keyboard
|
||||
67: cell phone
|
||||
68: microwave
|
||||
69: oven
|
||||
70: toaster
|
||||
71: sink
|
||||
72: refrigerator
|
||||
73: book
|
||||
74: clock
|
||||
75: vase
|
||||
76: scissors
|
||||
77: teddy bear
|
||||
78: hair drier
|
||||
79: toothbrush
|
||||
105
sam2-cpu/configs/frigate_mini_cpu.yaml
Normal file
105
sam2-cpu/configs/frigate_mini_cpu.yaml
Normal file
@@ -0,0 +1,105 @@
|
||||
# Frigate-Mini Configuration - CPU Only (ONNX)
|
||||
#
|
||||
# This configuration uses ONNX Runtime for CPU-only inference.
|
||||
# No special hardware required - works on any x86 or ARM system.
|
||||
#
|
||||
# Usage:
|
||||
# python scripts/frigate_mini.py --config configs/frigate_mini_cpu.yaml
|
||||
|
||||
# Global settings
|
||||
debug: true # Enable debug mode
|
||||
log_level: "info" # debug, info, warning, error
|
||||
|
||||
# Detector configuration - ONNX CPU Mode
|
||||
detector:
|
||||
type: "pt" # Use PYTORCH Runtime (CPU)
|
||||
model_path: "models/krg_masuk_yolov9t_best.pt" # PT model file
|
||||
input_size: [640, 640] # Model input resolution [width, height]
|
||||
conf_threshold: 0.25 # Detection confidence threshold
|
||||
nms_threshold: 0.45 # NMS IoU threshold
|
||||
|
||||
# ONNX specific settings
|
||||
onnx:
|
||||
device: "cpu" # cpu or cuda
|
||||
num_threads: 0 # CPU threads (0 = auto, uses all cores)
|
||||
optimization_level: "all" # none, basic, extended, all
|
||||
|
||||
# No fallback needed for ONNX (it's already the most compatible)
|
||||
fallback:
|
||||
enabled: false
|
||||
|
||||
# Video sources (cameras)
|
||||
cameras:
|
||||
default:
|
||||
enabled: true
|
||||
source: "input/video.mp4" # MP4 file path
|
||||
fps: 5 # Processing FPS (adjust based on CPU speed)
|
||||
loop: true # Loop video playback
|
||||
|
||||
detect:
|
||||
enabled: true
|
||||
width: 1280 # Processing resolution
|
||||
height: 720
|
||||
|
||||
objects:
|
||||
track:
|
||||
- person
|
||||
- car
|
||||
- dog
|
||||
- cat
|
||||
filters:
|
||||
person:
|
||||
min_area: 1000
|
||||
min_score: 0.4
|
||||
car:
|
||||
min_area: 2000
|
||||
min_score: 0.35
|
||||
|
||||
# Snapshot settings
|
||||
snapshots:
|
||||
enabled: true
|
||||
output_dir: "output/snapshots"
|
||||
|
||||
trigger:
|
||||
objects:
|
||||
- person
|
||||
- car
|
||||
min_score: 0.5
|
||||
cooldown: 2.0
|
||||
|
||||
format: "jpg"
|
||||
quality: 95
|
||||
clean: true # No annotations on snapshot
|
||||
|
||||
# Annotation export
|
||||
annotations:
|
||||
enabled: true
|
||||
output_dir: "output/labels"
|
||||
format: "yolo"
|
||||
pair_with_snapshots: true
|
||||
min_score: 0.3
|
||||
|
||||
# Debug output
|
||||
debug_output:
|
||||
enabled: true
|
||||
output_dir: "output/debug"
|
||||
|
||||
object_list:
|
||||
enabled: true
|
||||
show_confidence: true
|
||||
show_class: true
|
||||
show_bbox: true
|
||||
|
||||
visualization:
|
||||
enabled: true
|
||||
draw_boxes: true
|
||||
draw_labels: true
|
||||
save_interval: 10 # Save every 10 frames
|
||||
|
||||
stats:
|
||||
show_fps: true
|
||||
log_interval: 100
|
||||
|
||||
# Class names (COCO)
|
||||
class_names:
|
||||
0: karung
|
||||
103
sam2-cpu/configs/frigate_mini_cpu_pt.yaml
Normal file
103
sam2-cpu/configs/frigate_mini_cpu_pt.yaml
Normal file
@@ -0,0 +1,103 @@
|
||||
# Frigate-Mini Configuration - CPU Only (ONNX)
|
||||
#
|
||||
# This configuration uses ONNX Runtime for CPU-only inference.
|
||||
# No special hardware required - works on any x86 or ARM system.
|
||||
#
|
||||
# Usage:
|
||||
# python scripts/frigate_mini.py --config configs/frigate_mini_cpu.yaml
|
||||
|
||||
# Global settings
|
||||
debug: true # Enable debug mode
|
||||
log_level: "info" # debug, info, warning, error
|
||||
|
||||
# Detector configuration - ONNX CPU Mode
|
||||
detector:
|
||||
type: "cpu" # Use ONNX Runtime (CPU)
|
||||
model_path: "models/krg_masuk_yolov9t_best.pt" # ONNX model file
|
||||
#model_path: "models/tuangatas.pt" # ONNX model file
|
||||
input_size: [320, 320] # Model input resolution [width, height]
|
||||
conf_threshold: 0.25 # Detection confidence threshold
|
||||
nms_threshold: 0.45 # NMS IoU threshold
|
||||
|
||||
# ONNX specific settings
|
||||
onnx:
|
||||
device: "cpu" # cpu or cuda
|
||||
num_threads: 0 # CPU threads (0 = auto, uses all cores)
|
||||
optimization_level: "all" # none, basic, extended, all
|
||||
|
||||
# No fallback needed for ONNX (it's already the most compatible)
|
||||
fallback:
|
||||
enabled: false
|
||||
|
||||
# Video sources (cameras)
|
||||
cameras:
|
||||
default:
|
||||
enabled: true
|
||||
#source: "input/tuang_train_20260120-1.mp4" # Video file path
|
||||
source: "input/karung_masuk.mp4" # Video file path
|
||||
fps: 2 # Processing FPS (adjust based on CPU speed)
|
||||
loop: true # Loop video playback
|
||||
|
||||
detect:
|
||||
enabled: true
|
||||
width: 1280 # Processing resolution
|
||||
height: 720
|
||||
|
||||
objects:
|
||||
track:
|
||||
- karung
|
||||
filters:
|
||||
karung:
|
||||
min_area: 1000
|
||||
min_score: 0.4
|
||||
car:
|
||||
min_area: 2000
|
||||
min_score: 0.35
|
||||
|
||||
# Snapshot settings
|
||||
snapshots:
|
||||
enabled: true
|
||||
output_dir: "output/snapshots"
|
||||
|
||||
trigger:
|
||||
objects:
|
||||
- karung
|
||||
min_score: 0.4
|
||||
cooldown: 0.0
|
||||
|
||||
format: "jpg"
|
||||
quality: 95
|
||||
clean: true # No annotations on snapshot
|
||||
|
||||
# Annotation export
|
||||
annotations:
|
||||
enabled: true
|
||||
output_dir: "output/labels"
|
||||
format: "yolo"
|
||||
pair_with_snapshots: true
|
||||
min_score: 0.3
|
||||
|
||||
# Debug output
|
||||
debug_output:
|
||||
enabled: true
|
||||
output_dir: "output/debug"
|
||||
|
||||
object_list:
|
||||
enabled: true
|
||||
show_confidence: true
|
||||
show_class: true
|
||||
show_bbox: true
|
||||
|
||||
visualization:
|
||||
enabled: true
|
||||
draw_boxes: true
|
||||
draw_labels: true
|
||||
save_interval: 10 # Save every 10 frames
|
||||
|
||||
stats:
|
||||
show_fps: false
|
||||
log_interval: 10
|
||||
|
||||
# Class names (COCO)
|
||||
class_names:
|
||||
0: karung
|
||||
320
sam2-cpu/frigate-dev/.cspell/frigate-dictionary.txt
Normal file
320
sam2-cpu/frigate-dev/.cspell/frigate-dictionary.txt
Normal file
@@ -0,0 +1,320 @@
|
||||
aarch
|
||||
absdiff
|
||||
airockchip
|
||||
Alloc
|
||||
alpr
|
||||
Amcrest
|
||||
amdgpu
|
||||
analyzeduration
|
||||
Annke
|
||||
apexcharts
|
||||
arange
|
||||
argmax
|
||||
argmin
|
||||
argpartition
|
||||
ascontiguousarray
|
||||
astype
|
||||
authelia
|
||||
authentik
|
||||
autodetected
|
||||
automations
|
||||
autotrack
|
||||
autotracked
|
||||
autotracker
|
||||
autotracking
|
||||
backchannel
|
||||
balena
|
||||
Beelink
|
||||
BGRA
|
||||
BHWC
|
||||
blackshear
|
||||
blakeblackshear
|
||||
bottombar
|
||||
buildx
|
||||
castable
|
||||
cdist
|
||||
Celeron
|
||||
cgroups
|
||||
chipset
|
||||
chromadb
|
||||
Chromecast
|
||||
cmdline
|
||||
codeowner
|
||||
CODEOWNERS
|
||||
codeproject
|
||||
colormap
|
||||
colorspace
|
||||
comms
|
||||
cooldown
|
||||
coro
|
||||
ctypeslib
|
||||
CUDA
|
||||
Cuvid
|
||||
Dahua
|
||||
datasheet
|
||||
debconf
|
||||
deci
|
||||
deepstack
|
||||
defragment
|
||||
devcontainer
|
||||
DEVICEMAP
|
||||
discardcorrupt
|
||||
dpkg
|
||||
dsize
|
||||
dtype
|
||||
ECONNRESET
|
||||
edgetpu
|
||||
facenet
|
||||
fastapi
|
||||
faststart
|
||||
fflags
|
||||
ffprobe
|
||||
fillna
|
||||
flac
|
||||
foscam
|
||||
fourcc
|
||||
framebuffer
|
||||
fregate
|
||||
frégate
|
||||
fromarray
|
||||
frombuffer
|
||||
frontdoor
|
||||
fstype
|
||||
fullchain
|
||||
fullscreen
|
||||
genai
|
||||
generativeai
|
||||
genpts
|
||||
getpid
|
||||
gpuload
|
||||
HACS
|
||||
Hailo
|
||||
hass
|
||||
hconcat
|
||||
healthcheck
|
||||
hideable
|
||||
Hikvision
|
||||
homeassistant
|
||||
homekit
|
||||
homography
|
||||
hsize
|
||||
hstack
|
||||
httpx
|
||||
hwaccel
|
||||
hwdownload
|
||||
hwmap
|
||||
hwupload
|
||||
iloc
|
||||
imagestream
|
||||
imdecode
|
||||
imencode
|
||||
imread
|
||||
imwrite
|
||||
inpoint
|
||||
interp
|
||||
iostat
|
||||
iotop
|
||||
itemsize
|
||||
Jellyfin
|
||||
jetson
|
||||
jetsons
|
||||
jina
|
||||
jinaai
|
||||
joserfc
|
||||
jsmpeg
|
||||
jsonify
|
||||
Kalman
|
||||
keepalive
|
||||
keepdims
|
||||
labelmap
|
||||
letsencrypt
|
||||
levelname
|
||||
LIBAVFORMAT
|
||||
libedgetpu
|
||||
libnvinfer
|
||||
libva
|
||||
libwebp
|
||||
libx
|
||||
libyolo
|
||||
linalg
|
||||
localzone
|
||||
logpipe
|
||||
Loryta
|
||||
lstsq
|
||||
lsusb
|
||||
markupsafe
|
||||
maxsplit
|
||||
MEMHOSTALLOC
|
||||
memlimit
|
||||
meshgrid
|
||||
metadatas
|
||||
migraphx
|
||||
minilm
|
||||
mjpeg
|
||||
mkfifo
|
||||
mobiledet
|
||||
mobilenet
|
||||
modelpath
|
||||
mosquitto
|
||||
mountpoint
|
||||
movflags
|
||||
mpegts
|
||||
mqtt
|
||||
mse
|
||||
msenc
|
||||
namedtuples
|
||||
nbytes
|
||||
nchw
|
||||
ndarray
|
||||
ndimage
|
||||
nethogs
|
||||
newaxis
|
||||
nhwc
|
||||
NOBLOCK
|
||||
nobuffer
|
||||
nokey
|
||||
NONBLOCK
|
||||
noninteractive
|
||||
noprint
|
||||
Norfair
|
||||
nptype
|
||||
NTSC
|
||||
numpy
|
||||
nvenc
|
||||
nvhost
|
||||
nvml
|
||||
nvmpi
|
||||
ollama
|
||||
onnx
|
||||
onnxruntime
|
||||
onvif
|
||||
ONVIF
|
||||
openai
|
||||
opencv
|
||||
openvino
|
||||
overfitting
|
||||
OWASP
|
||||
paddleocr
|
||||
paho
|
||||
passwordless
|
||||
popleft
|
||||
posthog
|
||||
postprocess
|
||||
poweroff
|
||||
preexec
|
||||
probesize
|
||||
protobuf
|
||||
pstate
|
||||
psutil
|
||||
pubkey
|
||||
putenv
|
||||
pycache
|
||||
pydantic
|
||||
pyobj
|
||||
pysqlite
|
||||
pytz
|
||||
pywebpush
|
||||
qnap
|
||||
quantisation
|
||||
Radeon
|
||||
radeonsi
|
||||
radeontop
|
||||
rawvideo
|
||||
rcond
|
||||
RDONLY
|
||||
rebranded
|
||||
referer
|
||||
reindex
|
||||
Reolink
|
||||
restream
|
||||
restreamed
|
||||
restreaming
|
||||
rkmpp
|
||||
rknn
|
||||
rkrga
|
||||
rockchip
|
||||
rocm
|
||||
rocminfo
|
||||
rootfs
|
||||
rtmp
|
||||
RTSP
|
||||
ruamel
|
||||
scroller
|
||||
setproctitle
|
||||
setpts
|
||||
shms
|
||||
SIGUSR
|
||||
skylake
|
||||
sleeptime
|
||||
SNDMORE
|
||||
socs
|
||||
sqliteq
|
||||
sqlitevecq
|
||||
ssdlite
|
||||
statm
|
||||
stimeout
|
||||
stylelint
|
||||
subclassing
|
||||
substream
|
||||
superfast
|
||||
surveillance
|
||||
svscan
|
||||
Swipeable
|
||||
sysconf
|
||||
tailscale
|
||||
Tapo
|
||||
tensorrt
|
||||
tflite
|
||||
thresholded
|
||||
timelapse
|
||||
titlecase
|
||||
tmpfs
|
||||
tobytes
|
||||
toggleable
|
||||
traefik
|
||||
tzlocal
|
||||
Ubiquiti
|
||||
udev
|
||||
udevadm
|
||||
ultrafast
|
||||
unichip
|
||||
unidecode
|
||||
Unifi
|
||||
unixepoch
|
||||
unraid
|
||||
unreviewed
|
||||
userdata
|
||||
usermod
|
||||
uvicorn
|
||||
vaapi
|
||||
vainfo
|
||||
variations
|
||||
vbios
|
||||
vconcat
|
||||
vitb
|
||||
vstream
|
||||
vsync
|
||||
wallclock
|
||||
webp
|
||||
webpush
|
||||
webrtc
|
||||
websockets
|
||||
webui
|
||||
werkzeug
|
||||
workdir
|
||||
WRONLY
|
||||
wsgirefserver
|
||||
wsgiutils
|
||||
wsize
|
||||
xaddr
|
||||
xmaxs
|
||||
xmins
|
||||
XPUB
|
||||
XSUB
|
||||
ymaxs
|
||||
ymins
|
||||
yolo
|
||||
yolonas
|
||||
yolox
|
||||
zeep
|
||||
zerolatency
|
||||
@@ -0,0 +1,6 @@
|
||||
---
|
||||
globs: ["**/*.ts", "**/*.tsx"]
|
||||
alwaysApply: false
|
||||
---
|
||||
|
||||
Never write strings in the frontend directly, always write to and reference the relevant translations file.
|
||||
125
sam2-cpu/frigate-dev/.devcontainer/devcontainer.json
Normal file
125
sam2-cpu/frigate-dev/.devcontainer/devcontainer.json
Normal file
@@ -0,0 +1,125 @@
|
||||
{
|
||||
"name": "Frigate Devcontainer",
|
||||
"dockerComposeFile": "../docker-compose.yml",
|
||||
"service": "devcontainer",
|
||||
"workspaceFolder": "/workspace/frigate",
|
||||
"initializeCommand": ".devcontainer/initialize.sh",
|
||||
"postCreateCommand": ".devcontainer/post_create.sh",
|
||||
"overrideCommand": false,
|
||||
"remoteUser": "vscode",
|
||||
"features": {
|
||||
"ghcr.io/devcontainers/features/common-utils:2": {}
|
||||
// Uncomment the following lines to use ONNX Runtime with CUDA support
|
||||
// "ghcr.io/devcontainers/features/nvidia-cuda:1": {
|
||||
// "installCudnn": true,
|
||||
// "installNvtx": true,
|
||||
// "installToolkit": true,
|
||||
// "cudaVersion": "12.5",
|
||||
// "cudnnVersion": "9.4.0.58"
|
||||
// },
|
||||
// "./features/onnxruntime-gpu": {}
|
||||
},
|
||||
"forwardPorts": [
|
||||
8971,
|
||||
5000,
|
||||
5001,
|
||||
5173,
|
||||
8554,
|
||||
8555
|
||||
],
|
||||
"portsAttributes": {
|
||||
"8971": {
|
||||
"label": "External NGINX",
|
||||
"onAutoForward": "silent"
|
||||
},
|
||||
"5000": {
|
||||
"label": "Internal NGINX",
|
||||
"onAutoForward": "silent"
|
||||
},
|
||||
"5001": {
|
||||
"label": "Frigate API",
|
||||
"onAutoForward": "silent"
|
||||
},
|
||||
"5173": {
|
||||
"label": "Vite Server",
|
||||
"onAutoForward": "silent"
|
||||
},
|
||||
"8554": {
|
||||
"label": "gortc RTSP",
|
||||
"onAutoForward": "silent"
|
||||
},
|
||||
"8555": {
|
||||
"label": "go2rtc WebRTC",
|
||||
"onAutoForward": "silent"
|
||||
}
|
||||
},
|
||||
"customizations": {
|
||||
"vscode": {
|
||||
"extensions": [
|
||||
"ms-python.python",
|
||||
"ms-python.vscode-pylance",
|
||||
"visualstudioexptteam.vscodeintellicode",
|
||||
"mhutchie.git-graph",
|
||||
"ms-azuretools.vscode-docker",
|
||||
"streetsidesoftware.code-spell-checker",
|
||||
"esbenp.prettier-vscode",
|
||||
"dbaeumer.vscode-eslint",
|
||||
"mikestead.dotenv",
|
||||
"csstools.postcss",
|
||||
"blanu.vscode-styled-jsx",
|
||||
"bradlc.vscode-tailwindcss",
|
||||
"charliermarsh.ruff",
|
||||
"eamodio.gitlens"
|
||||
],
|
||||
"settings": {
|
||||
"remote.autoForwardPorts": false,
|
||||
"python.formatting.provider": "none",
|
||||
"python.languageServer": "Pylance",
|
||||
"editor.formatOnPaste": false,
|
||||
"editor.formatOnSave": true,
|
||||
"editor.formatOnType": true,
|
||||
"python.testing.pytestEnabled": false,
|
||||
"python.testing.unittestEnabled": true,
|
||||
"python.testing.unittestArgs": [
|
||||
"-v",
|
||||
"-s",
|
||||
"./frigate/test"
|
||||
],
|
||||
"files.trimTrailingWhitespace": true,
|
||||
"eslint.workingDirectories": [
|
||||
"./web"
|
||||
],
|
||||
"isort.args": [
|
||||
"--settings-path=./pyproject.toml"
|
||||
],
|
||||
"[python]": {
|
||||
"editor.defaultFormatter": "charliermarsh.ruff",
|
||||
"editor.formatOnSave": true,
|
||||
"editor.codeActionsOnSave": {
|
||||
"source.fixAll": true,
|
||||
"source.organizeImports": true
|
||||
}
|
||||
},
|
||||
"[json][jsonc]": {
|
||||
"editor.defaultFormatter": "esbenp.prettier-vscode"
|
||||
},
|
||||
"[jsx][js][tsx][ts]": {
|
||||
"editor.codeActionsOnSave": [
|
||||
"source.addMissingImports",
|
||||
"source.fixAll"
|
||||
],
|
||||
"editor.tabSize": 2
|
||||
},
|
||||
"cSpell.ignoreWords": [
|
||||
"rtmp"
|
||||
],
|
||||
"cSpell.words": [
|
||||
"preact",
|
||||
"astype",
|
||||
"hwaccel",
|
||||
"mqtt"
|
||||
]
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
@@ -0,0 +1,22 @@
|
||||
{
|
||||
"id": "onnxruntime-gpu",
|
||||
"version": "0.0.1",
|
||||
"name": "ONNX Runtime GPU (Nvidia)",
|
||||
"description": "Installs ONNX Runtime for Nvidia GPUs.",
|
||||
"documentationURL": "",
|
||||
"options": {
|
||||
"version": {
|
||||
"type": "string",
|
||||
"proposals": [
|
||||
"latest",
|
||||
"1.20.1",
|
||||
"1.20.0"
|
||||
],
|
||||
"default": "latest",
|
||||
"description": "Version of ONNX Runtime to install"
|
||||
}
|
||||
},
|
||||
"installsAfter": [
|
||||
"ghcr.io/devcontainers/features/nvidia-cuda"
|
||||
]
|
||||
}
|
||||
@@ -0,0 +1,15 @@
|
||||
#!/usr/bin/env bash
|
||||
|
||||
set -e
|
||||
|
||||
VERSION=${VERSION}
|
||||
|
||||
python3 -m pip config set global.break-system-packages true
|
||||
# if VERSION == "latest" or VERSION is empty, install the latest version
|
||||
if [ "$VERSION" == "latest" ] || [ -z "$VERSION" ]; then
|
||||
python3 -m pip install onnxruntime-gpu
|
||||
else
|
||||
python3 -m pip install onnxruntime-gpu==$VERSION
|
||||
fi
|
||||
|
||||
echo "Done!"
|
||||
13
sam2-cpu/frigate-dev/.devcontainer/initialize.sh
Executable file
13
sam2-cpu/frigate-dev/.devcontainer/initialize.sh
Executable file
@@ -0,0 +1,13 @@
|
||||
#!/bin/bash
|
||||
|
||||
set -euo pipefail
|
||||
|
||||
# These folders needs to be created and owned by the host user
|
||||
mkdir -p debug web/dist
|
||||
|
||||
if [[ -f "config/config.yml" ]]; then
|
||||
echo "config/config.yml already exists, skipping initialization" >&2
|
||||
else
|
||||
echo "initializing config/config.yml" >&2
|
||||
cp -fv config/config.yml.example config/config.yml
|
||||
fi
|
||||
30
sam2-cpu/frigate-dev/.devcontainer/post_create.sh
Executable file
30
sam2-cpu/frigate-dev/.devcontainer/post_create.sh
Executable file
@@ -0,0 +1,30 @@
|
||||
#!/bin/bash
|
||||
|
||||
set -euxo pipefail
|
||||
|
||||
# Cleanup the old github host key
|
||||
if [[ -f ~/.ssh/known_hosts ]]; then
|
||||
# Add new github host key
|
||||
sed -i -e '/AAAAB3NzaC1yc2EAAAABIwAAAQEAq2A7hRGmdnm9tUDbO9IDSwBK6TbQa+PXYPCPy6rbTrTtw7PHkccKrpp0yVhp5HdEIcKr6pLlVDBfOLX9QUsyCOV0wzfjIJNlGEYsdlLJizHhbn2mUjvSAHQqZETYP81eFzLQNnPHt4EVVUh7VfDESU84KezmD5QlWpXLmvU31\/yMf+Se8xhHTvKSCZIFImWwoG6mbUoWf9nzpIoaSjB+weqqUUmpaaasXVal72J+UX2B+2RPW3RcT0eOzQgqlJL3RKrTJvdsjE3JEAvGq3lGHSZXy28G3skua2SmVi\/w4yCE6gbODqnTWlg7+wC604ydGXA8VJiS5ap43JXiUFFAaQ==/d' ~/.ssh/known_hosts
|
||||
curl -L https://api.github.com/meta | jq -r '.ssh_keys | .[]' | \
|
||||
sed -e 's/^/github.com /' >> ~/.ssh/known_hosts
|
||||
fi
|
||||
|
||||
# Frigate normal container runs as root, so it have permission to create
|
||||
# the folders. But the devcontainer runs as the host user, so we need to
|
||||
# create the folders and give the host user permission to write to them.
|
||||
sudo mkdir -p /media/frigate
|
||||
sudo chown -R "$(id -u):$(id -g)" /media/frigate
|
||||
|
||||
# When started as a service, LIBAVFORMAT_VERSION_MAJOR is defined in the
|
||||
# s6 service file. For dev, where frigate is started from an interactive
|
||||
# shell, we define it in .bashrc instead.
|
||||
echo 'export LIBAVFORMAT_VERSION_MAJOR=$("$(python3 /usr/local/ffmpeg/get_ffmpeg_path.py)" -version | grep -Po "libavformat\W+\K\d+")' >> "$HOME/.bashrc"
|
||||
|
||||
make version
|
||||
|
||||
cd web
|
||||
|
||||
npm install
|
||||
|
||||
npm run build
|
||||
16
sam2-cpu/frigate-dev/.dockerignore
Normal file
16
sam2-cpu/frigate-dev/.dockerignore
Normal file
@@ -0,0 +1,16 @@
|
||||
README.md
|
||||
docs/
|
||||
.gitignore
|
||||
debug
|
||||
config/
|
||||
*.pyc
|
||||
.git
|
||||
core
|
||||
*.mp4
|
||||
*.jpg
|
||||
*.db
|
||||
*.ts
|
||||
|
||||
web/dist/
|
||||
web/node_modules/
|
||||
web/.npm
|
||||
129
sam2-cpu/frigate-dev/.github/DISCUSSION_TEMPLATE/beta-support.yml
vendored
Normal file
129
sam2-cpu/frigate-dev/.github/DISCUSSION_TEMPLATE/beta-support.yml
vendored
Normal file
@@ -0,0 +1,129 @@
|
||||
title: "[Beta Support]: "
|
||||
labels: ["support", "triage", "beta"]
|
||||
body:
|
||||
- type: markdown
|
||||
attributes:
|
||||
value: |
|
||||
Thank you for testing Frigate beta versions! Use this form for support with beta releases.
|
||||
|
||||
**Note:** Beta versions may have incomplete features, known issues, or unexpected behavior. Please check the [release notes](https://github.com/blakeblackshear/frigate/releases) and [recent discussions][discussions] for known beta issues before submitting.
|
||||
|
||||
Before submitting, read the [beta documentation][docs].
|
||||
|
||||
[docs]: https://deploy-preview-19787--frigate-docs.netlify.app/
|
||||
- type: textarea
|
||||
id: description
|
||||
attributes:
|
||||
label: Describe the problem you are having
|
||||
description: Please be as detailed as possible. Include what you expected to happen vs what actually happened.
|
||||
validations:
|
||||
required: true
|
||||
- type: input
|
||||
id: version
|
||||
attributes:
|
||||
label: Beta Version
|
||||
description: Visible on the System page in the Web UI. Please include the full version including the build identifier (eg. 0.17.0-beta1)
|
||||
placeholder: "0.17.0-beta1"
|
||||
validations:
|
||||
required: true
|
||||
- type: dropdown
|
||||
id: issue-category
|
||||
attributes:
|
||||
label: Issue Category
|
||||
description: What area is your issue related to? This helps us understand the context.
|
||||
options:
|
||||
- Object Detection / Detectors
|
||||
- Hardware Acceleration
|
||||
- Configuration / Setup
|
||||
- WebUI / Frontend
|
||||
- Recordings / Storage
|
||||
- Notifications / Events
|
||||
- Integration (Home Assistant, etc)
|
||||
- Performance / Stability
|
||||
- Installation / Updates
|
||||
- Other
|
||||
validations:
|
||||
required: true
|
||||
- type: textarea
|
||||
id: config
|
||||
attributes:
|
||||
label: Frigate config file
|
||||
description: This will be automatically formatted into code, so no need for backticks. Remove any sensitive information like passwords or URLs.
|
||||
render: yaml
|
||||
validations:
|
||||
required: true
|
||||
- type: textarea
|
||||
id: frigatelogs
|
||||
attributes:
|
||||
label: Relevant Frigate log output
|
||||
description: Please copy and paste any relevant Frigate log output. Include logs before and after your exact error when possible. This will be automatically formatted into code, so no need for backticks.
|
||||
render: shell
|
||||
validations:
|
||||
required: true
|
||||
- type: textarea
|
||||
id: go2rtclogs
|
||||
attributes:
|
||||
label: Relevant go2rtc log output (if applicable)
|
||||
description: If your issue involves cameras, streams, or playback, please include go2rtc logs. Logs can be viewed via the Frigate UI, Docker, or the go2rtc dashboard. This will be automatically formatted into code, so no need for backticks.
|
||||
render: shell
|
||||
- type: dropdown
|
||||
id: install-method
|
||||
attributes:
|
||||
label: Install method
|
||||
options:
|
||||
- Home Assistant Add-on
|
||||
- Docker Compose
|
||||
- Docker CLI
|
||||
- Proxmox via Docker
|
||||
- Proxmox via TTeck Script
|
||||
- Windows WSL2
|
||||
validations:
|
||||
required: true
|
||||
- type: textarea
|
||||
id: docker
|
||||
attributes:
|
||||
label: docker-compose file or Docker CLI command
|
||||
description: This will be automatically formatted into code, so no need for backticks. Include relevant environment variables and device mappings.
|
||||
render: yaml
|
||||
validations:
|
||||
required: true
|
||||
- type: dropdown
|
||||
id: os
|
||||
attributes:
|
||||
label: Operating system
|
||||
options:
|
||||
- Home Assistant OS
|
||||
- Debian
|
||||
- Ubuntu
|
||||
- Other Linux
|
||||
- Proxmox
|
||||
- UNRAID
|
||||
- Windows
|
||||
- Other
|
||||
validations:
|
||||
required: true
|
||||
- type: input
|
||||
id: hardware
|
||||
attributes:
|
||||
label: CPU / GPU / Hardware
|
||||
description: Provide details about your hardware (e.g., Intel i5-9400, NVIDIA RTX 3060, Raspberry Pi 4, etc)
|
||||
placeholder: "Intel i7-10700, NVIDIA GTX 1660"
|
||||
- type: textarea
|
||||
id: screenshots
|
||||
attributes:
|
||||
label: Screenshots
|
||||
description: Screenshots of the issue, System metrics pages, or any relevant UI. Drag and drop or paste images directly.
|
||||
- type: textarea
|
||||
id: steps-to-reproduce
|
||||
attributes:
|
||||
label: Steps to reproduce
|
||||
description: If applicable, provide detailed steps to reproduce the issue
|
||||
placeholder: |
|
||||
1. Go to '...'
|
||||
2. Click on '...'
|
||||
3. See error
|
||||
- type: textarea
|
||||
id: other
|
||||
attributes:
|
||||
label: Any other information that may be helpful
|
||||
description: Additional context, related issues, when the problem started appearing, etc.
|
||||
138
sam2-cpu/frigate-dev/.github/DISCUSSION_TEMPLATE/camera-support.yml
vendored
Normal file
138
sam2-cpu/frigate-dev/.github/DISCUSSION_TEMPLATE/camera-support.yml
vendored
Normal file
@@ -0,0 +1,138 @@
|
||||
title: "[Camera Support]: "
|
||||
labels: ["support", "triage"]
|
||||
body:
|
||||
- type: markdown
|
||||
attributes:
|
||||
value: |
|
||||
Use this form for support or questions for an issue with your cameras.
|
||||
|
||||
Before submitting your support request, please [search the discussions][discussions], read the [official Frigate documentation][docs], and read the [Frigate FAQ][faq] pinned at the Discussion page to see if your question has already been answered by the community.
|
||||
|
||||
[discussions]: https://www.github.com/blakeblackshear/frigate/discussions
|
||||
[docs]: https://docs.frigate.video
|
||||
[faq]: https://github.com/blakeblackshear/frigate/discussions/12724
|
||||
- type: textarea
|
||||
id: description
|
||||
attributes:
|
||||
label: Describe the problem you are having
|
||||
validations:
|
||||
required: true
|
||||
- type: input
|
||||
id: version
|
||||
attributes:
|
||||
label: Version
|
||||
description: Visible on the System page in the Web UI. Please include the full version including the build identifier (eg. 0.14.0-ea36ds1)
|
||||
validations:
|
||||
required: true
|
||||
- type: input
|
||||
attributes:
|
||||
label: What browser(s) are you using?
|
||||
placeholder: Google Chrome 88.0.4324.150
|
||||
description: >
|
||||
Provide the full name and don't forget to add the version!
|
||||
- type: textarea
|
||||
id: config
|
||||
attributes:
|
||||
label: Frigate config file
|
||||
description: This will be automatically formatted into code, so no need for backticks.
|
||||
render: yaml
|
||||
validations:
|
||||
required: true
|
||||
- type: textarea
|
||||
id: frigatelogs
|
||||
attributes:
|
||||
label: Relevant Frigate log output
|
||||
description: Please copy and paste any relevant Frigate log output. Include logs before and after your exact error when possible. This will be automatically formatted into code, so no need for backticks.
|
||||
render: shell
|
||||
validations:
|
||||
required: true
|
||||
- type: textarea
|
||||
id: go2rtclogs
|
||||
attributes:
|
||||
label: Relevant go2rtc log output
|
||||
description: Please copy and paste any relevant go2rtc log output. Include logs before and after your exact error when possible. Logs can be viewed via the Frigate UI, Docker, or the go2rtc dashboard. This will be automatically formatted into code, so no need for backticks.
|
||||
render: shell
|
||||
validations:
|
||||
required: true
|
||||
- type: textarea
|
||||
id: ffprobe
|
||||
attributes:
|
||||
label: FFprobe output from your camera
|
||||
description: Run `ffprobe <camera_url>` from within the Frigate container if possible, and provide output below
|
||||
render: shell
|
||||
validations:
|
||||
required: true
|
||||
- type: textarea
|
||||
id: stats
|
||||
attributes:
|
||||
label: Frigate stats
|
||||
description: Output from frigate's /api/stats endpoint
|
||||
render: json
|
||||
- type: dropdown
|
||||
id: os
|
||||
attributes:
|
||||
label: Operating system
|
||||
options:
|
||||
- Home Assistant OS
|
||||
- Debian
|
||||
- Other Linux
|
||||
- Proxmox
|
||||
- UNRAID
|
||||
- Windows
|
||||
- Other
|
||||
validations:
|
||||
required: true
|
||||
- type: dropdown
|
||||
id: install-method
|
||||
attributes:
|
||||
label: Install method
|
||||
options:
|
||||
- Home Assistant Add-on
|
||||
- Docker Compose
|
||||
- Docker CLI
|
||||
- Proxmox via Docker
|
||||
- Proxmox via TTeck Script
|
||||
- Windows WSL2
|
||||
validations:
|
||||
required: true
|
||||
- type: dropdown
|
||||
id: object-detector
|
||||
attributes:
|
||||
label: Object Detector
|
||||
options:
|
||||
- Coral
|
||||
- OpenVino
|
||||
- TensorRT
|
||||
- RKNN
|
||||
- Other
|
||||
- CPU (no coral)
|
||||
validations:
|
||||
required: true
|
||||
- type: dropdown
|
||||
id: network
|
||||
attributes:
|
||||
label: Network connection
|
||||
options:
|
||||
- Wired
|
||||
- Wireless
|
||||
- Mixed
|
||||
validations:
|
||||
required: true
|
||||
- type: input
|
||||
id: camera
|
||||
attributes:
|
||||
label: Camera make and model
|
||||
description: Dahua, hikvision, amcrest, reolink, etc and model number
|
||||
validations:
|
||||
required: true
|
||||
- type: textarea
|
||||
id: screenshots
|
||||
attributes:
|
||||
label: Screenshots of the Frigate UI's System metrics pages
|
||||
description: Drag and drop for images is possible in this field. Please post screenshots of at least General and Cameras tabs.
|
||||
validations:
|
||||
required: true
|
||||
- type: textarea
|
||||
id: other
|
||||
attributes:
|
||||
label: Any other information that may be helpful
|
||||
113
sam2-cpu/frigate-dev/.github/DISCUSSION_TEMPLATE/config-support.yml
vendored
Normal file
113
sam2-cpu/frigate-dev/.github/DISCUSSION_TEMPLATE/config-support.yml
vendored
Normal file
@@ -0,0 +1,113 @@
|
||||
title: "[Config Support]: "
|
||||
labels: ["support", "triage"]
|
||||
body:
|
||||
- type: markdown
|
||||
attributes:
|
||||
value: |
|
||||
Use this form for support or questions related to Frigate's configuration and config file.
|
||||
|
||||
Before submitting your support request, please [search the discussions][discussions], read the [official Frigate documentation][docs], and read the [Frigate FAQ][faq] pinned at the Discussion page to see if your question has already been answered by the community.
|
||||
|
||||
[discussions]: https://www.github.com/blakeblackshear/frigate/discussions
|
||||
[docs]: https://docs.frigate.video
|
||||
[faq]: https://github.com/blakeblackshear/frigate/discussions/12724
|
||||
- type: textarea
|
||||
id: description
|
||||
attributes:
|
||||
label: Describe the problem you are having
|
||||
validations:
|
||||
required: true
|
||||
- type: input
|
||||
id: version
|
||||
attributes:
|
||||
label: Version
|
||||
description: Visible on the System page in the Web UI. Please include the full version including the build identifier (eg. 0.14.0-ea36ds1)
|
||||
validations:
|
||||
required: true
|
||||
- type: textarea
|
||||
id: config
|
||||
attributes:
|
||||
label: Frigate config file
|
||||
description: This will be automatically formatted into code, so no need for backticks.
|
||||
render: yaml
|
||||
validations:
|
||||
required: true
|
||||
- type: textarea
|
||||
id: frigatelogs
|
||||
attributes:
|
||||
label: Relevant Frigate log output
|
||||
description: Please copy and paste any relevant Frigate log output. Include logs before and after your exact error when possible. This will be automatically formatted into code, so no need for backticks.
|
||||
render: shell
|
||||
validations:
|
||||
required: true
|
||||
- type: textarea
|
||||
id: go2rtclogs
|
||||
attributes:
|
||||
label: Relevant go2rtc log output
|
||||
description: Please copy and paste any relevant go2rtc log output. Include logs before and after your exact error when possible. This will be automatically formatted into code, so no need for backticks.
|
||||
render: shell
|
||||
validations:
|
||||
required: true
|
||||
- type: textarea
|
||||
id: stats
|
||||
attributes:
|
||||
label: Frigate stats
|
||||
description: Output from frigate's /api/stats endpoint
|
||||
render: json
|
||||
- type: dropdown
|
||||
id: os
|
||||
attributes:
|
||||
label: Operating system
|
||||
options:
|
||||
- Home Assistant OS
|
||||
- Debian
|
||||
- Other Linux
|
||||
- Proxmox
|
||||
- UNRAID
|
||||
- Windows
|
||||
- Other
|
||||
validations:
|
||||
required: true
|
||||
- type: dropdown
|
||||
id: install-method
|
||||
attributes:
|
||||
label: Install method
|
||||
options:
|
||||
- Home Assistant Add-on
|
||||
- Docker Compose
|
||||
- Docker CLI
|
||||
- Proxmox via Docker
|
||||
- Proxmox via TTeck Script
|
||||
- Windows WSL2
|
||||
validations:
|
||||
required: true
|
||||
- type: textarea
|
||||
id: docker
|
||||
attributes:
|
||||
label: docker-compose file or Docker CLI command
|
||||
description: This will be automatically formatted into code, so no need for backticks.
|
||||
render: yaml
|
||||
validations:
|
||||
required: true
|
||||
- type: dropdown
|
||||
id: object-detector
|
||||
attributes:
|
||||
label: Object Detector
|
||||
options:
|
||||
- Coral
|
||||
- OpenVino
|
||||
- TensorRT
|
||||
- RKNN
|
||||
- Other
|
||||
- CPU (no coral)
|
||||
validations:
|
||||
required: true
|
||||
- type: textarea
|
||||
id: screenshots
|
||||
attributes:
|
||||
label: Screenshots of the Frigate UI's System metrics pages
|
||||
description: Drag and drop or simple cut/paste is possible in this field
|
||||
- type: textarea
|
||||
id: other
|
||||
attributes:
|
||||
label: Any other information that may be helpful
|
||||
87
sam2-cpu/frigate-dev/.github/DISCUSSION_TEMPLATE/detector-support.yml
vendored
Normal file
87
sam2-cpu/frigate-dev/.github/DISCUSSION_TEMPLATE/detector-support.yml
vendored
Normal file
@@ -0,0 +1,87 @@
|
||||
title: "[Detector Support]: "
|
||||
labels: ["support", "triage"]
|
||||
body:
|
||||
- type: markdown
|
||||
attributes:
|
||||
value: |
|
||||
Use this form for support or questions related to Frigate's object detectors.
|
||||
|
||||
Before submitting your support request, please [search the discussions][discussions], read the [official Frigate documentation][docs], and read the [Frigate FAQ][faq] pinned at the Discussion page to see if your question has already been answered by the community.
|
||||
|
||||
[discussions]: https://www.github.com/blakeblackshear/frigate/discussions
|
||||
[docs]: https://docs.frigate.video
|
||||
[faq]: https://github.com/blakeblackshear/frigate/discussions/12724
|
||||
- type: textarea
|
||||
id: description
|
||||
attributes:
|
||||
label: Describe the problem you are having
|
||||
validations:
|
||||
required: true
|
||||
- type: input
|
||||
id: version
|
||||
attributes:
|
||||
label: Version
|
||||
description: Visible on the System page in the Web UI. Please include the full version including the build identifier (eg. 0.14.0-ea36ds1)
|
||||
validations:
|
||||
required: true
|
||||
- type: textarea
|
||||
id: config
|
||||
attributes:
|
||||
label: Frigate config file
|
||||
description: This will be automatically formatted into code, so no need for backticks.
|
||||
render: yaml
|
||||
validations:
|
||||
required: true
|
||||
- type: textarea
|
||||
id: docker
|
||||
attributes:
|
||||
label: docker-compose file or Docker CLI command
|
||||
description: This will be automatically formatted into code, so no need for backticks.
|
||||
render: yaml
|
||||
validations:
|
||||
required: true
|
||||
- type: textarea
|
||||
id: frigatelogs
|
||||
attributes:
|
||||
label: Relevant Frigate log output
|
||||
description: Please copy and paste any relevant Frigate log output. Include logs before and after your exact error when possible. This will be automatically formatted into code, so no need for backticks.
|
||||
render: shell
|
||||
validations:
|
||||
required: true
|
||||
- type: dropdown
|
||||
id: install-method
|
||||
attributes:
|
||||
label: Install method
|
||||
options:
|
||||
- Home Assistant Add-on
|
||||
- Docker Compose
|
||||
- Docker CLI
|
||||
- Proxmox via Docker
|
||||
- Proxmox via TTeck Script
|
||||
- Windows WSL2
|
||||
validations:
|
||||
required: true
|
||||
- type: dropdown
|
||||
id: object-detector
|
||||
attributes:
|
||||
label: Object Detector
|
||||
options:
|
||||
- Coral
|
||||
- OpenVino
|
||||
- TensorRT
|
||||
- RKNN
|
||||
- Other
|
||||
- CPU (no coral)
|
||||
validations:
|
||||
required: true
|
||||
- type: textarea
|
||||
id: screenshots
|
||||
attributes:
|
||||
label: Screenshots of the Frigate UI's System metrics pages
|
||||
description: Drag and drop for images is possible in this field. Please post screenshots of at least General and Cameras tabs.
|
||||
validations:
|
||||
required: true
|
||||
- type: textarea
|
||||
id: other
|
||||
attributes:
|
||||
label: Any other information that may be helpful
|
||||
130
sam2-cpu/frigate-dev/.github/DISCUSSION_TEMPLATE/general-support.yml
vendored
Normal file
130
sam2-cpu/frigate-dev/.github/DISCUSSION_TEMPLATE/general-support.yml
vendored
Normal file
@@ -0,0 +1,130 @@
|
||||
title: "[Support]: "
|
||||
labels: ["support", "triage"]
|
||||
body:
|
||||
- type: markdown
|
||||
attributes:
|
||||
value: |
|
||||
Use this form for support for issues that don't fall into any specific category.
|
||||
|
||||
Before submitting your support request, please [search the discussions][discussions], read the [official Frigate documentation][docs], and read the [Frigate FAQ][faq] pinned at the Discussion page to see if your question has already been answered by the community.
|
||||
|
||||
[discussions]: https://www.github.com/blakeblackshear/frigate/discussions
|
||||
[docs]: https://docs.frigate.video
|
||||
[faq]: https://github.com/blakeblackshear/frigate/discussions/12724
|
||||
- type: textarea
|
||||
id: description
|
||||
attributes:
|
||||
label: Describe the problem you are having
|
||||
validations:
|
||||
required: true
|
||||
- type: input
|
||||
id: version
|
||||
attributes:
|
||||
label: Version
|
||||
description: Visible on the System page in the Web UI. Please include the full version including the build identifier (eg. 0.14.0-ea36ds1)
|
||||
validations:
|
||||
required: true
|
||||
- type: input
|
||||
attributes:
|
||||
label: What browser(s) are you using?
|
||||
placeholder: Google Chrome 88.0.4324.150
|
||||
description: >
|
||||
Provide the full name and don't forget to add the version!
|
||||
- type: textarea
|
||||
id: config
|
||||
attributes:
|
||||
label: Frigate config file
|
||||
description: This will be automatically formatted into code, so no need for backticks.
|
||||
render: yaml
|
||||
validations:
|
||||
required: true
|
||||
- type: textarea
|
||||
id: frigatelogs
|
||||
attributes:
|
||||
label: Relevant Frigate log output
|
||||
description: Please copy and paste any relevant Frigate log output. Include logs before and after your exact error when possible. This will be automatically formatted into code, so no need for backticks.
|
||||
render: shell
|
||||
validations:
|
||||
required: true
|
||||
- type: textarea
|
||||
id: go2rtclogs
|
||||
attributes:
|
||||
label: Relevant go2rtc log output
|
||||
description: Please copy and paste any relevant go2rtc log output. Include logs before and after your exact error when possible. Logs can be viewed via the Frigate UI, Docker, or the go2rtc dashboard. This will be automatically formatted into code, so no need for backticks.
|
||||
render: shell
|
||||
validations:
|
||||
required: true
|
||||
- type: textarea
|
||||
id: ffprobe
|
||||
attributes:
|
||||
label: FFprobe output from your camera
|
||||
description: Run `ffprobe <camera_url>` from within the Frigate container if possible, and provide output below
|
||||
render: shell
|
||||
validations:
|
||||
required: true
|
||||
- type: textarea
|
||||
id: stats
|
||||
attributes:
|
||||
label: Frigate stats
|
||||
description: Output from frigate's /api/stats endpoint
|
||||
render: json
|
||||
- type: dropdown
|
||||
id: install-method
|
||||
attributes:
|
||||
label: Install method
|
||||
options:
|
||||
- Home Assistant Add-on
|
||||
- Docker Compose
|
||||
- Docker CLI
|
||||
- Proxmox via Docker
|
||||
- Proxmox via TTeck Script
|
||||
- Windows WSL2
|
||||
validations:
|
||||
required: true
|
||||
- type: textarea
|
||||
id: docker
|
||||
attributes:
|
||||
label: docker-compose file or Docker CLI command
|
||||
description: This will be automatically formatted into code, so no need for backticks.
|
||||
render: yaml
|
||||
validations:
|
||||
required: true
|
||||
- type: dropdown
|
||||
id: object-detector
|
||||
attributes:
|
||||
label: Object Detector
|
||||
options:
|
||||
- Coral
|
||||
- OpenVino
|
||||
- TensorRT
|
||||
- RKNN
|
||||
- Other
|
||||
- CPU (no coral)
|
||||
validations:
|
||||
required: true
|
||||
- type: dropdown
|
||||
id: network
|
||||
attributes:
|
||||
label: Network connection
|
||||
options:
|
||||
- Wired
|
||||
- Wireless
|
||||
- Mixed
|
||||
validations:
|
||||
required: true
|
||||
- type: input
|
||||
id: camera
|
||||
attributes:
|
||||
label: Camera make and model
|
||||
description: Dahua, hikvision, amcrest, reolink, etc and model number
|
||||
validations:
|
||||
required: true
|
||||
- type: textarea
|
||||
id: screenshots
|
||||
attributes:
|
||||
label: Screenshots of the Frigate UI's System metrics pages
|
||||
description: Drag and drop for images is possible in this field
|
||||
- type: textarea
|
||||
id: other
|
||||
attributes:
|
||||
label: Any other information that may be helpful
|
||||
120
sam2-cpu/frigate-dev/.github/DISCUSSION_TEMPLATE/hardware-acceleration-support.yml
vendored
Normal file
120
sam2-cpu/frigate-dev/.github/DISCUSSION_TEMPLATE/hardware-acceleration-support.yml
vendored
Normal file
@@ -0,0 +1,120 @@
|
||||
title: "[HW Accel Support]: "
|
||||
labels: ["support", "triage"]
|
||||
body:
|
||||
- type: markdown
|
||||
attributes:
|
||||
value: |
|
||||
Use this form to submit a support request for hardware acceleration issues.
|
||||
|
||||
Before submitting your support request, please [search the discussions][discussions], read the [official Frigate documentation][docs], and read the [Frigate FAQ][faq] pinned at the Discussion page to see if your question has already been answered by the community.
|
||||
|
||||
[discussions]: https://www.github.com/blakeblackshear/frigate/discussions
|
||||
[docs]: https://docs.frigate.video
|
||||
[faq]: https://github.com/blakeblackshear/frigate/discussions/12724
|
||||
- type: textarea
|
||||
id: description
|
||||
attributes:
|
||||
label: Describe the problem you are having
|
||||
validations:
|
||||
required: true
|
||||
- type: input
|
||||
id: version
|
||||
attributes:
|
||||
label: Version
|
||||
description: Visible on the System page in the Web UI. Please include the full version including the build identifier (eg. 0.14.0-ea36ds1)
|
||||
validations:
|
||||
required: true
|
||||
- type: textarea
|
||||
id: config
|
||||
attributes:
|
||||
label: Frigate config file
|
||||
description: This will be automatically formatted into code, so no need for backticks.
|
||||
render: yaml
|
||||
validations:
|
||||
required: true
|
||||
- type: textarea
|
||||
id: docker
|
||||
attributes:
|
||||
label: docker-compose file or Docker CLI command
|
||||
description: This will be automatically formatted into code, so no need for backticks.
|
||||
render: yaml
|
||||
validations:
|
||||
required: true
|
||||
- type: textarea
|
||||
id: frigatelogs
|
||||
attributes:
|
||||
label: Relevant Frigate log output
|
||||
description: Please copy and paste any relevant Frigate log output. Include logs before and after your exact error when possible. This will be automatically formatted into code, so no need for backticks.
|
||||
render: shell
|
||||
validations:
|
||||
required: true
|
||||
- type: textarea
|
||||
id: go2rtclogs
|
||||
attributes:
|
||||
label: Relevant go2rtc log output
|
||||
description: Please copy and paste any relevant go2rtc log output. Include logs before and after your exact error when possible. Logs can be viewed via the Frigate UI, Docker, or the go2rtc dashboard. This will be automatically formatted into code, so no need for backticks.
|
||||
render: shell
|
||||
validations:
|
||||
required: true
|
||||
- type: textarea
|
||||
id: ffprobe
|
||||
attributes:
|
||||
label: FFprobe output from your camera
|
||||
description: Run `ffprobe <camera_url>` from within the Frigate container if possible, and provide output below
|
||||
render: shell
|
||||
validations:
|
||||
required: true
|
||||
- type: dropdown
|
||||
id: install-method
|
||||
attributes:
|
||||
label: Install method
|
||||
options:
|
||||
- Home Assistant Add-on
|
||||
- Docker Compose
|
||||
- Docker CLI
|
||||
- Proxmox via Docker
|
||||
- Proxmox via TTeck Script
|
||||
- Windows WSL2
|
||||
validations:
|
||||
required: true
|
||||
- type: dropdown
|
||||
id: object-detector
|
||||
attributes:
|
||||
label: Object Detector
|
||||
options:
|
||||
- Coral
|
||||
- OpenVino
|
||||
- TensorRT
|
||||
- RKNN
|
||||
- Other
|
||||
- CPU (no coral)
|
||||
validations:
|
||||
required: true
|
||||
- type: dropdown
|
||||
id: network
|
||||
attributes:
|
||||
label: Network connection
|
||||
options:
|
||||
- Wired
|
||||
- Wireless
|
||||
- Mixed
|
||||
validations:
|
||||
required: true
|
||||
- type: input
|
||||
id: camera
|
||||
attributes:
|
||||
label: Camera make and model
|
||||
description: Dahua, hikvision, amcrest, reolink, etc and model number
|
||||
validations:
|
||||
required: true
|
||||
- type: textarea
|
||||
id: screenshots
|
||||
attributes:
|
||||
label: Screenshots of the Frigate UI's System metrics pages
|
||||
description: Drag and drop for images is possible in this field. Please post screenshots of at least General and Cameras tabs.
|
||||
validations:
|
||||
required: true
|
||||
- type: textarea
|
||||
id: other
|
||||
attributes:
|
||||
label: Any other information that may be helpful
|
||||
21
sam2-cpu/frigate-dev/.github/DISCUSSION_TEMPLATE/question.yml
vendored
Normal file
21
sam2-cpu/frigate-dev/.github/DISCUSSION_TEMPLATE/question.yml
vendored
Normal file
@@ -0,0 +1,21 @@
|
||||
title: "[Question]: "
|
||||
labels: ["question"]
|
||||
body:
|
||||
- type: markdown
|
||||
attributes:
|
||||
value: |
|
||||
Use this form for questions you have about Frigate.
|
||||
|
||||
Before submitting your question, please [search the discussions][discussions], read the [official Frigate documentation][docs], and read the [Frigate FAQ][faq] pinned at the Discussion page to see if your question has already been answered by the community.
|
||||
|
||||
**If you are looking for support, start a new discussion and use a support category.**
|
||||
|
||||
[discussions]: https://www.github.com/blakeblackshear/frigate/discussions
|
||||
[docs]: https://docs.frigate.video
|
||||
[faq]: https://github.com/blakeblackshear/frigate/discussions/12724
|
||||
- type: textarea
|
||||
id: description
|
||||
attributes:
|
||||
label: "What is your question?"
|
||||
validations:
|
||||
required: true
|
||||
151
sam2-cpu/frigate-dev/.github/DISCUSSION_TEMPLATE/report-a-bug.yml
vendored
Normal file
151
sam2-cpu/frigate-dev/.github/DISCUSSION_TEMPLATE/report-a-bug.yml
vendored
Normal file
@@ -0,0 +1,151 @@
|
||||
title: "[Bug]: "
|
||||
labels: ["bug", "triage"]
|
||||
body:
|
||||
- type: markdown
|
||||
attributes:
|
||||
value: |
|
||||
Use this form to submit a reproducible bug in Frigate or Frigate's UI.
|
||||
|
||||
**⚠️ If you are running a beta version (0.17.0-beta or similar), please use the [Beta Support template](https://github.com/blakeblackshear/frigate/discussions/new?category=beta-support) instead.**
|
||||
|
||||
Before submitting your bug report, please ask the AI with the "Ask AI" button on the [official documentation site][ai] about your issue, [search the discussions][discussions], look at recent open and closed [pull requests][prs], read the [official Frigate documentation][docs], and read the [Frigate FAQ][faq] pinned at the Discussion page to see if your bug has already been fixed by the developers or reported by the community.
|
||||
|
||||
**If you are unsure if your issue is actually a bug or not, please submit a support request first.**
|
||||
|
||||
[discussions]: https://www.github.com/blakeblackshear/frigate/discussions
|
||||
[prs]: https://www.github.com/blakeblackshear/frigate/pulls
|
||||
[docs]: https://docs.frigate.video
|
||||
[faq]: https://github.com/blakeblackshear/frigate/discussions/12724
|
||||
[ai]: https://docs.frigate.video
|
||||
- type: checkboxes
|
||||
attributes:
|
||||
label: Checklist
|
||||
description: Please verify that you've followed these steps
|
||||
options:
|
||||
- label: I have updated to the latest available Frigate version.
|
||||
required: true
|
||||
- label: I have cleared the cache of my browser.
|
||||
required: true
|
||||
- label: I have tried a different browser to see if it is related to my browser.
|
||||
required: true
|
||||
- label: I have tried reproducing the issue in [incognito mode](https://www.computerworld.com/article/1719851/how-to-go-incognito-in-chrome-firefox-safari-and-edge.html) to rule out problems with any third party extensions or plugins I have installed.
|
||||
- label: I have asked the AI at https://docs.frigate.video about my issue.
|
||||
required: true
|
||||
- type: textarea
|
||||
id: description
|
||||
attributes:
|
||||
label: Describe the problem you are having
|
||||
description: Provide a clear and concise description of what the bug is.
|
||||
validations:
|
||||
required: true
|
||||
- type: textarea
|
||||
id: steps
|
||||
attributes:
|
||||
label: Steps to reproduce
|
||||
description: |
|
||||
Please tell us exactly how to reproduce your issue.
|
||||
Provide clear and concise step by step instructions and add code snippets if needed.
|
||||
value: |
|
||||
1.
|
||||
2.
|
||||
3.
|
||||
...
|
||||
validations:
|
||||
required: true
|
||||
- type: input
|
||||
id: version
|
||||
attributes:
|
||||
label: Version
|
||||
description: Visible on the System page in the Web UI. Please include the full version including the build identifier (eg. 0.14.0-ea36ds1)
|
||||
validations:
|
||||
required: true
|
||||
- type: input
|
||||
attributes:
|
||||
label: In which browser(s) are you experiencing the issue with?
|
||||
placeholder: Google Chrome 88.0.4324.150
|
||||
description: >
|
||||
Provide the full name and don't forget to add the version!
|
||||
- type: textarea
|
||||
id: config
|
||||
attributes:
|
||||
label: Frigate config file
|
||||
description: This will be automatically formatted into code, so no need for backticks.
|
||||
render: yaml
|
||||
validations:
|
||||
required: true
|
||||
- type: textarea
|
||||
id: docker
|
||||
attributes:
|
||||
label: docker-compose file or Docker CLI command
|
||||
description: This will be automatically formatted into code, so no need for backticks.
|
||||
render: yaml
|
||||
validations:
|
||||
required: true
|
||||
- type: textarea
|
||||
id: frigatelogs
|
||||
attributes:
|
||||
label: Relevant Frigate log output
|
||||
description: Please copy and paste any relevant Frigate log output. Include logs before and after your exact error when possible. This will be automatically formatted into code, so no need for backticks.
|
||||
render: shell
|
||||
validations:
|
||||
required: true
|
||||
- type: textarea
|
||||
id: go2rtclogs
|
||||
attributes:
|
||||
label: Relevant go2rtc log output
|
||||
description: Please copy and paste any relevant go2rtc log output. Include logs before and after your exact error when possible. Logs can be viewed via the Frigate UI, Docker, or the go2rtc dashboard. This will be automatically formatted into code, so no need for backticks.
|
||||
render: shell
|
||||
validations:
|
||||
required: true
|
||||
- type: dropdown
|
||||
id: os
|
||||
attributes:
|
||||
label: Operating system
|
||||
options:
|
||||
- Home Assistant OS
|
||||
- Debian
|
||||
- Other Linux
|
||||
- Proxmox
|
||||
- UNRAID
|
||||
- Windows
|
||||
- Other
|
||||
validations:
|
||||
required: true
|
||||
- type: dropdown
|
||||
id: install-method
|
||||
attributes:
|
||||
label: Install method
|
||||
options:
|
||||
- Home Assistant Add-on
|
||||
- Docker Compose
|
||||
- Docker CLI
|
||||
validations:
|
||||
required: true
|
||||
- type: dropdown
|
||||
id: network
|
||||
attributes:
|
||||
label: Network connection
|
||||
options:
|
||||
- Wired
|
||||
- Wireless
|
||||
- Mixed
|
||||
validations:
|
||||
required: true
|
||||
- type: input
|
||||
id: camera
|
||||
attributes:
|
||||
label: Camera make and model
|
||||
description: Dahua, hikvision, amcrest, reolink, etc and model number
|
||||
validations:
|
||||
required: true
|
||||
- type: textarea
|
||||
id: screenshots
|
||||
attributes:
|
||||
label: Screenshots of the Frigate UI's System metrics pages
|
||||
description: Drag and drop for images is possible in this field. Please post screenshots of all tabs.
|
||||
validations:
|
||||
required: true
|
||||
- type: textarea
|
||||
id: other
|
||||
attributes:
|
||||
label: Any other information that may be helpful
|
||||
4
sam2-cpu/frigate-dev/.github/FUNDING.yml
vendored
Normal file
4
sam2-cpu/frigate-dev/.github/FUNDING.yml
vendored
Normal file
@@ -0,0 +1,4 @@
|
||||
github:
|
||||
- blakeblackshear
|
||||
- NickM-27
|
||||
- hawkeye217
|
||||
8
sam2-cpu/frigate-dev/.github/ISSUE_TEMPLATE/config.yml
vendored
Normal file
8
sam2-cpu/frigate-dev/.github/ISSUE_TEMPLATE/config.yml
vendored
Normal file
@@ -0,0 +1,8 @@
|
||||
blank_issues_enabled: false
|
||||
contact_links:
|
||||
- name: Frigate Support
|
||||
url: https://github.com/blakeblackshear/frigate/discussions/new/choose
|
||||
about: Get support for setting up or troubleshooting Frigate.
|
||||
- name: Frigate Bug Report
|
||||
url: https://github.com/blakeblackshear/frigate/discussions/new/choose
|
||||
about: Report a specific UI or backend bug.
|
||||
20
sam2-cpu/frigate-dev/.github/ISSUE_TEMPLATE/feature_request.md
vendored
Normal file
20
sam2-cpu/frigate-dev/.github/ISSUE_TEMPLATE/feature_request.md
vendored
Normal file
@@ -0,0 +1,20 @@
|
||||
---
|
||||
name: Feature request
|
||||
about: Suggest an idea for this project
|
||||
title: ''
|
||||
labels: enhancement
|
||||
assignees: ''
|
||||
|
||||
---
|
||||
|
||||
**Describe what you are trying to accomplish and why in non technical terms**
|
||||
I want to be able to ... so that I can ...
|
||||
|
||||
**Describe the solution you'd like**
|
||||
A clear and concise description of what you want to happen.
|
||||
|
||||
**Describe alternatives you've considered**
|
||||
A clear and concise description of any alternative solutions or features you've considered.
|
||||
|
||||
**Additional context**
|
||||
Add any other context or screenshots about the feature request here.
|
||||
50
sam2-cpu/frigate-dev/.github/actions/setup/action.yml
vendored
Normal file
50
sam2-cpu/frigate-dev/.github/actions/setup/action.yml
vendored
Normal file
@@ -0,0 +1,50 @@
|
||||
name: 'Setup'
|
||||
description: 'Set up QEMU and Buildx'
|
||||
inputs:
|
||||
GITHUB_TOKEN:
|
||||
required: true
|
||||
outputs:
|
||||
image-name:
|
||||
value: ghcr.io/${{ steps.lowercaseRepo.outputs.lowercase }}:${{ steps.create-short-sha.outputs.SHORT_SHA }}
|
||||
cache-name:
|
||||
value: ghcr.io/${{ steps.lowercaseRepo.outputs.lowercase }}:cache
|
||||
runs:
|
||||
using: "composite"
|
||||
steps:
|
||||
# Stop docker so we can mount more space at /var/lib/docker
|
||||
- name: Stop docker
|
||||
run: sudo systemctl stop docker
|
||||
shell: bash
|
||||
# This creates a virtual volume at /var/lib/docker to maximize the size
|
||||
# As of 2/14/2024, this results in 97G for docker images
|
||||
- name: Maximize build space
|
||||
uses: easimon/maximize-build-space@master
|
||||
with:
|
||||
remove-dotnet: 'true'
|
||||
remove-android: 'true'
|
||||
remove-haskell: 'true'
|
||||
remove-codeql: 'true'
|
||||
build-mount-path: '/var/lib/docker'
|
||||
- name: Start docker
|
||||
run: sudo systemctl start docker
|
||||
shell: bash
|
||||
- id: lowercaseRepo
|
||||
uses: ASzc/change-string-case-action@v5
|
||||
with:
|
||||
string: ${{ github.repository }}
|
||||
- name: Set up QEMU
|
||||
uses: docker/setup-qemu-action@v3
|
||||
- name: Set up Docker Buildx
|
||||
uses: docker/setup-buildx-action@v3
|
||||
- name: Log in to the Container registry
|
||||
uses: docker/login-action@465a07811f14bebb1938fbed4728c6a1ff8901fc
|
||||
with:
|
||||
registry: ghcr.io
|
||||
username: ${{ github.actor }}
|
||||
password: ${{ inputs.GITHUB_TOKEN }}
|
||||
- name: Create version file
|
||||
run: make version
|
||||
shell: bash
|
||||
- id: create-short-sha
|
||||
run: echo "SHORT_SHA=${GITHUB_SHA::7}" >> $GITHUB_OUTPUT
|
||||
shell: bash
|
||||
2
sam2-cpu/frigate-dev/.github/copilot-instructions.md
vendored
Normal file
2
sam2-cpu/frigate-dev/.github/copilot-instructions.md
vendored
Normal file
@@ -0,0 +1,2 @@
|
||||
Never write strings in the frontend directly, always write to and reference the relevant translations file.
|
||||
Always conform new and refactored code to the existing coding style in the project.
|
||||
40
sam2-cpu/frigate-dev/.github/dependabot.yml
vendored
Normal file
40
sam2-cpu/frigate-dev/.github/dependabot.yml
vendored
Normal file
@@ -0,0 +1,40 @@
|
||||
version: 2
|
||||
updates:
|
||||
- package-ecosystem: "github-actions"
|
||||
directory: "/"
|
||||
schedule:
|
||||
interval: daily
|
||||
open-pull-requests-limit: 10
|
||||
target-branch: dev
|
||||
- package-ecosystem: "docker"
|
||||
directory: "/docker"
|
||||
schedule:
|
||||
interval: daily
|
||||
open-pull-requests-limit: 10
|
||||
target-branch: dev
|
||||
- package-ecosystem: "pip"
|
||||
directory: "/docker/main"
|
||||
schedule:
|
||||
interval: daily
|
||||
open-pull-requests-limit: 10
|
||||
target-branch: dev
|
||||
- package-ecosystem: "pip"
|
||||
directory: "/docker/tensorrt"
|
||||
schedule:
|
||||
interval: daily
|
||||
open-pull-requests-limit: 10
|
||||
target-branch: dev
|
||||
- package-ecosystem: "npm"
|
||||
directory: "/web"
|
||||
schedule:
|
||||
interval: daily
|
||||
open-pull-requests-limit: 10
|
||||
target-branch: dev
|
||||
- package-ecosystem: "npm"
|
||||
directory: "/docs"
|
||||
schedule:
|
||||
interval: daily
|
||||
allow:
|
||||
- dependency-name: "@docusaurus/*"
|
||||
open-pull-requests-limit: 10
|
||||
target-branch: dev
|
||||
39
sam2-cpu/frigate-dev/.github/pull_request_template.md
vendored
Normal file
39
sam2-cpu/frigate-dev/.github/pull_request_template.md
vendored
Normal file
@@ -0,0 +1,39 @@
|
||||
## Proposed change
|
||||
<!--
|
||||
Thank you!
|
||||
|
||||
If you're introducing a new feature or significantly refactoring existing functionality,
|
||||
we encourage you to start a discussion first. This helps ensure your idea aligns with
|
||||
Frigate's development goals.
|
||||
|
||||
Describe what this pull request does and how it will benefit users of Frigate.
|
||||
Please describe in detail any considerations, breaking changes, etc. that are
|
||||
made in this pull request.
|
||||
-->
|
||||
|
||||
|
||||
## Type of change
|
||||
|
||||
- [ ] Dependency upgrade
|
||||
- [ ] Bugfix (non-breaking change which fixes an issue)
|
||||
- [ ] New feature
|
||||
- [ ] Breaking change (fix/feature causing existing functionality to break)
|
||||
- [ ] Code quality improvements to existing code
|
||||
- [ ] Documentation Update
|
||||
|
||||
## Additional information
|
||||
|
||||
- This PR fixes or closes issue: fixes #
|
||||
- This PR is related to issue:
|
||||
|
||||
## Checklist
|
||||
|
||||
<!--
|
||||
Put an `x` in the boxes that apply.
|
||||
-->
|
||||
|
||||
- [ ] The code change is tested and works locally.
|
||||
- [ ] Local tests pass. **Your PR cannot be merged unless tests pass**
|
||||
- [ ] There is no commented out code in this PR.
|
||||
- [ ] UI changes including text have used i18n keys and have been added to the `en` locale.
|
||||
- [ ] The code has been formatted using Ruff (`ruff format frigate`)
|
||||
226
sam2-cpu/frigate-dev/.github/workflows/ci.yml
vendored
Normal file
226
sam2-cpu/frigate-dev/.github/workflows/ci.yml
vendored
Normal file
@@ -0,0 +1,226 @@
|
||||
name: CI
|
||||
|
||||
on:
|
||||
workflow_dispatch:
|
||||
push:
|
||||
branches:
|
||||
- dev
|
||||
- master
|
||||
paths-ignore:
|
||||
- "docs/**"
|
||||
|
||||
# only run the latest commit to avoid cache overwrites
|
||||
concurrency:
|
||||
group: ${{ github.ref }}
|
||||
cancel-in-progress: true
|
||||
|
||||
env:
|
||||
PYTHON_VERSION: 3.11
|
||||
|
||||
jobs:
|
||||
amd64_build:
|
||||
runs-on: ubuntu-22.04
|
||||
name: AMD64 Build
|
||||
steps:
|
||||
- name: Check out code
|
||||
uses: actions/checkout@v6
|
||||
with:
|
||||
persist-credentials: false
|
||||
- name: Set up QEMU and Buildx
|
||||
id: setup
|
||||
uses: ./.github/actions/setup
|
||||
with:
|
||||
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
|
||||
- name: Build and push amd64 standard build
|
||||
uses: docker/build-push-action@v5
|
||||
with:
|
||||
context: .
|
||||
file: docker/main/Dockerfile
|
||||
push: true
|
||||
platforms: linux/amd64
|
||||
target: frigate
|
||||
tags: ${{ steps.setup.outputs.image-name }}-amd64
|
||||
cache-from: type=registry,ref=${{ steps.setup.outputs.cache-name }}-amd64
|
||||
cache-to: type=registry,ref=${{ steps.setup.outputs.cache-name }}-amd64,mode=max
|
||||
arm64_build:
|
||||
runs-on: ubuntu-22.04-arm
|
||||
name: ARM Build
|
||||
steps:
|
||||
- name: Check out code
|
||||
uses: actions/checkout@v6
|
||||
with:
|
||||
persist-credentials: false
|
||||
- name: Set up QEMU and Buildx
|
||||
id: setup
|
||||
uses: ./.github/actions/setup
|
||||
with:
|
||||
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
|
||||
- name: Build and push arm64 standard build
|
||||
uses: docker/build-push-action@v5
|
||||
with:
|
||||
context: .
|
||||
file: docker/main/Dockerfile
|
||||
push: true
|
||||
platforms: linux/arm64
|
||||
target: frigate
|
||||
tags: |
|
||||
${{ steps.setup.outputs.image-name }}-standard-arm64
|
||||
cache-from: type=registry,ref=${{ steps.setup.outputs.cache-name }}-arm64
|
||||
- name: Build and push RPi build
|
||||
uses: docker/bake-action@v6
|
||||
with:
|
||||
source: .
|
||||
push: true
|
||||
targets: rpi
|
||||
files: docker/rpi/rpi.hcl
|
||||
set: |
|
||||
rpi.tags=${{ steps.setup.outputs.image-name }}-rpi
|
||||
*.cache-from=type=registry,ref=${{ steps.setup.outputs.cache-name }}-arm64
|
||||
*.cache-to=type=registry,ref=${{ steps.setup.outputs.cache-name }}-arm64,mode=max
|
||||
jetson_jp6_build:
|
||||
runs-on: ubuntu-22.04-arm
|
||||
name: Jetson Jetpack 6
|
||||
steps:
|
||||
- name: Check out code
|
||||
uses: actions/checkout@v6
|
||||
with:
|
||||
persist-credentials: false
|
||||
- name: Set up QEMU and Buildx
|
||||
id: setup
|
||||
uses: ./.github/actions/setup
|
||||
with:
|
||||
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
|
||||
- name: Build and push TensorRT (Jetson, Jetpack 6)
|
||||
env:
|
||||
ARCH: arm64
|
||||
BASE_IMAGE: nvcr.io/nvidia/tensorrt:23.12-py3-igpu
|
||||
SLIM_BASE: nvcr.io/nvidia/tensorrt:23.12-py3-igpu
|
||||
TRT_BASE: nvcr.io/nvidia/tensorrt:23.12-py3-igpu
|
||||
uses: docker/bake-action@v6
|
||||
with:
|
||||
source: .
|
||||
push: true
|
||||
targets: tensorrt
|
||||
files: docker/tensorrt/trt.hcl
|
||||
set: |
|
||||
tensorrt.tags=${{ steps.setup.outputs.image-name }}-tensorrt-jp6
|
||||
*.cache-from=type=registry,ref=${{ steps.setup.outputs.cache-name }}-jp6
|
||||
*.cache-to=type=registry,ref=${{ steps.setup.outputs.cache-name }}-jp6,mode=max
|
||||
amd64_extra_builds:
|
||||
runs-on: ubuntu-22.04
|
||||
name: AMD64 Extra Build
|
||||
needs:
|
||||
- amd64_build
|
||||
steps:
|
||||
- name: Check out code
|
||||
uses: actions/checkout@v6
|
||||
with:
|
||||
persist-credentials: false
|
||||
- name: Set up QEMU and Buildx
|
||||
id: setup
|
||||
uses: ./.github/actions/setup
|
||||
with:
|
||||
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
|
||||
- name: Build and push TensorRT (x86 GPU)
|
||||
env:
|
||||
COMPUTE_LEVEL: "50 60 70 80 90"
|
||||
uses: docker/bake-action@v6
|
||||
with:
|
||||
source: .
|
||||
push: true
|
||||
targets: tensorrt
|
||||
files: docker/tensorrt/trt.hcl
|
||||
set: |
|
||||
tensorrt.tags=${{ steps.setup.outputs.image-name }}-tensorrt
|
||||
*.cache-from=type=registry,ref=${{ steps.setup.outputs.cache-name }}-tensorrt
|
||||
*.cache-to=type=registry,ref=${{ steps.setup.outputs.cache-name }}-tensorrt,mode=max
|
||||
- name: AMD/ROCm general build
|
||||
env:
|
||||
HSA_OVERRIDE: 0
|
||||
uses: docker/bake-action@v6
|
||||
with:
|
||||
source: .
|
||||
push: true
|
||||
targets: rocm
|
||||
files: docker/rocm/rocm.hcl
|
||||
set: |
|
||||
rocm.tags=${{ steps.setup.outputs.image-name }}-rocm
|
||||
*.cache-to=type=registry,ref=${{ steps.setup.outputs.cache-name }}-rocm,mode=max
|
||||
*.cache-from=type=registry,ref=${{ steps.setup.outputs.cache-name }}-rocm
|
||||
arm64_extra_builds:
|
||||
runs-on: ubuntu-22.04-arm
|
||||
name: ARM Extra Build
|
||||
needs:
|
||||
- arm64_build
|
||||
steps:
|
||||
- name: Check out code
|
||||
uses: actions/checkout@v6
|
||||
with:
|
||||
persist-credentials: false
|
||||
- name: Set up QEMU and Buildx
|
||||
id: setup
|
||||
uses: ./.github/actions/setup
|
||||
with:
|
||||
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
|
||||
- name: Build and push Rockchip build
|
||||
uses: docker/bake-action@v6
|
||||
with:
|
||||
source: .
|
||||
push: true
|
||||
targets: rk
|
||||
files: docker/rockchip/rk.hcl
|
||||
set: |
|
||||
rk.tags=${{ steps.setup.outputs.image-name }}-rk
|
||||
*.cache-from=type=gha
|
||||
synaptics_build:
|
||||
runs-on: ubuntu-22.04-arm
|
||||
name: Synaptics Build
|
||||
needs:
|
||||
- arm64_build
|
||||
steps:
|
||||
- name: Check out code
|
||||
uses: actions/checkout@v6
|
||||
with:
|
||||
persist-credentials: false
|
||||
- name: Set up QEMU and Buildx
|
||||
id: setup
|
||||
uses: ./.github/actions/setup
|
||||
with:
|
||||
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
|
||||
- name: Build and push Synaptics build
|
||||
uses: docker/bake-action@v6
|
||||
with:
|
||||
source: .
|
||||
push: true
|
||||
targets: synaptics
|
||||
files: docker/synaptics/synaptics.hcl
|
||||
set: |
|
||||
synaptics.tags=${{ steps.setup.outputs.image-name }}-synaptics
|
||||
*.cache-from=type=gha
|
||||
# The majority of users running arm64 are rpi users, so the rpi
|
||||
# build should be the primary arm64 image
|
||||
assemble_default_build:
|
||||
runs-on: ubuntu-22.04
|
||||
name: Assemble and push default build
|
||||
needs:
|
||||
- amd64_build
|
||||
- arm64_build
|
||||
steps:
|
||||
- id: lowercaseRepo
|
||||
uses: ASzc/change-string-case-action@v6
|
||||
with:
|
||||
string: ${{ github.repository }}
|
||||
- name: Log in to the Container registry
|
||||
uses: docker/login-action@184bdaa0721073962dff0199f1fb9940f07167d1
|
||||
with:
|
||||
registry: ghcr.io
|
||||
username: ${{ github.actor }}
|
||||
password: ${{ secrets.GITHUB_TOKEN }}
|
||||
- name: Create short sha
|
||||
run: echo "SHORT_SHA=${GITHUB_SHA::7}" >> $GITHUB_ENV
|
||||
- uses: int128/docker-manifest-create-action@v2
|
||||
with:
|
||||
tags: ghcr.io/${{ steps.lowercaseRepo.outputs.lowercase }}:${{ env.SHORT_SHA }}
|
||||
sources: |
|
||||
ghcr.io/${{ steps.lowercaseRepo.outputs.lowercase }}:${{ env.SHORT_SHA }}-amd64
|
||||
ghcr.io/${{ steps.lowercaseRepo.outputs.lowercase }}:${{ env.SHORT_SHA }}-rpi
|
||||
95
sam2-cpu/frigate-dev/.github/workflows/pull_request.yml
vendored
Normal file
95
sam2-cpu/frigate-dev/.github/workflows/pull_request.yml
vendored
Normal file
@@ -0,0 +1,95 @@
|
||||
name: On pull request
|
||||
|
||||
on:
|
||||
pull_request:
|
||||
paths-ignore:
|
||||
- "docs/**"
|
||||
- ".github/*.yml"
|
||||
- ".github/DISCUSSION_TEMPLATE/**"
|
||||
- ".github/ISSUE_TEMPLATE/**"
|
||||
|
||||
env:
|
||||
DEFAULT_PYTHON: 3.11
|
||||
|
||||
jobs:
|
||||
web_lint:
|
||||
name: Web - Lint
|
||||
runs-on: ubuntu-latest
|
||||
steps:
|
||||
- uses: actions/checkout@v6
|
||||
with:
|
||||
persist-credentials: false
|
||||
- uses: actions/setup-node@v6
|
||||
with:
|
||||
node-version: 20.x
|
||||
- run: npm install
|
||||
working-directory: ./web
|
||||
- name: Lint
|
||||
run: npm run lint
|
||||
working-directory: ./web
|
||||
|
||||
web_test:
|
||||
name: Web - Test
|
||||
runs-on: ubuntu-latest
|
||||
steps:
|
||||
- uses: actions/checkout@v6
|
||||
with:
|
||||
persist-credentials: false
|
||||
- uses: actions/setup-node@v6
|
||||
with:
|
||||
node-version: 20.x
|
||||
- run: npm install
|
||||
working-directory: ./web
|
||||
- name: Build web
|
||||
run: npm run build
|
||||
working-directory: ./web
|
||||
# - name: Test
|
||||
# run: npm run test
|
||||
# working-directory: ./web
|
||||
|
||||
python_checks:
|
||||
runs-on: ubuntu-latest
|
||||
name: Python Checks
|
||||
steps:
|
||||
- name: Check out the repository
|
||||
uses: actions/checkout@v6
|
||||
with:
|
||||
persist-credentials: false
|
||||
- name: Set up Python ${{ env.DEFAULT_PYTHON }}
|
||||
uses: actions/setup-python@v5.4.0
|
||||
with:
|
||||
python-version: ${{ env.DEFAULT_PYTHON }}
|
||||
- name: Install requirements
|
||||
run: |
|
||||
python3 -m pip install -U pip
|
||||
python3 -m pip install -r docker/main/requirements-dev.txt
|
||||
- name: Check formatting
|
||||
run: |
|
||||
ruff format --check --diff frigate migrations docker *.py
|
||||
- name: Check lint
|
||||
run: |
|
||||
ruff check frigate migrations docker *.py
|
||||
|
||||
python_tests:
|
||||
runs-on: ubuntu-latest
|
||||
name: Python Tests
|
||||
steps:
|
||||
- name: Check out code
|
||||
uses: actions/checkout@v6
|
||||
with:
|
||||
persist-credentials: false
|
||||
- uses: actions/setup-node@v6
|
||||
with:
|
||||
node-version: 20.x
|
||||
- name: Install devcontainer cli
|
||||
run: npm install --global @devcontainers/cli
|
||||
- name: Build devcontainer
|
||||
env:
|
||||
DOCKER_BUILDKIT: "1"
|
||||
run: devcontainer build --workspace-folder .
|
||||
- name: Start devcontainer
|
||||
run: devcontainer up --workspace-folder .
|
||||
- name: Run mypy in devcontainer
|
||||
run: devcontainer exec --workspace-folder . bash -lc "python3 -u -m mypy --config-file frigate/mypy.ini frigate"
|
||||
- name: Run unit tests in devcontainer
|
||||
run: devcontainer exec --workspace-folder . bash -lc "python3 -u -m unittest"
|
||||
52
sam2-cpu/frigate-dev/.github/workflows/release.yml
vendored
Normal file
52
sam2-cpu/frigate-dev/.github/workflows/release.yml
vendored
Normal file
@@ -0,0 +1,52 @@
|
||||
name: On release
|
||||
|
||||
on:
|
||||
workflow_dispatch:
|
||||
release:
|
||||
types: [published]
|
||||
|
||||
jobs:
|
||||
release:
|
||||
runs-on: ubuntu-latest
|
||||
|
||||
steps:
|
||||
- uses: actions/checkout@v6
|
||||
with:
|
||||
persist-credentials: false
|
||||
- id: lowercaseRepo
|
||||
uses: ASzc/change-string-case-action@v6
|
||||
with:
|
||||
string: ${{ github.repository }}
|
||||
- name: Log in to the Container registry
|
||||
uses: docker/login-action@184bdaa0721073962dff0199f1fb9940f07167d1
|
||||
with:
|
||||
registry: ghcr.io
|
||||
username: ${{ github.actor }}
|
||||
password: ${{ secrets.GITHUB_TOKEN }}
|
||||
- name: Create tag variables
|
||||
env:
|
||||
TAG: ${{ github.ref_name }}
|
||||
LOWERCASE_REPO: ${{ steps.lowercaseRepo.outputs.lowercase }}
|
||||
run: |
|
||||
BUILD_TYPE=$([[ "${TAG}" =~ ^v[0-9]+\.[0-9]+\.[0-9]+$ ]] && echo "stable" || echo "beta")
|
||||
echo "BUILD_TYPE=${BUILD_TYPE}" >> $GITHUB_ENV
|
||||
echo "BASE=ghcr.io/${LOWERCASE_REPO}" >> $GITHUB_ENV
|
||||
echo "BUILD_TAG=${GITHUB_SHA::7}" >> $GITHUB_ENV
|
||||
echo "CLEAN_VERSION=$(echo ${GITHUB_REF##*/} | tr '[:upper:]' '[:lower:]' | sed 's/^[v]//')" >> $GITHUB_ENV
|
||||
- name: Tag and push the main image
|
||||
run: |
|
||||
VERSION_TAG=${BASE}:${CLEAN_VERSION}
|
||||
STABLE_TAG=${BASE}:stable
|
||||
PULL_TAG=${BASE}:${BUILD_TAG}
|
||||
docker run --rm -v $HOME/.docker/config.json:/config.json quay.io/skopeo/stable:latest copy --authfile /config.json --multi-arch all docker://${PULL_TAG} docker://${VERSION_TAG}
|
||||
for variant in standard-arm64 tensorrt tensorrt-jp6 rk rocm; do
|
||||
docker run --rm -v $HOME/.docker/config.json:/config.json quay.io/skopeo/stable:latest copy --authfile /config.json --multi-arch all docker://${PULL_TAG}-${variant} docker://${VERSION_TAG}-${variant}
|
||||
done
|
||||
|
||||
# stable tag
|
||||
if [[ "${BUILD_TYPE}" == "stable" ]]; then
|
||||
docker run --rm -v $HOME/.docker/config.json:/config.json quay.io/skopeo/stable:latest copy --authfile /config.json --multi-arch all docker://${PULL_TAG} docker://${STABLE_TAG}
|
||||
for variant in standard-arm64 tensorrt tensorrt-jp6 rk rocm; do
|
||||
docker run --rm -v $HOME/.docker/config.json:/config.json quay.io/skopeo/stable:latest copy --authfile /config.json --multi-arch all docker://${PULL_TAG}-${variant} docker://${STABLE_TAG}-${variant}
|
||||
done
|
||||
fi
|
||||
42
sam2-cpu/frigate-dev/.github/workflows/stale.yml
vendored
Normal file
42
sam2-cpu/frigate-dev/.github/workflows/stale.yml
vendored
Normal file
@@ -0,0 +1,42 @@
|
||||
# Close Stale Issues
|
||||
# Warns and then closes issues and PRs that have had no activity for a specified amount of time.
|
||||
# https://github.com/actions/stale
|
||||
|
||||
name: "Stalebot"
|
||||
on:
|
||||
schedule:
|
||||
- cron: "0 0 * * *" # run stalebot once a day
|
||||
|
||||
jobs:
|
||||
stale:
|
||||
runs-on: ubuntu-latest
|
||||
steps:
|
||||
- uses: actions/stale@main
|
||||
id: stale
|
||||
with:
|
||||
stale-issue-message: "This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions."
|
||||
close-issue-message: ""
|
||||
days-before-stale: 30
|
||||
days-before-close: 3
|
||||
exempt-draft-pr: true
|
||||
exempt-issue-labels: "pinned,security"
|
||||
exempt-pr-labels: "pinned,security,dependencies"
|
||||
operations-per-run: 120
|
||||
- name: Print outputs
|
||||
env:
|
||||
STALE_OUTPUT: ${{ join(steps.stale.outputs.*, ',') }}
|
||||
run: echo "$STALE_OUTPUT"
|
||||
|
||||
# clean_ghcr:
|
||||
# name: Delete outdated dev container images
|
||||
# runs-on: ubuntu-latest
|
||||
# steps:
|
||||
# - name: Delete old images
|
||||
# uses: snok/container-retention-policy@v2
|
||||
# with:
|
||||
# image-names: dev-*
|
||||
# cut-off: 60 days ago UTC
|
||||
# keep-at-least: 5
|
||||
# account-type: personal
|
||||
# token: ${{ secrets.GITHUB_TOKEN }}
|
||||
# token-type: github-token
|
||||
22
sam2-cpu/frigate-dev/.gitignore
vendored
Normal file
22
sam2-cpu/frigate-dev/.gitignore
vendored
Normal file
@@ -0,0 +1,22 @@
|
||||
.DS_Store
|
||||
__pycache__
|
||||
.mypy_cache
|
||||
*.swp
|
||||
debug
|
||||
.vscode/*
|
||||
!.vscode/launch.json
|
||||
config/*
|
||||
!config/*.example
|
||||
models
|
||||
*.mp4
|
||||
*.db
|
||||
*.csv
|
||||
frigate/version.py
|
||||
web/build
|
||||
web/node_modules
|
||||
web/coverage
|
||||
web/.env
|
||||
core
|
||||
!/web/**/*.ts
|
||||
.idea/*
|
||||
.ipynb_checkpoints
|
||||
588
sam2-cpu/frigate-dev/.pylintrc
Normal file
588
sam2-cpu/frigate-dev/.pylintrc
Normal file
@@ -0,0 +1,588 @@
|
||||
[MASTER]
|
||||
|
||||
# A comma-separated list of package or module names from where C extensions may
|
||||
# be loaded. Extensions are loading into the active Python interpreter and may
|
||||
# run arbitrary code.
|
||||
extension-pkg-whitelist=
|
||||
|
||||
# Specify a score threshold to be exceeded before program exits with error.
|
||||
fail-under=10.0
|
||||
|
||||
# Add files or directories to the blacklist. They should be base names, not
|
||||
# paths.
|
||||
ignore=CVS
|
||||
|
||||
# Add files or directories matching the regex patterns to the blacklist. The
|
||||
# regex matches against base names, not paths.
|
||||
ignore-patterns=
|
||||
|
||||
# Python code to execute, usually for sys.path manipulation such as
|
||||
# pygtk.require().
|
||||
#init-hook=
|
||||
|
||||
# Use multiple processes to speed up Pylint. Specifying 0 will auto-detect the
|
||||
# number of processors available to use.
|
||||
jobs=1
|
||||
|
||||
# Control the amount of potential inferred values when inferring a single
|
||||
# object. This can help the performance when dealing with large functions or
|
||||
# complex, nested conditions.
|
||||
limit-inference-results=100
|
||||
|
||||
# List of plugins (as comma separated values of python module names) to load,
|
||||
# usually to register additional checkers.
|
||||
load-plugins=
|
||||
|
||||
# Pickle collected data for later comparisons.
|
||||
persistent=yes
|
||||
|
||||
# When enabled, pylint would attempt to guess common misconfiguration and emit
|
||||
# user-friendly hints instead of false-positive error messages.
|
||||
suggestion-mode=yes
|
||||
|
||||
# Allow loading of arbitrary C extensions. Extensions are imported into the
|
||||
# active Python interpreter and may run arbitrary code.
|
||||
unsafe-load-any-extension=no
|
||||
|
||||
|
||||
[MESSAGES CONTROL]
|
||||
|
||||
# Only show warnings with the listed confidence levels. Leave empty to show
|
||||
# all. Valid levels: HIGH, INFERENCE, INFERENCE_FAILURE, UNDEFINED.
|
||||
confidence=
|
||||
|
||||
# Disable the message, report, category or checker with the given id(s). You
|
||||
# can either give multiple identifiers separated by comma (,) or put this
|
||||
# option multiple times (only on the command line, not in the configuration
|
||||
# file where it should appear only once). You can also use "--disable=all" to
|
||||
# disable everything first and then reenable specific checks. For example, if
|
||||
# you want to run only the similarities checker, you can use "--disable=all
|
||||
# --enable=similarities". If you want to run only the classes checker, but have
|
||||
# no Warning level messages displayed, use "--disable=all --enable=classes
|
||||
# --disable=W".
|
||||
disable=print-statement,
|
||||
parameter-unpacking,
|
||||
unpacking-in-except,
|
||||
old-raise-syntax,
|
||||
backtick,
|
||||
long-suffix,
|
||||
old-ne-operator,
|
||||
old-octal-literal,
|
||||
import-star-module-level,
|
||||
non-ascii-bytes-literal,
|
||||
raw-checker-failed,
|
||||
bad-inline-option,
|
||||
locally-disabled,
|
||||
file-ignored,
|
||||
suppressed-message,
|
||||
useless-suppression,
|
||||
deprecated-pragma,
|
||||
use-symbolic-message-instead,
|
||||
apply-builtin,
|
||||
basestring-builtin,
|
||||
buffer-builtin,
|
||||
cmp-builtin,
|
||||
coerce-builtin,
|
||||
execfile-builtin,
|
||||
file-builtin,
|
||||
long-builtin,
|
||||
raw_input-builtin,
|
||||
reduce-builtin,
|
||||
standarderror-builtin,
|
||||
unicode-builtin,
|
||||
xrange-builtin,
|
||||
coerce-method,
|
||||
delslice-method,
|
||||
getslice-method,
|
||||
setslice-method,
|
||||
no-absolute-import,
|
||||
old-division,
|
||||
dict-iter-method,
|
||||
dict-view-method,
|
||||
next-method-called,
|
||||
metaclass-assignment,
|
||||
indexing-exception,
|
||||
raising-string,
|
||||
reload-builtin,
|
||||
oct-method,
|
||||
hex-method,
|
||||
nonzero-method,
|
||||
cmp-method,
|
||||
input-builtin,
|
||||
round-builtin,
|
||||
intern-builtin,
|
||||
unichr-builtin,
|
||||
map-builtin-not-iterating,
|
||||
zip-builtin-not-iterating,
|
||||
range-builtin-not-iterating,
|
||||
filter-builtin-not-iterating,
|
||||
using-cmp-argument,
|
||||
eq-without-hash,
|
||||
div-method,
|
||||
idiv-method,
|
||||
rdiv-method,
|
||||
exception-message-attribute,
|
||||
invalid-str-codec,
|
||||
sys-max-int,
|
||||
bad-python3-import,
|
||||
deprecated-string-function,
|
||||
deprecated-str-translate-call,
|
||||
deprecated-itertools-function,
|
||||
deprecated-types-field,
|
||||
next-method-defined,
|
||||
dict-items-not-iterating,
|
||||
dict-keys-not-iterating,
|
||||
dict-values-not-iterating,
|
||||
deprecated-operator-function,
|
||||
deprecated-urllib-function,
|
||||
xreadlines-attribute,
|
||||
deprecated-sys-function,
|
||||
exception-escape,
|
||||
comprehension-escape
|
||||
|
||||
# Enable the message, report, category or checker with the given id(s). You can
|
||||
# either give multiple identifier separated by comma (,) or put this option
|
||||
# multiple time (only on the command line, not in the configuration file where
|
||||
# it should appear only once). See also the "--disable" option for examples.
|
||||
enable=c-extension-no-member
|
||||
|
||||
|
||||
[REPORTS]
|
||||
|
||||
# Python expression which should return a score less than or equal to 10. You
|
||||
# have access to the variables 'error', 'warning', 'refactor', and 'convention'
|
||||
# which contain the number of messages in each category, as well as 'statement'
|
||||
# which is the total number of statements analyzed. This score is used by the
|
||||
# global evaluation report (RP0004).
|
||||
evaluation=10.0 - ((float(5 * error + warning + refactor + convention) / statement) * 10)
|
||||
|
||||
# Template used to display messages. This is a python new-style format string
|
||||
# used to format the message information. See doc for all details.
|
||||
#msg-template=
|
||||
|
||||
# Set the output format. Available formats are text, parseable, colorized, json
|
||||
# and msvs (visual studio). You can also give a reporter class, e.g.
|
||||
# mypackage.mymodule.MyReporterClass.
|
||||
output-format=text
|
||||
|
||||
# Tells whether to display a full report or only the messages.
|
||||
reports=no
|
||||
|
||||
# Activate the evaluation score.
|
||||
score=yes
|
||||
|
||||
|
||||
[REFACTORING]
|
||||
|
||||
# Maximum number of nested blocks for function / method body
|
||||
max-nested-blocks=5
|
||||
|
||||
# Complete name of functions that never returns. When checking for
|
||||
# inconsistent-return-statements if a never returning function is called then
|
||||
# it will be considered as an explicit return statement and no message will be
|
||||
# printed.
|
||||
never-returning-functions=sys.exit
|
||||
|
||||
|
||||
[SPELLING]
|
||||
|
||||
# Limits count of emitted suggestions for spelling mistakes.
|
||||
max-spelling-suggestions=4
|
||||
|
||||
# Spelling dictionary name. Available dictionaries: none. To make it work,
|
||||
# install the python-enchant package.
|
||||
spelling-dict=
|
||||
|
||||
# List of comma separated words that should not be checked.
|
||||
spelling-ignore-words=
|
||||
|
||||
# A path to a file that contains the private dictionary; one word per line.
|
||||
spelling-private-dict-file=
|
||||
|
||||
# Tells whether to store unknown words to the private dictionary (see the
|
||||
# --spelling-private-dict-file option) instead of raising a message.
|
||||
spelling-store-unknown-words=no
|
||||
|
||||
|
||||
[TYPECHECK]
|
||||
|
||||
# List of decorators that produce context managers, such as
|
||||
# contextlib.contextmanager. Add to this list to register other decorators that
|
||||
# produce valid context managers.
|
||||
contextmanager-decorators=contextlib.contextmanager
|
||||
|
||||
# List of members which are set dynamically and missed by pylint inference
|
||||
# system, and so shouldn't trigger E1101 when accessed. Python regular
|
||||
# expressions are accepted.
|
||||
generated-members=
|
||||
|
||||
# Tells whether missing members accessed in mixin class should be ignored. A
|
||||
# mixin class is detected if its name ends with "mixin" (case insensitive).
|
||||
ignore-mixin-members=yes
|
||||
|
||||
# Tells whether to warn about missing members when the owner of the attribute
|
||||
# is inferred to be None.
|
||||
ignore-none=yes
|
||||
|
||||
# This flag controls whether pylint should warn about no-member and similar
|
||||
# checks whenever an opaque object is returned when inferring. The inference
|
||||
# can return multiple potential results while evaluating a Python object, but
|
||||
# some branches might not be evaluated, which results in partial inference. In
|
||||
# that case, it might be useful to still emit no-member and other checks for
|
||||
# the rest of the inferred objects.
|
||||
ignore-on-opaque-inference=yes
|
||||
|
||||
# List of class names for which member attributes should not be checked (useful
|
||||
# for classes with dynamically set attributes). This supports the use of
|
||||
# qualified names.
|
||||
ignored-classes=optparse.Values,thread._local,_thread._local
|
||||
|
||||
# List of module names for which member attributes should not be checked
|
||||
# (useful for modules/projects where namespaces are manipulated during runtime
|
||||
# and thus existing member attributes cannot be deduced by static analysis). It
|
||||
# supports qualified module names, as well as Unix pattern matching.
|
||||
ignored-modules=
|
||||
|
||||
# Show a hint with possible names when a member name was not found. The aspect
|
||||
# of finding the hint is based on edit distance.
|
||||
missing-member-hint=yes
|
||||
|
||||
# The minimum edit distance a name should have in order to be considered a
|
||||
# similar match for a missing member name.
|
||||
missing-member-hint-distance=1
|
||||
|
||||
# The total number of similar names that should be taken in consideration when
|
||||
# showing a hint for a missing member.
|
||||
missing-member-max-choices=1
|
||||
|
||||
# List of decorators that change the signature of a decorated function.
|
||||
signature-mutators=
|
||||
|
||||
|
||||
[STRING]
|
||||
|
||||
# This flag controls whether inconsistent-quotes generates a warning when the
|
||||
# character used as a quote delimiter is used inconsistently within a module.
|
||||
check-quote-consistency=no
|
||||
|
||||
# This flag controls whether the implicit-str-concat should generate a warning
|
||||
# on implicit string concatenation in sequences defined over several lines.
|
||||
check-str-concat-over-line-jumps=no
|
||||
|
||||
|
||||
[FORMAT]
|
||||
|
||||
# Expected format of line ending, e.g. empty (any line ending), LF or CRLF.
|
||||
expected-line-ending-format=
|
||||
|
||||
# Regexp for a line that is allowed to be longer than the limit.
|
||||
ignore-long-lines=^\s*(# )?<?https?://\S+>?$
|
||||
|
||||
# Number of spaces of indent required inside a hanging or continued line.
|
||||
indent-after-paren=4
|
||||
|
||||
# String used as indentation unit. This is usually " " (4 spaces) or "\t" (1
|
||||
# tab).
|
||||
indent-string=' '
|
||||
|
||||
# Maximum number of characters on a single line.
|
||||
max-line-length=100
|
||||
|
||||
# Maximum number of lines in a module.
|
||||
max-module-lines=1000
|
||||
|
||||
# Allow the body of a class to be on the same line as the declaration if body
|
||||
# contains single statement.
|
||||
single-line-class-stmt=no
|
||||
|
||||
# Allow the body of an if to be on the same line as the test if there is no
|
||||
# else.
|
||||
single-line-if-stmt=no
|
||||
|
||||
|
||||
[SIMILARITIES]
|
||||
|
||||
# Ignore comments when computing similarities.
|
||||
ignore-comments=yes
|
||||
|
||||
# Ignore docstrings when computing similarities.
|
||||
ignore-docstrings=yes
|
||||
|
||||
# Ignore imports when computing similarities.
|
||||
ignore-imports=no
|
||||
|
||||
# Minimum lines number of a similarity.
|
||||
min-similarity-lines=4
|
||||
|
||||
|
||||
[MISCELLANEOUS]
|
||||
|
||||
# List of note tags to take in consideration, separated by a comma.
|
||||
notes=FIXME,
|
||||
XXX,
|
||||
TODO
|
||||
|
||||
# Regular expression of note tags to take in consideration.
|
||||
#notes-rgx=
|
||||
|
||||
|
||||
[BASIC]
|
||||
|
||||
# Naming style matching correct argument names.
|
||||
argument-naming-style=snake_case
|
||||
|
||||
# Regular expression matching correct argument names. Overrides argument-
|
||||
# naming-style.
|
||||
#argument-rgx=
|
||||
|
||||
# Naming style matching correct attribute names.
|
||||
attr-naming-style=snake_case
|
||||
|
||||
# Regular expression matching correct attribute names. Overrides attr-naming-
|
||||
# style.
|
||||
#attr-rgx=
|
||||
|
||||
# Bad variable names which should always be refused, separated by a comma.
|
||||
bad-names=foo,
|
||||
bar,
|
||||
baz,
|
||||
toto,
|
||||
tutu,
|
||||
tata
|
||||
|
||||
# Bad variable names regexes, separated by a comma. If names match any regex,
|
||||
# they will always be refused
|
||||
bad-names-rgxs=
|
||||
|
||||
# Naming style matching correct class attribute names.
|
||||
class-attribute-naming-style=any
|
||||
|
||||
# Regular expression matching correct class attribute names. Overrides class-
|
||||
# attribute-naming-style.
|
||||
#class-attribute-rgx=
|
||||
|
||||
# Naming style matching correct class names.
|
||||
class-naming-style=PascalCase
|
||||
|
||||
# Regular expression matching correct class names. Overrides class-naming-
|
||||
# style.
|
||||
#class-rgx=
|
||||
|
||||
# Naming style matching correct constant names.
|
||||
const-naming-style=UPPER_CASE
|
||||
|
||||
# Regular expression matching correct constant names. Overrides const-naming-
|
||||
# style.
|
||||
#const-rgx=
|
||||
|
||||
# Minimum line length for functions/classes that require docstrings, shorter
|
||||
# ones are exempt.
|
||||
docstring-min-length=-1
|
||||
|
||||
# Naming style matching correct function names.
|
||||
function-naming-style=snake_case
|
||||
|
||||
# Regular expression matching correct function names. Overrides function-
|
||||
# naming-style.
|
||||
#function-rgx=
|
||||
|
||||
# Good variable names which should always be accepted, separated by a comma.
|
||||
good-names=i,
|
||||
j,
|
||||
k,
|
||||
ex,
|
||||
Run,
|
||||
_
|
||||
|
||||
# Good variable names regexes, separated by a comma. If names match any regex,
|
||||
# they will always be accepted
|
||||
good-names-rgxs=
|
||||
|
||||
# Include a hint for the correct naming format with invalid-name.
|
||||
include-naming-hint=no
|
||||
|
||||
# Naming style matching correct inline iteration names.
|
||||
inlinevar-naming-style=any
|
||||
|
||||
# Regular expression matching correct inline iteration names. Overrides
|
||||
# inlinevar-naming-style.
|
||||
#inlinevar-rgx=
|
||||
|
||||
# Naming style matching correct method names.
|
||||
method-naming-style=snake_case
|
||||
|
||||
# Regular expression matching correct method names. Overrides method-naming-
|
||||
# style.
|
||||
#method-rgx=
|
||||
|
||||
# Naming style matching correct module names.
|
||||
module-naming-style=snake_case
|
||||
|
||||
# Regular expression matching correct module names. Overrides module-naming-
|
||||
# style.
|
||||
#module-rgx=
|
||||
|
||||
# Colon-delimited sets of names that determine each other's naming style when
|
||||
# the name regexes allow several styles.
|
||||
name-group=
|
||||
|
||||
# Regular expression which should only match function or class names that do
|
||||
# not require a docstring.
|
||||
no-docstring-rgx=^_
|
||||
|
||||
# List of decorators that produce properties, such as abc.abstractproperty. Add
|
||||
# to this list to register other decorators that produce valid properties.
|
||||
# These decorators are taken in consideration only for invalid-name.
|
||||
property-classes=abc.abstractproperty
|
||||
|
||||
# Naming style matching correct variable names.
|
||||
variable-naming-style=snake_case
|
||||
|
||||
# Regular expression matching correct variable names. Overrides variable-
|
||||
# naming-style.
|
||||
#variable-rgx=
|
||||
|
||||
|
||||
[VARIABLES]
|
||||
|
||||
# List of additional names supposed to be defined in builtins. Remember that
|
||||
# you should avoid defining new builtins when possible.
|
||||
additional-builtins=
|
||||
|
||||
# Tells whether unused global variables should be treated as a violation.
|
||||
allow-global-unused-variables=yes
|
||||
|
||||
# List of strings which can identify a callback function by name. A callback
|
||||
# name must start or end with one of those strings.
|
||||
callbacks=cb_,
|
||||
_cb
|
||||
|
||||
# A regular expression matching the name of dummy variables (i.e. expected to
|
||||
# not be used).
|
||||
dummy-variables-rgx=_+$|(_[a-zA-Z0-9_]*[a-zA-Z0-9]+?$)|dummy|^ignored_|^unused_
|
||||
|
||||
# Argument names that match this expression will be ignored. Default to name
|
||||
# with leading underscore.
|
||||
ignored-argument-names=_.*|^ignored_|^unused_
|
||||
|
||||
# Tells whether we should check for unused import in __init__ files.
|
||||
init-import=no
|
||||
|
||||
# List of qualified module names which can have objects that can redefine
|
||||
# builtins.
|
||||
redefining-builtins-modules=six.moves,past.builtins,future.builtins,builtins,io
|
||||
|
||||
|
||||
[LOGGING]
|
||||
|
||||
# The type of string formatting that logging methods do. `old` means using %
|
||||
# formatting, `new` is for `{}` formatting.
|
||||
logging-format-style=fstr
|
||||
|
||||
# Logging modules to check that the string format arguments are in logging
|
||||
# function parameter format.
|
||||
logging-modules=logging
|
||||
|
||||
|
||||
[DESIGN]
|
||||
|
||||
# Maximum number of arguments for function / method.
|
||||
max-args=5
|
||||
|
||||
# Maximum number of attributes for a class (see R0902).
|
||||
max-attributes=7
|
||||
|
||||
# Maximum number of boolean expressions in an if statement (see R0916).
|
||||
max-bool-expr=5
|
||||
|
||||
# Maximum number of branch for function / method body.
|
||||
max-branches=12
|
||||
|
||||
# Maximum number of locals for function / method body.
|
||||
max-locals=15
|
||||
|
||||
# Maximum number of parents for a class (see R0901).
|
||||
max-parents=7
|
||||
|
||||
# Maximum number of public methods for a class (see R0904).
|
||||
max-public-methods=20
|
||||
|
||||
# Maximum number of return / yield for function / method body.
|
||||
max-returns=6
|
||||
|
||||
# Maximum number of statements in function / method body.
|
||||
max-statements=50
|
||||
|
||||
# Minimum number of public methods for a class (see R0903).
|
||||
min-public-methods=2
|
||||
|
||||
|
||||
[CLASSES]
|
||||
|
||||
# List of method names used to declare (i.e. assign) instance attributes.
|
||||
defining-attr-methods=__init__,
|
||||
__new__,
|
||||
setUp,
|
||||
__post_init__
|
||||
|
||||
# List of member names, which should be excluded from the protected access
|
||||
# warning.
|
||||
exclude-protected=_asdict,
|
||||
_fields,
|
||||
_replace,
|
||||
_source,
|
||||
_make
|
||||
|
||||
# List of valid names for the first argument in a class method.
|
||||
valid-classmethod-first-arg=cls
|
||||
|
||||
# List of valid names for the first argument in a metaclass class method.
|
||||
valid-metaclass-classmethod-first-arg=cls
|
||||
|
||||
|
||||
[IMPORTS]
|
||||
|
||||
# List of modules that can be imported at any level, not just the top level
|
||||
# one.
|
||||
allow-any-import-level=
|
||||
|
||||
# Allow wildcard imports from modules that define __all__.
|
||||
allow-wildcard-with-all=no
|
||||
|
||||
# Analyse import fallback blocks. This can be used to support both Python 2 and
|
||||
# 3 compatible code, which means that the block might have code that exists
|
||||
# only in one or another interpreter, leading to false positives when analysed.
|
||||
analyse-fallback-blocks=no
|
||||
|
||||
# Deprecated modules which should not be used, separated by a comma.
|
||||
deprecated-modules=optparse,tkinter.tix
|
||||
|
||||
# Create a graph of external dependencies in the given file (report RP0402 must
|
||||
# not be disabled).
|
||||
ext-import-graph=
|
||||
|
||||
# Create a graph of every (i.e. internal and external) dependencies in the
|
||||
# given file (report RP0402 must not be disabled).
|
||||
import-graph=
|
||||
|
||||
# Create a graph of internal dependencies in the given file (report RP0402 must
|
||||
# not be disabled).
|
||||
int-import-graph=
|
||||
|
||||
# Force import order to recognize a module as part of the standard
|
||||
# compatibility libraries.
|
||||
known-standard-library=
|
||||
|
||||
# Force import order to recognize a module as part of a third party library.
|
||||
known-third-party=enchant
|
||||
|
||||
# Couples of modules and preferred modules, separated by a comma.
|
||||
preferred-modules=
|
||||
|
||||
|
||||
[EXCEPTIONS]
|
||||
|
||||
# Exceptions that will emit a warning when being caught. Defaults to
|
||||
# "BaseException, Exception".
|
||||
overgeneral-exceptions=BaseException,
|
||||
Exception
|
||||
11
sam2-cpu/frigate-dev/.vscode/launch.json
vendored
Normal file
11
sam2-cpu/frigate-dev/.vscode/launch.json
vendored
Normal file
@@ -0,0 +1,11 @@
|
||||
{
|
||||
"version": "0.2.0",
|
||||
"configurations": [
|
||||
{
|
||||
"name": "Python: Launch Frigate",
|
||||
"type": "debugpy",
|
||||
"request": "launch",
|
||||
"module": "frigate"
|
||||
}
|
||||
]
|
||||
}
|
||||
7
sam2-cpu/frigate-dev/CODEOWNERS
Normal file
7
sam2-cpu/frigate-dev/CODEOWNERS
Normal file
@@ -0,0 +1,7 @@
|
||||
# Community-supported boards
|
||||
/docker/tensorrt/ @madsciencetist @NateMeyer
|
||||
/docker/tensorrt/*arm64* @madsciencetist
|
||||
/docker/tensorrt/*jetson* @madsciencetist
|
||||
/docker/rockchip/ @MarcA711
|
||||
/docker/rocm/ @harakas
|
||||
/docker/hailo8l/ @spanner3003
|
||||
21
sam2-cpu/frigate-dev/LICENSE
Normal file
21
sam2-cpu/frigate-dev/LICENSE
Normal file
@@ -0,0 +1,21 @@
|
||||
The MIT License
|
||||
|
||||
Copyright (c) 2025 Frigate LLC (Frigate™)
|
||||
|
||||
Permission is hereby granted, free of charge, to any person obtaining a copy
|
||||
of this software and associated documentation files (the "Software"), to deal
|
||||
in the Software without restriction, including without limitation the rights
|
||||
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
|
||||
copies of the Software, and to permit persons to whom the Software is
|
||||
furnished to do so, subject to the following conditions:
|
||||
|
||||
The above copyright notice and this permission notice shall be included in all
|
||||
copies or substantial portions of the Software.
|
||||
|
||||
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
|
||||
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
|
||||
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
|
||||
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
|
||||
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
|
||||
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
|
||||
SOFTWARE.
|
||||
60
sam2-cpu/frigate-dev/Makefile
Normal file
60
sam2-cpu/frigate-dev/Makefile
Normal file
@@ -0,0 +1,60 @@
|
||||
default_target: local
|
||||
|
||||
COMMIT_HASH := $(shell git log -1 --pretty=format:"%h"|tail -1)
|
||||
VERSION = 0.17.0
|
||||
IMAGE_REPO ?= ghcr.io/blakeblackshear/frigate
|
||||
GITHUB_REF_NAME ?= $(shell git rev-parse --abbrev-ref HEAD)
|
||||
BOARDS= #Initialized empty
|
||||
|
||||
include docker/*/*.mk
|
||||
|
||||
build-boards: $(BOARDS:%=build-%)
|
||||
|
||||
push-boards: $(BOARDS:%=push-%)
|
||||
|
||||
version:
|
||||
echo 'VERSION = "$(VERSION)-$(COMMIT_HASH)"' > frigate/version.py
|
||||
echo 'VITE_GIT_COMMIT_HASH=$(COMMIT_HASH)' > web/.env
|
||||
|
||||
local: version
|
||||
docker buildx build --target=frigate --file docker/main/Dockerfile . \
|
||||
--tag frigate:latest \
|
||||
--load
|
||||
|
||||
debug: version
|
||||
docker buildx build --target=frigate --file docker/main/Dockerfile . \
|
||||
--build-arg DEBUG=true \
|
||||
--tag frigate:latest \
|
||||
--load
|
||||
|
||||
amd64:
|
||||
docker buildx build --target=frigate --file docker/main/Dockerfile . \
|
||||
--tag $(IMAGE_REPO):$(VERSION)-$(COMMIT_HASH) \
|
||||
--platform linux/amd64
|
||||
|
||||
arm64:
|
||||
docker buildx build --target=frigate --file docker/main/Dockerfile . \
|
||||
--tag $(IMAGE_REPO):$(VERSION)-$(COMMIT_HASH) \
|
||||
--platform linux/arm64
|
||||
|
||||
build: version amd64 arm64
|
||||
docker buildx build --target=frigate --file docker/main/Dockerfile . \
|
||||
--tag $(IMAGE_REPO):$(VERSION)-$(COMMIT_HASH) \
|
||||
--platform linux/arm64/v8,linux/amd64
|
||||
|
||||
push: push-boards
|
||||
docker buildx build --target=frigate --file docker/main/Dockerfile . \
|
||||
--tag $(IMAGE_REPO):${GITHUB_REF_NAME}-$(COMMIT_HASH) \
|
||||
--platform linux/arm64/v8,linux/amd64 \
|
||||
--push
|
||||
|
||||
run: local
|
||||
docker run --rm --publish=5000:5000 --volume=${PWD}/config:/config frigate:latest
|
||||
|
||||
run_tests: local
|
||||
docker run --rm --workdir=/opt/frigate --entrypoint= frigate:latest \
|
||||
python3 -u -m unittest
|
||||
docker run --rm --workdir=/opt/frigate --entrypoint= frigate:latest \
|
||||
python3 -u -m mypy --config-file frigate/mypy.ini frigate
|
||||
|
||||
.PHONY: run_tests
|
||||
83
sam2-cpu/frigate-dev/README.md
Normal file
83
sam2-cpu/frigate-dev/README.md
Normal file
@@ -0,0 +1,83 @@
|
||||
<p align="center">
|
||||
<img align="center" alt="logo" src="docs/static/img/branding/frigate.png">
|
||||
</p>
|
||||
|
||||
# Frigate NVR™ - Realtime Object Detection for IP Cameras
|
||||
|
||||
[](https://opensource.org/licenses/MIT)
|
||||
|
||||
<a href="https://hosted.weblate.org/engage/frigate-nvr/">
|
||||
<img src="https://hosted.weblate.org/widget/frigate-nvr/language-badge.svg" alt="Translation status" />
|
||||
</a>
|
||||
|
||||
\[English\] | [简体中文](https://github.com/blakeblackshear/frigate/blob/dev/README_CN.md)
|
||||
|
||||
A complete and local NVR designed for [Home Assistant](https://www.home-assistant.io) with AI object detection. Uses OpenCV and Tensorflow to perform realtime object detection locally for IP cameras.
|
||||
|
||||
Use of a GPU or AI accelerator is highly recommended. AI accelerators will outperform even the best CPUs with very little overhead. See Frigate's supported [object detectors](https://docs.frigate.video/configuration/object_detectors/).
|
||||
|
||||
- Tight integration with Home Assistant via a [custom component](https://github.com/blakeblackshear/frigate-hass-integration)
|
||||
- Designed to minimize resource use and maximize performance by only looking for objects when and where it is necessary
|
||||
- Leverages multiprocessing heavily with an emphasis on realtime over processing every frame
|
||||
- Uses a very low overhead motion detection to determine where to run object detection
|
||||
- Object detection with TensorFlow runs in separate processes for maximum FPS
|
||||
- Communicates over MQTT for easy integration into other systems
|
||||
- Records video with retention settings based on detected objects
|
||||
- 24/7 recording
|
||||
- Re-streaming via RTSP to reduce the number of connections to your camera
|
||||
- WebRTC & MSE support for low-latency live view
|
||||
|
||||
## Documentation
|
||||
|
||||
View the documentation at https://docs.frigate.video
|
||||
|
||||
## Donations
|
||||
|
||||
If you would like to make a donation to support development, please use [Github Sponsors](https://github.com/sponsors/blakeblackshear).
|
||||
|
||||
## License
|
||||
|
||||
This project is licensed under the **MIT License**.
|
||||
|
||||
- **Code:** The source code, configuration files, and documentation in this repository are available under the [MIT License](LICENSE). You are free to use, modify, and distribute the code as long as you include the original copyright notice.
|
||||
- **Trademarks:** The "Frigate" name, the "Frigate NVR" brand, and the Frigate logo are **trademarks of Frigate LLC** and are **not** covered by the MIT License.
|
||||
|
||||
Please see our [Trademark Policy](TRADEMARK.md) for details on acceptable use of our brand assets.
|
||||
|
||||
## Screenshots
|
||||
|
||||
### Live dashboard
|
||||
|
||||
<div>
|
||||
<img width="800" alt="Live dashboard" src="https://github.com/blakeblackshear/frigate/assets/569905/5e713cb9-9db5-41dc-947a-6937c3bc376e">
|
||||
</div>
|
||||
|
||||
### Streamlined review workflow
|
||||
|
||||
<div>
|
||||
<img width="800" alt="Streamlined review workflow" src="https://github.com/blakeblackshear/frigate/assets/569905/6fed96e8-3b18-40e5-9ddc-31e6f3c9f2ff">
|
||||
</div>
|
||||
|
||||
### Multi-camera scrubbing
|
||||
|
||||
<div>
|
||||
<img width="800" alt="Multi-camera scrubbing" src="https://github.com/blakeblackshear/frigate/assets/569905/d6788a15-0eeb-4427-a8d4-80b93cae3d74">
|
||||
</div>
|
||||
|
||||
### Built-in mask and zone editor
|
||||
|
||||
<div>
|
||||
<img width="800" alt="Multi-camera scrubbing" src="https://github.com/blakeblackshear/frigate/assets/569905/d7885fc3-bfe6-452f-b7d0-d957cb3e31f5">
|
||||
</div>
|
||||
|
||||
## Translations
|
||||
|
||||
We use [Weblate](https://hosted.weblate.org/projects/frigate-nvr/) to support language translations. Contributions are always welcome.
|
||||
|
||||
<a href="https://hosted.weblate.org/engage/frigate-nvr/">
|
||||
<img src="https://hosted.weblate.org/widget/frigate-nvr/multi-auto.svg" alt="Translation status" />
|
||||
</a>
|
||||
|
||||
---
|
||||
|
||||
**Copyright © 2025 Frigate LLC.**
|
||||
89
sam2-cpu/frigate-dev/README_CN.md
Normal file
89
sam2-cpu/frigate-dev/README_CN.md
Normal file
@@ -0,0 +1,89 @@
|
||||
<p align="center">
|
||||
<img align="center" alt="logo" src="docs/static/img/branding/frigate.png">
|
||||
</p>
|
||||
|
||||
# Frigate NVR™ - 一个具有实时目标检测的本地 NVR
|
||||
|
||||
[English](https://github.com/blakeblackshear/frigate) | \[简体中文\]
|
||||
|
||||
[](https://opensource.org/licenses/MIT)
|
||||
|
||||
<a href="https://hosted.weblate.org/engage/frigate-nvr/-/zh_Hans/">
|
||||
<img src="https://hosted.weblate.org/widget/frigate-nvr/-/zh_Hans/svg-badge.svg" alt="翻译状态" />
|
||||
</a>
|
||||
|
||||
一个完整的本地网络视频录像机（NVR），专为[Home Assistant](https://www.home-assistant.io)设计，具备 AI 目标/物体检测功能。使用 OpenCV 和 TensorFlow 在本地为 IP 摄像头执行实时物体检测。
|
||||
|
||||
强烈推荐使用 GPU 或者 AI 加速器（例如[Google Coral 加速器](https://coral.ai/products/) 或者 [Hailo](https://hailo.ai/)等）。它们的运行效率远远高于现在的顶级 CPU，并且功耗也极低。
|
||||
|
||||
- 通过[自定义组件](https://github.com/blakeblackshear/frigate-hass-integration)与 Home Assistant 紧密集成
|
||||
- 设计上通过仅在必要时和必要地点寻找目标，最大限度地减少资源使用并最大化性能
|
||||
- 大量利用多进程处理，强调实时性而非处理每一帧
|
||||
- 使用非常低开销的画面变动检测（也叫运动检测）来确定运行目标检测的位置
|
||||
- 使用 TensorFlow 进行目标检测，并运行在单独的进程中以达到最大 FPS
|
||||
- 通过 MQTT 进行通信，便于集成到其他系统中
|
||||
- 根据检测到的物体设置保留时间进行视频录制
|
||||
- 24/7 全天候录制
|
||||
- 通过 RTSP 重新流传输以减少摄像头的连接数
|
||||
- 支持 WebRTC 和 MSE，实现低延迟的实时观看
|
||||
|
||||
## 社区中文翻译文档
|
||||
|
||||
你可以在这里查看文档 https://docs.frigate-cn.video
|
||||
|
||||
## 赞助
|
||||
|
||||
如果您想通过捐赠支持开发，请使用 [Github Sponsors](https://github.com/sponsors/blakeblackshear)。
|
||||
|
||||
## 协议
|
||||
|
||||
本项目采用 **MIT 许可证**授权。
|
||||
**代码部分**：本代码库中的源代码、配置文件和文档均遵循 [MIT 许可证](LICENSE)。您可以自由使用、修改和分发这些代码，但必须保留原始版权声明。
|
||||
|
||||
**商标部分**：“Frigate”名称、“Frigate NVR”品牌以及 Frigate 的 Logo 为 **Frigate LLC 的商标**，**不在** MIT 许可证覆盖范围内。
|
||||
有关品牌资产的规范使用详情，请参阅我们的[《商标政策》](TRADEMARK.md)。
|
||||
|
||||
## 截图
|
||||
|
||||
### 实时监控面板
|
||||
|
||||
<div>
|
||||
<img width="800" alt="实时监控面板" src="https://github.com/blakeblackshear/frigate/assets/569905/5e713cb9-9db5-41dc-947a-6937c3bc376e">
|
||||
</div>
|
||||
|
||||
### 简单的核查工作流程
|
||||
|
||||
<div>
|
||||
<img width="800" alt="简单的审查工作流程" src="https://github.com/blakeblackshear/frigate/assets/569905/6fed96e8-3b18-40e5-9ddc-31e6f3c9f2ff">
|
||||
</div>
|
||||
|
||||
### 多摄像头可按时间轴查看
|
||||
|
||||
<div>
|
||||
<img width="800" alt="多摄像头可按时间轴查看" src="https://github.com/blakeblackshear/frigate/assets/569905/d6788a15-0eeb-4427-a8d4-80b93cae3d74">
|
||||
</div>
|
||||
|
||||
### 内置遮罩和区域编辑器
|
||||
|
||||
<div>
|
||||
<img width="800" alt="内置遮罩和区域编辑器" src="https://github.com/blakeblackshear/frigate/assets/569905/d7885fc3-bfe6-452f-b7d0-d957cb3e31f5">
|
||||
</div>
|
||||
|
||||
## 翻译
|
||||
|
||||
我们使用 [Weblate](https://hosted.weblate.org/projects/frigate-nvr/) 平台提供翻译支持，欢迎参与进来一起完善。
|
||||
|
||||
## 非官方中文讨论社区
|
||||
|
||||
欢迎加入中文讨论 QQ 群：[1043861059](https://qm.qq.com/q/7vQKsTmSz)
|
||||
|
||||
Bilibili：https://space.bilibili.com/3546894915602564
|
||||
|
||||
## 中文社区赞助商
|
||||
|
||||
[](https://edgeone.ai/zh?from=github)
|
||||
本项目 CDN 加速及安全防护由 Tencent EdgeOne 赞助
|
||||
|
||||
---
|
||||
|
||||
**Copyright © 2025 Frigate LLC.**
|
||||
58
sam2-cpu/frigate-dev/TRADEMARK.md
Normal file
58
sam2-cpu/frigate-dev/TRADEMARK.md
Normal file
@@ -0,0 +1,58 @@
|
||||
# Trademark Policy
|
||||
|
||||
**Last Updated:** November 2025
|
||||
|
||||
This document outlines the policy regarding the use of the trademarks associated with the Frigate NVR project.
|
||||
|
||||
## 1. Our Trademarks
|
||||
|
||||
The following terms and visual assets are trademarks (the "Marks") of **Frigate LLC**:
|
||||
|
||||
- **Frigate™**
|
||||
- **Frigate NVR™**
|
||||
- **Frigate+™**
|
||||
- **The Frigate Logo**
|
||||
|
||||
**Note on Common Law Rights:**
|
||||
Frigate LLC asserts all common law rights in these Marks. The absence of a federal registration symbol (®) does not constitute a waiver of our intellectual property rights.
|
||||
|
||||
## 2. Interaction with the MIT License
|
||||
|
||||
The software in this repository is licensed under the [MIT License](LICENSE).
|
||||
|
||||
**Crucial Distinction:**
|
||||
|
||||
- The **Code** is free to use, modify, and distribute under the MIT terms.
|
||||
- The **Brand (Trademarks)** is **NOT** licensed under MIT.
|
||||
|
||||
You may not use the Marks in any way that is not explicitly permitted by this policy or by written agreement with Frigate LLC.
|
||||
|
||||
## 3. Acceptable Use
|
||||
|
||||
You may use the Marks without prior written permission in the following specific contexts:
|
||||
|
||||
- **Referential Use:** To truthfully refer to the software (e.g., _"I use Frigate NVR for my home security"_).
|
||||
- **Compatibility:** To indicate that your product or project works with the software (e.g., _"MyPlugin for Frigate NVR"_ or _"Compatible with Frigate"_).
|
||||
- **Commentary:** In news articles, blog posts, or tutorials discussing the software.
|
||||
|
||||
## 4. Prohibited Use
|
||||
|
||||
You may **NOT** use the Marks in the following ways:
|
||||
|
||||
- **Commercial Products:** You may not use "Frigate" in the name of a commercial product, service, or app (e.g., selling an app named _"Frigate Viewer"_ is prohibited).
|
||||
- **Implying Affiliation:** You may not use the Marks in a way that suggests your project is official, sponsored by, or endorsed by Frigate LLC.
|
||||
- **Confusing Forks:** If you fork this repository to create a derivative work, you **must** remove the Frigate logo and rename your project to avoid user confusion. You cannot distribute a modified version of the software under the name "Frigate".
|
||||
- **Domain Names:** You may not register domain names containing "Frigate" that are likely to confuse users (e.g., `frigate-official-support.com`).
|
||||
|
||||
## 5. The Logo
|
||||
|
||||
The Frigate logo (the bird icon) is a visual trademark.
|
||||
|
||||
- You generally **cannot** use the logo on your own website or product packaging without permission.
|
||||
- If you are building a dashboard or integration that interfaces with Frigate, you may use the logo only to represent the Frigate node/service, provided it does not imply you _are_ Frigate.
|
||||
|
||||
## 6. Questions & Permissions
|
||||
|
||||
If you are unsure if your intended use violates this policy, or if you wish to request a specific license to use the Marks (e.g., for a partnership), please contact us at:
|
||||
|
||||
**help@frigate.video**
|
||||
521
sam2-cpu/frigate-dev/audio-labelmap.txt
Normal file
521
sam2-cpu/frigate-dev/audio-labelmap.txt
Normal file
@@ -0,0 +1,521 @@
|
||||
speech
|
||||
speech
|
||||
speech
|
||||
speech
|
||||
babbling
|
||||
speech
|
||||
yell
|
||||
bellow
|
||||
whoop
|
||||
yell
|
||||
yell
|
||||
yell
|
||||
whispering
|
||||
laughter
|
||||
laughter
|
||||
laughter
|
||||
snicker
|
||||
laughter
|
||||
laughter
|
||||
crying
|
||||
crying
|
||||
crying
|
||||
yell
|
||||
sigh
|
||||
singing
|
||||
choir
|
||||
sodeling
|
||||
chant
|
||||
mantra
|
||||
child_singing
|
||||
synthetic_singing
|
||||
rapping
|
||||
humming
|
||||
groan
|
||||
grunt
|
||||
whistling
|
||||
breathing
|
||||
wheeze
|
||||
snoring
|
||||
gasp
|
||||
pant
|
||||
snort
|
||||
cough
|
||||
throat_clearing
|
||||
sneeze
|
||||
sniff
|
||||
run
|
||||
shuffle
|
||||
footsteps
|
||||
chewing
|
||||
biting
|
||||
gargling
|
||||
stomach_rumble
|
||||
burping
|
||||
hiccup
|
||||
fart
|
||||
hands
|
||||
finger_snapping
|
||||
clapping
|
||||
heartbeat
|
||||
heart_murmur
|
||||
cheering
|
||||
applause
|
||||
chatter
|
||||
crowd
|
||||
speech
|
||||
children_playing
|
||||
animal
|
||||
pets
|
||||
dog
|
||||
bark
|
||||
yip
|
||||
howl
|
||||
bow-wow
|
||||
growling
|
||||
whimper_dog
|
||||
cat
|
||||
purr
|
||||
meow
|
||||
hiss
|
||||
caterwaul
|
||||
livestock
|
||||
horse
|
||||
clip-clop
|
||||
neigh
|
||||
cattle
|
||||
moo
|
||||
cowbell
|
||||
pig
|
||||
oink
|
||||
goat
|
||||
bleat
|
||||
sheep
|
||||
fowl
|
||||
chicken
|
||||
cluck
|
||||
cock-a-doodle-doo
|
||||
turkey
|
||||
gobble
|
||||
duck
|
||||
quack
|
||||
goose
|
||||
honk
|
||||
wild_animals
|
||||
roaring_cats
|
||||
roar
|
||||
bird
|
||||
chird
|
||||
chirp
|
||||
squawk
|
||||
pigeon
|
||||
coo
|
||||
crow
|
||||
caw
|
||||
owl
|
||||
hoot
|
||||
flapping_wings
|
||||
dogs
|
||||
rats
|
||||
mouse
|
||||
patter
|
||||
insect
|
||||
cricket
|
||||
mosquito
|
||||
fly
|
||||
buzz
|
||||
buzz
|
||||
frog
|
||||
croak
|
||||
snake
|
||||
rattle
|
||||
whale_vocalization
|
||||
music
|
||||
musical_instrument
|
||||
plucked_string_instrument
|
||||
guitar
|
||||
electric_guitar
|
||||
bass_guitar
|
||||
acoustic_guitar
|
||||
steel_guitar
|
||||
tapping
|
||||
strum
|
||||
banjo
|
||||
sitar
|
||||
mandolin
|
||||
zither
|
||||
ukulele
|
||||
keyboard
|
||||
piano
|
||||
electric_piano
|
||||
organ
|
||||
electronic_organ
|
||||
hammond_organ
|
||||
synthesizer
|
||||
sampler
|
||||
harpsichord
|
||||
percussion
|
||||
drum_kit
|
||||
drum_machine
|
||||
drum
|
||||
snare_drum
|
||||
rimshot
|
||||
drum_roll
|
||||
bass_drum
|
||||
timpani
|
||||
tabla
|
||||
cymbal
|
||||
hi-hat
|
||||
wood_block
|
||||
tambourine
|
||||
rattle
|
||||
maraca
|
||||
gong
|
||||
tubular_bells
|
||||
mallet_percussion
|
||||
marimba
|
||||
glockenspiel
|
||||
vibraphone
|
||||
steelpan
|
||||
orchestra
|
||||
brass_instrument
|
||||
french_horn
|
||||
trumpet
|
||||
trombone
|
||||
bowed_string_instrument
|
||||
string_section
|
||||
violin
|
||||
pizzicato
|
||||
cello
|
||||
double_bass
|
||||
wind_instrument
|
||||
flute
|
||||
saxophone
|
||||
clarinet
|
||||
harp
|
||||
bell
|
||||
church_bell
|
||||
jingle_bell
|
||||
bicycle_bell
|
||||
tuning_fork
|
||||
chime
|
||||
wind_chime
|
||||
change_ringing
|
||||
harmonica
|
||||
accordion
|
||||
bagpipes
|
||||
didgeridoo
|
||||
shofar
|
||||
theremin
|
||||
singing_bowl
|
||||
scratching
|
||||
pop_music
|
||||
hip_hop_music
|
||||
beatboxing
|
||||
rock_music
|
||||
heavy_metal
|
||||
punk_rock
|
||||
grunge
|
||||
progressive_rock
|
||||
rock_and_roll
|
||||
psychedelic_rock
|
||||
rhythm_and_blues
|
||||
soul_music
|
||||
reggae
|
||||
country
|
||||
swing_music
|
||||
bluegrass
|
||||
funk
|
||||
folk_music
|
||||
middle_eastern_music
|
||||
jazz
|
||||
disco
|
||||
classical_music
|
||||
opera
|
||||
electronic_music
|
||||
house_music
|
||||
techno
|
||||
dubstep
|
||||
drum_and_bass
|
||||
electronica
|
||||
electronic_dance_music
|
||||
ambient_music
|
||||
trance_music
|
||||
music_of_latin_america
|
||||
salsa_music
|
||||
flamenco
|
||||
blues
|
||||
music_for_children
|
||||
new-age_music
|
||||
vocal_music
|
||||
a_capella
|
||||
music_of_africa
|
||||
afrobeat
|
||||
christian_music
|
||||
gospel_music
|
||||
music_of_asia
|
||||
carnatic_music
|
||||
music_of_bollywood
|
||||
ska
|
||||
traditional_music
|
||||
independent_music
|
||||
song
|
||||
background_music
|
||||
theme_music
|
||||
jingle
|
||||
soundtrack_music
|
||||
lullaby
|
||||
video_game_music
|
||||
christmas_music
|
||||
dance_music
|
||||
wedding_music
|
||||
happy_music
|
||||
sad_music
|
||||
tender_music
|
||||
exciting_music
|
||||
angry_music
|
||||
scary_music
|
||||
wind
|
||||
rustling_leaves
|
||||
wind_noise
|
||||
thunderstorm
|
||||
thunder
|
||||
water
|
||||
rain
|
||||
raindrop
|
||||
rain_on_surface
|
||||
stream
|
||||
waterfall
|
||||
ocean
|
||||
waves
|
||||
steam
|
||||
gurgling
|
||||
fire
|
||||
crackle
|
||||
vehicle
|
||||
boat
|
||||
sailboat
|
||||
rowboat
|
||||
motorboat
|
||||
ship
|
||||
motor_vehicle
|
||||
car
|
||||
honk
|
||||
toot
|
||||
car_alarm
|
||||
power_windows
|
||||
skidding
|
||||
tire_squeal
|
||||
car_passing_by
|
||||
race_car
|
||||
truck
|
||||
air_brake
|
||||
air_horn
|
||||
reversing_beeps
|
||||
ice_cream_truck
|
||||
bus
|
||||
emergency_vehicle
|
||||
police_car
|
||||
ambulance
|
||||
fire_engine
|
||||
motorcycle
|
||||
traffic_noise
|
||||
rail_transport
|
||||
train
|
||||
train_whistle
|
||||
train_horn
|
||||
railroad_car
|
||||
train_wheels_squealing
|
||||
subway
|
||||
aircraft
|
||||
aircraft_engine
|
||||
jet_engine
|
||||
propeller
|
||||
helicopter
|
||||
fixed-wing_aircraft
|
||||
bicycle
|
||||
skateboard
|
||||
engine
|
||||
light_engine
|
||||
dental_drill's_drill
|
||||
lawn_mower
|
||||
chainsaw
|
||||
medium_engine
|
||||
heavy_engine
|
||||
engine_knocking
|
||||
engine_starting
|
||||
idling
|
||||
accelerating
|
||||
door
|
||||
doorbell
|
||||
ding-dong
|
||||
sliding_door
|
||||
slam
|
||||
knock
|
||||
tap
|
||||
squeak
|
||||
cupboard_open_or_close
|
||||
drawer_open_or_close
|
||||
dishes
|
||||
cutlery
|
||||
chopping
|
||||
frying
|
||||
microwave_oven
|
||||
blender
|
||||
water_tap
|
||||
sink
|
||||
bathtub
|
||||
hair_dryer
|
||||
toilet_flush
|
||||
toothbrush
|
||||
electric_toothbrush
|
||||
vacuum_cleaner
|
||||
zipper
|
||||
keys_jangling
|
||||
coin
|
||||
scissors
|
||||
electric_shaver
|
||||
shuffling_cards
|
||||
typing
|
||||
typewriter
|
||||
computer_keyboard
|
||||
writing
|
||||
alarm
|
||||
telephone
|
||||
telephone_bell_ringing
|
||||
ringtone
|
||||
telephone_dialing
|
||||
dial_tone
|
||||
busy_signal
|
||||
alarm_clock
|
||||
siren
|
||||
civil_defense_siren
|
||||
buzzer
|
||||
smoke_detector
|
||||
fire_alarm
|
||||
foghorn
|
||||
whistle
|
||||
steam_whistle
|
||||
mechanisms
|
||||
ratchet
|
||||
clock
|
||||
tick
|
||||
tick-tock
|
||||
gears
|
||||
pulleys
|
||||
sewing_machine
|
||||
mechanical_fan
|
||||
air_conditioning
|
||||
cash_register
|
||||
printer
|
||||
camera
|
||||
single-lens_reflex_camera
|
||||
tools
|
||||
hammer
|
||||
jackhammer
|
||||
sawing
|
||||
filing
|
||||
sanding
|
||||
power_tool
|
||||
drill
|
||||
explosion
|
||||
gunshot
|
||||
machine_gun
|
||||
fusillade
|
||||
artillery_fire
|
||||
cap_gun
|
||||
fireworks
|
||||
firecracker
|
||||
burst
|
||||
eruption
|
||||
boom
|
||||
wood
|
||||
chop
|
||||
splinter
|
||||
crack
|
||||
glass
|
||||
chink
|
||||
shatter
|
||||
liquid
|
||||
splash
|
||||
slosh
|
||||
squish
|
||||
drip
|
||||
pour
|
||||
trickle
|
||||
gush
|
||||
fill
|
||||
spray
|
||||
pump
|
||||
stir
|
||||
boiling
|
||||
sonar
|
||||
arrow
|
||||
whoosh
|
||||
thump
|
||||
thunk
|
||||
electronic_tuner
|
||||
effects_unit
|
||||
chorus_effect
|
||||
basketball_bounce
|
||||
bang
|
||||
slap
|
||||
whack
|
||||
smash
|
||||
breaking
|
||||
bouncing
|
||||
whip
|
||||
flap
|
||||
scratch
|
||||
scrape
|
||||
rub
|
||||
roll
|
||||
crushing
|
||||
crumpling
|
||||
tearing
|
||||
beep
|
||||
ping
|
||||
ding
|
||||
clang
|
||||
squeal
|
||||
creak
|
||||
rustle
|
||||
whir
|
||||
clatter
|
||||
sizzle
|
||||
clicking
|
||||
clickety-clack
|
||||
rumble
|
||||
plop
|
||||
jingle
|
||||
hum
|
||||
zing
|
||||
boing
|
||||
crunch
|
||||
silence
|
||||
sine_wave
|
||||
harmonic
|
||||
chirp_tone
|
||||
sound_effect
|
||||
pulse
|
||||
inside
|
||||
inside
|
||||
inside
|
||||
outside
|
||||
outside
|
||||
reverberation
|
||||
echo
|
||||
noise
|
||||
environmental_noise
|
||||
static
|
||||
mains_hum
|
||||
distortion
|
||||
sidetone
|
||||
cacophony
|
||||
white_noise
|
||||
pink_noise
|
||||
throbbing
|
||||
vibration
|
||||
television
|
||||
radio
|
||||
field_recording
|
||||
109
sam2-cpu/frigate-dev/benchmark.py
Executable file
109
sam2-cpu/frigate-dev/benchmark.py
Executable file
@@ -0,0 +1,109 @@
|
||||
import datetime
|
||||
import multiprocessing as mp
|
||||
from statistics import mean
|
||||
|
||||
import numpy as np
|
||||
|
||||
from frigate.config import DetectorTypeEnum
|
||||
from frigate.object_detection.base import (
|
||||
ObjectDetectProcess,
|
||||
RemoteObjectDetector,
|
||||
load_labels,
|
||||
)
|
||||
from frigate.util.process import FrigateProcess
|
||||
|
||||
my_frame = np.expand_dims(np.full((300, 300, 3), 1, np.uint8), axis=0)
|
||||
labels = load_labels("/labelmap.txt")
|
||||
|
||||
######
|
||||
# Minimal same process runner
|
||||
######
|
||||
# object_detector = LocalObjectDetector()
|
||||
# tensor_input = np.expand_dims(np.full((300,300,3), 0, np.uint8), axis=0)
|
||||
|
||||
# start = datetime.datetime.now().timestamp()
|
||||
|
||||
# frame_times = []
|
||||
# for x in range(0, 1000):
|
||||
# start_frame = datetime.datetime.now().timestamp()
|
||||
|
||||
# tensor_input[:] = my_frame
|
||||
# detections = object_detector.detect_raw(tensor_input)
|
||||
# parsed_detections = []
|
||||
# for d in detections:
|
||||
# if d[1] < 0.4:
|
||||
# break
|
||||
# parsed_detections.append((
|
||||
# labels[int(d[0])],
|
||||
# float(d[1]),
|
||||
# (d[2], d[3], d[4], d[5])
|
||||
# ))
|
||||
# frame_times.append(datetime.datetime.now().timestamp()-start_frame)
|
||||
|
||||
# duration = datetime.datetime.now().timestamp()-start
|
||||
# print(f"Processed for {duration:.2f} seconds.")
|
||||
# print(f"Average frame processing time: {mean(frame_times)*1000:.2f}ms")
|
||||
|
||||
|
||||
def start(id, num_detections, detection_queue, event):
|
||||
object_detector = RemoteObjectDetector(
|
||||
str(id), "/labelmap.txt", detection_queue, event
|
||||
)
|
||||
start = datetime.datetime.now().timestamp()
|
||||
|
||||
frame_times = []
|
||||
for x in range(0, num_detections):
|
||||
start_frame = datetime.datetime.now().timestamp()
|
||||
object_detector.detect(my_frame)
|
||||
frame_times.append(datetime.datetime.now().timestamp() - start_frame)
|
||||
|
||||
duration = datetime.datetime.now().timestamp() - start
|
||||
object_detector.cleanup()
|
||||
print(f"{id} - Processed for {duration:.2f} seconds.")
|
||||
print(f"{id} - FPS: {object_detector.fps.eps():.2f}")
|
||||
print(f"{id} - Average frame processing time: {mean(frame_times) * 1000:.2f}ms")
|
||||
|
||||
|
||||
######
|
||||
# Separate process runner
|
||||
######
|
||||
# event = mp.Event()
|
||||
# detection_queue = mp.Queue()
|
||||
# edgetpu_process = EdgeTPUProcess(detection_queue, {'1': event}, 'usb:0')
|
||||
|
||||
# start(1, 1000, edgetpu_process.detection_queue, event)
|
||||
# print(f"Average raw inference speed: {edgetpu_process.avg_inference_speed.value*1000:.2f}ms")
|
||||
|
||||
####
|
||||
# Multiple camera processes
|
||||
####
|
||||
camera_processes = []
|
||||
|
||||
events = {}
|
||||
for x in range(0, 10):
|
||||
events[str(x)] = mp.Event()
|
||||
detection_queue = mp.Queue()
|
||||
edgetpu_process_1 = ObjectDetectProcess(
|
||||
detection_queue, events, DetectorTypeEnum.edgetpu, "usb:0"
|
||||
)
|
||||
edgetpu_process_2 = ObjectDetectProcess(
|
||||
detection_queue, events, DetectorTypeEnum.edgetpu, "usb:1"
|
||||
)
|
||||
|
||||
for x in range(0, 10):
|
||||
camera_process = FrigateProcess(
|
||||
target=start, args=(x, 300, detection_queue, events[str(x)])
|
||||
)
|
||||
camera_process.daemon = True
|
||||
camera_processes.append(camera_process)
|
||||
|
||||
start_time = datetime.datetime.now().timestamp()
|
||||
|
||||
for p in camera_processes:
|
||||
p.start()
|
||||
|
||||
for p in camera_processes:
|
||||
p.join()
|
||||
|
||||
duration = datetime.datetime.now().timestamp() - start_time
|
||||
print(f"Total - Processed for {duration:.2f} seconds.")
|
||||
118
sam2-cpu/frigate-dev/benchmark_motion.py
Normal file
118
sam2-cpu/frigate-dev/benchmark_motion.py
Normal file
@@ -0,0 +1,118 @@
|
||||
import datetime
|
||||
import multiprocessing as mp
|
||||
import os
|
||||
|
||||
import cv2
|
||||
import numpy as np
|
||||
|
||||
from frigate.config import MotionConfig
|
||||
from frigate.motion.improved_motion import ImprovedMotionDetector
|
||||
from frigate.util import create_mask
|
||||
|
||||
# get info on the video
|
||||
# cap = cv2.VideoCapture("debug/front_cam_2023_05_23_08_41__2023_05_23_08_43.mp4")
|
||||
# cap = cv2.VideoCapture("debug/motion_test_clips/rain_1.mp4")
|
||||
cap = cv2.VideoCapture("debug/motion_test_clips/lawn_mower_night_1.mp4")
|
||||
# cap = cv2.VideoCapture("airport.mp4")
|
||||
width = int(cap.get(cv2.CAP_PROP_FRAME_WIDTH))
|
||||
height = int(cap.get(cv2.CAP_PROP_FRAME_HEIGHT))
|
||||
fps = cap.get(cv2.CAP_PROP_FPS)
|
||||
frame_shape = (height, width, 3)
|
||||
# Nick back:
|
||||
# "1280,0,1280,316,1170,216,1146,126,1016,127,979,82,839,0",
|
||||
# "310,350,300,402,224,405,241,354",
|
||||
# "378,0,375,26,0,23,0,0",
|
||||
# Front door:
|
||||
# "1080,0,1080,339,1010,280,1020,169,777,163,452,170,318,299,191,365,186,417,139,470,108,516,40,530,0,514,0,0",
|
||||
# "336,833,438,1024,346,1093,103,1052,24,814",
|
||||
# Back
|
||||
# "1855,0,1851,100,1289,96,1105,161,1045,119,890,121,890,0",
|
||||
# "505,95,506,138,388,153,384,114",
|
||||
# "689,72,689,122,549,134,547,89",
|
||||
# "261,134,264,176,169,195,167,158",
|
||||
# "145,159,146,202,70,220,65,183",
|
||||
|
||||
mask = create_mask(
|
||||
(height, width),
|
||||
[
|
||||
"1080,0,1080,339,1010,280,1020,169,777,163,452,170,318,299,191,365,186,417,139,470,108,516,40,530,0,514,0,0",
|
||||
"336,833,438,1024,346,1093,103,1052,24,814",
|
||||
],
|
||||
)
|
||||
|
||||
# create the motion config
|
||||
motion_config_1 = MotionConfig()
|
||||
motion_config_1.mask = np.zeros((height, width), np.uint8)
|
||||
motion_config_1.mask[:] = mask
|
||||
# motion_config_1.improve_contrast = 1
|
||||
motion_config_1.frame_height = 150
|
||||
# motion_config_1.frame_alpha = 0.02
|
||||
# motion_config_1.threshold = 30
|
||||
# motion_config_1.contour_area = 10
|
||||
|
||||
motion_config_2 = MotionConfig()
|
||||
motion_config_2.mask = np.zeros((height, width), np.uint8)
|
||||
motion_config_2.mask[:] = mask
|
||||
# motion_config_2.improve_contrast = 1
|
||||
motion_config_2.frame_height = 150
|
||||
# motion_config_2.frame_alpha = 0.01
|
||||
motion_config_2.threshold = 20
|
||||
# motion_config.contour_area = 10
|
||||
|
||||
save_images = True
|
||||
|
||||
improved_motion_detector_1 = ImprovedMotionDetector(
|
||||
frame_shape=frame_shape,
|
||||
config=motion_config_1,
|
||||
fps=fps,
|
||||
improve_contrast=mp.Value("i", motion_config_1.improve_contrast),
|
||||
threshold=mp.Value("i", motion_config_1.threshold),
|
||||
contour_area=mp.Value("i", motion_config_1.contour_area),
|
||||
name="default",
|
||||
)
|
||||
improved_motion_detector_1.save_images = save_images
|
||||
|
||||
improved_motion_detector_2 = ImprovedMotionDetector(
|
||||
frame_shape=frame_shape,
|
||||
config=motion_config_2,
|
||||
fps=fps,
|
||||
improve_contrast=mp.Value("i", motion_config_2.improve_contrast),
|
||||
threshold=mp.Value("i", motion_config_2.threshold),
|
||||
contour_area=mp.Value("i", motion_config_2.contour_area),
|
||||
name="compare",
|
||||
)
|
||||
improved_motion_detector_2.save_images = save_images
|
||||
|
||||
# read and process frames
|
||||
ret, frame = cap.read()
|
||||
frame_counter = 1
|
||||
while ret:
|
||||
yuv_frame = cv2.cvtColor(frame, cv2.COLOR_BGR2YUV_I420)
|
||||
|
||||
start_frame = datetime.datetime.now().timestamp()
|
||||
improved_motion_detector_1.detect(yuv_frame)
|
||||
|
||||
start_frame = datetime.datetime.now().timestamp()
|
||||
improved_motion_detector_2.detect(yuv_frame)
|
||||
|
||||
default_frame = f"debug/frames/default-{frame_counter}.jpg"
|
||||
compare_frame = f"debug/frames/compare-{frame_counter}.jpg"
|
||||
if os.path.exists(default_frame) and os.path.exists(compare_frame):
|
||||
images = [
|
||||
cv2.imread(default_frame),
|
||||
cv2.imread(compare_frame),
|
||||
]
|
||||
|
||||
cv2.imwrite(
|
||||
f"debug/frames/all-{frame_counter}.jpg",
|
||||
cv2.vconcat(images)
|
||||
if frame_shape[0] > frame_shape[1]
|
||||
else cv2.hconcat(images),
|
||||
)
|
||||
os.unlink(default_frame)
|
||||
os.unlink(compare_frame)
|
||||
frame_counter += 1
|
||||
|
||||
ret, frame = cap.read()
|
||||
|
||||
cap.release()
|
||||
16
sam2-cpu/frigate-dev/config/config.yml.example
Normal file
16
sam2-cpu/frigate-dev/config/config.yml.example
Normal file
@@ -0,0 +1,16 @@
|
||||
mqtt:
|
||||
host: mqtt
|
||||
|
||||
cameras:
|
||||
test:
|
||||
ffmpeg:
|
||||
inputs:
|
||||
- path: /media/frigate/car-stopping.mp4
|
||||
input_args: -re -stream_loop -1 -fflags +genpts
|
||||
roles:
|
||||
- detect
|
||||
- rtmp
|
||||
detect:
|
||||
height: 1080
|
||||
width: 1920
|
||||
fps: 5
|
||||
22
sam2-cpu/frigate-dev/cspell.json
Normal file
22
sam2-cpu/frigate-dev/cspell.json
Normal file
@@ -0,0 +1,22 @@
|
||||
{
|
||||
"version": "0.2",
|
||||
"ignorePaths": [
|
||||
"Dockerfile",
|
||||
"Dockerfile.*",
|
||||
"CMakeLists.txt",
|
||||
"*.db",
|
||||
"node_modules",
|
||||
"__pycache__",
|
||||
"dist",
|
||||
"/audio-labelmap.txt"
|
||||
],
|
||||
"language": "en",
|
||||
"dictionaryDefinitions": [
|
||||
{
|
||||
"name": "frigate-dictionary",
|
||||
"path": "./.cspell/frigate-dictionary.txt",
|
||||
"addWords": true
|
||||
}
|
||||
],
|
||||
"dictionaries": ["frigate-dictionary"]
|
||||
}
|
||||
42
sam2-cpu/frigate-dev/docker-compose.yml
Normal file
42
sam2-cpu/frigate-dev/docker-compose.yml
Normal file
@@ -0,0 +1,42 @@
|
||||
services:
|
||||
devcontainer:
|
||||
container_name: frigate-devcontainer
|
||||
# Check host system's actual render/video/plugdev group IDs with 'getent group render', 'getent group video', and 'getent group plugdev'
|
||||
# Must add these exact IDs in container's group_add section or OpenVINO GPU acceleration will fail
|
||||
group_add:
|
||||
- "109" # render
|
||||
- "110" # render
|
||||
- "44" # video
|
||||
- "46" # plugdev
|
||||
shm_size: "256mb"
|
||||
build:
|
||||
context: .
|
||||
dockerfile: docker/main/Dockerfile
|
||||
# Use target devcontainer-trt for TensorRT dev
|
||||
target: devcontainer
|
||||
## Uncomment this block for nvidia gpu support
|
||||
# deploy:
|
||||
# resources:
|
||||
# reservations:
|
||||
# devices:
|
||||
# - driver: nvidia
|
||||
# count: 1
|
||||
# capabilities: [gpu]
|
||||
environment:
|
||||
YOLO_MODELS: ""
|
||||
# devices:
|
||||
# - /dev/bus/usb:/dev/bus/usb # Uncomment for Google Coral USB
|
||||
# - /dev/dri:/dev/dri # for intel hwaccel, needs to be updated for your hardware
|
||||
volumes:
|
||||
- .:/workspace/frigate:cached
|
||||
- ./web/dist:/opt/frigate/web:cached
|
||||
- /etc/localtime:/etc/localtime:ro
|
||||
- ./config:/config
|
||||
- ./debug:/media/frigate
|
||||
# - /dev/bus/usb:/dev/bus/usb # Uncomment for Google Coral USB
|
||||
mqtt:
|
||||
container_name: mqtt
|
||||
image: eclipse-mosquitto:2.0
|
||||
command: mosquitto -c /mosquitto-no-auth.conf # enable no-auth mode
|
||||
ports:
|
||||
- "1883:1883"
|
||||
49
sam2-cpu/frigate-dev/docker/hailo8l/user_installation.sh
Normal file
49
sam2-cpu/frigate-dev/docker/hailo8l/user_installation.sh
Normal file
@@ -0,0 +1,49 @@
|
||||
#!/bin/bash
|
||||
|
||||
# Update package list and install dependencies
|
||||
sudo apt-get update
|
||||
sudo apt-get install -y build-essential cmake git wget
|
||||
|
||||
hailo_version="4.21.0"
|
||||
arch=$(uname -m)
|
||||
|
||||
if [[ $arch == "x86_64" ]]; then
|
||||
sudo apt install -y linux-headers-$(uname -r);
|
||||
else
|
||||
sudo apt install -y linux-modules-extra-$(uname -r);
|
||||
fi
|
||||
|
||||
# Clone the HailoRT driver repository
|
||||
git clone --depth 1 --branch v${hailo_version} https://github.com/hailo-ai/hailort-drivers.git
|
||||
|
||||
# Build and install the HailoRT driver
|
||||
cd hailort-drivers/linux/pcie
|
||||
sudo make all
|
||||
sudo make install
|
||||
|
||||
# Load the Hailo PCI driver
|
||||
sudo modprobe hailo_pci
|
||||
|
||||
if [ $? -ne 0 ]; then
|
||||
echo "Unable to load hailo_pci module, common reasons for this are:"
|
||||
echo "- Key was rejected by service: Secure Boot is enabling disallowing install."
|
||||
echo "- Permissions are not setup correctly."
|
||||
exit 1
|
||||
fi
|
||||
|
||||
# Download and install the firmware
|
||||
cd ../../
|
||||
./download_firmware.sh
|
||||
|
||||
# verify the firmware folder is present
|
||||
if [ ! -d /lib/firmware/hailo ]; then
|
||||
sudo mkdir /lib/firmware/hailo
|
||||
fi
|
||||
sudo mv hailo8_fw.*.bin /lib/firmware/hailo/hailo8_fw.bin
|
||||
|
||||
# Install udev rules
|
||||
sudo cp ./linux/pcie/51-hailo-udev.rules /etc/udev/rules.d/
|
||||
sudo udevadm control --reload-rules && sudo udevadm trigger
|
||||
|
||||
echo "HailoRT driver installation complete."
|
||||
echo "reboot your system to load the firmware!"
|
||||
340
sam2-cpu/frigate-dev/docker/main/Dockerfile
Normal file
340
sam2-cpu/frigate-dev/docker/main/Dockerfile
Normal file
@@ -0,0 +1,340 @@
|
||||
# syntax=docker/dockerfile:1.6
|
||||
|
||||
# https://askubuntu.com/questions/972516/debian-frontend-environment-variable
|
||||
ARG DEBIAN_FRONTEND=noninteractive
|
||||
|
||||
# Globally set pip break-system-packages option to avoid having to specify it every time
|
||||
ARG PIP_BREAK_SYSTEM_PACKAGES=1
|
||||
|
||||
ARG BASE_IMAGE=debian:12
|
||||
ARG SLIM_BASE=debian:12-slim
|
||||
|
||||
# A hook that allows us to inject commands right after the base images
|
||||
ARG BASE_HOOK=
|
||||
|
||||
FROM ${BASE_IMAGE} AS base
|
||||
ARG PIP_BREAK_SYSTEM_PACKAGES
|
||||
ARG BASE_HOOK
|
||||
|
||||
RUN sh -c "$BASE_HOOK"
|
||||
|
||||
FROM --platform=${BUILDPLATFORM} debian:12 AS base_host
|
||||
ARG PIP_BREAK_SYSTEM_PACKAGES
|
||||
|
||||
FROM ${SLIM_BASE} AS slim-base
|
||||
ARG PIP_BREAK_SYSTEM_PACKAGES
|
||||
ARG BASE_HOOK
|
||||
|
||||
RUN sh -c "$BASE_HOOK"
|
||||
|
||||
FROM slim-base AS wget
|
||||
ARG DEBIAN_FRONTEND
|
||||
RUN apt-get update \
|
||||
&& apt-get install -y wget xz-utils \
|
||||
&& rm -rf /var/lib/apt/lists/*
|
||||
WORKDIR /rootfs
|
||||
|
||||
FROM base AS nginx
|
||||
ARG DEBIAN_FRONTEND
|
||||
ENV CCACHE_DIR /root/.ccache
|
||||
ENV CCACHE_MAXSIZE 2G
|
||||
|
||||
RUN --mount=type=bind,source=docker/main/build_nginx.sh,target=/deps/build_nginx.sh \
|
||||
/deps/build_nginx.sh
|
||||
|
||||
FROM wget AS sqlite-vec
|
||||
ARG DEBIAN_FRONTEND
|
||||
|
||||
# Build sqlite_vec from source
|
||||
COPY docker/main/build_sqlite_vec.sh /deps/build_sqlite_vec.sh
|
||||
RUN --mount=type=tmpfs,target=/tmp --mount=type=tmpfs,target=/var/cache/apt \
|
||||
--mount=type=bind,source=docker/main/build_sqlite_vec.sh,target=/deps/build_sqlite_vec.sh \
|
||||
--mount=type=cache,target=/root/.ccache \
|
||||
/deps/build_sqlite_vec.sh
|
||||
|
||||
FROM scratch AS go2rtc
|
||||
ARG TARGETARCH
|
||||
WORKDIR /rootfs/usr/local/go2rtc/bin
|
||||
ADD --link --chmod=755 "https://github.com/AlexxIT/go2rtc/releases/download/v1.9.10/go2rtc_linux_${TARGETARCH}" go2rtc
|
||||
|
||||
FROM wget AS tempio
|
||||
ARG TARGETARCH
|
||||
RUN --mount=type=bind,source=docker/main/install_tempio.sh,target=/deps/install_tempio.sh \
|
||||
/deps/install_tempio.sh
|
||||
|
||||
####
|
||||
#
|
||||
# OpenVino Support
|
||||
#
|
||||
# 1. Download and convert a model from Intel's Public Open Model Zoo
|
||||
#
|
||||
####
|
||||
# Download and Convert OpenVino model
|
||||
FROM base_host AS ov-converter
|
||||
ARG DEBIAN_FRONTEND
|
||||
|
||||
# Install OpenVino Runtime and Dev library
|
||||
COPY docker/main/requirements-ov.txt /requirements-ov.txt
|
||||
RUN apt-get -qq update \
|
||||
&& apt-get -qq install -y wget python3 python3-dev python3-distutils gcc pkg-config libhdf5-dev \
|
||||
&& wget -q https://bootstrap.pypa.io/get-pip.py -O get-pip.py \
|
||||
&& sed -i 's/args.append("setuptools")/args.append("setuptools==77.0.3")/' get-pip.py \
|
||||
&& python3 get-pip.py "pip" \
|
||||
&& pip3 install -r /requirements-ov.txt
|
||||
|
||||
# Get OpenVino Model
|
||||
RUN --mount=type=bind,source=docker/main/build_ov_model.py,target=/build_ov_model.py \
|
||||
mkdir /models && cd /models \
|
||||
&& wget http://download.tensorflow.org/models/object_detection/ssdlite_mobilenet_v2_coco_2018_05_09.tar.gz \
|
||||
&& tar -xvf ssdlite_mobilenet_v2_coco_2018_05_09.tar.gz \
|
||||
&& python3 /build_ov_model.py
|
||||
|
||||
####
|
||||
#
|
||||
# Coral Compatibility
|
||||
#
|
||||
# Builds libusb without udev. Needed for synology and other devices with USB coral
|
||||
####
|
||||
# libUSB - No Udev
|
||||
FROM wget as libusb-build
|
||||
ARG TARGETARCH
|
||||
ARG DEBIAN_FRONTEND
|
||||
ENV CCACHE_DIR /root/.ccache
|
||||
ENV CCACHE_MAXSIZE 2G
|
||||
|
||||
# Build libUSB without udev. Needed for Openvino NCS2 support
|
||||
WORKDIR /opt
|
||||
RUN apt-get update && apt-get install -y unzip build-essential automake libtool ccache pkg-config
|
||||
RUN --mount=type=cache,target=/root/.ccache wget -q https://github.com/libusb/libusb/archive/v1.0.26.zip -O v1.0.26.zip && \
|
||||
unzip v1.0.26.zip && cd libusb-1.0.26 && \
|
||||
./bootstrap.sh && \
|
||||
./configure CC='ccache gcc' CCX='ccache g++' --disable-udev --enable-shared && \
|
||||
make -j $(nproc --all)
|
||||
RUN apt-get update && \
|
||||
apt-get install -y --no-install-recommends libusb-1.0-0-dev && \
|
||||
rm -rf /var/lib/apt/lists/*
|
||||
WORKDIR /opt/libusb-1.0.26/libusb
|
||||
RUN /bin/mkdir -p '/usr/local/lib' && \
|
||||
/bin/bash ../libtool --mode=install /usr/bin/install -c libusb-1.0.la '/usr/local/lib' && \
|
||||
/bin/mkdir -p '/usr/local/include/libusb-1.0' && \
|
||||
/usr/bin/install -c -m 644 libusb.h '/usr/local/include/libusb-1.0' && \
|
||||
/bin/mkdir -p '/usr/local/lib/pkgconfig' && \
|
||||
cd /opt/libusb-1.0.26/ && \
|
||||
/usr/bin/install -c -m 644 libusb-1.0.pc '/usr/local/lib/pkgconfig' && \
|
||||
ldconfig
|
||||
|
||||
FROM wget AS models
|
||||
|
||||
# Get model and labels
|
||||
RUN wget -qO edgetpu_model.tflite https://github.com/google-coral/test_data/raw/release-frogfish/ssdlite_mobiledet_coco_qat_postprocess_edgetpu.tflite
|
||||
RUN wget -qO cpu_model.tflite https://github.com/google-coral/test_data/raw/release-frogfish/ssdlite_mobiledet_coco_qat_postprocess.tflite
|
||||
COPY labelmap.txt .
|
||||
# Copy OpenVino model
|
||||
COPY --from=ov-converter /models/ssdlite_mobilenet_v2.xml openvino-model/
|
||||
COPY --from=ov-converter /models/ssdlite_mobilenet_v2.bin openvino-model/
|
||||
RUN wget -q https://github.com/openvinotoolkit/open_model_zoo/raw/master/data/dataset_classes/coco_91cl_bkgr.txt -O openvino-model/coco_91cl_bkgr.txt && \
|
||||
sed -i 's/truck/car/g' openvino-model/coco_91cl_bkgr.txt
|
||||
# Get Audio Model and labels
|
||||
RUN wget -qO - https://www.kaggle.com/api/v1/models/google/yamnet/tfLite/classification-tflite/1/download | tar xvz && mv 1.tflite cpu_audio_model.tflite
|
||||
COPY audio-labelmap.txt .
|
||||
|
||||
|
||||
FROM wget AS s6-overlay
|
||||
ARG TARGETARCH
|
||||
RUN --mount=type=bind,source=docker/main/install_s6_overlay.sh,target=/deps/install_s6_overlay.sh \
|
||||
/deps/install_s6_overlay.sh
|
||||
|
||||
|
||||
FROM base AS wheels
|
||||
ARG DEBIAN_FRONTEND
|
||||
ARG TARGETARCH
|
||||
ARG DEBUG=false
|
||||
|
||||
# Use a separate container to build wheels to prevent build dependencies in final image
|
||||
RUN apt-get -qq update \
|
||||
&& apt-get -qq install -y \
|
||||
apt-transport-https wget unzip \
|
||||
&& apt-get -qq update \
|
||||
&& apt-get -qq install -y \
|
||||
python3.11 \
|
||||
python3.11-dev \
|
||||
# opencv dependencies
|
||||
build-essential cmake git pkg-config libgtk-3-dev \
|
||||
libavcodec-dev libavformat-dev libswscale-dev libv4l-dev \
|
||||
libxvidcore-dev libx264-dev libjpeg-dev libpng-dev libtiff-dev \
|
||||
gfortran openexr libatlas-base-dev libssl-dev\
|
||||
libtbbmalloc2 libtbb-dev libdc1394-dev libopenexr-dev \
|
||||
libgstreamer-plugins-base1.0-dev libgstreamer1.0-dev \
|
||||
# sqlite3 dependencies
|
||||
tclsh \
|
||||
# scipy dependencies
|
||||
gcc gfortran libopenblas-dev liblapack-dev && \
|
||||
rm -rf /var/lib/apt/lists/*
|
||||
|
||||
RUN update-alternatives --install /usr/bin/python3 python3 /usr/bin/python3.11 1
|
||||
|
||||
RUN wget -q https://bootstrap.pypa.io/get-pip.py -O get-pip.py \
|
||||
&& sed -i 's/args.append("setuptools")/args.append("setuptools==77.0.3")/' get-pip.py \
|
||||
&& python3 get-pip.py "pip"
|
||||
|
||||
COPY docker/main/requirements.txt /requirements.txt
|
||||
COPY docker/main/requirements-dev.txt /requirements-dev.txt
|
||||
|
||||
RUN pip3 install -r /requirements.txt
|
||||
|
||||
# Build pysqlite3 from source
|
||||
COPY docker/main/build_pysqlite3.sh /build_pysqlite3.sh
|
||||
RUN /build_pysqlite3.sh
|
||||
|
||||
COPY docker/main/requirements-wheels.txt /requirements-wheels.txt
|
||||
RUN pip3 wheel --wheel-dir=/wheels -r /requirements-wheels.txt && \
|
||||
if [ "$DEBUG" = "true" ]; then \
|
||||
pip3 wheel --wheel-dir=/wheels -r /requirements-dev.txt; \
|
||||
fi
|
||||
|
||||
# Install HailoRT & Wheels
|
||||
RUN --mount=type=bind,source=docker/main/install_hailort.sh,target=/deps/install_hailort.sh \
|
||||
/deps/install_hailort.sh
|
||||
|
||||
# Collect deps in a single layer
|
||||
FROM scratch AS deps-rootfs
|
||||
COPY --from=nginx /usr/local/nginx/ /usr/local/nginx/
|
||||
COPY --from=sqlite-vec /usr/local/lib/ /usr/local/lib/
|
||||
COPY --from=go2rtc /rootfs/ /
|
||||
COPY --from=libusb-build /usr/local/lib /usr/local/lib
|
||||
COPY --from=tempio /rootfs/ /
|
||||
COPY --from=s6-overlay /rootfs/ /
|
||||
COPY --from=models /rootfs/ /
|
||||
COPY --from=wheels /rootfs/ /
|
||||
COPY docker/main/rootfs/ /
|
||||
|
||||
|
||||
# Frigate deps (ffmpeg, python, nginx, go2rtc, s6-overlay, etc)
|
||||
FROM slim-base AS deps
|
||||
ARG TARGETARCH
|
||||
ARG BASE_IMAGE
|
||||
|
||||
ARG DEBIAN_FRONTEND
|
||||
# http://stackoverflow.com/questions/48162574/ddg#49462622
|
||||
ARG APT_KEY_DONT_WARN_ON_DANGEROUS_USAGE=DontWarn
|
||||
|
||||
# https://github.com/NVIDIA/nvidia-docker/wiki/Installation-(Native-GPU-Support)
|
||||
ENV NVIDIA_VISIBLE_DEVICES=all
|
||||
ENV NVIDIA_DRIVER_CAPABILITIES="compute,video,utility"
|
||||
|
||||
# Disable tokenizer parallelism warning
|
||||
# https://stackoverflow.com/questions/62691279/how-to-disable-tokenizers-parallelism-true-false-warning/72926996#72926996
|
||||
ENV TOKENIZERS_PARALLELISM=true
|
||||
# https://github.com/huggingface/transformers/issues/27214
|
||||
ENV TRANSFORMERS_NO_ADVISORY_WARNINGS=1
|
||||
|
||||
# Set OpenCV ffmpeg loglevel to fatal: https://ffmpeg.org/doxygen/trunk/log_8h.html
|
||||
ENV OPENCV_FFMPEG_LOGLEVEL=8
|
||||
|
||||
# Set NumPy to ignore getlimits warning
|
||||
ENV PYTHONWARNINGS="ignore:::numpy.core.getlimits"
|
||||
|
||||
# Set HailoRT to disable logging
|
||||
ENV HAILORT_LOGGER_PATH=NONE
|
||||
|
||||
# TensorFlow error only
|
||||
ENV TF_CPP_MIN_LOG_LEVEL=3
|
||||
|
||||
ENV PATH="/usr/local/go2rtc/bin:/usr/local/tempio/bin:/usr/local/nginx/sbin:${PATH}"
|
||||
|
||||
# Install dependencies
|
||||
RUN --mount=type=bind,source=docker/main/install_deps.sh,target=/deps/install_deps.sh \
|
||||
/deps/install_deps.sh
|
||||
|
||||
ENV DEFAULT_FFMPEG_VERSION="7.0"
|
||||
ENV INCLUDED_FFMPEG_VERSIONS="${DEFAULT_FFMPEG_VERSION}:5.0"
|
||||
|
||||
RUN wget -q https://bootstrap.pypa.io/get-pip.py -O get-pip.py \
|
||||
&& sed -i 's/args.append("setuptools")/args.append("setuptools==77.0.3")/' get-pip.py \
|
||||
&& python3 get-pip.py "pip"
|
||||
|
||||
RUN --mount=type=bind,from=wheels,source=/wheels,target=/deps/wheels \
|
||||
pip3 install -U /deps/wheels/*.whl
|
||||
|
||||
# Install MemryX runtime (requires libgomp (OpenMP) in the final docker image)
|
||||
RUN --mount=type=bind,source=docker/main/install_memryx.sh,target=/deps/install_memryx.sh \
|
||||
bash -c "bash /deps/install_memryx.sh"
|
||||
|
||||
COPY --from=deps-rootfs / /
|
||||
|
||||
RUN ldconfig
|
||||
|
||||
EXPOSE 5000
|
||||
EXPOSE 8554
|
||||
EXPOSE 8555/tcp 8555/udp
|
||||
|
||||
# Configure logging to prepend timestamps, log to stdout, keep 0 archives and rotate on 10MB
|
||||
ENV S6_LOGGING_SCRIPT="T 1 n0 s10000000 T"
|
||||
# Do not fail on long-running download scripts
|
||||
ENV S6_CMD_WAIT_FOR_SERVICES_MAXTIME=0
|
||||
|
||||
ENTRYPOINT ["/init"]
|
||||
CMD []
|
||||
|
||||
HEALTHCHECK --start-period=300s --start-interval=5s --interval=15s --timeout=5s --retries=3 \
|
||||
CMD test -f /dev/shm/.frigate-is-stopping && exit 0; curl --fail --silent --show-error http://127.0.0.1:5000/api/version || exit 1
|
||||
|
||||
# Frigate deps with Node.js and NPM for devcontainer
|
||||
FROM deps AS devcontainer
|
||||
|
||||
# Do not start the actual Frigate service on devcontainer as it will be started by VS Code
|
||||
# But start a fake service for simulating the logs
|
||||
COPY docker/main/fake_frigate_run /etc/s6-overlay/s6-rc.d/frigate/run
|
||||
|
||||
# Create symbolic link to the frigate source code, as go2rtc's create_config.sh uses it
|
||||
RUN mkdir -p /opt/frigate \
|
||||
&& ln -svf /workspace/frigate/frigate /opt/frigate/frigate
|
||||
|
||||
# Install Node 20
|
||||
RUN curl -SLO https://deb.nodesource.com/nsolid_setup_deb.sh && \
|
||||
chmod 500 nsolid_setup_deb.sh && \
|
||||
./nsolid_setup_deb.sh 20 && \
|
||||
apt-get install nodejs -y \
|
||||
&& rm -rf /var/lib/apt/lists/* \
|
||||
&& npm install -g npm@10
|
||||
|
||||
WORKDIR /workspace/frigate
|
||||
|
||||
RUN apt-get update \
|
||||
&& apt-get install make -y \
|
||||
&& rm -rf /var/lib/apt/lists/*
|
||||
|
||||
RUN --mount=type=bind,source=./docker/main/requirements-dev.txt,target=/workspace/frigate/requirements-dev.txt \
|
||||
pip3 install -r requirements-dev.txt
|
||||
|
||||
HEALTHCHECK NONE
|
||||
|
||||
CMD ["sleep", "infinity"]
|
||||
|
||||
|
||||
# Frigate web build
|
||||
# This should be architecture agnostic, so speed up the build on multiarch by not using QEMU.
|
||||
FROM --platform=$BUILDPLATFORM node:20 AS web-build
|
||||
|
||||
WORKDIR /work
|
||||
COPY web/package.json web/package-lock.json ./
|
||||
RUN npm install
|
||||
|
||||
COPY web/ ./
|
||||
RUN npm run build \
|
||||
&& mv dist/BASE_PATH/monacoeditorwork/* dist/assets/ \
|
||||
&& rm -rf dist/BASE_PATH
|
||||
|
||||
# Collect final files in a single layer
|
||||
FROM scratch AS rootfs
|
||||
|
||||
WORKDIR /opt/frigate/
|
||||
COPY frigate frigate/
|
||||
COPY migrations migrations/
|
||||
COPY --from=web-build /work/dist/ web/
|
||||
|
||||
# Frigate final container
|
||||
FROM deps AS frigate
|
||||
|
||||
WORKDIR /opt/frigate/
|
||||
COPY --from=rootfs / /
|
||||
86
sam2-cpu/frigate-dev/docker/main/build_nginx.sh
Executable file
86
sam2-cpu/frigate-dev/docker/main/build_nginx.sh
Executable file
@@ -0,0 +1,86 @@
|
||||
#!/bin/bash
|
||||
|
||||
set -euxo pipefail
|
||||
|
||||
NGINX_VERSION="1.27.4"
|
||||
VOD_MODULE_VERSION="1.31"
|
||||
SECURE_TOKEN_MODULE_VERSION="1.5"
|
||||
SET_MISC_MODULE_VERSION="v0.33"
|
||||
NGX_DEVEL_KIT_VERSION="v0.3.3"
|
||||
|
||||
source /etc/os-release
|
||||
|
||||
if [[ "$VERSION_ID" == "12" ]]; then
|
||||
sed -i '/^Types:/s/deb/& deb-src/' /etc/apt/sources.list.d/debian.sources
|
||||
else
|
||||
cp /etc/apt/sources.list /etc/apt/sources.list.d/sources-src.list
|
||||
sed -i 's|deb http|deb-src http|g' /etc/apt/sources.list.d/sources-src.list
|
||||
fi
|
||||
|
||||
apt-get update
|
||||
apt-get -yqq build-dep nginx
|
||||
|
||||
apt-get -yqq install --no-install-recommends ca-certificates wget
|
||||
update-ca-certificates -f
|
||||
apt install -y ccache
|
||||
|
||||
export PATH="/usr/lib/ccache:$PATH"
|
||||
|
||||
mkdir /tmp/nginx
|
||||
wget -nv https://nginx.org/download/nginx-${NGINX_VERSION}.tar.gz
|
||||
tar -zxf nginx-${NGINX_VERSION}.tar.gz -C /tmp/nginx --strip-components=1
|
||||
rm nginx-${NGINX_VERSION}.tar.gz
|
||||
mkdir /tmp/nginx-vod-module
|
||||
wget -nv https://github.com/kaltura/nginx-vod-module/archive/refs/tags/${VOD_MODULE_VERSION}.tar.gz
|
||||
tar -zxf ${VOD_MODULE_VERSION}.tar.gz -C /tmp/nginx-vod-module --strip-components=1
|
||||
rm ${VOD_MODULE_VERSION}.tar.gz
|
||||
# Patch MAX_CLIPS to allow more clips to be added than the default 128
|
||||
sed -i 's/MAX_CLIPS (128)/MAX_CLIPS (1080)/g' /tmp/nginx-vod-module/vod/media_set.h
|
||||
patch -d /tmp/nginx-vod-module/ -p1 << 'EOF'
|
||||
--- a/vod/avc_hevc_parser.c 2022-06-27 11:38:10.000000000 +0000
|
||||
+++ b/vod/avc_hevc_parser.c 2023-01-16 11:25:10.900521298 +0000
|
||||
@@ -3,6 +3,9 @@
|
||||
bool_t
|
||||
avc_hevc_parser_rbsp_trailing_bits(bit_reader_state_t* reader)
|
||||
{
|
||||
+ // https://github.com/blakeblackshear/frigate/issues/4572
|
||||
+ return TRUE;
|
||||
+
|
||||
uint32_t one_bit;
|
||||
|
||||
if (reader->stream.eof_reached)
|
||||
EOF
|
||||
|
||||
|
||||
mkdir /tmp/nginx-secure-token-module
|
||||
wget https://github.com/kaltura/nginx-secure-token-module/archive/refs/tags/${SECURE_TOKEN_MODULE_VERSION}.tar.gz
|
||||
tar -zxf ${SECURE_TOKEN_MODULE_VERSION}.tar.gz -C /tmp/nginx-secure-token-module --strip-components=1
|
||||
rm ${SECURE_TOKEN_MODULE_VERSION}.tar.gz
|
||||
|
||||
mkdir /tmp/ngx_devel_kit
|
||||
wget https://github.com/vision5/ngx_devel_kit/archive/refs/tags/${NGX_DEVEL_KIT_VERSION}.tar.gz
|
||||
tar -zxf ${NGX_DEVEL_KIT_VERSION}.tar.gz -C /tmp/ngx_devel_kit --strip-components=1
|
||||
rm ${NGX_DEVEL_KIT_VERSION}.tar.gz
|
||||
|
||||
mkdir /tmp/nginx-set-misc-module
|
||||
wget https://github.com/openresty/set-misc-nginx-module/archive/refs/tags/${SET_MISC_MODULE_VERSION}.tar.gz
|
||||
tar -zxf ${SET_MISC_MODULE_VERSION}.tar.gz -C /tmp/nginx-set-misc-module --strip-components=1
|
||||
rm ${SET_MISC_MODULE_VERSION}.tar.gz
|
||||
|
||||
cd /tmp/nginx
|
||||
|
||||
./configure --prefix=/usr/local/nginx \
|
||||
--with-file-aio \
|
||||
--with-http_sub_module \
|
||||
--with-http_ssl_module \
|
||||
--with-http_auth_request_module \
|
||||
--with-http_realip_module \
|
||||
--with-threads \
|
||||
--add-module=../ngx_devel_kit \
|
||||
--add-module=../nginx-set-misc-module \
|
||||
--add-module=../nginx-vod-module \
|
||||
--add-module=../nginx-secure-token-module \
|
||||
--with-cc-opt="-O3 -Wno-error=implicit-fallthrough"
|
||||
|
||||
make CC="ccache gcc" -j$(nproc) && make install
|
||||
rm -rf /usr/local/nginx/html /usr/local/nginx/conf/*.default
|
||||
11
sam2-cpu/frigate-dev/docker/main/build_ov_model.py
Normal file
11
sam2-cpu/frigate-dev/docker/main/build_ov_model.py
Normal file
@@ -0,0 +1,11 @@
|
||||
import openvino as ov
|
||||
from openvino.tools import mo
|
||||
|
||||
ov_model = mo.convert_model(
|
||||
"/models/ssdlite_mobilenet_v2_coco_2018_05_09/frozen_inference_graph.pb",
|
||||
compress_to_fp16=True,
|
||||
transformations_config="/usr/local/lib/python3.11/dist-packages/openvino/tools/mo/front/tf/ssd_v2_support.json",
|
||||
tensorflow_object_detection_api_pipeline_config="/models/ssdlite_mobilenet_v2_coco_2018_05_09/pipeline.config",
|
||||
reverse_input_channels=True,
|
||||
)
|
||||
ov.save_model(ov_model, "/models/ssdlite_mobilenet_v2.xml")
|
||||
48
sam2-cpu/frigate-dev/docker/main/build_pysqlite3.sh
Executable file
48
sam2-cpu/frigate-dev/docker/main/build_pysqlite3.sh
Executable file
@@ -0,0 +1,48 @@
|
||||
#!/bin/bash
|
||||
|
||||
set -euxo pipefail
|
||||
|
||||
SQLITE3_VERSION="3.46.1"
|
||||
PYSQLITE3_VERSION="0.5.3"
|
||||
|
||||
# Install libsqlite3-dev if not present (needed for some base images like NVIDIA TensorRT)
|
||||
if ! dpkg -l | grep -q libsqlite3-dev; then
|
||||
echo "Installing libsqlite3-dev for compilation..."
|
||||
apt-get update && apt-get install -y libsqlite3-dev && rm -rf /var/lib/apt/lists/*
|
||||
fi
|
||||
|
||||
# Fetch the pre-built sqlite amalgamation instead of building from source
|
||||
if [[ ! -d "sqlite" ]]; then
|
||||
mkdir sqlite
|
||||
cd sqlite
|
||||
|
||||
# Download the pre-built amalgamation from sqlite.org
|
||||
# For SQLite 3.46.1, the amalgamation version is 3460100
|
||||
SQLITE_AMALGAMATION_VERSION="3460100"
|
||||
|
||||
wget https://www.sqlite.org/2024/sqlite-amalgamation-${SQLITE_AMALGAMATION_VERSION}.zip -O sqlite-amalgamation.zip
|
||||
unzip sqlite-amalgamation.zip
|
||||
mv sqlite-amalgamation-${SQLITE_AMALGAMATION_VERSION}/* .
|
||||
rmdir sqlite-amalgamation-${SQLITE_AMALGAMATION_VERSION}
|
||||
rm sqlite-amalgamation.zip
|
||||
|
||||
cd ../
|
||||
fi
|
||||
|
||||
# Grab the pysqlite3 source code.
|
||||
if [[ ! -d "./pysqlite3" ]]; then
|
||||
git clone https://github.com/coleifer/pysqlite3.git
|
||||
fi
|
||||
|
||||
cd pysqlite3/
|
||||
git checkout ${PYSQLITE3_VERSION}
|
||||
|
||||
# Copy the sqlite3 source amalgamation into the pysqlite3 directory so we can
|
||||
# create a self-contained extension module.
|
||||
cp "../sqlite/sqlite3.c" ./
|
||||
cp "../sqlite/sqlite3.h" ./
|
||||
|
||||
# Create the wheel and put it in the /wheels dir.
|
||||
sed -i "s|name='pysqlite3-binary'|name=PACKAGE_NAME|g" setup.py
|
||||
python3 setup.py build_static
|
||||
pip3 wheel . -w /wheels
|
||||
38
sam2-cpu/frigate-dev/docker/main/build_sqlite_vec.sh
Executable file
38
sam2-cpu/frigate-dev/docker/main/build_sqlite_vec.sh
Executable file
@@ -0,0 +1,38 @@
|
||||
#!/bin/bash
|
||||
|
||||
set -euxo pipefail
|
||||
|
||||
SQLITE_VEC_VERSION="0.1.3"
|
||||
|
||||
source /etc/os-release
|
||||
|
||||
if [[ "$VERSION_ID" == "12" ]]; then
|
||||
sed -i '/^Types:/s/deb/& deb-src/' /etc/apt/sources.list.d/debian.sources
|
||||
else
|
||||
cp /etc/apt/sources.list /etc/apt/sources.list.d/sources-src.list
|
||||
sed -i 's|deb http|deb-src http|g' /etc/apt/sources.list.d/sources-src.list
|
||||
fi
|
||||
|
||||
apt-get update
|
||||
apt-get -yqq build-dep sqlite3 gettext git
|
||||
|
||||
mkdir /tmp/sqlite_vec
|
||||
# Grab the sqlite_vec source code.
|
||||
wget -nv https://github.com/asg017/sqlite-vec/archive/refs/tags/v${SQLITE_VEC_VERSION}.tar.gz
|
||||
tar -zxf v${SQLITE_VEC_VERSION}.tar.gz -C /tmp/sqlite_vec
|
||||
|
||||
cd /tmp/sqlite_vec/sqlite-vec-${SQLITE_VEC_VERSION}
|
||||
|
||||
mkdir -p vendor
|
||||
wget -O sqlite-amalgamation.zip https://www.sqlite.org/2024/sqlite-amalgamation-3450300.zip
|
||||
unzip sqlite-amalgamation.zip
|
||||
mv sqlite-amalgamation-3450300/* vendor/
|
||||
rmdir sqlite-amalgamation-3450300
|
||||
rm sqlite-amalgamation.zip
|
||||
|
||||
# build loadable module
|
||||
make loadable
|
||||
|
||||
# install it
|
||||
cp dist/vec0.* /usr/local/lib
|
||||
|
||||
13
sam2-cpu/frigate-dev/docker/main/fake_frigate_run
Executable file
13
sam2-cpu/frigate-dev/docker/main/fake_frigate_run
Executable file
@@ -0,0 +1,13 @@
|
||||
#!/command/with-contenv bash
|
||||
# shellcheck shell=bash
|
||||
# Start the fake Frigate service
|
||||
|
||||
set -o errexit -o nounset -o pipefail
|
||||
|
||||
# Tell S6-Overlay not to restart this service
|
||||
s6-svc -O .
|
||||
|
||||
while true; do
|
||||
echo "[INFO] The fake Frigate service is running..."
|
||||
sleep 5s
|
||||
done
|
||||
150
sam2-cpu/frigate-dev/docker/main/install_deps.sh
Executable file
150
sam2-cpu/frigate-dev/docker/main/install_deps.sh
Executable file
@@ -0,0 +1,150 @@
|
||||
#!/bin/bash
|
||||
|
||||
set -euxo pipefail
|
||||
|
||||
apt-get -qq update
|
||||
|
||||
apt-get -qq install --no-install-recommends -y \
|
||||
apt-transport-https \
|
||||
ca-certificates \
|
||||
gnupg \
|
||||
wget \
|
||||
lbzip2 \
|
||||
procps vainfo \
|
||||
unzip locales tzdata libxml2 xz-utils \
|
||||
python3.11 \
|
||||
curl \
|
||||
lsof \
|
||||
jq \
|
||||
nethogs \
|
||||
libgl1 \
|
||||
libglib2.0-0 \
|
||||
libusb-1.0.0 \
|
||||
python3-h2 \
|
||||
libgomp1 # memryx detector
|
||||
|
||||
update-alternatives --install /usr/bin/python3 python3 /usr/bin/python3.11 1
|
||||
|
||||
mkdir -p -m 600 /root/.gnupg
|
||||
|
||||
# install coral runtime
|
||||
wget -q -O /tmp/libedgetpu1-max.deb "https://github.com/feranick/libedgetpu/releases/download/16.0TF2.17.1-1/libedgetpu1-max_16.0tf2.17.1-1.bookworm_${TARGETARCH}.deb"
|
||||
unset DEBIAN_FRONTEND
|
||||
yes | dpkg -i /tmp/libedgetpu1-max.deb && export DEBIAN_FRONTEND=noninteractive
|
||||
rm /tmp/libedgetpu1-max.deb
|
||||
|
||||
# install mesa-teflon-delegate from bookworm-backports
|
||||
# Only available for arm64 at the moment
|
||||
if [[ "${TARGETARCH}" == "arm64" ]]; then
|
||||
if [[ "${BASE_IMAGE}" == *"nvcr.io/nvidia/tensorrt"* ]]; then
|
||||
echo "Info: Skipping apt-get commands because BASE_IMAGE includes 'nvcr.io/nvidia/tensorrt' for arm64."
|
||||
else
|
||||
echo "deb http://deb.debian.org/debian bookworm-backports main" | tee /etc/apt/sources.list.d/bookworm-backbacks.list
|
||||
apt-get -qq update
|
||||
apt-get -qq install --no-install-recommends --no-install-suggests -y mesa-teflon-delegate/bookworm-backports
|
||||
fi
|
||||
fi
|
||||
|
||||
# ffmpeg -> amd64
|
||||
if [[ "${TARGETARCH}" == "amd64" ]]; then
|
||||
mkdir -p /usr/lib/ffmpeg/5.0
|
||||
wget -qO ffmpeg.tar.xz "https://github.com/NickM-27/FFmpeg-Builds/releases/download/autobuild-2022-07-31-12-37/ffmpeg-n5.1-2-g915ef932a3-linux64-gpl-5.1.tar.xz"
|
||||
tar -xf ffmpeg.tar.xz -C /usr/lib/ffmpeg/5.0 --strip-components 1 amd64/bin/ffmpeg amd64/bin/ffprobe
|
||||
rm -rf ffmpeg.tar.xz
|
||||
mkdir -p /usr/lib/ffmpeg/7.0
|
||||
wget -qO ffmpeg.tar.xz "https://github.com/NickM-27/FFmpeg-Builds/releases/download/autobuild-2024-09-19-12-51/ffmpeg-n7.0.2-18-g3e6cec1286-linux64-gpl-7.0.tar.xz"
|
||||
tar -xf ffmpeg.tar.xz -C /usr/lib/ffmpeg/7.0 --strip-components 1 amd64/bin/ffmpeg amd64/bin/ffprobe
|
||||
rm -rf ffmpeg.tar.xz
|
||||
fi
|
||||
|
||||
# ffmpeg -> arm64
|
||||
if [[ "${TARGETARCH}" == "arm64" ]]; then
|
||||
mkdir -p /usr/lib/ffmpeg/5.0
|
||||
wget -qO ffmpeg.tar.xz "https://github.com/NickM-27/FFmpeg-Builds/releases/download/autobuild-2022-07-31-12-37/ffmpeg-n5.1-2-g915ef932a3-linuxarm64-gpl-5.1.tar.xz"
|
||||
tar -xf ffmpeg.tar.xz -C /usr/lib/ffmpeg/5.0 --strip-components 1 arm64/bin/ffmpeg arm64/bin/ffprobe
|
||||
rm -f ffmpeg.tar.xz
|
||||
mkdir -p /usr/lib/ffmpeg/7.0
|
||||
wget -qO ffmpeg.tar.xz "https://github.com/NickM-27/FFmpeg-Builds/releases/download/autobuild-2024-09-19-12-51/ffmpeg-n7.0.2-18-g3e6cec1286-linuxarm64-gpl-7.0.tar.xz"
|
||||
tar -xf ffmpeg.tar.xz -C /usr/lib/ffmpeg/7.0 --strip-components 1 arm64/bin/ffmpeg arm64/bin/ffprobe
|
||||
rm -f ffmpeg.tar.xz
|
||||
fi
|
||||
|
||||
# arch specific packages
|
||||
if [[ "${TARGETARCH}" == "amd64" ]]; then
|
||||
# Install non-free version of i965 driver
|
||||
sed -i -E "/^Components: main$/s/main/main contrib non-free non-free-firmware/" "/etc/apt/sources.list.d/debian.sources" \
|
||||
&& apt-get -qq update \
|
||||
&& apt-get install --no-install-recommends --no-install-suggests -y i965-va-driver-shaders \
|
||||
&& sed -i -E "/^Components: main contrib non-free non-free-firmware$/s/main contrib non-free non-free-firmware/main/" "/etc/apt/sources.list.d/debian.sources" \
|
||||
&& apt-get update
|
||||
|
||||
# install amd / intel-i965 driver packages
|
||||
apt-get -qq install --no-install-recommends --no-install-suggests -y \
|
||||
intel-gpu-tools onevpl-tools \
|
||||
libva-drm2 \
|
||||
mesa-va-drivers radeontop
|
||||
|
||||
# intel packages use zst compression so we need to update dpkg
|
||||
apt-get install -y dpkg
|
||||
|
||||
# use intel apt intel packages
|
||||
wget -qO - https://repositories.intel.com/gpu/intel-graphics.key | gpg --yes --dearmor --output /usr/share/keyrings/intel-graphics.gpg
|
||||
echo "deb [arch=amd64 signed-by=/usr/share/keyrings/intel-graphics.gpg] https://repositories.intel.com/gpu/ubuntu jammy client" | tee /etc/apt/sources.list.d/intel-gpu-jammy.list
|
||||
apt-get -qq update
|
||||
apt-get -qq install --no-install-recommends --no-install-suggests -y \
|
||||
intel-media-va-driver-non-free libmfx1 libmfxgen1 libvpl2
|
||||
|
||||
apt-get -qq install -y ocl-icd-libopencl1
|
||||
|
||||
# install libtbb12 for NPU support
|
||||
apt-get -qq install -y libtbb12
|
||||
|
||||
rm -f /usr/share/keyrings/intel-graphics.gpg
|
||||
rm -f /etc/apt/sources.list.d/intel-gpu-jammy.list
|
||||
|
||||
# install legacy and standard intel icd and level-zero-gpu
|
||||
# see https://github.com/intel/compute-runtime/blob/master/LEGACY_PLATFORMS.md for more info
|
||||
# needed core package
|
||||
wget https://github.com/intel/compute-runtime/releases/download/24.52.32224.5/libigdgmm12_22.5.5_amd64.deb
|
||||
dpkg -i libigdgmm12_22.5.5_amd64.deb
|
||||
rm libigdgmm12_22.5.5_amd64.deb
|
||||
|
||||
# legacy packages
|
||||
wget https://github.com/intel/compute-runtime/releases/download/24.35.30872.36/intel-opencl-icd-legacy1_24.35.30872.36_amd64.deb
|
||||
wget https://github.com/intel/compute-runtime/releases/download/24.35.30872.36/intel-level-zero-gpu-legacy1_1.5.30872.36_amd64.deb
|
||||
wget https://github.com/intel/intel-graphics-compiler/releases/download/igc-1.0.17537.24/intel-igc-opencl_1.0.17537.24_amd64.deb
|
||||
wget https://github.com/intel/intel-graphics-compiler/releases/download/igc-1.0.17537.24/intel-igc-core_1.0.17537.24_amd64.deb
|
||||
# standard packages
|
||||
wget https://github.com/intel/compute-runtime/releases/download/24.52.32224.5/intel-opencl-icd_24.52.32224.5_amd64.deb
|
||||
wget https://github.com/intel/compute-runtime/releases/download/24.52.32224.5/intel-level-zero-gpu_1.6.32224.5_amd64.deb
|
||||
wget https://github.com/intel/intel-graphics-compiler/releases/download/v2.5.6/intel-igc-opencl-2_2.5.6+18417_amd64.deb
|
||||
wget https://github.com/intel/intel-graphics-compiler/releases/download/v2.5.6/intel-igc-core-2_2.5.6+18417_amd64.deb
|
||||
# npu packages
|
||||
wget https://github.com/oneapi-src/level-zero/releases/download/v1.21.9/level-zero_1.21.9+u22.04_amd64.deb
|
||||
wget https://github.com/intel/linux-npu-driver/releases/download/v1.17.0/intel-driver-compiler-npu_1.17.0.20250508-14912879441_ubuntu22.04_amd64.deb
|
||||
wget https://github.com/intel/linux-npu-driver/releases/download/v1.17.0/intel-fw-npu_1.17.0.20250508-14912879441_ubuntu22.04_amd64.deb
|
||||
wget https://github.com/intel/linux-npu-driver/releases/download/v1.17.0/intel-level-zero-npu_1.17.0.20250508-14912879441_ubuntu22.04_amd64.deb
|
||||
|
||||
dpkg -i *.deb
|
||||
rm *.deb
|
||||
fi
|
||||
|
||||
if [[ "${TARGETARCH}" == "arm64" ]]; then
|
||||
apt-get -qq install --no-install-recommends --no-install-suggests -y \
|
||||
libva-drm2 mesa-va-drivers radeontop
|
||||
fi
|
||||
|
||||
# install vulkan
|
||||
apt-get -qq install --no-install-recommends --no-install-suggests -y \
|
||||
libvulkan1 mesa-vulkan-drivers
|
||||
|
||||
apt-get purge gnupg apt-transport-https xz-utils -y
|
||||
apt-get clean autoclean -y
|
||||
apt-get autoremove --purge -y
|
||||
rm -rf /var/lib/apt/lists/*
|
||||
|
||||
# Install yq, for frigate-prepare and go2rtc echo source
|
||||
curl -fsSL \
|
||||
"https://github.com/mikefarah/yq/releases/download/v4.48.2/yq_linux_$(dpkg --print-architecture)" \
|
||||
--output /usr/local/bin/yq
|
||||
chmod +x /usr/local/bin/yq
|
||||
14
sam2-cpu/frigate-dev/docker/main/install_hailort.sh
Executable file
14
sam2-cpu/frigate-dev/docker/main/install_hailort.sh
Executable file
@@ -0,0 +1,14 @@
|
||||
#!/bin/bash
|
||||
|
||||
set -euxo pipefail
|
||||
|
||||
hailo_version="4.21.0"
|
||||
|
||||
if [[ "${TARGETARCH}" == "amd64" ]]; then
|
||||
arch="x86_64"
|
||||
elif [[ "${TARGETARCH}" == "arm64" ]]; then
|
||||
arch="aarch64"
|
||||
fi
|
||||
|
||||
wget -qO- "https://github.com/frigate-nvr/hailort/releases/download/v${hailo_version}/hailort-debian12-${TARGETARCH}.tar.gz" | tar -C / -xzf -
|
||||
wget -P /wheels/ "https://github.com/frigate-nvr/hailort/releases/download/v${hailo_version}/hailort-${hailo_version}-cp311-cp311-linux_${arch}.whl"
|
||||
31
sam2-cpu/frigate-dev/docker/main/install_memryx.sh
Normal file
31
sam2-cpu/frigate-dev/docker/main/install_memryx.sh
Normal file
@@ -0,0 +1,31 @@
|
||||
#!/bin/bash
|
||||
set -e
|
||||
|
||||
# Download the MxAccl for Frigate github release
|
||||
wget https://github.com/memryx/mx_accl_frigate/archive/refs/tags/v2.1.0.zip -O /tmp/mxaccl.zip
|
||||
unzip /tmp/mxaccl.zip -d /tmp
|
||||
mv /tmp/mx_accl_frigate-2.1.0 /opt/mx_accl_frigate
|
||||
rm /tmp/mxaccl.zip
|
||||
|
||||
# Install Python dependencies
|
||||
pip3 install -r /opt/mx_accl_frigate/freeze
|
||||
|
||||
# Link the Python package dynamically
|
||||
SITE_PACKAGES=$(python3 -c "import site; print(site.getsitepackages()[0])")
|
||||
ln -s /opt/mx_accl_frigate/memryx "$SITE_PACKAGES/memryx"
|
||||
|
||||
# Copy architecture-specific shared libraries
|
||||
ARCH=$(uname -m)
|
||||
if [[ "$ARCH" == "x86_64" ]]; then
|
||||
cp /opt/mx_accl_frigate/memryx/x86/libmemx.so* /usr/lib/x86_64-linux-gnu/
|
||||
cp /opt/mx_accl_frigate/memryx/x86/libmx_accl.so* /usr/lib/x86_64-linux-gnu/
|
||||
elif [[ "$ARCH" == "aarch64" ]]; then
|
||||
cp /opt/mx_accl_frigate/memryx/arm/libmemx.so* /usr/lib/aarch64-linux-gnu/
|
||||
cp /opt/mx_accl_frigate/memryx/arm/libmx_accl.so* /usr/lib/aarch64-linux-gnu/
|
||||
else
|
||||
echo "Unsupported architecture: $ARCH"
|
||||
exit 1
|
||||
fi
|
||||
|
||||
# Refresh linker cache
|
||||
ldconfig
|
||||
19
sam2-cpu/frigate-dev/docker/main/install_s6_overlay.sh
Executable file
19
sam2-cpu/frigate-dev/docker/main/install_s6_overlay.sh
Executable file
@@ -0,0 +1,19 @@
|
||||
#!/bin/bash
|
||||
|
||||
set -euxo pipefail
|
||||
|
||||
s6_version="3.2.1.0"
|
||||
|
||||
if [[ "${TARGETARCH}" == "amd64" ]]; then
|
||||
s6_arch="x86_64"
|
||||
elif [[ "${TARGETARCH}" == "arm64" ]]; then
|
||||
s6_arch="aarch64"
|
||||
fi
|
||||
|
||||
mkdir -p /rootfs/
|
||||
|
||||
wget -qO- "https://github.com/just-containers/s6-overlay/releases/download/v${s6_version}/s6-overlay-noarch.tar.xz" |
|
||||
tar -C /rootfs/ -Jxpf -
|
||||
|
||||
wget -qO- "https://github.com/just-containers/s6-overlay/releases/download/v${s6_version}/s6-overlay-${s6_arch}.tar.xz" |
|
||||
tar -C /rootfs/ -Jxpf -
|
||||
16
sam2-cpu/frigate-dev/docker/main/install_tempio.sh
Executable file
16
sam2-cpu/frigate-dev/docker/main/install_tempio.sh
Executable file
@@ -0,0 +1,16 @@
|
||||
#!/bin/bash
|
||||
|
||||
set -euxo pipefail
|
||||
|
||||
tempio_version="2021.09.0"
|
||||
|
||||
if [[ "${TARGETARCH}" == "amd64" ]]; then
|
||||
arch="amd64"
|
||||
elif [[ "${TARGETARCH}" == "arm64" ]]; then
|
||||
arch="aarch64"
|
||||
fi
|
||||
|
||||
mkdir -p /rootfs/usr/local/tempio/bin
|
||||
|
||||
wget -q -O /rootfs/usr/local/tempio/bin/tempio "https://github.com/home-assistant/tempio/releases/download/${tempio_version}/tempio_${arch}"
|
||||
chmod 755 /rootfs/usr/local/tempio/bin/tempio
|
||||
4
sam2-cpu/frigate-dev/docker/main/requirements-dev.txt
Normal file
4
sam2-cpu/frigate-dev/docker/main/requirements-dev.txt
Normal file
@@ -0,0 +1,4 @@
|
||||
ruff
|
||||
|
||||
# types
|
||||
types-peewee == 3.17.*
|
||||
3
sam2-cpu/frigate-dev/docker/main/requirements-ov.txt
Normal file
3
sam2-cpu/frigate-dev/docker/main/requirements-ov.txt
Normal file
@@ -0,0 +1,3 @@
|
||||
numpy
|
||||
tensorflow
|
||||
openvino-dev>=2024.0.0
|
||||
85
sam2-cpu/frigate-dev/docker/main/requirements-wheels.txt
Normal file
85
sam2-cpu/frigate-dev/docker/main/requirements-wheels.txt
Normal file
@@ -0,0 +1,85 @@
|
||||
aiofiles == 24.1.*
|
||||
click == 8.1.*
|
||||
# FastAPI
|
||||
aiohttp == 3.12.*
|
||||
starlette == 0.47.*
|
||||
starlette-context == 0.4.*
|
||||
fastapi[standard-no-fastapi-cloud-cli] == 0.116.*
|
||||
uvicorn == 0.35.*
|
||||
slowapi == 0.1.*
|
||||
joserfc == 1.2.*
|
||||
cryptography == 44.0.*
|
||||
pathvalidate == 3.3.*
|
||||
markupsafe == 3.0.*
|
||||
python-multipart == 0.0.20
|
||||
# Classification Model Training
|
||||
tensorflow == 2.19.* ; platform_machine == 'aarch64'
|
||||
tensorflow-cpu == 2.19.* ; platform_machine == 'x86_64'
|
||||
# General
|
||||
mypy == 1.6.1
|
||||
onvif-zeep-async == 4.0.*
|
||||
paho-mqtt == 2.1.*
|
||||
pandas == 2.2.*
|
||||
peewee == 3.17.*
|
||||
peewee_migrate == 1.14.*
|
||||
psutil == 7.1.*
|
||||
pydantic == 2.10.*
|
||||
git+https://github.com/fbcotter/py3nvml#egg=py3nvml
|
||||
pytz == 2025.*
|
||||
pyzmq == 26.2.*
|
||||
ruamel.yaml == 0.18.*
|
||||
tzlocal == 5.2
|
||||
requests == 2.32.*
|
||||
types-requests == 2.32.*
|
||||
norfair == 2.3.*
|
||||
setproctitle == 1.3.*
|
||||
ws4py == 0.5.*
|
||||
unidecode == 1.3.*
|
||||
titlecase == 2.4.*
|
||||
# Image Manipulation
|
||||
numpy == 1.26.*
|
||||
opencv-python-headless == 4.11.0.*
|
||||
opencv-contrib-python == 4.11.0.*
|
||||
scipy == 1.16.*
|
||||
# OpenVino & ONNX
|
||||
openvino == 2025.3.*
|
||||
onnxruntime == 1.22.*
|
||||
# Embeddings
|
||||
transformers == 4.45.*
|
||||
# Generative AI
|
||||
google-generativeai == 0.8.*
|
||||
ollama == 0.5.*
|
||||
openai == 1.65.*
|
||||
# push notifications
|
||||
py-vapid == 1.9.*
|
||||
pywebpush == 2.0.*
|
||||
# alpr
|
||||
pyclipper == 1.3.*
|
||||
shapely == 2.0.*
|
||||
rapidfuzz==3.12.*
|
||||
# HailoRT Wheels
|
||||
appdirs==1.4.*
|
||||
argcomplete==2.0.*
|
||||
contextlib2==0.6.*
|
||||
distlib==0.3.*
|
||||
filelock==3.8.*
|
||||
future==0.18.*
|
||||
importlib-metadata==5.1.*
|
||||
importlib-resources==5.1.*
|
||||
netaddr==0.8.*
|
||||
netifaces==0.10.*
|
||||
verboselogs==1.7.*
|
||||
virtualenv==20.17.*
|
||||
prometheus-client == 0.21.*
|
||||
# TFLite
|
||||
tflite_runtime @ https://github.com/frigate-nvr/TFlite-builds/releases/download/v2.17.1/tflite_runtime-2.17.1-cp311-cp311-linux_x86_64.whl; platform_machine == 'x86_64'
|
||||
tflite_runtime @ https://github.com/feranick/TFlite-builds/releases/download/v2.17.1/tflite_runtime-2.17.1-cp311-cp311-linux_aarch64.whl; platform_machine == 'aarch64'
|
||||
# audio transcription
|
||||
sherpa-onnx==1.12.*
|
||||
faster-whisper==1.1.*
|
||||
librosa==0.11.*
|
||||
soundfile==0.13.*
|
||||
# DeGirum detector
|
||||
degirum == 0.16.*
|
||||
# Memory profiling
|
||||
memray == 1.15.*
|
||||
1
sam2-cpu/frigate-dev/docker/main/requirements.txt
Normal file
1
sam2-cpu/frigate-dev/docker/main/requirements.txt
Normal file
@@ -0,0 +1 @@
|
||||
scikit-build == 0.18.*
|
||||
@@ -0,0 +1 @@
|
||||
certsync
|
||||
@@ -0,0 +1 @@
|
||||
certsync-pipeline
|
||||
@@ -0,0 +1,4 @@
|
||||
#!/command/with-contenv bash
|
||||
# shellcheck shell=bash
|
||||
|
||||
exec logutil-service /dev/shm/logs/certsync
|
||||
@@ -0,0 +1 @@
|
||||
longrun
|
||||
@@ -0,0 +1,30 @@
|
||||
#!/command/with-contenv bash
|
||||
# shellcheck shell=bash
|
||||
# Take down the S6 supervision tree when the service fails
|
||||
|
||||
set -o errexit -o nounset -o pipefail
|
||||
|
||||
# Logs should be sent to stdout so that s6 can collect them
|
||||
|
||||
declare exit_code_container
|
||||
exit_code_container=$(cat /run/s6-linux-init-container-results/exitcode)
|
||||
readonly exit_code_container
|
||||
readonly exit_code_service="${1}"
|
||||
readonly exit_code_signal="${2}"
|
||||
readonly service="CERTSYNC"
|
||||
|
||||
echo "[INFO] Service ${service} exited with code ${exit_code_service} (by signal ${exit_code_signal})"
|
||||
|
||||
if [[ "${exit_code_service}" -eq 256 ]]; then
|
||||
if [[ "${exit_code_container}" -eq 0 ]]; then
|
||||
echo $((128 + exit_code_signal)) >/run/s6-linux-init-container-results/exitcode
|
||||
fi
|
||||
if [[ "${exit_code_signal}" -eq 15 ]]; then
|
||||
exec /run/s6/basedir/bin/halt
|
||||
fi
|
||||
elif [[ "${exit_code_service}" -ne 0 ]]; then
|
||||
if [[ "${exit_code_container}" -eq 0 ]]; then
|
||||
echo "${exit_code_service}" >/run/s6-linux-init-container-results/exitcode
|
||||
fi
|
||||
exec /run/s6/basedir/bin/halt
|
||||
fi
|
||||
@@ -0,0 +1 @@
|
||||
certsync-log
|
||||
58
sam2-cpu/frigate-dev/docker/main/rootfs/etc/s6-overlay/s6-rc.d/certsync/run
Executable file
58
sam2-cpu/frigate-dev/docker/main/rootfs/etc/s6-overlay/s6-rc.d/certsync/run
Executable file
@@ -0,0 +1,58 @@
|
||||
#!/command/with-contenv bash
|
||||
# shellcheck shell=bash
|
||||
# Start the CERTSYNC service
|
||||
|
||||
set -o errexit -o nounset -o pipefail
|
||||
|
||||
# Logs should be sent to stdout so that s6 can collect them
|
||||
|
||||
echo "[INFO] Starting certsync..."
|
||||
|
||||
lefile="/etc/letsencrypt/live/frigate/fullchain.pem"
|
||||
|
||||
tls_enabled=`python3 /usr/local/nginx/get_listen_settings.py | jq -r .tls.enabled`
|
||||
|
||||
while true
|
||||
do
|
||||
if [[ "$tls_enabled" == 'false' ]]; then
|
||||
sleep 9999
|
||||
continue
|
||||
fi
|
||||
|
||||
if [ ! -e $lefile ]
|
||||
then
|
||||
echo "[ERROR] TLS certificate does not exist: $lefile"
|
||||
fi
|
||||
|
||||
leprint=`openssl x509 -in $lefile -fingerprint -noout 2>&1 || echo 'failed'`
|
||||
|
||||
case "$leprint" in
|
||||
*Fingerprint*)
|
||||
;;
|
||||
*)
|
||||
echo "[ERROR] Missing fingerprint from $lefile"
|
||||
;;
|
||||
esac
|
||||
|
||||
liveprint=`echo | openssl s_client -showcerts -connect 127.0.0.1:8971 2>&1 | openssl x509 -fingerprint 2>&1 | grep -i fingerprint || echo 'failed'`
|
||||
|
||||
case "$liveprint" in
|
||||
*Fingerprint*)
|
||||
;;
|
||||
*)
|
||||
echo "[ERROR] Missing fingerprint from current nginx TLS cert"
|
||||
;;
|
||||
esac
|
||||
|
||||
if [[ "$leprint" != "failed" && "$liveprint" != "failed" && "$leprint" != "$liveprint" ]]
|
||||
then
|
||||
echo "[INFO] Reloading nginx to refresh TLS certificate"
|
||||
echo "$lefile: $leprint"
|
||||
/usr/local/nginx/sbin/nginx -s reload
|
||||
fi
|
||||
|
||||
sleep 60
|
||||
|
||||
done
|
||||
|
||||
exit 0
|
||||
@@ -0,0 +1 @@
|
||||
30000
|
||||
@@ -0,0 +1 @@
|
||||
longrun
|
||||
@@ -0,0 +1 @@
|
||||
frigate
|
||||
@@ -0,0 +1 @@
|
||||
frigate-pipeline
|
||||
@@ -0,0 +1,4 @@
|
||||
#!/command/with-contenv bash
|
||||
# shellcheck shell=bash
|
||||
|
||||
exec logutil-service /dev/shm/logs/frigate
|
||||
@@ -0,0 +1 @@
|
||||
longrun
|
||||
@@ -0,0 +1,28 @@
|
||||
#!/command/with-contenv bash
|
||||
# shellcheck shell=bash
|
||||
# Take down the S6 supervision tree when the service exits
|
||||
|
||||
set -o errexit -o nounset -o pipefail
|
||||
|
||||
# Logs should be sent to stdout so that s6 can collect them
|
||||
|
||||
declare exit_code_container
|
||||
exit_code_container=$(cat /run/s6-linux-init-container-results/exitcode)
|
||||
readonly exit_code_container
|
||||
readonly exit_code_service="${1}"
|
||||
readonly exit_code_signal="${2}"
|
||||
readonly service="Frigate"
|
||||
|
||||
echo "[INFO] Service ${service} exited with code ${exit_code_service} (by signal ${exit_code_signal})"
|
||||
|
||||
if [[ "${exit_code_service}" -eq 256 ]]; then
|
||||
if [[ "${exit_code_container}" -eq 0 ]]; then
|
||||
echo $((128 + exit_code_signal)) >/run/s6-linux-init-container-results/exitcode
|
||||
fi
|
||||
elif [[ "${exit_code_service}" -ne 0 ]]; then
|
||||
if [[ "${exit_code_container}" -eq 0 ]]; then
|
||||
echo "${exit_code_service}" >/run/s6-linux-init-container-results/exitcode
|
||||
fi
|
||||
fi
|
||||
|
||||
exec /run/s6/basedir/bin/halt
|
||||
@@ -0,0 +1 @@
|
||||
frigate-log
|
||||
33
sam2-cpu/frigate-dev/docker/main/rootfs/etc/s6-overlay/s6-rc.d/frigate/run
Executable file
33
sam2-cpu/frigate-dev/docker/main/rootfs/etc/s6-overlay/s6-rc.d/frigate/run
Executable file
@@ -0,0 +1,33 @@
|
||||
#!/command/with-contenv bash
|
||||
# shellcheck shell=bash
|
||||
# Start the Frigate service
|
||||
|
||||
set -o errexit -o nounset -o pipefail
|
||||
|
||||
# opt out of openvino telemetry
|
||||
if [ -e /usr/local/bin/opt_in_out ]; then
|
||||
/usr/local/bin/opt_in_out --opt_out > /dev/null 2>&1
|
||||
fi
|
||||
|
||||
# Logs should be sent to stdout so that s6 can collect them
|
||||
|
||||
# Tell S6-Overlay not to restart this service
|
||||
s6-svc -O .
|
||||
|
||||
function set_libva_version() {
|
||||
local ffmpeg_path
|
||||
ffmpeg_path=$(python3 /usr/local/ffmpeg/get_ffmpeg_path.py)
|
||||
LIBAVFORMAT_VERSION_MAJOR=$("$ffmpeg_path" -version | grep -Po "libavformat\W+\K\d+")
|
||||
export LIBAVFORMAT_VERSION_MAJOR
|
||||
}
|
||||
|
||||
echo "[INFO] Preparing Frigate..."
|
||||
set_libva_version
|
||||
|
||||
echo "[INFO] Starting Frigate..."
|
||||
|
||||
cd /opt/frigate || echo "[ERROR] Failed to change working directory to /opt/frigate"
|
||||
|
||||
# Replace the bash process with the Frigate process, redirecting stderr to stdout
|
||||
exec 2>&1
|
||||
exec python3 -u -m frigate
|
||||
@@ -0,0 +1 @@
|
||||
120000
|
||||
@@ -0,0 +1 @@
|
||||
longrun
|
||||
@@ -0,0 +1,12 @@
|
||||
#!/command/with-contenv bash
|
||||
# shellcheck shell=bash
|
||||
|
||||
set -o errexit -o nounset -o pipefail
|
||||
|
||||
# Logs should be sent to stdout so that s6 can collect them
|
||||
|
||||
readonly exit_code_service="${1}"
|
||||
readonly exit_code_signal="${2}"
|
||||
readonly service="go2rtc-healthcheck"
|
||||
|
||||
echo "[INFO] The ${service} service exited with code ${exit_code_service} (by signal ${exit_code_signal})"
|
||||
@@ -0,0 +1 @@
|
||||
go2rtc-log
|
||||
@@ -0,0 +1,22 @@
|
||||
#!/command/with-contenv bash
|
||||
# shellcheck shell=bash
|
||||
# Start the go2rtc-healthcheck service
|
||||
|
||||
set -o errexit -o nounset -o pipefail
|
||||
|
||||
# Logs should be sent to stdout so that s6 can collect them
|
||||
|
||||
# Give some additional time for go2rtc to start before start pinging
|
||||
sleep 10s
|
||||
echo "[INFO] Starting go2rtc healthcheck service..."
|
||||
|
||||
while sleep 30s; do
|
||||
# Check if the service is running
|
||||
if ! curl --connect-timeout 10 --fail --silent --show-error --output /dev/null http://127.0.0.1:1984/api/streams 2>&1; then
|
||||
echo "[ERROR] The go2rtc service is not responding to ping, restarting..."
|
||||
# We can also use -r instead of -t to send kill signal rather than term
|
||||
s6-svc -t /var/run/service/go2rtc 2>&1
|
||||
# Give some additional time to go2rtc to restart before start pinging again
|
||||
sleep 10s
|
||||
fi
|
||||
done
|
||||
@@ -0,0 +1 @@
|
||||
5000
|
||||
@@ -0,0 +1 @@
|
||||
longrun
|
||||
@@ -0,0 +1,2 @@
|
||||
go2rtc
|
||||
go2rtc-healthcheck
|
||||
@@ -0,0 +1 @@
|
||||
go2rtc-pipeline
|
||||
@@ -0,0 +1,4 @@
|
||||
#!/command/with-contenv bash
|
||||
# shellcheck shell=bash
|
||||
|
||||
exec logutil-service /dev/shm/logs/go2rtc
|
||||
@@ -0,0 +1 @@
|
||||
longrun
|
||||
Some files were not shown because too many files have changed in this diff Show More
Reference in New Issue
Block a user