proitlab
010f6e1493
- Add engine_utils for TensorRT compatibility verification, auto-recompilation from .pt models, and YAML auto-updates - Add mortality detection pipeline (mortality.py, test_run_mortality.sh, mortality_config.yaml) - Add multi-execution batch modes (parallel_processes, tensor_batching, hybrid) in batch_runner.py - Add daily test run automation scripts and video processing runners - Add dashboard REST API, live stream endpoints, and web UI templates - Clean up git tracking by ignoring __pycache__, .pyc, and build artifacts
14 lines
620 B
YAML
14 lines
620 B
YAML
# Configuration for Mortality Chicken Carcass Detection & Counting
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mortality:
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input_dir: "../VIDEOS/cycle7/kandang-atas/mortality"
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output_dir: null # null = save output_<File Name> in input directory
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model_path: "models/chicken-detection-model-v26n-seg-300e-best-2026-04-18.pt"
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device: "0" # "0" for GPU acceleration, or "cpu"
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conf: 0.7
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iou: 0.8
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min_box_area_px: 1500
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dedupe_radius_px: 30.0
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two_pass: false # Enable Union 2x Detect & Refine crop pipeline
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classes: [0] # Class 0 = chicken ONLY; ignores background/text/equipment (classes 1 not-chicken, 2 half-chicken)
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imgsz: 640
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