docs: update README and RUN guides with engine auto-recompilation details
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@@ -26,6 +26,8 @@ visual.
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configs/
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cameras/example_camera.yaml
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cycle7_batch.yaml
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cycle7_batch_optimized.yaml
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mortality_config.yaml
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trackers/botsort_chicken.yaml
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src/chicken_counter/
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batch_discovery.py
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@@ -35,6 +37,8 @@ src/chicken_counter/
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compress.py
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config.py
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counting.py
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engine_utils.py
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mortality.py
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motion.py
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overlay.py
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pipeline.py
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@@ -42,6 +46,9 @@ src/chicken_counter/
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tracking.py
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types.py
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video_writer.py
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dashboard.py
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export_engine.py
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export_excel_report.py
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```
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## Install
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@@ -223,6 +230,20 @@ for tuning.
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- The optical-flow trigger is vision-first, though the config structure leaves room for
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a future controller/encoder integration path
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## Cross-Machine Portability & Self-Healing Engine Auto-Recompilation
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TensorRT `.engine` files are compiled specifically for the host GPU architecture and TensorRT version. When copying the project to a different machine (e.g. from Jetson to NUC or across different RTX GPUs):
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- **Automatic Compatibility Check**: `src/chicken_counter/engine_utils.py` runs a fast health check on the specified `.engine` before counting starts.
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- **Self-Healing Recompilation**: If an incompatibility (e.g. platform tag mismatch or different compute capability) is detected:
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1. The system automatically searches `models/` for the matching base `.pt` model weights (stripping hardware prefixes like `NUC5070_` or `jetson_`).
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2. Automatically compiles a new optimized `.engine` on the host machine using FP16 precision.
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3. Updates `defaults.detection.model_path` in `configs/cycle7_batch_optimized.yaml` automatically.
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- **Manual Export Tool**: You can also compile engines manually anytime using `export_engine.py`:
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```bash
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./venv/bin/python export_engine.py models/chicken-detection-model-v26n-300e-best-2026-05-02-NEW.pt --half --workspace 4
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```
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## Multi-Stage Growth Cycles & Day 0 Configuration
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The pipeline dynamically adjusts detection and ROI entry thresholds based on flock age (Days Old Chick / DOC vs Mid-Cycle):
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