UI improvements
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@ -104,7 +104,7 @@ python train_model.py --framework yolov6 --dataset dataset_prepared --output run
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# Convert trained model for edge deployment
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python convert_for_deployment.py --model runs/training/weights/best.pt --output oak_d_deployment --img-size 640
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# See TRAINING_README.md for deployment instructions
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# See OAK_D_WORKFLOW_README.md for complete labeling, training, and deployment workflow
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```
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## 📁 Project Structure
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@ -115,6 +115,7 @@ saw_mill_knot_detection/
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├── run_tk_gui.sh # Convenience launcher
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├── train_model.py # Unified training script for all frameworks
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├── convert_for_deployment.py # Model conversion for OAK-D deployment
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├── OAK_D_WORKFLOW_README.md # Complete workflow guide for OAK-D deployment
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├── TRAINING_README.md # Detailed training and deployment guide
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├── setup_datasets.py # Multi-format dataset setup script
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├── split_coco_dataset.py # Dataset splitting utility
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