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database:
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path: data/detections.db
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image_repository:
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base_path: ''
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allowed_extensions:
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- .jpg
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- .jpeg
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- .png
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- .tif
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- .tiff
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- .bmp
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models:
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default_base_model: yolov8s-seg.pt
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models_directory: data/models
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base_model_choices:
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- yolov8s-seg.pt
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- yolo11s-seg.pt
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training:
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default_epochs: 100
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default_batch_size: 16
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default_imgsz: 1024
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default_patience: 50
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default_lr0: 0.01
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two_stage:
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enabled: false
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stage1:
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epochs: 20
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lr0: 0.0005
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patience: 10
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freeze: 10
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stage2:
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epochs: 150
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lr0: 0.0003
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patience: 30
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last_dataset_yaml: /home/martin/code/object_detection/data/datasets/data.yaml
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last_dataset_dir: /home/martin/code/object_detection/data/datasets
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detection:
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default_confidence: 0.25
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default_iou: 0.45
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max_batch_size: 100
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visualization:
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bbox_colors:
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organelle: '#FF6B6B'
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membrane_branch: '#4ECDC4'
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default: '#00FF00'
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bbox_thickness: 2
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font_size: 12
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export:
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formats:
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- csv
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- json
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- excel
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default_format: csv
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logging:
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level: INFO
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file: logs/app.log
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format: '%(asctime)s - %(name)s - %(levelname)s - %(message)s'
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