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Oleksandr Bezdieniezhnykh
142c6c4de8
- Replaced module-level path variables in constants.py with a structured Pydantic Config class. - Updated all relevant modules (train.py, augmentation.py, exports.py, dataset-visualiser.py, manual_run.py) to access paths through the new config structure. - Fixed bugs related to image processing and model saving. - Enhanced test infrastructure to accommodate the new configuration approach. This refactor improves code maintainability and clarity by centralizing configuration management.
7 lines
460 B
Markdown
7 lines
460 B
Markdown
1. update yolo to 26m version
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2. don't use external augmentation, use built-in in yolo, put additional parameters for that in train command, each parameter should be on its own line with a proper comment
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3. because of that, we don't need processed folder, just use data dir.
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4. do not copy the files itself to dataset folder, use hard simlynks for that
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5. unify constants directories in config - remove annotations-queue/config.yaml
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and use constants for that
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