93 lines
1.9 KiB
Plaintext
93 lines
1.9 KiB
Plaintext
# Python caches
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__pycache__/
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*.py[cod]
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*$py.class
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.pytest_cache/
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.mypy_cache/
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.ruff_cache/
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.ipynb_checkpoints/
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# Conda / virtual environments
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.conda/
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.venv/
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venv/
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env/
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# Build artifacts
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build/
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dist/
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*.egg-info/
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# Logs and temporary files
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*.log
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.goutputstream-*
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*~
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*.tmp
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*.bak
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*.swp
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logs_parallel_*/
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predict_logs_parallel_*/
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yolo_train_logs_parallel_*/
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yolo_predict_logs_parallel_*/
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wandb/
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mlruns/
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.cache/
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tmp/
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temp/
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# Large datasets, predictions, training outputs, and backups
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DataSet_Public/
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DataSet_Public_outputs/
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BestMode_Predict_Results_DataSet_Public/
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Hardisk/
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Nas_BackUp_Seg/
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# Keep DataSet_Own preprocessing code/manuals, ignore actual image data
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DataSet_Own/*
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!DataSet_Own/1. 图片预处理（内含使用手册）/
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!DataSet_Own/1. 图片预处理（内含使用手册）/**
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DataSet_Own/1. 图片预处理（内含使用手册）/error*.txt
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# Local model caches and heavy pretrained weights
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Seg_All_In_One_MMSeg/My_Local_Model/
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Seg_All_In_One_MMSeg/work_dirs/
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Seg_All_In_One_MMSeg/flops_results/
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Seg_All_In_One_MMSeg/tests/data/
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# Generated analysis figures; keep CSV/SVG summaries
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Seg_All_In_One_Analysis/*/*.png
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# Demo/output media and generated visual data
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Seg_Predict_Own_Video_V2/*.mp4
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Seg_Predict_YoloModel/*.mp4
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Seg_Predict_YoloModel/output_*/
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Seg_Predict_YoloModel/YOLO*/
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Seg_All_In_One_YoloModel/Yolo数据集构建/Data/
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Seg_All_In_One_YoloModel/Yolo数据集构建/Label/
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Seg_All_In_One_YoloModel/Yolo数据集构建/ORI/
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Seg_All_In_One_YoloModel/Yolo数据集构建/ORI_GT_label_fold/
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Seg_All_In_One_YoloModel/Yolo数据集构建/ORI_pro_label_fold/
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Tool-图片堆叠/ori/
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Tool-图片堆叠/label/
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Tool-图片堆叠/result_*/
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Tool-可视化/Data/
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Tool-可视化/runs/
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Tool-可视化/0_图片Labels生成/save_*_label_fold/
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Tool-可视化/0_图片Labels生成/*.png
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# Large model/video/archive formats
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*.pt
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*.pth
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*.onnx
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*.engine
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*.mp4
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*.avi
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*.mov
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*.mkv
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*.zip
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*.tar
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*.tar.gz
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*.tgz
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*.7z
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*.rar
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