├── LICENSE ├── README.md ├── code ├── 01_read_convert_tags.ipynb ├── 02_2_try_cut_pic.ipynb ├── 03_run_yolo_train.ipynb ├── 04_multiproc_try_cut_target_pic.py ├── 04_try_cut_target_pic.ipynb ├── 05_run_yolo_predict.ipynb ├── 06_combine_target_labels.ipynb └── yolov5.zip ├── prediction_result └── foo.txt ├── requirements.txt └── user_data ├── round1_testA_sliced_all_1280 └── fold_structure_example.txt └── round1_testA_sliced_all_320 ├── images └── foo.png └── labels └── foo.txt /LICENSE: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ccjaread/tianchi_tile_defect_detection/HEAD/LICENSE -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ccjaread/tianchi_tile_defect_detection/HEAD/README.md -------------------------------------------------------------------------------- /code/01_read_convert_tags.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ccjaread/tianchi_tile_defect_detection/HEAD/code/01_read_convert_tags.ipynb -------------------------------------------------------------------------------- /code/02_2_try_cut_pic.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ccjaread/tianchi_tile_defect_detection/HEAD/code/02_2_try_cut_pic.ipynb -------------------------------------------------------------------------------- /code/03_run_yolo_train.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ccjaread/tianchi_tile_defect_detection/HEAD/code/03_run_yolo_train.ipynb -------------------------------------------------------------------------------- /code/04_multiproc_try_cut_target_pic.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ccjaread/tianchi_tile_defect_detection/HEAD/code/04_multiproc_try_cut_target_pic.py -------------------------------------------------------------------------------- /code/04_try_cut_target_pic.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ccjaread/tianchi_tile_defect_detection/HEAD/code/04_try_cut_target_pic.ipynb -------------------------------------------------------------------------------- /code/05_run_yolo_predict.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ccjaread/tianchi_tile_defect_detection/HEAD/code/05_run_yolo_predict.ipynb -------------------------------------------------------------------------------- /code/06_combine_target_labels.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ccjaread/tianchi_tile_defect_detection/HEAD/code/06_combine_target_labels.ipynb -------------------------------------------------------------------------------- /code/yolov5.zip: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ccjaread/tianchi_tile_defect_detection/HEAD/code/yolov5.zip -------------------------------------------------------------------------------- /prediction_result/foo.txt: -------------------------------------------------------------------------------- 1 | 2 | -------------------------------------------------------------------------------- /requirements.txt: -------------------------------------------------------------------------------- 1 | pytorch 1.6.0+cu101 2 | yolov5 3 | opencv -------------------------------------------------------------------------------- /user_data/round1_testA_sliced_all_1280/fold_structure_example.txt: -------------------------------------------------------------------------------- 1 | 2 | -------------------------------------------------------------------------------- /user_data/round1_testA_sliced_all_320/images/foo.png: -------------------------------------------------------------------------------- 1 | 2 | -------------------------------------------------------------------------------- /user_data/round1_testA_sliced_all_320/labels/foo.txt: -------------------------------------------------------------------------------- 1 | 2 | --------------------------------------------------------------------------------