├── README.md ├── data_test ├── img_0_0 │ └── images │ │ └── img_0_0.png ├── img_0_1 │ └── images │ │ └── img_0_1.png └── img_0_2 │ └── images │ └── img_0_2.png ├── data_tools.py ├── dsb2018_topcoders ├── albu │ └── src │ │ ├── __init__.py │ │ ├── augmentations │ │ ├── __init__.py │ │ ├── composition.py │ │ ├── functional.py │ │ ├── test_hsv.py │ │ ├── transforms.py │ │ └── tta.py │ │ ├── bowl_eval.py │ │ ├── bowl_train.py │ │ ├── config.py │ │ ├── dataset │ │ ├── __init__.py │ │ ├── abstract_image_provider.py │ │ ├── abstract_image_type.py │ │ ├── image_cropper.py │ │ ├── neural_dataset.py │ │ ├── raw_image.py │ │ └── reading_image_provider.py │ │ ├── merge_preds.py │ │ ├── predict_oof.sh │ │ ├── predict_test.sh │ │ ├── pytorch_utils │ │ ├── __init__.py │ │ ├── callbacks.py │ │ ├── concrete_eval.py │ │ ├── eval.py │ │ ├── hard_negative_mining.py │ │ ├── loss.py │ │ └── train.py │ │ ├── pytorch_zoo │ │ ├── __init__.py │ │ ├── abstract_model.py │ │ ├── dpn.py │ │ ├── inception.py │ │ ├── inception_resnet_v2.py │ │ ├── inplace_abn │ │ │ ├── __init__.py │ │ │ ├── models │ │ │ │ ├── __init__.py │ │ │ │ ├── _util.py │ │ │ │ └── wider_resnet.py │ │ │ └── modules │ │ │ │ ├── __init__.py │ │ │ │ ├── _ext │ │ │ │ └── __init__.py │ │ │ │ ├── bn.py │ │ │ │ ├── build.py │ │ │ │ ├── build.sh │ │ │ │ ├── dense.py │ │ │ │ ├── functions.py │ │ │ │ ├── misc.py │ │ │ │ └── residual.py │ │ ├── ins_test.py │ │ ├── resnet.py │ │ ├── resnet38unet.py │ │ ├── unet.py │ │ └── vgg.py │ │ ├── submit.py │ │ ├── train01.sh │ │ ├── train23.sh │ │ ├── train_all.sh │ │ ├── train_devbox.sh │ │ ├── tune_all.sh │ │ └── utils.py ├── predict_oof_trees.sh ├── predict_test.sh ├── selim │ ├── aug │ │ ├── __init__.py │ │ ├── composition.py │ │ ├── functional.py │ │ └── transforms.py │ ├── datasets │ │ ├── __init__.py │ │ ├── base.py │ │ └── dsb_binary.py │ ├── losses.py │ ├── metric.py │ ├── models │ │ ├── __init__.py │ │ ├── model_factory.py │ │ ├── unets.py │ │ └── xception_padding.py │ ├── params.py │ ├── pred_oof.py │ ├── pred_test.py │ ├── predict_oof.sh │ ├── predict_test.sh │ ├── resnets.py │ ├── resnetv2.py │ ├── train.py │ ├── train_all.sh │ └── tune_all.sh ├── setup_env.sh ├── train_all.sh ├── tune_all.sh └── victor │ ├── augmentations │ ├── composition.py │ └── functional.py │ ├── create_masks.py │ ├── create_stage1_labels.py │ ├── create_submissions.py │ ├── merge_oof.py │ ├── merge_test.py │ ├── models.py │ ├── predict_densenet.py │ ├── predict_densenet_oof.py │ ├── predict_inception.py │ ├── predict_inception_oof.py │ ├── predict_oof_trees.sh │ ├── predict_test.sh │ ├── train_all.sh │ ├── train_classifier.py │ ├── train_densenet_softmax.py │ ├── train_inception_softmax.py │ ├── transforms.py │ ├── tune_all.sh │ ├── tune_densenet_softmax_final.py │ └── tune_inception_softmax_final.py ├── example_notebook.ipynb ├── features.py ├── install.sh ├── predictions ├── .gitkeep ├── color_test_sub1 │ ├── img_0_0.png │ ├── img_0_1.png │ └── img_0_2.png ├── color_test_sub2 │ ├── img_0_0.png │ ├── img_0_1.png │ └── img_0_2.png ├── densenet_test_pred_2 │ ├── img_0_0.png │ ├── img_0_1.png │ └── img_0_2.png ├── dpn_sigm_f0_test │ ├── img_0_0.png │ ├── img_0_1.png │ └── img_0_2.png ├── dpn_softmax_f0_test │ ├── img_0_0.png │ ├── img_0_1.png │ └── img_0_2.png ├── inception_test_pred_4 │ ├── img_0_0.png │ ├── img_0_1.png │ └── img_0_2.png ├── lgbm_test_sub1 │ ├── img_0_0.tif │ ├── img_0_1.tif │ └── img_0_2.tif ├── lgbm_test_sub2 │ ├── img_0_0.tif │ ├── img_0_1.tif │ └── img_0_2.tif ├── merged_extend_test │ ├── img_0_0.png │ ├── img_0_1.png │ └── img_0_2.png ├── merged_test │ ├── img_0_0.png │ ├── img_0_1.png │ └── img_0_2.png ├── pred_densenet169_softmax │ ├── img_0_0.png │ ├── img_0_1.png │ └── img_0_2.png ├── pred_resnet101_full_masks │ ├── img_0_0.png │ ├── img_0_1.png │ └── img_0_2.png ├── pred_resnet152 │ ├── img_0_0.png │ ├── img_0_1.png │ └── img_0_2.png ├── resnet_softmax_test │ ├── img_0_0.png │ ├── img_0_1.png │ └── img_0_2.png ├── submission_0.csv └── 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