├── .gitignore ├── README.md ├── data ├── gt │ ├── 2016_17 │ │ ├── readme.txt │ │ ├── sihl.txt │ │ ├── sils.txt │ │ ├── silvaplana.txt │ │ └── stmoritz.txt │ └── 2017_18 │ │ ├── sihl.txt │ │ ├── sils.txt │ │ ├── silvaplana.txt │ │ └── stmoritz.txt ├── rasters │ └── readme.txt └── shapes │ ├── UTM31N.dbf │ ├── UTM31N.prj │ ├── UTM31N.qpj │ ├── UTM31N.shp │ ├── UTM31N.shx │ ├── UTM32N.dbf │ ├── UTM32N.prj │ ├── UTM32N.qpj │ ├── UTM32N.shp │ └── UTM32N.shx ├── data_scripting ├── gee_browser.js ├── labeling.ipynb ├── preprocessing_sar.ipynb └── semanticSegmentation2dailyLabeling.ipynb ├── figures ├── diagram_deeplab.png └── qual_tran_sils.jpg ├── models └── research │ ├── deeplab │ ├── .#train_and_test_sar_ice.sh │ ├── README.md │ ├── XXy │ ├── __init__.py │ ├── common.py │ ├── common_test.py │ ├── core │ │ ├── __init__.py │ │ ├── dense_prediction_cell.py │ │ ├── dense_prediction_cell_branch5_top1_cityscapes.json │ │ ├── dense_prediction_cell_test.py │ │ ├── feature_extractor.py │ │ ├── preprocess_utils.py │ │ ├── preprocess_utils_test.py │ │ ├── resnet_v1_beta.py │ │ ├── resnet_v1_beta_test.py │ │ ├── utils.py │ │ ├── utils_test.py │ │ ├── xception.py │ │ └── xception_test.py │ ├── datasets │ │ ├── __init__.py │ │ ├── build_data.py │ │ ├── build_data2.py │ │ ├── build_sar_ice_2.py │ │ ├── download_and_convert_sar_ice.sh │ │ ├── remove_gt_colormap.py │ │ ├── segmentation_dataset.py │ │ └── segmentation_dataset2.py │ ├── deeplab_demo.ipynb │ ├── eval.sh │ ├── eval_pascal.py │ ├── export_model.py │ ├── g3doc │ │ ├── ade20k.md │ │ ├── cityscapes.md │ │ ├── export_model.md │ │ ├── faq.md │ │ ├── img │ │ │ ├── image1.jpg │ │ │ ├── image2.jpg │ │ │ ├── image3.jpg │ │ │ ├── image_info.txt │ │ │ ├── vis1.png │ │ │ ├── vis2.png │ │ │ └── vis3.png │ │ ├── installation.md │ │ ├── model_zoo.md │ │ └── pascal.md │ ├── input_preprocess.py │ ├── model.py │ ├── model_test.py │ ├── patch_rebuildner.py │ ├── quantify.py │ ├── train.py │ ├── train_and_val_sar_ice.sh │ ├── utils │ │ ├── __init__.py │ │ ├── get_dataset_colormap.py │ │ ├── get_dataset_colormap_test.py │ │ ├── input_generator.py │ │ ├── save_annotation.py │ │ └── train_utils.py │ └── vis.py │ └── slim │ ├── BUILD │ ├── README.md │ ├── WORKSPACE │ ├── __init__.py │ ├── datasets │ ├── __init__.py │ ├── build_imagenet_data.py │ ├── cifar10.py │ ├── dataset_factory.py │ ├── dataset_utils.py │ ├── download_and_convert_cifar10.py │ ├── download_and_convert_flowers.py │ ├── download_and_convert_imagenet.sh │ ├── download_and_convert_mnist.py │ ├── download_imagenet.sh │ ├── flowers.py │ ├── imagenet.py │ ├── imagenet_2012_validation_synset_labels.txt │ ├── imagenet_lsvrc_2015_synsets.txt │ ├── imagenet_metadata.txt │ ├── mnist.py │ ├── preprocess_imagenet_validation_data.py │ └── process_bounding_boxes.py │ ├── deployment │ ├── __init__.py │ ├── model_deploy.py │ └── model_deploy_test.py │ ├── download_and_convert_data.py │ ├── eval_image_classifier.py │ ├── export_inference_graph.py │ ├── export_inference_graph_test.py │ ├── nets │ ├── __init__.py │ ├── alexnet.py │ ├── alexnet_test.py │ ├── cifarnet.py │ ├── cyclegan.py │ ├── cyclegan_test.py │ ├── dcgan.py │ ├── dcgan_test.py │ ├── i3d.py │ ├── i3d_test.py │ ├── i3d_utils.py │ ├── inception.py │ ├── inception_resnet_v2.py │ ├── inception_resnet_v2_test.py │ ├── inception_utils.py │ ├── inception_v1.py │ ├── inception_v1_test.py │ ├── inception_v2.py │ ├── inception_v2_test.py │ ├── inception_v3.py │ ├── inception_v3_test.py │ ├── inception_v4.py │ ├── inception_v4_test.py │ ├── lenet.py │ ├── mobilenet │ │ ├── README.md │ │ ├── __init__.py │ │ ├── conv_blocks.py │ │ ├── madds_top1_accuracy.png │ │ ├── mnet_v1_vs_v2_pixel1_latency.png │ │ ├── mobilenet.py │ │ ├── mobilenet_example.ipynb │ │ ├── mobilenet_v2.py │ │ └── mobilenet_v2_test.py │ ├── mobilenet_v1.md │ ├── mobilenet_v1.png │ ├── mobilenet_v1.py │ ├── mobilenet_v1_eval.py │ ├── mobilenet_v1_test.py │ ├── mobilenet_v1_train.py │ ├── nasnet │ │ ├── README.md │ │ 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