├── Image Processor ├── .gitignore ├── Dick_Pic_Mask-RCNN_Trainer.ipynb ├── LICENSE ├── MANIFEST.in ├── README.md ├── __init__.py ├── align_images.py ├── cv_tools.py ├── download_utils.py ├── mrcnn │ ├── __init__.py │ ├── config.py │ ├── model.py │ ├── parallel_model.py │ ├── utils.py │ └── visualize.py ├── requirements.txt ├── scratch.py ├── setup.cfg └── setup.py ├── README.md ├── requirements.txt └── stylegan2-tpu ├── .DS_Store ├── Dockerfile ├── LICENSE.txt ├── README.md ├── align_mammos.py ├── convert_ckpt_to_pkl.py ├── convert_pkl_to_ckpt.py ├── dataset_tool.py ├── dnnlib ├── __init__.py ├── submission │ ├── __init__.py │ ├── internal │ │ ├── __init__.py │ │ └── local.py │ ├── run_context.py │ └── submit.py ├── tflib │ ├── __init__.py │ ├── autosummary.py │ ├── custom_ops.py │ ├── network.py │ ├── ops │ │ ├── __init__.py │ │ ├── fused_bias_act.cu │ │ ├── fused_bias_act.py │ │ ├── upfirdn_2d.cu │ │ └── upfirdn_2d.py │ ├── optimizer.py │ ├── tfutil.py │ └── tpu_summaries.py └── util.py ├── docs ├── license.html ├── stylegan2-teaser-1024x256.png ├── stylegan2-training-curves.png └── versions.html ├── encoder ├── __init__.py ├── generator_model.py └── perceptual_model.py ├── ext.l ├── generate_images_tpu.py ├── mammos.py ├── metrics ├── __init__.py ├── frechet_inception_distance.py ├── inception_score.py ├── linear_separability.py ├── metric_base.py ├── metric_defaults.py ├── perceptual_path_length.py └── precision_recall.py ├── prepare_image.py ├── pretrained_networks.py ├── projector.py ├── random_crops.py ├── repl.l ├── requirements.txt ├── run_generator.py ├── run_metrics.py ├── run_projector.py ├── run_training.py ├── test_nvcc.cu ├── tflex.py ├── tflex_test.py ├── train_tpu.sh ├── training ├── __init__.py ├── dataset.py ├── imagenet_input.py ├── loss.py ├── misc.py ├── networks_stylegan.py ├── networks_stylegan2.py ├── train_runner.py └── training_loop.py └── view.py /Image Processor/.gitignore: 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