EnlightenGAN
代码说明:
说明: 无监督训练的生成对抗网络程序,python版本,生成有关光照不同的图片(Unsupervised training generated against the network program, python version, to generate different pictures about the light)
文件列表:
EnlightenGAN-master, 0 , 2020-01-29
EnlightenGAN-master\.gitignore, 1356 , 2020-01-29
EnlightenGAN-master\License, 3578 , 2020-01-29
EnlightenGAN-master\README.md, 2203 , 2020-01-29
EnlightenGAN-master\assets, 0 , 2020-01-29
EnlightenGAN-master\assets\.DS_Store, 6148 , 2020-01-29
EnlightenGAN-master\assets\arch.png, 1178967 , 2020-01-29
EnlightenGAN-master\assets\arch_2.pdf, 1738396 , 2020-01-29
EnlightenGAN-master\assets\comparison_3.pdf, 1753489 , 2020-01-29
EnlightenGAN-master\assets\new_ablation.pdf, 1407150 , 2020-01-29
EnlightenGAN-master\assets\show_3.png, 3738934 , 2020-01-29
EnlightenGAN-master\assets\table.pdf, 96026 , 2020-01-29
EnlightenGAN-master\configs, 0 , 2020-01-29
EnlightenGAN-master\configs\unit_gta2city_folder.yaml, 3092 , 2020-01-29
EnlightenGAN-master\data, 0 , 2020-01-29
EnlightenGAN-master\data\__init__.py, 0 , 2020-01-29
EnlightenGAN-master\data\aligned_dataset.py, 1866 , 2020-01-29
EnlightenGAN-master\data\base_data_loader.py, 195 , 2020-01-29
EnlightenGAN-master\data\base_dataset.py, 1797 , 2020-01-29
EnlightenGAN-master\data\custom_dataset_data_loader.py, 1676 , 2020-01-29
EnlightenGAN-master\data\data_loader.py, 229 , 2020-01-29
EnlightenGAN-master\data\image_folder.py, 2393 , 2020-01-29
EnlightenGAN-master\data\pair_dataset.py, 3552 , 2020-01-29
EnlightenGAN-master\data\single_dataset.py, 958 , 2020-01-29
EnlightenGAN-master\data\syn_dataset.py, 3263 , 2020-01-29
EnlightenGAN-master\data\unaligned_dataset.py, 5167 , 2020-01-29
EnlightenGAN-master\data\unaligned_random_crop.py, 2976 , 2020-01-29
EnlightenGAN-master\datasets, 0 , 2020-01-29
EnlightenGAN-master\datasets\.DS_Store, 6148 , 2020-01-29
EnlightenGAN-master\datasets\bibtex, 0 , 2020-01-29
EnlightenGAN-master\datasets\bibtex\cityscapes.tex, 393 , 2020-01-29
EnlightenGAN-master\datasets\bibtex\facades.tex, 253 , 2020-01-29
EnlightenGAN-master\datasets\bibtex\handbags.tex, 515 , 2020-01-29
EnlightenGAN-master\datasets\bibtex\shoes.tex, 461 , 2020-01-29
EnlightenGAN-master\datasets\combine_A_and_B.py, 2157 , 2020-01-29
EnlightenGAN-master\datasets\download_cyclegan_dataset.sh, 809 , 2020-01-29
EnlightenGAN-master\datasets\download_pix2pix_dataset.sh, 247 , 2020-01-29
EnlightenGAN-master\imgs, 0 , 2020-01-29
EnlightenGAN-master\imgs\edges2cats.jpg, 69459 , 2020-01-29
EnlightenGAN-master\imgs\horse2zebra.gif, 7686299 , 2020-01-29
EnlightenGAN-master\lib, 0 , 2020-01-29
EnlightenGAN-master\lib\nn, 0 , 2020-01-29
EnlightenGAN-master\lib\nn\__init__.py, 110 , 2020-01-29
EnlightenGAN-master\lib\nn\modules, 0 , 2020-01-29
EnlightenGAN-master\lib\nn\modules\__init__.py, 449 , 2020-01-29
EnlightenGAN-master\lib\nn\modules\batchnorm.py, 13813 , 2020-01-29
EnlightenGAN-master\lib\nn\modules\comm.py, 4278 , 2020-01-29
EnlightenGAN-master\lib\nn\modules\replicate.py, 3226 , 2020-01-29
EnlightenGAN-master\lib\nn\modules\tests, 0 , 2020-01-29
EnlightenGAN-master\lib\nn\modules\tests\test_numeric_batchnorm.py, 1615 , 2020-01-29
EnlightenGAN-master\lib\nn\modules\tests\test_sync_batchnorm.py, 3571 , 2020-01-29
EnlightenGAN-master\lib\nn\modules\unittest.py, 835 , 2020-01-29
EnlightenGAN-master\lib\nn\parallel, 0 , 2020-01-29
EnlightenGAN-master\lib\nn\parallel\__init__.py, 92 , 2020-01-29
EnlightenGAN-master\lib\nn\parallel\data_parallel.py, 3399 , 2020-01-29
EnlightenGAN-master\lib\utils, 0 , 2020-01-29
EnlightenGAN-master\lib\utils\__init__.py, 18 , 2020-01-29
EnlightenGAN-master\lib\utils\data, 0 , 2020-01-29
EnlightenGAN-master\lib\utils\data\__init__.py, 95 , 2020-01-29
EnlightenGAN-master\lib\utils\data\dataloader.py, 16128 , 2020-01-29
EnlightenGAN-master\lib\utils\data\dataset.py, 3465 , 2020-01-29
EnlightenGAN-master\lib\utils\data\distributed.py, 1964 , 2020-01-29
EnlightenGAN-master\lib\utils\data\sampler.py, 3761 , 2020-01-29
EnlightenGAN-master\lib\utils\th.py, 1237 , 2020-01-29
EnlightenGAN-master\models, 0 , 2020-01-29
EnlightenGAN-master\models\Unet_L1.py, 6023 , 2020-01-29
EnlightenGAN-master\models\__init__.py, 0 , 2020-01-29
EnlightenGAN-master\models\base_model.py, 1569 , 2020-01-29
EnlightenGAN-master\models\cycle_gan_model.py, 13905 , 2020-01-29
EnlightenGAN-master\models\models.py, 1344 , 2020-01-29
EnlightenGAN-master\models\multi_model.py, 16235 , 2020-01-29
EnlightenGAN-master\models\networks.py, 48217 , 2020-01-29
EnlightenGAN-master\models\pair_model.py, 16234 , 2020-01-29
EnlightenGAN-master\models\pix2pix_model.py, 5640 , 2020-01-29
EnlightenGAN-master\models\single_model.py, 24354 , 2020-01-29
EnlightenGAN-master\models\temp_model.py, 24626 , 2020-01-29
EnlightenGAN-master\models\test_model.py, 1569 , 2020-01-29
EnlightenGAN-master\models\unit_model.py, 12822 , 2020-01-29
EnlightenGAN-master\models\unit_network.py, 20086 , 2020-01-29
EnlightenGAN-master\options, 0 , 2020-01-29
EnlightenGAN-master\options\._single_unet_conv_add_bs32_BN_nonormDlayer5_3_final_lsgan_64patchD_P_vgg.py, 4096 , 2020-01-29
EnlightenGAN-master\options\__init__.py, 0 , 2020-01-29
EnlightenGAN-master\options\base_options.py, 9660 , 2020-01-29
EnlightenGAN-master\options\single_unet_conv_add_bs32_BN_nonormDlayer5_3_final_lsgan_64patchD_P_vgg.py, 1982 , 2020-01-29
EnlightenGAN-master\options\test_options.py, 845 , 2020-01-29
EnlightenGAN-master\options\train_options.py, 2072 , 2020-01-29
EnlightenGAN-master\predict.py, 1077 , 2020-01-29
EnlightenGAN-master\requirement.txt, 48 , 2020-01-29
EnlightenGAN-master\scripts, 0 , 2020-01-29
EnlightenGAN-master\scripts\script.py, 1495 , 2020-01-29
EnlightenGAN-master\seg, 0 , 2020-01-29
EnlightenGAN-master\seg\PSPNet.py, 0 , 2020-01-29
EnlightenGAN-master\seg\resnet.py, 0 , 2020-01-29
EnlightenGAN-master\seg\resnext, 0 , 2020-01-29
EnlightenGAN-master\train.py, 2498 , 2020-01-29
EnlightenGAN-master\util, 0 , 2020-01-29
EnlightenGAN-master\util\__init__.py, 0 , 2020-01-29
EnlightenGAN-master\util\get_data.py, 3511 , 2020-01-29
EnlightenGAN-master\util\html.py, 1912 , 2020-01-29
EnlightenGAN-master\util\image_pool.py, 1109 , 2020-01-29
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