[{"title":"( 27 个子文件 28KB ) MIRNet:“学习增强的真实图像还原和增强功能”的官方存储库(ECCV 2020)。 SOTA结果可实现图像降噪,超分辨率和图像增强","children":[{"title":"MIRNet-master","children":[{"title":"test_super_resolution.py <span style='color:#111;'> 2.63KB </span>","children":null,"spread":false},{"title":"utils","children":[{"title":"model_utils.py <span style='color:#111;'> 1.53KB </span>","children":null,"spread":false},{"title":"dataset_utils.py <span style='color:#111;'> 1.59KB </span>","children":null,"spread":false},{"title":"antialias.py <span style='color:#111;'> 4.47KB </span>","children":null,"spread":false},{"title":"__init__.py <span style='color:#111;'> 108B </span>","children":null,"spread":false},{"title":"bundle_submissions.py <span style='color:#111;'> 3.50KB </span>","children":null,"spread":false},{"title":"dir_utils.py <span style='color:#111;'> 407B </span>","children":null,"spread":false},{"title":"image_utils.py <span style='color:#111;'> 1.33KB </span>","children":null,"spread":false}],"spread":true},{"title":"config.py <span style='color:#111;'> 3.22KB </span>","children":null,"spread":false},{"title":"test_enhancement.py <span style='color:#111;'> 3.11KB </span>","children":null,"spread":false},{"title":"dataloaders","children":[{"title":"dataset_rgb.py <span style='color:#111;'> 5.26KB </span>","children":null,"spread":false},{"title":"data_rgb.py <span style='color:#111;'> 565B </span>","children":null,"spread":false}],"spread":true},{"title":"training.yml <span style='color:#111;'> 508B </span>","children":null,"spread":false},{"title":"generate_patches_SIDD.py <span style='color:#111;'> 2.10KB </span>","children":null,"spread":false},{"title":"losses.py <span style='color:#111;'> 1.58KB </span>","children":null,"spread":false},{"title":"LICENSE.md <span style='color:#111;'> 1.30KB </span>","children":null,"spread":false},{"title":"README.md <span style='color:#111;'> 7.89KB </span>","children":null,"spread":false},{"title":"pretrained_models","children":[{"title":"download_models.txt <span style='color:#111;'> 122B </span>","children":null,"spread":false}],"spread":true},{"title":"test_denoising_sidd.py <span style='color:#111;'> 2.78KB </span>","children":null,"spread":false},{"title":"train_denoising.py <span style='color:#111;'> 6.79KB </span>","children":null,"spread":false},{"title":"pytorch-gradual-warmup-lr","children":[{"title":"warmup_scheduler","children":[{"title":"run.py <span style='color:#111;'> 817B </span>","children":null,"spread":false},{"title":"__init__.py <span style='color:#111;'> 63B </span>","children":null,"spread":false},{"title":"scheduler.py <span style='color:#111;'> 3.00KB </span>","children":null,"spread":false}],"spread":false},{"title":"setup.py <span style='color:#111;'> 578B </span>","children":null,"spread":false}],"spread":false},{"title":"networks","children":[{"title":"MIRNet_model.py <span style='color:#111;'> 12.99KB </span>","children":null,"spread":false}],"spread":false},{"title":".gitignore <span style='color:#111;'> 36B </span>","children":null,"spread":false},{"title":"test_denoising_dnd.py <span style='color:#111;'> 2.94KB </span>","children":null,"spread":false}],"spread":false}],"spread":true}]