denoising:这是用于多光子显微镜图像降噪的几种有监督和无监督方法的实现，包括CARE，DnCNN，ResNet，Noise2Noise，Noise2Void，概率Noise2Void和结构化Noise2Void-源码

[{"title":"（ 56 个子文件 83.65MB ） denoising:这是用于多光子显微镜图像降噪的几种有监督和无监督方法的实现，包括CARE，DnCNN，ResNet，Noise2Noise，Noise2Void，概率Noise2Void和结构化Noise2Void-源码","children":[{"title":"denoising-main","children":[{"title":"training","children":[{"title":"train_n2v.py <span style='color:#111;'> 2.46KB </span>","children":null,"spread":false},{"title":"preprocessing.py <span style='color:#111;'> 7.24KB </span>","children":null,"spread":false},{"title":"train_care.py <span style='color:#111;'> 1.78KB </span>","children":null,"spread":false},{"title":"train_pn2v.py <span style='color:#111;'> 2.15KB </span>","children":null,"spread":false},{"title":"train_unet.py <span style='color:#111;'> 2.83KB </span>","children":null,"spread":false},{"title":"train_dncnn.py <span style='color:#111;'> 2.82KB </span>","children":null,"spread":false},{"title":"train_n2n.py <span style='color:#111;'> 1.77KB </span>","children":null,"spread":false},{"title":"__pycache__","children":[{"title":"train_dncnn.cpython-37.pyc <span style='color:#111;'> 2.16KB </span>","children":null,"spread":false},{"title":"__init__.cpython-38.pyc <span style='color:#111;'> 136B </span>","children":null,"spread":false},{"title":"__init__.cpython-37.pyc <span style='color:#111;'> 132B </span>","children":null,"spread":false},{"title":"preprocessing.cpython-37.pyc <span style='color:#111;'> 4.82KB </span>","children":null,"spread":false},{"title":"train_resnet.cpython-37.pyc <span style='color:#111;'> 2.13KB </span>","children":null,"spread":false},{"title":"train_n2v.cpython-37.pyc <span style='color:#111;'> 2.21KB </span>","children":null,"spread":false},{"title":"train_n2n.cpython-37.pyc <span style='color:#111;'> 1.48KB </span>","children":null,"spread":false},{"title":"train_care.cpython-37.pyc <span style='color:#111;'> 1.48KB </span>","children":null,"spread":false},{"title":"train_pn2v.cpython-37.pyc <span style='color:#111;'> 1.69KB </span>","children":null,"spread":false},{"title":"train_unet.cpython-37.pyc <span style='color:#111;'> 2.18KB </span>","children":null,"spread":false},{"title":"train_care.cpython-38.pyc <span style='color:#111;'> 1.36KB </span>","children":null,"spread":false}],"spread":false},{"title":"__init__.py <span style='color:#111;'> 0B </span>","children":null,"spread":false},{"title":"train_resnet.py <span style='color:#111;'> 2.78KB </span>","children":null,"spread":false}],"spread":true},{"title":"predict.py <span style='color:#111;'> 4.91KB </span>","children":null,"spread":false},{"title":"README.md <span style='color:#111;'> 8.81KB </span>","children":null,"spread":false},{"title":"train.py <span style='color:#111;'> 4.82KB </span>","children":null,"spread":false},{"title":"requirements.txt <span style='color:#111;'> 196B </span>","children":null,"spread":false},{"title":".idea","children":[{"title":"workspace.xml <span style='color:#111;'> 2.64KB </span>","children":null,"spread":false},{"title":"denoising.iml <span style='color:#111;'> 488B </span>","children":null,"spread":false},{"title":"vcs.xml <span style='color:#111;'> 180B </span>","children":null,"spread":false},{"title":"misc.xml <span style='color:#111;'> 199B </span>","children":null,"spread":false},{"title":"modules.xml <span style='color:#111;'> 270B </span>","children":null,"spread":false},{"title":"inspectionProfiles","children":[{"title":"profiles_settings.xml <span style='color:#111;'> 174B </span>","children":null,"spread":false}],"spread":true}],"spread":true},{"title":"ratiometric.py <span style='color:#111;'> 5.44KB </span>","children":null,"spread":false},{"title":"nets","children":[{"title":"unet","children":[{"title":"model.py <span style='color:#111;'> 8.00KB </span>","children":null,"spread":false},{"title":"__pycache__","children":[{"title":"__init__.cpython-37.pyc <span style='color:#111;'> 133B </span>","children":null,"spread":false},{"title":"model.cpython-37.pyc <span style='color:#111;'> 6.61KB </span>","children":null,"spread":false}],"spread":true},{"title":"__init__.py <span style='color:#111;'> 0B </span>","children":null,"spread":false}],"spread":true},{"title":"resnet.py <span style='color:#111;'> 1007B </span>","children":null,"spread":false},{"title":"pn2v","children":[{"title":"histNoiseModel.py <span style='color:#111;'> 4.53KB </span>","children":null,"spread":false},{"title":"utils.py <span style='color:#111;'> 1011B </span>","children":null,"spread":false},{"title":"prediction.py <span style='color:#111;'> 8.48KB </span>","children":null,"spread":false},{"title":"__pycache__","children":[{"title":"training.cpython-37.pyc <span style='color:#111;'> 11.17KB </span>","children":null,"spread":false},{"title":"__init__.cpython-37.pyc <span style='color:#111;'> 133B </span>","children":null,"spread":false},{"title":"utils.cpython-37.pyc <span style='color:#111;'> 1.45KB </span>","children":null,"spread":false},{"title":"histNoiseModel.cpython-37.pyc <span style='color:#111;'> 4.17KB </span>","children":null,"spread":false}],"spread":false},{"title":"__init__.py <span style='color:#111;'> 0B </span>","children":null,"spread":false},{"title":"training.py <span style='color:#111;'> 14.98KB </span>","children":null,"spread":false}],"spread":true},{"title":"custom_unet.py <span style='color:#111;'> 3.06KB </span>","children":null,"spread":false},{"title":"dncnn.py <span style='color:#111;'> 1.16KB </span>","children":null,"spread":false},{"title":"__pycache__","children":[{"title":"custom_unet.cpython-37.pyc <span style='color:#111;'> 2.17KB </span>","children":null,"spread":false},{"title":"__init__.cpython-37.pyc <span style='color:#111;'> 128B </span>","children":null,"spread":false},{"title":"resnet.cpython-37.pyc <span style='color:#111;'> 860B </span>","children":null,"spread":false},{"title":"dncnn.cpython-37.pyc <span style='color:#111;'> 1.10KB </span>","children":null,"spread":false}],"spread":false},{"title":"__init__.py <span style='color:#111;'> 0B </span>","children":null,"spread":false}],"spread":true},{"title":"data","children":[{"title":"AST_039_Spock_870nm_ch1_16x_Z6_FLIIP.tif <span style='color:#111;'> 50.01MB </span>","children":null,"spread":false},{"title":"AST_013_Spock_870nm_ch1_16x_Z8_FLIIP.tif <span style='color:#111;'> 50.01MB </span>","children":null,"spread":false}],"spread":true},{"title":"predict.ipynb <span style='color:#111;'> 587.21KB </span>","children":null,"spread":false},{"title":"ratiometric.ipynb <span style='color:#111;'> 257.63KB </span>","children":null,"spread":false}],"spread":false}],"spread":true}]