Python visualize Examples

Example #1

File: train.py Project: simongraham/dsf-cnn

 def view_dataset(self, mode="train"):
     assert mode == "train" or mode == "valid", "Invalid view mode"
     if self.model_mode == "seg_gland" or self.model_mode == "seg_nuc":
         datagen = self.get_datagen(4, mode=mode, view=True)
         loader.visualize(datagen, 4)
     else:
         # visualise more for classification- don't need to show label
         datagen = self.get_datagen(8, mode=mode, view=True)
         loader.visualize(datagen, 8)
     return

Example #2

File: train.py Project: Ghulam111/DRCA_Net

 def view_dataset(self, mode='train'):
     assert mode == 'train' or mode == 'valid', "Invalid view mode"
     datagen = self.get_datagen(4, mode=mode, view=True)
     loader.visualize(datagen, 4)
     return

Example #3

 def view_dataset(self, mode="train"):
     assert mode == "train" or mode == "valid", "Invalid view mode"
     datagen = self.get_datagen(4, mode=mode, view=True)
     loader.visualize(datagen, 4, aug_only=True, preview=True)
     return

Example #4

File: train.py Project: shikhar-srivastava/hover_net_modified

 def view_dataset(self, mode='train'):
     assert mode == 'train' or mode == 'valid', "Invalid view mode"
     datagen = self.get_datagen(4, mode=mode, view=True)
     loader.visualize(datagen,
                      4)  # 4 is any value <= batch size of model trainer
     return