other resnet_config + dataset_2D crops to input size

config/jeroen_resnet.ini

@@ -0,0 +1,53 @@
+[info]
+experiment: ResNet default settings
+name: resnet
+
+[dataset]
+pixels: 64
+n_classes: 2
+channels: 1
+subset: None
+filenames_train: ./../../data/cadV2_0.5mm_64x64_xy_xz_yz/subset[0-7]/*/*.pkl.gz
+filenames_validation:./../../data/cadV2_0.5mm_64x64_xy_xz_yz/subset[8]/*/*.pkl.gz
+data_folder: None ;not used
+
+[network]
+architecture: resnet
+input_size: 48
+depth: 1
+branching_factor: 8
+batch_normalization: False
+batch_normalization_alpha: 0.3
+dropout: 0.25
+spatial_dropout: 0.5
+gaussian_noise: 0.05
+
+[updates] 
+optimization: -
+learning_rate: 0 ;not used, see schedule
+momentum: 0.9
+l2_lambda: 0.00005
+batch_size_train: 128
+batch_size_validation: 256
+n_epochs: 100
+
+[preprocessing] ;Not used
+random_crop: 0 ;no cropping
+erode_segmentation: 11
+
+[normalization]
+zero_center: True
+mean_pixel: 0.2606236106512
+
+[augmentation]
+augment: True
+flip: True
+zoom: 0.08 ;Only if OpenCV2 is available
+rotation: 20
+translation: 3
+
+
+[misc]
+multiprocess_load_augmentation: False
+save_every_n_epoch: 2
+n_workers_load_augmentation: 6

src/deep/dataset_2D.py

@@ -17,6 +17,13 @@ def load_images (image_paths, deterministic=False):
             x,y,z = xy_xz_yz
             if P.AUGMENT and not deterministic:
                 x,y,z = augment.augment(xy_xz_yz)
+
+            offset = (len(x) - P.INPUT_SIZE) / 2
+
+            x = x[offset:-offset,offset:-offset]
+            y = y[offset:-offset,offset:-offset]
+            z = z[offset:-offset,offset:-offset]
+
             X.append([x])
             X.append([y])
             X.append([z])