Merge pull request #13 from ZiyuanTonyZhang/master

fix scaling issue

Former-commit-id: b282e761f04904697418c9e759d761004a045428

predict.py

@@ -11,6 +11,8 @@ from unet import UNet
 from utils import resize_and_crop, normalize, split_img_into_squares, hwc_to_chw, merge_masks, dense_crf
 from utils import plot_img_and_mask
 
+from torchvision import transforms
+
 def predict_img(net,
                 full_img,
                 scale_factor=0.5,
@@ -40,11 +42,19 @@ def predict_img(net,
         output_left = net(X_left)
         output_right = net(X_right)
 
-        left_probs = F.sigmoid(output_left)
-        right_probs = F.sigmoid(output_right)
+        left_probs = F.sigmoid(output_left).squeeze(0)
+        right_probs = F.sigmoid(output_right).squeeze(0)
 
-        left_probs = F.upsample(left_probs, size=(img_height, img_height))
-        right_probs = F.upsample(right_probs, size=(img_height, img_height))
+        tf = transforms.Compose(
+            [
+                transforms.ToPILImage(),
+                transforms.Resize(img_height),
+                transforms.ToTensor()
+            ]
+        )
+        
+        left_probs = tf(left_probs.cpu())
+        right_probs = tf(right_probs.cpu())
 
         left_mask_np = left_probs.squeeze().cpu().numpy()
         right_mask_np = right_probs.squeeze().cpu().numpy()
@@ -66,6 +76,7 @@ def get_args():
                              " (default : 'MODEL.pth')")
     parser.add_argument('--input', '-i', metavar='INPUT', nargs='+',
                         help='filenames of input images', required=True)
+
     parser.add_argument('--output', '-o', metavar='INPUT', nargs='+',
                         help='filenames of ouput images')
     parser.add_argument('--cpu', '-c', action='store_true',

requirements.txt

@@ -3,3 +3,4 @@ pydensecrf
 numpy
 Pillow
 torch
+torchvision