Fixed some details on predict + requirements

Former-commit-id: d04263be694bba9dc1cfeb96389a3ad2a4015841

predict.py

@@ -33,7 +33,7 @@ def predict_img(net,
 
     X_left = torch.from_numpy(left_square).unsqueeze(0)
     X_right = torch.from_numpy(right_square).unsqueeze(0)
-
+    
     if use_gpu:
         X_left = X_left.cuda()
         X_right = X_right.cuda()
@@ -52,15 +52,9 @@ def predict_img(net,
                 transforms.ToTensor()
             ]
         )
-
-        left_probs = tf(left_probs.cpu()).unsqueeze(0)
-        right_probs = tf(right_probs.cpu()).unsqueeze(0)
-
-
-        # left_probs = F.upsample(left_probs, size=(img_height, img_height))
-        # right_probs = F.upsample(right_probs, size=(img_height, img_height))
-
-
+        
+        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()
@@ -80,11 +74,11 @@ def get_args():
                         metavar='FILE',
                         help="Specify the file in which is stored the model"
                              " (default : 'MODEL.pth')")
-    parser.add_argument('--input', '-i', default=['test.jpg'], metavar='INPUT', nargs='+',
-                        help='filenames of input images', required=False)
+    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',default=['opt.jpg'])
+                        help='filenames of ouput images')
     parser.add_argument('--cpu', '-c', action='store_true',
                         help="Do not use the cuda version of the net",
                         default=False)
@@ -108,7 +102,6 @@ def get_args():
 
 def get_output_filenames(args):
     in_files = args.input
-    # in_files = 'img.jpg'
     out_files = []
 
     if not args.output:

requirements.txt

@@ -2,4 +2,5 @@ matplotlib
 pydensecrf
 numpy
 Pillow
-torch
+torch
+torchvision