Update src/pixel3dmm/network_inference.py

src/pixel3dmm/network_inference.py

@@ -88,10 +88,6 @@ def normals_n_uvs(cfg, model):
         image_names = os.listdir(f'{IMAGE_FOLDER}')
         image_names.sort()
 
-        if os.path.exists(out_folders[prediction_type]):
-            if len(os.listdir(out_folders[prediction_type])) == len(image_names):
-                return
-
         for i in tqdm(range(len(image_names))):
             try:
                 img = np.array(Image.open(f'{IMAGE_FOLDER}/{image_names[i]}').resize((512, 512))) / 255 # need 512,512 images as input; normalize to [0, 1] range