Update utils.py

utils.py

@@ -697,25 +697,6 @@ def display_instances(image, boxes, masks, class_ids, class_names,
        plt.savefig('val_image_%s.jpg' % savepath)
     if auto_show:
         plt.show()
-
-def pred_images_from_folder(directory):
-  for filename in os.listdir(directory):
-    if filename.endswith(".png"): 
-          print(os.path.join(directory, filename))
-          path = os.path.join(directory, filename)
-          augs = torchvision.transforms.Compose([torchvision.transforms.ToTensor()])
-          img = np.array(Image.open(path).convert("RGB"))
-          img, window, scale, padding, crop = resize_image(
-        img, [img.shape[1], img.shape[0]],
-        min_dim=None,
-        min_scale=None,
-        max_dim=384)
-          img = augs(img)
-          pred_mask, pred_boxes, class_ids, pred_score = get_prediction(model, img, threshold)
-          masked_image = display_instances(np.array(img.mul(255)).transpose(1,2,0), pred_boxes, pred_mask, class_ids, dataset_train.class_names, auto_show=False)     
-          continue
-    else:
-        continue
         
 def extract_bboxes(mask):
     """Compute bounding boxes from masks.