change imgs by ims in yolo

app.py

@@ -112,12 +112,12 @@ def crop_animal_detections(yolo_results,
                            likelihood_th):
 
     ## Extract animal crops
-    print(yolo_results)
+    #print(yolo_results)
     list_labels_as_str = yolo_results.names  # ['animal', 'person', 'vehicle']
     list_np_animal_crops = []
     # for every image
-    pdb.set_trace()
-    for img, det_array in zip(yolo_results.imgs,
+    #pdb.set_trace()
+    for img, det_array in zip(yolo_results.ims,
                               yolo_results.xyxy):
 
         # for every detection
@@ -207,6 +207,7 @@ def predict_pipeline(img_input,
 
     ################################################################
     # Obtain animal crops for bboxes with confidence above th
+
     list_crops = crop_animal_detections(md_results,
                                         bbox_likelihood_th)