Update app.py

app.py

@@ -54,7 +54,7 @@ if submit:
     bboxes = outputs.pred_boxes
     # print results
     target_sizes = torch.tensor([image.size[::-1]])
-    results = image_processor.post_process_object_detection(outputs, threshold=0.9, target_sizes=target_sizes)[0]
+    results = processor.post_process_object_detection(outputs, threshold=0.9, target_sizes=target_sizes)[0]
     for score, label, box in zip(results["scores"], results["labels"], results["boxes"]):
         box = [round(i, 2) for i in box.tolist()]
         print(