more dubugging

app.py

@@ -29,19 +29,20 @@ def read_image(image_file: bytes = File(...)):
     target_sizes = torch.tensor([image.size[::-1]])
     results = processor.post_process_object_detection(outputs, target_sizes=target_sizes, threshold=0.9)[0]
     print("results pushed")
-    for score, label, box in zip(results["scores"], results["labels"], results["boxes"]):
-        box = [round(i, 2) for i in box.tolist()]
-        print(
-                f"Detected {model.config.id2label[label.item()]} with confidence "
-                f"{round(score.item(), 3)} at location {box}"
-        )
-    print(results["scores"])
-    print(results["labels"])
-    print(results["boxes"])
     response = {}
     response['scores'] = results['scores']
     response['labels'] = results['labels']
     response['boxes'] = results['boxes']
+    for score, label, box in zip(results["scores"], results["labels"], results["boxes"]):
+        box = [round(i, 2) for i in box.tolist()]
+        print(model.config.id2label[label.item()])
+        print(score.item())
+        print(box)
+        # print(
+        #         f"Detected {model.config.id2label[label.item()]} with confidence "
+        #         f"{round(score.item(), 3)} at location {box}"
+        # )
+    
     return response