some debugging

app.py

@@ -19,14 +19,22 @@ model = DetrForObjectDetection.from_pretrained("facebook/detr-resnet-50")
 
 @app.post('/image')
 def read_image(image_file: bytes = File(...)):
-    #image = Image.open(BytesIO(image_file))
-    url = "http://images.cocodataset.org/val2017/000000039769.jpg"
-    image = Image.open(requests.get(url, stream=True).raw)
+    image = Image.open(BytesIO(image_file))
+    # url = "http://images.cocodataset.org/val2017/000000039769.jpg"
+    # image = Image.open(requests.get(url, stream=True).raw)
 
     inputs = processor(images=image, return_tensors="pt")
+    print("image loaded")
     outputs = model(**inputs)
     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}"
+        )
     return results