Update app.py

app.py

@@ -14,7 +14,9 @@ def anylize(img):
     inputs = processor(images=image, return_tensors="pt")
     outputs = model(**inputs)
 
-    target_sizes = torch.tensor([image.size])
+    #target_sizes = torch.tensor([image.size])
+    #target_sizes = torch.tensor([image.size[::-1]])
+    target_sizes = torch.tensor([image.shape[:2]])
     results = processor.post_process_object_detection(outputs, target_sizes=target_sizes, threshold=0.9)[0]
 
     for score, label, box in zip(results["scores"], results["labels"], results["boxes"]):