Update README.md

README.md

@@ -48,7 +48,7 @@ outputs = model(**inputs)
 
 # convert outputs (bounding boxes and class logits) to Pascal VOC format (xmin, ymin, xmax, ymax)
 target_sizes = torch.tensor([image.size[::-1]])
-results = image_processor.post_process_object_detection(outputs, threshold=0.9, target_sizes=target_sizes)[0]
+results = image_processor.post_process_object_detection(outputs, threshold=0.7, 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(