Update README.md

README.md

@@ -50,7 +50,7 @@ outputs = model(**inputs)
 # Target image sizes (height, width) to rescale box predictions [batch_size, 2]
 target_sizes = torch.Tensor([image.size[::-1]])
 # Convert outputs (bounding boxes and class logits) to COCO API
-results = processor.post_process(outputs=outputs, target_sizes=target_sizes)
+results = processor.post_process_object_detection(outputs=outputs, target_sizes=target_sizes)
 
 i = 0  # Retrieve predictions for the first image for the corresponding text queries
 text = texts[i]