RuntimeError: An image must be set with .set_image(...) before mask prediction.

Dear author, I recently tried to use groundingdino_sam in a segmentation task. However, when I ran the code, it shows this error, do you know why this problem happens? Traceback (most recent call last): File "foreground_utils.py", line 50, in extract_foreground_pil masks, _, _ = sam2_predictor.predict( File "sam2/sam2_image_predictor.py", line 281, in predict raise RuntimeError( RuntimeError: An image must be set with .set_image(...) before mask prediction. These are my code: image_source, image = load_image(pil_image) sam2_predictor.set_image(image_source) boxes, _, _ = predict( model=grounding_model, image=image, caption=text_prompt, box_threshold=BOX_THRESHOLD, text_threshold=TEXT_THRESHOLD, device=device ) h, w, _ = image_source.shape boxes = boxes * torch.Tensor([w, h, w, h]) input_boxes = box_convert(boxes=boxes, in_fmt="cxcywh", out_fmt="xyxy").numpy() with torch.autocast(device_type=device.split(":")[0], dtype=torch.bfloat16): masks, _, _ = sam2_predictor.predict( point_coords=None, point_labels=None, box=input_boxes, multimask_output=False, )