运行mmdetection image_demo.py时报错 unknown argument {'texts', 'custom_entities'} for `preprocess`, `forward`, `visualize` and `postprocess`

[HePengguang]

运行mmdetection image_demo.py 时报错 unknown argument {'texts', 'custom_entities'} for preprocess, forward, visualize and postprocess

提前下载好了配置文件和权重文件

运行命令|：python image_demo.py demo.jpg rtmdet_tiny_8xb32-300e_coco.py --weights rtmdet_tiny_8xb32-300e_coco_20220902_112414-78e30dcc.pth --show --device cpu

不知道问题出在哪，请教各位大佬！感谢！

[mm-assistant[bot]]

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[hhaAndroid]

@HePengguang Have you updated your code and configurations to the latest 3.1.0 ?

[HePengguang]

@HePengguang Have you updated your code and configurations to the latest 3.1.0 ?

thanks, it works. The cause of the error was that there were both 3.0.0 and 3.0.1 versions of mmdet in the environment, and then I uninstalled 3.0.0.

[insung3511]

Can I ask you what updated did you? I have the same issue with it; I don't know how to update it. I'm doing dance project in the mmpose repository, and running all of the codes from jupyter notebook demo codes. Here's the error

ValueError                                Traceback (most recent call last)
[/Users/bahk_insung/Documents/Github/just_dance/just_dance_demo.ipynb](https://file+.vscode-resource.vscode-cdn.net/Users/bahk_insung/Documents/Github/just_dance/just_dance_demo.ipynb) Cell 6 line 4
      [2](vscode-notebook-cell:/Users/bahk_insung/Documents/Github/just_dance/just_dance_demo.ipynb#W5sZmlsZQ%3D%3D?line=1) student_poses, teacher_poses = [], []
      [3](vscode-notebook-cell:/Users/bahk_insung/Documents/Github/just_dance/just_dance_demo.ipynb#W5sZmlsZQ%3D%3D?line=2) for frame in VideoReader(student_video):
----> [4](vscode-notebook-cell:/Users/bahk_insung/Documents/Github/just_dance/just_dance_demo.ipynb#W5sZmlsZQ%3D%3D?line=3)     student_poses.append(get_keypoints_from_frame(frame, pose_estimator))
      [5](vscode-notebook-cell:/Users/bahk_insung/Documents/Github/just_dance/just_dance_demo.ipynb#W5sZmlsZQ%3D%3D?line=4) for frame in VideoReader(teacher_video):
      [6](vscode-notebook-cell:/Users/bahk_insung/Documents/Github/just_dance/just_dance_demo.ipynb#W5sZmlsZQ%3D%3D?line=5)     teacher_poses.append(get_keypoints_from_frame(frame, pose_estimator))

File [~/miniconda3/lib/python3.10/site-packages/torch/utils/_contextlib.py:115](https://file+.vscode-resource.vscode-cdn.net/Users/bahk_insung/Documents/Github/just_dance/~/miniconda3/lib/python3.10/site-packages/torch/utils/_contextlib.py:115), in context_decorator.<locals>.decorate_context(*args, **kwargs)
    112 @functools.wraps(func)
    113 def decorate_context(*args, **kwargs):
    114     with ctx_factory():
--> 115         return func(*args, **kwargs)

[/Users/bahk_insung/Documents/Github/just_dance/just_dance_demo.ipynb](https://file+.vscode-resource.vscode-cdn.net/Users/bahk_insung/Documents/Github/just_dance/just_dance_demo.ipynb) Cell 6 line 5
      [1](vscode-notebook-cell:/Users/bahk_insung/Documents/Github/just_dance/just_dance_demo.ipynb#W5sZmlsZQ%3D%3D?line=0) @torch.no_grad()
      [2](vscode-notebook-cell:/Users/bahk_insung/Documents/Github/just_dance/just_dance_demo.ipynb#W5sZmlsZQ%3D%3D?line=1) def get_keypoints_from_frame(image, pose_estimator):
      [3](vscode-notebook-cell:/Users/bahk_insung/Documents/Github/just_dance/just_dance_demo.ipynb#W5sZmlsZQ%3D%3D?line=2)     """Extract keypoints from a single video frame."""
----> [5](vscode-notebook-cell:/Users/bahk_insung/Documents/Github/just_dance/just_dance_demo.ipynb#W5sZmlsZQ%3D%3D?line=4)     det_results = pose_estimator.detector(
      [6](vscode-notebook-cell:/Users/bahk_insung/Documents/Github/just_dance/just_dance_demo.ipynb#W5sZmlsZQ%3D%3D?line=5)         image, return_datasample=True)['predictions']
      [7](vscode-notebook-cell:/Users/bahk_insung/Documents/Github/just_dance/just_dance_demo.ipynb#W5sZmlsZQ%3D%3D?line=6)     pred_instance = det_results[0].pred_instances.numpy()
      [9](vscode-notebook-cell:/Users/bahk_insung/Documents/Github/just_dance/just_dance_demo.ipynb#W5sZmlsZQ%3D%3D?line=8)     if len(pred_instance) == 0 or pred_instance.scores[0] < 0.2:

File [~/Documents/Github/mmdetection/mmdet/apis/det_inferencer.py:361](https://file+.vscode-resource.vscode-cdn.net/Users/bahk_insung/Documents/Github/just_dance/~/Documents/Github/mmdetection/mmdet/apis/det_inferencer.py:361), in DetInferencer.__call__(self, inputs, batch_size, return_vis, show, wait_time, no_save_vis, draw_pred, pred_score_thr, return_datasamples, print_result, no_save_pred, out_dir, texts, stuff_texts, custom_entities, **kwargs)
    298 def __call__(
    299         self,
    300         inputs: InputsType,
   (...)
    317         custom_entities: bool = False,
    318         **kwargs) -> dict:
    319     """Call the inferencer.
    320 
    321     Args:
   (...)
    354         dict: Inference and visualization results.
    355     """
    356     (
    357         preprocess_kwargs,
    358         forward_kwargs,
    359         visualize_kwargs,
    360         postprocess_kwargs,
--> 361     ) = self._dispatch_kwargs(**kwargs)
    363     ori_inputs = self._inputs_to_list(inputs)
    365     if texts is not None and isinstance(texts, str):

File [~/miniconda3/lib/python3.10/site-packages/mmengine/infer/infer.py:611](https://file+.vscode-resource.vscode-cdn.net/Users/bahk_insung/Documents/Github/just_dance/~/miniconda3/lib/python3.10/site-packages/mmengine/infer/infer.py:611), in BaseInferencer._dispatch_kwargs(self, **kwargs)
    609 if union_kwargs != method_kwargs:
    610     unknown_kwargs = union_kwargs - method_kwargs
--> 611     raise ValueError(
    612         f'unknown argument {unknown_kwargs} for `preprocess`, '
    613         '`forward`, `visualize` and `postprocess`')
    615 preprocess_kwargs = {}
    616 forward_kwargs = {}

ValueError: unknown argument {'return_datasample'} for `preprocess`, `forward`, `visualize` and `postprocess`

[yinghaocai]

try to delete the code related to 'return_datasample' or 'custom_entities' in image_demo.py