Getting an error when using open pose

Nobody has claimed this yet.

I'm just trying open pose for the first time in img2img.

Have uploaded an image to img2img.

Chosen a control image in ControlNet.

Chose openpose for preprocessor and control_openpose-fp16 [9ca67cc5] for the model.

I am getting the error as follows:

```
Loading model: control_openpose-fp16 [9ca67cc5]
Loaded state_dict from [C:\stable-diffusion-webui-directml\extensions\sd-webui-controlnet\models\control_openpose-fp16.safetensors]
ControlNet model control_openpose-fp16 [9ca67cc5] loaded.
Loading preprocessor: openpose
Error running process: C:\local\sd\stable-diffusion-webui-directml\extensions\sd-webui-controlnet\scripts\controlnet.py
Traceback (most recent call last):
File "C:\local\sd\stable-diffusion-webui-directml\modules\scripts.py", line 386, in process
script.process(p, *script_args)
File "C:\local\sd\stable-diffusion-webui-directml\extensions\sd-webui-controlnet\scripts\controlnet.py", line 652, in process
detected_map = preprocessor(input_image, res=pres, thr_a=pthr_a, thr_b=pthr_b)
File "C:\local\sd\stable-diffusion-webui-directml\extensions\sd-webui-controlnet\scripts\processor.py", line 129, in openpose
result, _ = model_openpose(img, has_hand)
File "C:\local\sd\stable-diffusion-webui-directml\extensions\sd-webui-controlnet\annotator\openpose\__init__.py", line 50, in apply_openpose
candidate, subset = body_estimation(oriImg)
File "C:\local\sd\stable-diffusion-webui-directml\extensions\sd-webui-controlnet\annotator\openpose\body.py", line 57, in __call__
heatmap = cv2.resize(heatmap, (0, 0), fx=stride, fy=stride, interpolation=cv2.INTER_CUBIC)
cv2.error: OpenCV(4.7.0) :-1: error: (-5:Bad argument) in function 'resize'
> Overload resolution failed:
> - src data type = 23 is not supported
> - Expected Ptr for argument 'src'
```

Any ideas what I could have done wrong?

Start with extensions/sd-webui-controlnet/scripts/processor.py and annotator/openpose/body.py, following the openpose call from the traceback. Reproduce the img2img workflow with the stated preprocessor and model, then inspect the OpenCV resize failure and related environment or input handling. Done means openpose preprocessing completes without the reported cv2.error.

Written by the indexing model from the issue text.