Open liming-ai opened 10 months ago
The script browse_dataset.py
has not supported argument skeleton_style
. Please add skeleton_style="openpose"
at https://github.com/open-mmlab/mmpose/blob/6d10b2ec81da7e252016b3154c7fdb46c403ecd8/tools/misc/browse_dataset.py#L100 and https://github.com/open-mmlab/mmpose/blob/6d10b2ec81da7e252016b3154c7fdb46c403ecd8/tools/misc/browse_dataset.py#L151
manually
The script
browse_dataset.py
has not supported argumentskeleton_style
. Please addskeleton_style="openpose"
atmanually
Thanks for your kindly help!
Hi @Ben-Louis,
The instructions work for the COCO dataset. After that, I tried to use the same workflow to browse the HumanArt dataset by replacing configs, but some strange error happened.
Here is my command:
python3 tools/misc/browse_dataset.py \
configs/body_2d_keypoint/topdown_heatmap/humanart/td-hm_hrnet-w32_8xb64-210e_humanart-256x192.py \
--output-dir visualized_pose/humanart/train --mode original
And the error is:
File "/home/chenchen/liming/code/mmpose/tools/misc/browse_dataset.py", line 167, in <module>
main()
File "/home/chenchen/liming/code/mmpose/tools/misc/browse_dataset.py", line 151, in main
visualizer.add_datasample(
File "/home/chenchen/anaconda3/envs/reward_control/lib/python3.10/site-packages/mmengine/dist/utils.py", line 401, in wrapper
return func(*args, **kwargs)
File "/home/chenchen/anaconda3/envs/reward_control/lib/python3.10/site-packages/mmpose/visualization/local_visualizer.py", line 515, in add_datasample
gt_img_data = self._draw_instances_kpts(
File "/home/chenchen/anaconda3/envs/reward_control/lib/python3.10/site-packages/mmpose/visualization/local_visualizer.py", line 302, in _draw_instances_kpts
raise ValueError(
ValueError: the length of kpt_color (17) does not matches that of keypoints (18)
I have no idea why this error happened, since both COCO and HumanArt only have 17 keypoints. I also print the shape with data_sample.gt_instances.keypoints.shape
, and the results are both (1, 17, 2)
for COCO and HumanArt
Currently, the openpose style visualization only supports skeleton in COCO and COCO-Wholebody datasets https://github.com/open-mmlab/mmpose/blob/6d10b2ec81da7e252016b3154c7fdb46c403ecd8/mmpose/visualization/local_visualizer.py#L157-L169
Thanks for your reply. Could you please tell me how I should modify it to visualize these poses in the openpose style? I would appreciate it if you could give me some guidance.
What is the feature?
Brower datasets with OpenPose visualized format?
Any other context?
I tried to run
But the visualized results are different from openpose visualizations