DJW cdece0b32a 第一次提交 | 9 月之前 | |
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.. | ||
README.md | 9 月之前 | |
README_CN.md | 9 月之前 | |
download_models.sh | 9 月之前 | |
install_posetracker_linux.sh | 9 月之前 | |
mmpose_openpose.sh | 9 月之前 | |
mmpose_style_skeleton.sh | 9 月之前 | |
openpose_visualization.py | 9 月之前 |
English | 简体中文
This project will demonstrate how to use MMPose to generate skeleton images for pose guided AI image generation.
Currently, we support:
Please feel free to share interesting pose-guided AIGC projects to us!
Run the following commands to prepare the project:
# install mmpose mmdet
pip install openmim
git clone https://github.com/open-mmlab/mmpose.git
cd mmpose
mim install -e .
mim install "mmdet>=3.0.0rc6"
# download models
bash download_models.sh
Run the following command to generate a skeleton image:
# generate a skeleton image
bash mmpose_openpose.sh ../../tests/data/coco/000000000785.jpg
The input image and its skeleton are as follows:
Env Requirements:
Run the following commands to install the project:
bash install_posetracker_linux.sh
After installation, files are organized as follows:
|----mmdeploy-1.0.0-linux-x86_64-cxx11abi
| |----README.md
| |----rtmpose-ort
| | |----rtmdet-nano
| | |----rtmpose-m
| | |----000000147979.jpg
| | |----t2i-adapter_skeleton.txt
Run the following command to generate a skeleton image:
# generate a skeleton image
bash mmpose_style_skeleton.sh \
mmdeploy-1.0.0-linux-x86_64-cxx11abi/rtmpose-ort/000000147979.jpg
For more details, you can refer to RTMPose.
The input image and its skeleton are as follows:
The demo page of T2I- Adapter is Here.