frankmocap | use Single View 3D Hand+Body Pose Estimator | Computer Vision library
kandi X-RAY | frankmocap Summary
kandi X-RAY | frankmocap Summary
FrankMocap pursues an easy-to-use single view 3D motion capture system developed by Facebook AI Research (FAIR). FrankMocap provides state-of-the-art 3D pose estimation outputs for body, hand, and body+hands in a single system. The core objective of FrankMocap is to democratize the 3D human pose estimation technology, enabling anyone (researchers, engineers, developers, artists, and others) can easily obtain 3D motion capture outputs from videos and images.
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Top functions reviewed by kandi - BETA
- Integrate and copy the input matrix .
- Enable rendering of the scene .
- Draw meshes .
- Generates a mesh .
- Runs the hand mocap .
- Key event handler .
- Runs the body mocap .
- Densepose image .
- Run a fragmap .
- Load gaggle data .
frankmocap Key Features
frankmocap Examples and Code Snippets
## Flag definitions:
## -- checkpoint: path to saved pretrained model
## --data_dir: directory where all of the `*_prediction_result.pkl` files are saved
## --tag (optional) naming prefix for saving results
## to run on output smplx files from fran
Community Discussions
Trending Discussions on frankmocap
QUESTION
I have git cloned phosa git repo which depends on 3 other git repos. I have git cloned those three and have modified their codes as needed. I now want to push the changes to my private git repo but I get the following warning.
How can I push the changes for these 3 git repo cloned inside the phosa repo by me?
...ANSWER
Answered 2021-Jan-05 at 21:35You should fork each of the dependency repos individually and push your modifications to those personal forks. You can do this by adding a remote to your cloned local repos with git remote
.
Then you can modify the dependencies in your clone of the phosa repo to use your personal versions of these dependencies.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install frankmocap
Run body motion capture. Run hand motion capture. Run whole body motion capture.
Run body motion capture # using a machine with a monitor to show output on screen python -m demo.demo_bodymocap --input_path ./sample_data/han_short.mp4 --out_dir ./mocap_output # screenless mode (e.g., a remote server) xvfb-run -a python -m demo.demo_bodymocap --input_path ./sample_data/han_short.mp4 --out_dir ./mocap_output
Run hand motion capture # using a machine with a monitor to show outputs on screen python -m demo.demo_handmocap --input_path ./sample_data/han_hand_short.mp4 --out_dir ./mocap_output # screenless mode (e.g., a remote server) xvfb-run -a python -m demo.demo_handmocap --input_path ./sample_data/han_hand_short.mp4 --out_dir ./mocap_output
Run whole body motion capture # using a machine with a monitor to show outputs on screen python -m demo.demo_frankmocap --input_path ./sample_data/han_short.mp4 --out_dir ./mocap_output # screenless mode (e.g., a remote server) xvfb-run -a python -m demo.demo_frankmocap --input_path ./sample_data/han_short.mp4 --out_dir ./mocap_output
Note: Above commands use openGL by default. If it does not work, you may try alternative renderers (pytorch3d or openDR). See the readme of each module for details
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