YOLO-based human pose detection and visualization tool
Project description
YOLO Poser
A Python package for human pose detection and visualization using YOLO.
Installation
pip install yolo-poser
Usage
Command Line
yolo-poser input_video.mp4 --output output.mp4 --output-format h264
Python API
from yolo_poser import process_video
process_video(
input_path="input.mp4",
output_path="output.mp4",
output_format="h264",
debug=True
)
Features
- Human pose detection using YOLO
- Support for multiple output formats (MJPEG, H264, WebM)
- Smooth keypoint tracking
- Debug mode with performance metrics
- Configurable visualization options
Requirements
- Python 3.8+ (<3.13)
- PyTorch
- Ultralytics
- OpenCV
- NumPy
License
MIT License
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
yolo_poser-0.1.2.tar.gz
(5.6 MB
view details)
Built Distribution
File details
Details for the file yolo_poser-0.1.2.tar.gz
.
File metadata
- Download URL: yolo_poser-0.1.2.tar.gz
- Upload date:
- Size: 5.6 MB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: python-requests/2.32.3
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 01d4d546f26c87eb9bf287054cd562afb0ba8947cb1fe38fb822d4339186a3a8 |
|
MD5 | 7230efbbc64d9d30f405f77ab1bde03e |
|
BLAKE2b-256 | e3602c3de79a9c344d67d24f4053a2e9783a7b315cb81894b88c5d1b25a39653 |
File details
Details for the file yolo_poser-0.1.2-py3-none-any.whl
.
File metadata
- Download URL: yolo_poser-0.1.2-py3-none-any.whl
- Upload date:
- Size: 5.6 MB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: python-requests/2.32.3
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 54e1c271bdc8677c7d99e5c5b5b5b102a88dafb9a1342f9317067f051f2c1266 |
|
MD5 | 4499701814d1d09e4b8076d62537f61d |
|
BLAKE2b-256 | 7bc86c27c8eaa0fab0ea0b1b1f7ee2d5055a516516fce2239efdc18942bd822f |