natanielruiz/deep-head-pose
:fire::fire: Deep Learning Head Pose Estimation using PyTorch.
This tool helps researchers and computer vision engineers analyze head movements in videos. You feed it video footage, optionally with pre-detected face bounding boxes, and it outputs precise estimations of where people's heads are facing. This is useful for anyone studying human behavior, attention, or interaction through video analysis.
1,660 stars. No commits in the last 6 months.
Use this if you need to automatically determine the orientation of heads in video recordings for research or application development.
Not ideal if you need a solution that runs without a GPU or if you are not comfortable with basic command-line operations and Python environments.
Stars
1,660
Forks
370
Language
Python
License
—
Category
Last pushed
May 23, 2023
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/natanielruiz/deep-head-pose"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Related frameworks
talmolab/sleap
A deep learning framework for multi-animal pose tracking.
kennymckormick/pyskl
A toolbox for skeleton-based action recognition.
open-mmlab/mmaction2
OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark
jgraving/DeepPoseKit
a toolkit for pose estimation using deep learning
DenisTome/Lifting-from-the-Deep-release
Implementation of "Lifting from the Deep: Convolutional 3D Pose Estimation from a Single Image"