#67 · Primary category: Computer Vision
face-alignment
:fire: 2D and 3D Face alignment library build using pytorch
Project last updated:04/06/26
GitHub Stars
7.5K
Forks
1.4K
Contributors
26
License
BSD-3-Clause
Why we included this project
This library wraps the FAN face alignment network in a short Python API, so a few lines of code turn a single image or a whole directory into 2D or 3D landmark coordinates for the eyes, nose, mouth, and jaw. That output is the usual raw material for AR filters, expression analysis, head-pose estimation, or cleaning up training datasets, and it saves you from implementing alignment from scratch. You can also swap the default face detector for another one if your accuracy or speed needs differ. For teams that want a focused landmark detector rather than a full face-recognition pipeline, the narrow API is easy to integrate into existing work.
Articles for this project
No articles for this project yet.
To suggest a topic or contribute an article, contact us.
Related projects in this category
opencv
Open Source Computer Vision Library
RuView
π RuView turns commodity WiFi signals into real-time spatial intelligence, vital sign monitoring, and presence detection — all without a single pixel of video.
PaddleOCR
Turn any PDF or image document into structured data for your AI. A powerful, lightweight OCR toolkit that bridges the gap between images/PDFs and LLMs. Supports 100+ languages.
MinerU
Transforms complex documents like PDFs and Office docs into LLM-ready markdown/JSON for your Agentic workflows.
tesseract
Tesseract Open Source OCR Engine (main repository)