facial-recognition-pipeline

facial-recognition-pipeline

Morteza-Asadi-Shalmaiy

Local, API-free multi-stage identity pipeline: face recognition → liveness detection → super-resolution fallback → person Re-ID, built for realistic CCTV-style conditions.

113 Stars
15 Forks
4 Watchers
Jupyter Notebook Language
mit License
100 SrcLog Score
Cost to Build
$21.5K
Market Value
$61.5K

Growth over time

3 data points  ·  2026-08-13 → 2026-10-04
Stars Forks Watchers
💬

How do you feel about this project?

Ask AI about facial-recognition-pipeline

Question copied to clipboard

What is the Morteza-Asadi-Shalmaiy/facial-recognition-pipeline GitHub project? Description: "Local, API-free multi-stage identity pipeline: face recognition → liveness detection → super-resolution fallback → person Re-ID, built for realistic CCTV-style conditions.". Written in Jupyter Notebook. Explain what it does, its main use cases, key features, and who would benefit from using it.

Question is copied to clipboard — paste it after the AI opens.

How to clone facial-recognition-pipeline

Clone via HTTPS

git clone https://github.com/Morteza-Asadi-Shalmaiy/facial-recognition-pipeline.git

Clone via SSH

[email protected]:Morteza-Asadi-Shalmaiy/facial-recognition-pipeline.git

Download ZIP

Download main.zip

Found an issue?

Report bugs or request features on the facial-recognition-pipeline issue tracker:

Open GitHub Issues