# coneypo/Dlib_face_recognition_from_camera

Detect and recognize the faces from camera / 调用摄像头进行人脸识别，支持多张人脸同时识别

Repository: https://github.com/coneypo/Dlib_face_recognition_from_camera
Canonical: https://ross.abutalabs.com/products/dlib_face_recognition_from_camera
Homepage: http://www.cnblogs.com/AdaminXie/p/9010298.html
Language: Python
License: MIT
License Family: permissive
Topics: face-recognition, cnn, dlib-face-recognition, resnet-34
Last push: 2024-12-10T11:22:42+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 3036, "days_push": 631, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2477, forks 604 (observed 2026-08-28T04:06:55.120288+00:00)

## What it is
A Python application that performs real-time face detection and recognition from a webcam using Dlib's ResNet-34-based 128D descriptor model and OpenCV. It includes Tkinter/OpenCV GUIs for registering faces into a local database, multi-face recognition, Chinese name display, and object tracking to improve FPS.

## Use cases
- recognize faces from webcam in real time
- build a face database from captured camera images
- register faces with names via a GUI
- identify multiple faces simultaneously in a video stream
- speed up face recognition with object tracking
- display recognized names including Chinese characters

## When to choose
- you want a ready-to-run Python demo of camera-based face recognition with Dlib
- you need face enrollment plus recognition in one project
- you want multi-face real-time recognition with FPS optimizations

## When to avoid
- you need production-grade, scalable face recognition at scale
- you require GPU-accelerated deep learning models beyond Dlib
- you need a library/API to embed rather than a standalone demo application

## Facets
- artifact type: application
- maturity: maintenance
- function: computer-vision, image-processing, gui
- domain: computer-vision, image-processing, artificial-intelligence
- platform: python, cross-platform
- tags: face-recognition, dlib, opencv, camera, resnet-34, face-database, object-tracking

## Member repositories
- coneypo/Dlib_face_recognition_from_camera (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:55.120288+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T02:28:19.748211+00:00, confidence not recorded.
  - readme: https://github.com/coneypo/Dlib_face_recognition_from_camera (fetched 2026-08-28T04:06:55.120288+00:00, sha 3a86f8eec812)
  - homepage: http://www.cnblogs.com/AdaminXie/p/9010298.html (fetched 2026-08-29T10:10:36.145114+00:00, sha b27a9b03338c)
- Data as of 2026-08-30T08:39:29.467469+00:00.