# zuoqing1988/ZQCNN

一款推理框架，同时有很多有用的demo，觉得好用请点星啊

Repository: https://github.com/zuoqing1988/ZQCNN
Canonical: https://ross.abutalabs.com/products/zqcnn
Language: C
License: MIT
License Family: permissive
Last push: 2026-01-28T09:08:09+00:00

## Health v2 (maintenance only)
Score: 61/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 64, release rhythm 35, longevity 100
- inputs: {"age_days": 3043, "days_push": 217, "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 2214, forks 499 (observed 2026-08-28T04:06:27.010507+00:00)

## What it is
ZQCNN is a lightweight deep learning inference framework written in C/C++ that runs on Windows, Linux, and ARM-Linux. It ships with demos for face detection, face recognition, 106-point facial landmarks, head pose estimation, and OCR.

## Use cases
- run face detection on cpu
- deploy face recognition on arm linux
- detect facial landmarks in images
- estimate head pose and gaze from video
- run a lightweight neural network inference engine without gpu
- recognize text from cropped image regions

## When to choose
- you need fast cpu-only face detection or recognition on windows, linux, or arm devices
- you want a small self-contained inference framework without heavy dependencies
- you are building embedded or edge vision applications

## When to avoid
- you need gpu acceleration or broad model ecosystem support like onnx or tensorflow
- you need production-grade OCR with text detection, which is not yet supported
- you prefer actively maintained mainstream frameworks like ncnn or opencv dnn

## Facets
- artifact type: library
- maturity: maintenance
- function: deep-learning, llm-inference, computer-vision, image-processing, ocr
- domain: deep-learning, computer-vision
- platform: windows, cpp, c
- tags: face-detection, face-recognition, mtcnn, ssd, landmark-detection, inference-engine, arm-neon, inference, linux, arm

## Member repositories
- zuoqing1988/ZQCNN (main) score 61

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:27.010507+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 2026-08-30T02:46:00.163023+00:00, confidence not recorded.
  - readme: https://github.com/zuoqing1988/ZQCNN (fetched 2026-08-28T04:06:27.010507+00:00, sha b527ca4e4135)
- Data as of 2026-08-30T08:39:29.467469+00:00.