cmdbug/YOLOv5_NCNN

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

1572 stars · 306 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A mobile demo application that deploys the ncnn inference framework on Android and iOS, running a variety of computer vision models including YOLOv5s, YOLOv4-tiny, NanoDet, Yolact, ChineseOCR-lite, pose estimation, face detection, and segmentation models on the device camera. It serves as a reference implementation for converting and running PyTorch-trained models with ncnn on phones.

Use cases

• run yolo object detection on android phone camera
• deploy ncnn models on ios
• test yolov5 on mobile device
• run pose estimation on smartphone
• on-device ocr with chineseocr-lite
• mobile semantic segmentation demo
• learn how to convert pytorch models to ncnn for mobile

When to choose

• you want a working reference for deploying ncnn vision models on Android or iOS
• you need to benchmark lightweight detection, pose, OCR, or segmentation models on mobile CPUs/GPUs
• you are learning the ncnn mobile deployment workflow end to end

When to avoid

• you need production-ready, actively maintained mobile inference code
• you target platforms other than Android or iOS
• you want server-side or desktop inference rather than on-device mobile deployment

Facets

application · maturity maintenance

computer-vision image-processing machine-learning deep-learning computer-vision mobile-development machine-learning deep-learning cpp ncnn yolov5 object-detection on-device-inference pose-estimation ocr semantic-segmentation face-detection demo-app android ios

Member repositories

For agents

markdown · JSON · MCP: product_card(name="cmdbug/YOLOv5_NCNN")