Creator  Yifu Tsang

🚀 About the author

Yifu Zeng, engaged in artificial intelligence research and development; main research field: computer vision; YOLOv8 official open source project code contributor; YOLOv5 official open source project code Contributors; YOLOv5 v6.1 code contributors; YOLOv5 v6.2 code contributor; [YOLOv5 v7.0 code contributor](https://github.com /ultralytics/yolov5/releases/tag/v7.0); Gradio official open source project code contributor

❤️ Github: https://github.com/Zengyf-CVer

🔥 YOLOv8 official open source project PR ID:

• Fix YOLOv8 Chinese introduction: https://github.com/ultralytics/ultralytics/pull/219
• Add codespell and upgrade some components: https://github.com/ultralytics/ultralytics/pull/599
• Add pycln: https://github.com/ultralytics/ultralytics/pull/7141
• Fix heatmap width and height parameter bug: https://github.com/ultralytics/ultralytics/pull/7368
• ultralytics 8.0.237 cv2.CAP_PROP fix and in_counts and out_counts displays: https://github.com/ultralytics/ultralytics/pull/7380

💡 Ultralytics v8.1.0 code contribution link:

• https://github.com/ultralytics/ultralytics/releases/tag/v8.1.0

🔥 YOLOv5 official open source project PR ID:

• Save *.npy features on detect.py --visualize: https://github.com/ultralytics/yolov5/pull/5701
• Fix detect.py --view-img for non-ASCII paths: https://github.com/ultralytics/yolov5/pull/7093
• Fix Flask REST API: https://github.com/ultralytics/yolov5/pull/7210
• Add yesqa to precommit checks: https://github.com/ultralytics/yolov5/pull/7511
• Add mdformat to precommit checks and update other version: https://github.com/ultralytics/yolov5/pull/7529
• Add TensorRT dependencies: https://github.com/ultralytics/yolov5/pull/8553
• Add paddle tips: https://github.com/ultralytics/yolov5/pull/9502

💡 YOLOv5 v6.1 & v6.2 & v7.0 code contribution link:

• https://github.com/ultralytics/yolov5/releases/tag/v6.1
• https://github.com/ultralytics/yolov5/releases/tag/v6.2
• https://github.com/ultralytics/yolov5/releases/tag/v7.0

🔥 Gradio official open source project PR ID:

• Create a color generator demo: https://github.com/gradio-app/gradio/pull/1872

🚀Deep learning field

🚀General computer vision demonstration system: Gradio-YOLOv8-Det

• Gradio-based YOLOv8 general computer vision demonstration system integrates target detection, image segmentation and image classification, and can customize the detection model

🚀Universal target detection demonstration system: Gradio-YOLOv5-Det

• YOLOv5 universal target detection demonstration system based on Gradio

🚀Universal target detection demonstration system (extended version): Gradio-YOLOv5-Det-Blocks

• YOLOv5 universal target detection demonstration system based on Gradio Blocks, an extended version of the Gradio YOLOv5 Det project

🚀JavaScript target detection project: YOLOv5-RT-TFJS

• YOLOv5 real-time target detection project based on TensorFlow.js, supporting custom models. Easy to use and highly portable.

🚀Face image filtering and management tool: Face-Img-Filter

• Face image filtering and management tool based on YOLOv8

🚀YOLOv5 model conversion project: Streamlit YOLOv5 Model2X

• YOLOv5 model conversion visualization tool based on Streamlit

🚀OCR translation system: OCR-Translate

• OCR translation system based on Tesseract

🚀Face recognition project: Face Recognition Hub

• Face recognition demonstration system based on Gradio and Streamlit

🔥Data collection and processing

🚀Computer vision data collection tool: opencv-webcam-script

• opencv-webcam-script, referred to as OWS, is suitable for computer vision data collection, video frame collection, etc. It has the characteristics of convenient installation, simple operation, and cross-platform.

🚀Intelligent face data labeling: Face Labeling

• Intelligent face data annotation tool based on YOLOv5

💡Project language

Python

JavaScript

Java

ArkTS

Jupyter

HarmonyOS

Android

Flutter

Go

Rust

Bash Shell

HTML