nihui/ncnn-webassembly-yolov5
Deploy YOLOv5 in your web browser with ncnn and webassembly
This project helps web developers integrate real-time object detection capabilities directly into web browsers. By taking a pre-trained YOLOv5 model, it compiles it to run efficiently in a browser environment, enabling applications to identify and localize objects within images or video streams without needing a backend server. A web developer who wants to add client-side computer vision features to their web application would use this.
154 stars. No commits in the last 6 months.
Use this if you are a web developer who needs to run a YOLOv5 object detection model directly in a user's web browser, reducing server load and enabling offline or low-latency applications.
Not ideal if you need to train a new YOLOv5 model, or if your application requires object detection on the server-side for large-scale processing or complex models.
Stars
154
Forks
30
Language
C++
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Last pushed
Feb 27, 2023
Commits (30d)
0
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