Attempted to deploy YOLO to a static web page.
Deployed YOLOv8n in ONNX format for easier cross-platform use, executed model inference through WebAssembly, and used Canvas to draw detection boxes, including basic operations such as image preprocessing.
Both YOLO and the HTML page were placed in object storage. The web page embeds the HTML through an iframe, since placing the HTML directly in the page caused some model loading issues. The object detection task runs directly locally.
尝试将yolo部署到了静态网页。
将YOLOv8n部署为ONNX格式方便跨平台操作，通过webassembly执行模型推理，通过canvas绘制检测框等，包含图像预处理等基础操作。
YOLO和html都放在对象存储，网页使用iframe嵌入html（html直接放在该网页会有一定的模型加载问题）。目标检测任务直接在本地运行。