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@paddlejs-models/mobilenet
Advanced tools
mobilenet model can classify img. It provides simple interfaces to use. You can use your own category model to classify img.
npm install
npm run dev
import * as mobilenet from '@paddlejs-models/mobilenet';
// You need to specify your model path and the binary file count
// If your has mean and std params, you need to specify them.
// map is the results your model can classify.
await mobilenet.load({
path,
mean: [0.485, 0.456, 0.406],
std: [0.229, 0.224, 0.225]
}, map);
// get the result the mobilenet model classified.
const res = await mobilenet.classify(img);
mobileNet:https://paddlejs.baidu.com/mobilenet
wine:https://paddlejs.baidu.com/wine

FAQs
[中文版](./README_cn.md)
The npm package @paddlejs-models/mobilenet receives a total of 2 weekly downloads. As such, @paddlejs-models/mobilenet popularity was classified as not popular.
We found that @paddlejs-models/mobilenet demonstrated a not healthy version release cadence and project activity because the last version was released a year ago. It has 5 open source maintainers collaborating on the project.
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