mirror of https://github.com/ZHKKKe/MODNet.git
Update PPM Info
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README.md
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README.md
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<a href="#contact">Contact</a>
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<a href="#contact">Contact</a>
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</p>
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</p>
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**News:** The PPM-100 benchmark is released in [this repository](https://github.com/ZHKKKe/PPM)!
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---
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---
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@ -46,11 +47,11 @@ Now you can try our **portrait image matting** online via [this website](https:/
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<!-- You can also scan the QR code below to try the WeChat Mini-Program based on our model.
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<!-- You can also scan the QR code below to try the WeChat Mini-Program based on our model.
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您也可以扫描下方二维码尝试基于我们模型的微信小程序。 -->
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您也可以扫描下方二维码尝试基于我们模型的微信小程序。 -->
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The API interface for **portrait image matting** is published on [RapidAPI - Portrait Solo](https://rapidapi.com/sight-x-technology-sight-x-technology-default/api/portrait-solo/). Pay-as-you-go for small-scale use at affordable prices.
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The API interface for **portrait image matting** is published on [RapidAPI - Portrait Solo](https://rapidapi.com/sight-x-technology-sight-x-technology-default/api/portrait-solo/).
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**图片抠像**的商用API接口已发布在[RapidAPI - Portrait Solo](https://rapidapi.com/sight-x-technology-sight-x-technology-default/api/portrait-solo/)。适合小规模使用的按需付费。
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**图片抠像**的商用API接口已发布在[RapidAPI - Portrait Solo](https://rapidapi.com/sight-x-technology-sight-x-technology-default/api/portrait-solo/)。
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If you are interest in a **portrait image matting SDK**, please contact `business@sight-x.com`.
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<!-- If you are interest in a **portrait image matting SDK**, please contact `business@sight-x.com`.
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如果您对**图片抠像SDK**感兴趣,请联系`business@sight-x.com`。
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如果您对**图片抠像SDK**感兴趣,请联系`business@sight-x.com`。 -->
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<!-- Here are two example videos processed (frame independently) via our **portrait image matting** model:
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<!-- Here are two example videos processed (frame independently) via our **portrait image matting** model:
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我们**图片抠像**模型逐帧单独处理的两个示例视频:
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我们**图片抠像**模型逐帧单独处理的两个示例视频:
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@ -119,7 +120,7 @@ In the code comments, we provide examples for using the functions.
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## PPM Benchmark
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## PPM Benchmark
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The PPM benchmark will be released in a separate repository [PPM](https://github.com/ZHKKKe/PPM).
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The PPM benchmark is released in a separate repository [PPM](https://github.com/ZHKKKe/PPM).
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## License
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## License
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