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add MNN/TNN/ONNXRuntime C++ demo #72

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add MNN/TNN/ONNXRuntime C++ demo #72

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add MNN/TNN/ONNXRuntime C++ demo
DefTruth Jun 12, 2022
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add MNN/TNN/ONNXRuntime C++ demo
DefTruth Jun 12, 2022
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3 changes: 3 additions & 0 deletions README.md
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Expand Up @@ -153,6 +153,9 @@ A：不能。该模型是针对本项目训练的专用模型，需先裁剪出
## Tips
我们开源的模型是基于亚洲年轻女性训练的，对于其他人群覆盖不足，您可根据使用场景自行收集相应人群的数据进行训练。我们的[开放平台](https://ai.minivision.cn/#/coreability/cartoon)提供了能够覆盖各类人群的卡通化服务，您可前往体验。如有定制卡通风格需求请联系商务:18852075216。

## 第三方资源
[MNN C++](https://github.com/DefTruth/lite.ai.toolkit/blob/main/lite/mnn/cv/mnn_female_photo2cartoon.cpp), [TNN C++](https://github.com/DefTruth/lite.ai.toolkit/blob/main/lite/tnn/cv/tnn_female_photo2cartoon.cpp) 和 [ONNXRuntime C++](https://github.com/DefTruth/lite.ai.toolkit/blob/main/lite/ort/cv/female_photo2cartoon.cpp) 推理，来自 [lite.ai.toolkit](https://github.com/DefTruth/lite.ai.toolkit) C++ AI 模型工具箱。

## 参考
U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image Translation [[Paper](https://arxiv.org/abs/1907.10830)][[Code](https://github.com/znxlwm/UGATIT-pytorch)]

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3 changes: 3 additions & 0 deletions README_EN.md
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Expand Up @@ -150,6 +150,9 @@ A: We found that the experimental result calculated Face ID Loss by our internal
#### Q：Can I use the segmentation model to predict half-length portrait?
A：No. The model is trained for croped face specifically.

## Third-party Resources
[MNN C++](https://github.com/DefTruth/lite.ai.toolkit/blob/main/lite/mnn/cv/mnn_female_photo2cartoon.cpp), [TNN C++](https://github.com/DefTruth/lite.ai.toolkit/blob/main/lite/tnn/cv/tnn_female_photo2cartoon.cpp) and [ONNXRuntime C++](https://github.com/DefTruth/lite.ai.toolkit/blob/main/lite/ort/cv/female_photo2cartoon.cpp) inference from [lite.ai.toolkit](https://github.com/DefTruth/lite.ai.toolkit).

## Reference

U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image Translation [[Paper](https://arxiv.org/abs/1907.10830)][[Code](https://github.com/znxlwm/UGATIT-pytorch)]
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