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ShaderNN is a lightweight deep learning inference framework optimized for Convolutional Neural Networks. It provides high-performance inference for deep learning applications in image and graphics process on mobile devices.
Style Transfer example running on Android demo app using ShaderNN framework is shown below. The pretrained models are inferenced to showcase styles like Candy, Mosaic, Rain Princess and Udnie.
ShaderNN makes use of the following third party libraries:
ShaderNN makes use of models trained and converted from Tensorflow, PyTorch and ONNX, and uses Netron visualizer:
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