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FeatherCNN by Tencent: 嵌入式平台上的 CNN 库

https://github.com/Tencent/FeatherCNN

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FeatherCNN, developed by Tencent TEG AI Platform, is a high-performance lightweight CNN inference library. FeatherCNN is currently targeting at ARM CPUs, and is capable to extend to other devices in the future.

Comparing with other libraries, FeatherCNN is

  • Highly Performant FeatherCNN delivers state-of-the-art inference computing performance on a wide range of devices, including mobile phones (iOS/Android), embedded devices (Linux) as well as ARM-based servers (Linux).

  • Easily Deployable FeatherCNN packs everything in a single code base to get rid of third-party dependencies. Hence, it facilitates deployment on mobile platforms. FeatherCNN’s own model format is fully compatible with Caffe models. We are working to provide compatibility with other pre-trained models.

  • Featherweight The compiled FeatherCNN library is in small size of several hundred KBs.

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转载自blog.csdn.net/baishuo8/article/details/82705545
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