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Provide a sample demo for users to refer to, and they can directly run the sample app to verify the NN environment of C3V.
Provide Libs and header files for users to integrate specific NN modules into their applications using the standard interfaces we provide.
Provide COMPILE SH to enable users to easily compile NN framework and locate generated resources in the specified release directory.
Open source the NN Framework to facilitate users to better understand the internal operations of NNF. In the next version, we will distinguish between official and customized partitions, making it easier for users to add their own models or copy an official model to a customized partition for customized modifications.
Beta release resource
Please get the beta release resource here.
Usage of the beta release
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How to build NN framework
CompileCross-compile for C3V environment.
a. Please use nnf_build.sh for NN framework compiling.
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b. Run nnf_run.sh will auto set environment variables.
Then, you can run nnf_run.sh for NNF sample.
Models of the
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beta release
Model Name | Version or Path |
Optical character recognition |
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Age recognition | https://gitcode.com/smahesh29/Gender-and-Age-Detection/commits/master 7c024d9d453c9b35a72a984d8821b5832ef17401 |
Yolov8 Detection |
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