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The project is a simple example about how to use TensorFlow to train a ConNet model from labeled dataset and then use DNNDK tools to deploy the model into Xilinx FPGA(ZCU102 board). To make it easier to deploy with DNNDK. I just use numpy array as input data and OpenCV function to open images.
License: MIT License