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dpu-cross-check

A tutorial of how to verify DPU inference result with DNNDK tools.

dw2tf

Darknet Weights to TensorFlow

edge-ai-platform-tutorials

Tutorials for the Edge AI Platform

flower_classification_vai_tf_dataset

The project show how to quick train a model and deploy it on Xilinx FPGA using TensorFlow and Vitis AI. It uses tf.data.Dataset API to handle input data, so that the input function need to be rewritten. And there is a backup for DNNDK 3.1 tag

flower_classification_vai_tf_numpy_array

The project is a simple example about how to use TensorFlow to train a ConNet model from labeled dataset and then use Vitis AI tools to deploy the model into Xilinx FPGA(ZCU102 board). To make it easier to deploy with Vitis AI. I just use numpy array as input data and OpenCV function to open images. And there is backup for DNNDK3.1 tag

imagenet_vai_tf_train2deploy

This tutorial descibe about how to train a custom network from imagenet dataset and deploy it on ZCU102 via Vitis AI

keras-yolo3

A Keras implementation of YOLOv3 (Tensorflow backend)

learning_on_object_detection_and_classification

learning_on_tensorflow

A record for learning TensorFlow and Keras

vitis-ai

vitis-in-depth-tutorial

vitis_ai_custom_platform_flow

This project is trying to create a base vitis platform to run with DPU

vitis_ai_custom_platform_v1.2_tmp

For v1.2 test