Implementation and Acceleration of Image Recognition Algorithm under Limited Resources

In recent years, with the development of artificial intelligence and Internet of Things technology, more and more neural network models need to run on the mobile terminals. In order to better run the neural network model on the embedded chip with limited resources, we propose a method for efficiently transplanting and implementing MobileNet model, and utilize C66xDSP for model inference accelerati...