[more] Deep learning model deployment based on NVIDIA Jetson AGX Orin
Published in Nanjing University of Aeronautics and Astronautics, department of Automation, 2022
– Organized merchandise from numerous clients preparing them to be shot in photo studio.
– Build an end-to-end dehazing network based on the SwinTransformer model under the GAN architecture, and conduct training and verification on the dehazing dataset.
– Reduce the amount of model parameters and calculations through cheap convolution, network clipping, model quantification and other model lightweight technologies.
– Combine the dehazing network with the YOLOv5 target The target detection network is deployed on NVIDIA edge computing devices.
Deep learning model deployment process 
Process of the project