/Application-of-Deep-Learning-in-Image-Processing

Primary LanguagePython

Application-of-Deep-Learning-in-Image-Processing

Preface

  • Introduce the structure and innovation of the network
  • Use Pytorch to build and train the network

Directory (it will be added later according to the learning content)

  • Image classification

    • LeNet
    • AlexNet
    • VggNet

  • Object Detection

  • Semantic Segmentation

  • Instance Segmentation

Required environment

  • Anaconda3
  • python3.6/3.7/3.8
  • pycharm (IDE) or spyder (IDE)
  • pytorch 1.10 (pip package)
  • torchvision 0.11.1 (pip package)
  • tensorflow 2.4.1 (pip package)