Xev1L

D-AMP_Toolbox

This package contains the code to run Learned D-AMP, D-AMP, D-VAMP, D-prGAMP, and DnCNN algorithms. It also includes code to train Learned D-AMP, DnCNN, and Deep Image Prior U-net using the SURE loss.

CS-Recovery-Algorithms

Perceptual-CS

Official code for papers "Perceptual Compressive Sensing" at PRCV 2018 and "Fully Convolutional Measurement Network for Compressive Sensing Image Reconstruction" at Neurocomputing 2019.

TIP-CSNet

The training codes, the training data, and some pre-trained models for my TIP paper "Image Compressed Sensing using Convolutional Neural Network".

Reproducible-Deep-Compressive-Sensing

Collection of reproducible deep learning for compressive sensing

pytorch-handbook

pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行

Deep-ADMM-Net

SRG

种子区域生长法图像分割

X-

安检机X光目标检测识别

objdet

实现常用的one-stage和two-stage目标检测网络 华为媒体研究院 图文Caption、OCR识别、图视文多模态理解与生成相关方向工作或实习欢迎咨询 15757172165 https://guanfuchen.github.io/media/hw_zhaopin_20220724_tiny.jpg

make_VOC2007

制作自己的VOC2007数据集用于faster-rcnn目标检测模型训练