hitsz-zuoqi's repositories
Binoculars-tutorial
Written by python.For study but not commercial. If you feel it helps, star for me!
RGBD-SLAM-based-on-ORB
This is the program following the blog of Gao Xiang and rewrite some code using some properties of c++11
awesome-hand-pose-estimation
Awesome work on hand pose estimation/tracking
CosFace_pytorch
Pytorch implementation of CosFace
davis2017-evaluation
Evaluation Framework for DAVIS 2017 Semi-supervised and Unsupervised used in the DAVIS Challenges
FasterSeg
[ICLR 2020] "FasterSeg: Searching for Faster Real-time Semantic Segmentation" by Wuyang Chen, Xinyu Gong, Xianming Liu, Qian Zhang, Yuan Li, Zhangyang Wang
InsightFace_Pytorch
Pytorch0.4.1 codes for InsightFace
learnopencv
Learn OpenCV : C++ and Python Examples
librealsense
Intel® RealSense™ SDK
MZSR
Meta-Transfer Learning for Zero-Shot Super-Resolution (CVPR, 2020)
NetVLAD-Example-on-Colab
NetVLAD Example on colab
ORB_SLAM2_SSD_Semantic
动态语义SLAM 目标检测+VSLAM+光流/多视角几何动态物体检测+octomap地图+目标数据库
PaddleDetection
Object detection and instance segmentation toolkit based on PaddlePaddle.
png_to_klg
klg format convertor for ElasticFusion (ICL-NUM file)
pumpkin-book
《机器学习》(西瓜书)公式推导解析,在线阅读地址:https://datawhalechina.github.io/pumpkin-book
python-api-tesing
python中文库-python人工智能大数据自动化接口测试开发。 书籍下载及python库汇总https://china-testing.github.io/
Pytorch_Face_Recognition-
Pytorch implementation of mainstream face recognition algorithms(ArcFace, CosFace).
semantic-segmentation-pytorch
Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset
Semantic-Segmentation-Suite
Semantic Segmentation Suite in TensorFlow. Implement, train, and test new Semantic Segmentation models easily!
senet.pytorch
PyTorch implementation of SENet
slimmable_networks
Slimmable Networks, AutoSlim, and Beyond, ICLR 2019, and ICCV 2019
SR_Framework
A generic framework which implements all famouts super-resolution models
toolbox
various tools such as label-tools , data-augmentation , etc.
VSR-DUF-Reimplement
It is a re-implementation of paper named "Deep Video Super-Resolution Network Using Dynamic Upsampling Filters Without Explicit Motion Compensation" called VSR-DUF model. There are both training codes and test codes about VSR-DUF based tensorflow.