Pinned Repositories
aimet
AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.
classification-efficientnet
CoCo128
daily-interview
Datawhale成员整理的面经，内容包括机器学习，CV，NLP，推荐，开发等，欢迎大家star
FairMOT
[IJCV-2021] FairMOT: On the Fairness of Detection and Re-Identification in Multi-Object Tracking
mmclassification
OpenMMLab Image Classification Toolbox and Benchmark
mmcv
OpenMMLab Computer Vision Foundation
mmdeploy
OpenMMLab Model Deployment Framework
mmrotate
OpenMMLab Rotated Object Detection Toolbox and Benchmark
mmtracking
OpenMMLab Video Perception Toolbox. It supports Video Object Detection (VID), Multiple Object Tracking (MOT), Single Object Tracking (SOT), Video Instance Segmentation (VIS) with a unified framework.
uniyushu's Repositories
uniyushu/aimet
AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.
uniyushu/classification-efficientnet
uniyushu/CoCo128
uniyushu/daily-interview
Datawhale成员整理的面经，内容包括机器学习，CV，NLP，推荐，开发等，欢迎大家star
uniyushu/FairMOT
[IJCV-2021] FairMOT: On the Fairness of Detection and Re-Identification in Multi-Object Tracking
uniyushu/mmclassification
OpenMMLab Image Classification Toolbox and Benchmark
uniyushu/mmcv
OpenMMLab Computer Vision Foundation
uniyushu/mmdeploy
OpenMMLab Model Deployment Framework
uniyushu/mmrotate
OpenMMLab Rotated Object Detection Toolbox and Benchmark
uniyushu/mmtracking
OpenMMLab Video Perception Toolbox. It supports Video Object Detection (VID), Multiple Object Tracking (MOT), Single Object Tracking (SOT), Video Instance Segmentation (VIS) with a unified framework.
uniyushu/object-detection-yolov5
This repository is an AI model and their training scripts that have been made compatible with CoCoPIE XGen. #XGen-Public-Model #object-detection-yolov5
uniyushu/Real-ESRGAN
Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.
uniyushu/TensorRT
TensorRT is a C++ library for high performance inference on NVIDIA GPUs and deep learning accelerators.