Training library for local feature detection and matching

LightGlue: Local Feature Matching at Light Speed (ICCV 2023)

📈 目前最大的工业缺陷检测数据库及论文集 Constantly summarizing open source dataset and critical papers in the field of surface defect research which are of great importance.

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

A project demonstrating Lidar related AI solutions, including three GPU accelerated Lidar/camera DL networks (PointPillars, CenterPoint, BEVFusion) and the related libs (cuPCL, 3D SparseConvolution…

Lift, Splat, Shoot: Encoding Images from Arbitrary Camera Rigs by Implicitly Unprojecting to 3D (ECCV 2020)

OpenMMLab YOLO series toolbox and benchmark. Implemented RTMDet, RTMDet-Rotated,YOLOv5, YOLOv6, YOLOv7, YOLOv8,YOLOX, PPYOLOE, etc.

🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gan…

[ICRA'23] BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation

Unofficial pytorch implementation of 'Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization' [Huang+, ICCV2017]

《Effective Modern C++》- 完成翻译

Yolo v5, v7, v8 and several Multi-Object Tracker(SORT, DeepSORT, ByteTrack, BoT-SORT, etc.) in MOT17 and VisDrone2019 Dataset. It uses a unified style and integrated tracker for easy embedding in y…

[ECCV 2022] Joint Feature Learning and Relation Modeling for Tracking: A One-Stream Framework

A model compression and acceleration toolbox based on pytorch.

Code and models for ICCV2021 paper "Robust Object Detection via Instance-Level Temporal Cycle Confusion".

This repository seeks to perform few-shot image transfer by fine-tuning Stable Diffusion on a small dataset contains several images of target domain, and then sampling attached with ControlNet.

Transformer Tracking (CVPR2021)

The official fine-tuning code for DropTrack

基于tensorrt部署simaRPN++（单目标跟踪）

Codes for my paper "SSDA-YOLO: Semi-supervised Domain Adaptive YOLO for Cross-Domain Object Detection"

[IJCAI 2022] FQ-ViT: Post-Training Quantization for Fully Quantized Vision Transformer

Sample code for the Effective Modern C++ book by Scott Meyers.

Minimal PyTorch implementation of YOLOv3

an edge-real-time anchor-free object detector with decent performance

🔥《TensorRT-Alpha》🔥supports YOLOv8, YOLOv7, YOLOv6, YOLOv5, YOLOv4, YOLOv3, YOLOX, YOLOR and so on. It implements 🚀 CUDA C++🚀 accelerated deployment models.🍎CUDA IS ALL YOU NEED🍎.Best Wish!

这是一个yolox-pytorch的源码，可以用于训练自己的模型。