TommyAnqi

YOLOv3-Pytorch

PyTorch implementation of YOLOv3, including training and inference based on darknet and mobilnetv2

Action-recognition

The code for Smart home, action recognition

DeepGTAV

A plugin for GTAV that transforms it into a vision-based self-driving car research environment.

algorithm-base

专门为刚开始刷题的同学准备的算法基地，没有最细只有更细，立志用动画将晦涩难懂的算法说的通俗易懂！

BundleSDF

[CVPR 2023] BundleSDF: Neural 6-DoF Tracking and 3D Reconstruction of Unknown Objects

CenterNet

Object detection, 3D detection, and pose estimation using center point detection:

CenterPoint

CenterTrack

Simultaneous object detection and tracking using center points.

detectron2

Detectron2 is FAIR's next-generation platform for object detection and segmentation.

DetZero

DetZero

edgeai-mmdetection

Train Lite (Embedded Friendly) Object Detection models using https://github.com/open-mmlab/mmdetection

GTAVisionExport

Code to export full segmentations from GTA

FastSAM

Fast Segment Anything

HowToMakeDocs

A tutorial on how to make beauty documents with Sphinx.

keras-yolo3

A Keras implementation of YOLOv3 (Tensorflow backend)

M3D-RPN

MachineLearning

一些关于机器学习的学习资料与研究介绍

mmdetection

Open MMLab Detection Toolbox and Benchmark

PowerBEV

POWERBEV, a novel and elegant vision-based end-to-end framework that only consists of 2D convolutional layers to perform perception and forecasting of multiple objects in BEVs.

PyTorch-Encoding

A PyTorch CV Toolkit

pytorch-lightning

The lightweight PyTorch wrapper for ML researchers. Scale your models. Write less boilerplate

Real-time-memory-replay-detection

A method for online replay detection

TensorRT

TensorRT is a C++ library that facilitates high performance inference on NVIDIA GPUs and deep learning accelerators.

The-Documentation-Compendium

📢 Various README templates & tips on writing high-quality documentation that people want to read.

WoodScape

The repository containing tools and information about the WoodScape dataset.

yolov7

Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors