陈思佳's repositories
SOT-TLD
OpenTLD is an open source library for real-time 2D tracking of a single object in video. This repository is no longer under development. For latest version see: http://www.tldvision.com/tld2.html
fucking-algorithm
刷算法全靠套路，认准 labuladong 就够了！English version supported! Crack LeetCode, not only how, but also why.
Object-Tracking-TLD
C++ implementation of the Tracking-Learning-Detection (TLD) framework for object tracking.
SoccerNet-tracking
Repository containing all necessary codes to get started on the SoccerNet Tracking challenge. This repository also contains benchmark methods to get started.
d2l-zh
《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被55个国家的300所大学用于教学。
yolov5-cpp-python-v6.1-opencv-onnxrun
分别使用OpenCV、ONNXRuntime部署yolov5-v6.1目标检测，包含C++和Python两个版本的程序。支持yolov5s，yolov5m，yolov5l，yolov5n，yolov5x，yolov5s6，yolov5m6，yolov5l6，yolov5n6，yolov5x6的十种结构的yolov5-v6.1
TLD_tracker
C++ implementation of TLD image tracker
deep-learning-for-image-processing
deep learning for image processing including classification and object-detection etc.
SiamTrackers
(2020-2021)The PyTorch version of SiamFC，SiamRPN，DaSiamRPN, UpdateNet , SiamDW, SiamRPN++, SiamMask, SiamFC++, SiamCar, SiamBAN, Ocean, LightTrack , TrTr; Visual object tracking based on deep learning
DBNet.pytorch
A pytorch re-implementation of Real-time Scene Text Detection with Differentiable Binarization
pysot
SenseTime Research platform for single object tracking, implementing algorithms like SiamRPN and SiamMask.
webots
Webots Robot Simulator
SmartDog
这是一个基于深度学习的单目标跟踪软件，该软件可以跟踪视频目标或者通过摄像头跟踪目标
pp
PointPillars for KITTI object detection
webots_references
Webots User Guide
OpenTracker
Real-time C++ ECO tracker etc. speed-up by SSE/NEON, support Linux, Mac, Jetson TX1/2, raspberry pi
DeepSORT-C-
MOT using deepsort yolo3 with C++
OpticalFlow
python实现几个opencv中的光流法函数
Detect-Track
Code release for "Detect to Track and Track to Detect", ICCV 2017
ECO
c++ visual studio implement of ECO: Efficient Convolution Operators for Tracking
mit-ml
斯坦福机器学习完整 python 实现
TLD_CPP
C++ implementation of the Tracking-Learning-Detection (TLD) algorithm by Yuxin Chen