YueLeeGitHub's repositories
yolov5_obb
yolov5 + csl_label.(Oriented Object Detection)（Rotation Detection）（Rotated BBox）基于yolov5的旋转目标检测
Awesome-LiDAR-Camera-Calibration
A Collection of LiDAR-Camera-Calibration Papers, Toolboxes and Notes
lidar_camera_calibrator
ROS package to calibrate the extrinsic parameters between LiDAR and Camera.
yolov4-pytorch
这是一个YoloV4-pytorch的源码，可以用于训练自己的模型。
ScaledYOLOv4
Scaled-YOLOv4: Scaling Cross Stage Partial Network
blog
灵魂画手的博客
AlgoWiki
总结算法刷题套路，在线阅读：
algorithm
算法题
ASFF
yolov3 with mobilenet v2 and ASFF
vcpkg
C++ Library Manager for Windows, Linux, and MacOS
spdlog
Fast C++ logging library.
PixelLib
Visit PixelLib's official documentation https://pixellib.readthedocs.io/en/latest/
g-darknet
darknet with GIoU
MonoRec
Official implementation of the paper: MonoRec: Semi-Supervised Dense Reconstruction in Dynamic Environments from a Single Moving Camera (CVPR 2021)
image_augmentor
Data augmentation tool for images
labelImg
🖍️ LabelImg is a graphical image annotation tool and label object bounding boxes in images
Object-Detection-Metrics
Most popular metrics used to evaluate object detection algorithms.
LeetCode
Warmly welcome to my website：https://www.zengqiang.org ｜目录：
data-augmentation-review
List of useful data augmentation resources. You will find here some not common techniques, libraries, links to github repos, papers and others.
yolov5_prune
yolov5剪枝，支持v2,v3,v4版本的yolov5
SemiGlobalMatching
SGM，立体匹配StereoMatching最经典应用最广泛算法，4000+引用，兼顾效率和效果。完整实现，代码规范，注释清晰，博客教学，欢迎star！
Kalman-and-Bayesian-Filters-in-Python
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
awesome-data-augmentation
This is a list of awesome methods about data augmentation.
Awesome-Pruning
A curated list of neural network pruning resources.
review_object_detection_metrics
Review on Object Detection Metrics: 14 object detection metrics including COCO's and PASCAL's metrics. Supporting different bounding box formats.
Mobilenet-SSD-Essay
这是Mobilenet-SSD的论文版，可用于训练与预测。