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  • 👋 Hi, I’m @wangchuantong
  • 👀 I’m interested in lidar image qt
  • 🌱 I’m currently learning pointclouds process
  • 💞️ I’m looking to collaborate on ...
  • 📫 How to reach me ...

wangchuantong's Projects

acsc icon acsc

Automatic Calibration for Non-repetitive Scanning Solid-State LiDAR and Camera Systems

autoware_camera_lidar_calibrator icon autoware_camera_lidar_calibrator

This is a project for camera-lidar extrinsic calibration, which is seperated from Autoware: https://gitlab.com/autowarefoundation/autoware.ai/utilities/tree/master/autoware_camera_lidar_calibrator

birdviewtransform icon birdviewtransform

4个不同方向的相机,将其鸟瞰变化后,进行拼接,得到车辆及周围区域的鸟瞰视角图 Put FOUR image(or video stream) from 4 different directions together, and form them into a bird view.

camera-calibration icon camera-calibration

This repository include implementation of calibrating intrinsic and extrinsic camera parameter for distance calculation

cvpr_2021_papers icon cvpr_2021_papers

CVPR2021最新论文汇总,主要包括:Transformer, NAS,模型压缩,模型评估,图像分类,检测,分割,跟踪,GAN,超分辨率,图像恢复,去雨,去雾,去模糊,去噪,重建等等

datmo icon datmo

Detection and Tracking of Moving Objects (DATMO) using sensor_msgs/Lidar.

deeplearning-500-questions icon deeplearning-500-questions

深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系[email protected] 版权所有,违权必究 Tan 2018.06

imageqt icon imageqt

数字图像处理——基于Qt 5.8.0

livox_camera_calib icon livox_camera_calib

This repository is used for automatic calibration between high resolution LiDAR and camera in targetless scenes.

opencalibration icon opencalibration

A fast, scalable and deterministic camera calibration library for aerial photography based photogrammetry

pcat_open_source icon pcat_open_source

PointCloud Annotation Tools, support to label object bound box, ground, lane and kerb

qt5-image-and-video-processing-software icon qt5-image-and-video-processing-software

使用QT5+Opencv完成简单的图像处理及视频处理软件。图像处理包括:灰度化、均值滤波、边缘检测、伽马变换、旋转镜像、亮度调节、二值化、对比度,饱和度调节、色彩调节、图片保存、水印等。 视频处理包括:二值化、边缘检测、灰度化、平滑、局部马赛克、缩放等。 此外还进行了界面美化、中英翻译等。

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