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Name: chovy
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Name: chovy
Type: User
Hands-On Reinforcement Learning with Python, published by Packt
IDA-3D: Instance-Depth-Aware 3D Object Detection from Stereo Vision for Autonomous Driving, in CVPR2020
双目立体视觉是计算机视觉范畴的核心之一,它利用双目相机来获得目标物体的图像,经过物体图像处理 之后得到目标物体所在场景环境的三维信息,最终实现非接触条件下测距,简单便捷。本次毕业设计主要内容为研究 基于双目立体视觉平台上的图像匹配以及目标物体的距离测量技术,图像特征提取部分研究了 SIFT 算法和 SURF 算 法,特征匹配部分研究了 BF 法和 FLANN 法,距离测量研究主要通过视差深度的计算,结合视觉坐标系的转换实现 三维位置的定位与测量。结合维视双目立体视觉测量平台 MV-VS220,通过 Python+OpenCV 设计实现一个具备图像 采集、图像匹配以及距离测量等功能的原型演示系统。系统可实现对关键环节的过程与结果的演示,以及不同算法的 性能比较。系统测试表明,所开发的原型演示系统从界面、功能与性能方面均达到了设计的要求。
Real-time large scale dense visual SLAM system
End-to-end Lane Detection for Self-Driving Cars (ICCV 2019 Workshop)
Unofficial implemention of lanenet model for real time lane detection using deep neural network model https://maybeshewill-cv.github.io/lanenet-lane-detection/
OpenCV 4相关文件
Code release for the ECCV 2016 paper
MobileNet build with Tensorflow
Unsupervised single image depth prediction with CNNs
Unofficial implementation of Unsupervised Monocular Depth Estimation neural network MonoDepth in PyTorch
[ICCV 2019] Monocular depth estimation from a single image
Real-time Multiple People Tracking with Deeply Learned Candidate Selection and Person Re-identification
Approach to extract motion paths (trajectories) of vehicles and pedestrians from videos (Multiple object detection & tracking)
机器人视觉 无人驾驶 视觉SLAM ORB LSD SVO DSO 深度学习目标检测yolov3 行为检测 opencv PCL 双目视觉
MVSNet (ECCV2018) & R-MVSNet (CVPR2019)
object detection in video
TRI-ML Monocular Depth Estimation Repository
Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks from research to industrial applications.
利用YOLOv3结合行人重识别模型,实现行人的检测识别,查找特定行人
PointRCNN: 3D Object Proposal Generation and Detection from Point Cloud, CVPR 2019.
pseudo-LiDAR_e2e
Pyramid Stereo Matching Network (CVPR2018)
Implementation of PydMobileNet on Mxnet
Repository for pydnet, IROS 2018
Transform depth and RGB image pairs into a .ply file and show it
Tensors and Dynamic neural networks in Python with strong GPU acceleration
implementation EDANet by pytorch
An intellligent car based on Raspberry Pi: obstacle avoidance, video transimission, object detection, tennis tracking; 基于树莓派的智能小车:自动避障,实时图像传输,目标检测,网球追踪;
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.