Pinned Repositories
Damai-ticket
为了在大麦网抢到周杰伦演唱会的门票,自己闷头学了一会网页的selenium想解放一下生产力,本项目能够实现自动化操作,但在实战中由于自己的电脑配置以及网络原因出现了一些问题。相信解决了这两个问题应该能实现抢票。
faster_rcnn
Learn-Pytorch
Learn-ROS
Indigo中的ROS学习
logistic-regression
通过逻辑回归实现对数据的分类,数据源自Stanford机器学习课程,http://openclassroom.stanford.edu/MainFolder/DocumentPage.php?course=DeepLearning&doc=exercises/ex4/ex4.html
machine-learning
吴恩达机器学习,Octave转化自写相关Python代码
racecar_detect
ROS下的功能包:主要用于单目车道线检测,是在获取透视变换图像后,由detect_lane.py实现对图像进行处理,以得到车道线方程和图像信息。
racecar_projection
ROS下的功能包:主要用于单目车道线检测中的图像处理部分,将摄像头获取的ROS图像信息转化为opencv可用的图像信息后即可开始图像处理部分,大体包括图像的透视变换和图像增强两部分。
Ros-Formation-and-Obstacle-Avoidance
There is five robot in a formation who is doing its task. They can communicate with each other by a communication topology and correct their position. And they realized obstacle avoidance by using lidar in the method artificial potential field. These programs can work in ROS.
swarm_formation_sim
Consensus and formation simulations of swarm robots.
xqy0211's Repositories
xqy0211/Damai-ticket
为了在大麦网抢到周杰伦演唱会的门票,自己闷头学了一会网页的selenium想解放一下生产力,本项目能够实现自动化操作,但在实战中由于自己的电脑配置以及网络原因出现了一些问题。相信解决了这两个问题应该能实现抢票。
xqy0211/racecar_detect
ROS下的功能包:主要用于单目车道线检测,是在获取透视变换图像后,由detect_lane.py实现对图像进行处理,以得到车道线方程和图像信息。
xqy0211/racecar_projection
ROS下的功能包:主要用于单目车道线检测中的图像处理部分,将摄像头获取的ROS图像信息转化为opencv可用的图像信息后即可开始图像处理部分,大体包括图像的透视变换和图像增强两部分。
xqy0211/faster_rcnn
xqy0211/Learn-ROS
Indigo中的ROS学习
xqy0211/logistic-regression
通过逻辑回归实现对数据的分类,数据源自Stanford机器学习课程,http://openclassroom.stanford.edu/MainFolder/DocumentPage.php?course=DeepLearning&doc=exercises/ex4/ex4.html
xqy0211/Learn-Pytorch
xqy0211/machine-learning
吴恩达机器学习,Octave转化自写相关Python代码
xqy0211/Ros-Formation-and-Obstacle-Avoidance
There is five robot in a formation who is doing its task. They can communicate with each other by a communication topology and correct their position. And they realized obstacle avoidance by using lidar in the method artificial potential field. These programs can work in ROS.
xqy0211/swarm_formation_sim
Consensus and formation simulations of swarm robots.