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-cascade-rcnn- icon -cascade-rcnn-

《基于Cascade-RCNN的工业浸胶胶布缺陷检测分析系统》是一款集模型识别、图像分析和解决方案提出于一体的综合系统。系统充分利用深度学习技术,针对工业浸胶胶布疵点识别难题,实现了高效准确的缺陷检测。采用先进的Cascade-RCNN算法和数据增强方法,系统提高了检测准确度和效率。用户可通过实时展示的缺陷分布图和数据分析报告,快速了解缺陷情况,并得到针对性的解决方案。这一系统不仅提高了工业质检的准确性和效率,也为企业质检部门提供了更智能、便捷的质检解决方案。未来,该系统有望为工业界提供更广泛的应用和服务支持,推动工业质检的数字化转型和健康发展。

2d-slam icon 2d-slam

To map the structure of an indoor environment using the information from a walking humanoid, sensors including IMU, Kinect and 2D laser range scanner (LIDAR).

3d-perception-pr2 icon 3d-perception-pr2

Implemented a 3D perception pipeline using ROS, PCL to identify target objects from a given “Pick-List” in a particular order and successfully complete a tabletop pick and place operation using PR2 robot.

6dpose icon 6dpose

implement some algorithms of 6d pose estimation

a10 icon a10

swiftboard a10 gpio kernel module and userspace golang lib

aadc2018 icon aadc2018

Code basis used by Team AlpaKa for the Audi Autonomous Driving Cup 2018

abb_project icon abb_project

include 2 project,project1 is related with sensor_robot,project2 is related with sf

ace icon ace

Twitter bootstrap 3 admin template

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