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Name: Ano97
Type: User
Name: Ano97
Type: User
Arduino code
Ouster, Inc. sample code
Using the Raspberry Pi βSmart Video Car Kit our aim is to detect pedestrians and classify them as either being stationary or moving. Object detection will be done via R (Regional)-CNN. The data that will be used is the Penn-Fudan Database for Pedestrian Detection and Segmentation http://pascal.inrialpes.fr/data/human/. This data will be trained to see when pedestrians are stationary and when they are moving, and for testing we will classify the active status of pedestrians in real time. The robot will indicate if the pedestrians are active (moving) or inactive (stationary). R-CNN is a special type of CNN that focuses on the important parts of an image, rather than the image in its entirety.
Predict dense depth maps from sparse and noisy LiDAR frames guided by RGB images. (Ranked 1st place on KITTI)
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Bring data to life with SVG, Canvas and HTML. πππ
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.
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Some thing interesting about visualization, use data art
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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 β€οΈ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.