Showing results for SENSE Background
GitHub Repo
https://github.com/derzu/BodySkeletonTracker
derzu/BodySkeletonTracker
Human body skeleton detection an tracking from video camera in real time. It was developed for an Orbbec Astra camera DRGB (Depth-RGB), uses the OpenNI2 driver, it also works with Asus Xtion and Prime sense. It works with normal webcam too, in the case of background is smooth and white.
GitHub Repo
https://github.com/PINTO0309/MobileNet-SSD-RealSense
PINTO0309/MobileNet-SSD-RealSense
[High Performance / MAX 30 FPS] RaspberryPi3(RaspberryPi/Raspbian Stretch) or Ubuntu + Multi Neural Compute Stick(NCS/NCS2) + RealSense D435(or USB Camera or PiCamera) + MobileNet-SSD(MobileNetSSD) + Background Multi-transparent(Simple multi-class segmentation) + FaceDetection + MultiGraph + MultiProcessing + MultiClustering
GitHub Repo
https://github.com/AsianZeus/3D-Photography-with-Image-Inpainting-and-Depth-Estimation
AsianZeus/3D-Photography-with-Image-Inpainting-and-Depth-Estimation
Sensing Depth from 2D Images and Inpainting Background behind the Foreground objects to create 3D Photos with Parallax Animation.
GitHub Repo
https://github.com/cookiejest/videobackground
cookiejest/videobackground
Qlik Sense Video backgrounds
GitHub Repo
https://github.com/mahdidavoodi7/expo-parallax-background
mahdidavoodi7/expo-parallax-background
Expo Parallax Gyroscope Effect is an Expo-based React Native project that creates a dynamic parallax effect using images and the device’s gyroscope sensor. It produces a realistic sense of depth by having layers move at varying speeds with smooth, sensor-driven animations—all built in TypeScript.
GitHub Repo
https://github.com/ChristofSchwarz/qs-GeoObject-BackgroundImg
ChristofSchwarz/qs-GeoObject-BackgroundImg
Using Qlik Sense's native GeoObject together with any office/shop/plant plan image
GitHub Repo
https://github.com/stefanwalther/sense-themable-kpi-tile
stefanwalther/sense-themable-kpi-tile
Qlik Sense Extension: KPI Tile with the ability to use themes and customize background-color, etc.
GitHub Repo
https://github.com/scp19801980/Remote-sensing-scene-classification
scp19801980/Remote-sensing-scene-classification
For the remote sensing scene classification task in complex background, we proposed a lightweight convolutional neural network with bilinear feature extraction structure. The idea of branch feature fusion was proposed to fuse the extracted features of different branches.
GitHub Repo
https://github.com/cdcsai/Background_Substraction_CS
cdcsai/Background_Substraction_CS
Implementation of the paper Compressive Sensing for Background Substraction from Cevher & Al (2008)
GitHub Repo
https://github.com/pablofsoto/Background_Image