PhotoSense is a tool to automatically censor faces in photos of protests, using openCV's DNN for face detection and a custom U-Net model for pixel segmentation. A working demo can be seen at www.photosense.app. This repository is for the Desktop application built using Electron. Initial boilerplate was forked from https://github.com/reZach/secure-electron-template.
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Desktop application for PhotoSense in case users do not want to use cloud computer vision model. This will hold python code for cv model as well as the React paint interface used on the web application.
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WHellhaus/PhotoSense_Electron
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Desktop application for PhotoSense in case users do not want to use cloud computer vision model. This will hold python code for cv model as well as the React paint interface used on the web application.
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