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Removing people from complex backgrounds in real time
Person removal from complex backgrounds over time. Removing people from complex backgrounds in real-time using TensorFlow.js in the web browser using JavaScript. This code attempts to learn over time the makeup of the background of a video such that I can attempt to remove any humans from the scene. This is all happening in real-time, in the browser, using TensorFlow.js. This is an experiment. It may not be perfect in all situations. Go ahead and try it right now in your own web browser....
Automatically geocode pictures from your camera and a GPS track log.
Following Google code closure the only official webpage is (doc, support, code) :
https://github.com/notfrancois/GPicSync
Download GPS track from the GPS logger "Solmeta Geotagger Pro" under Linux; Auslesen des Geotaggers * Geotag images with image direction, pitch, roll; Geotagging mit Blickrichtung * Altitudes/Höhen from geonames.org * NMEA analysis: DOP, satellite
[Important] The project moved to GitHub. Please use the following GitHub project page from now on: https://github.com/twain/wia-on-twain
A WIA on TWAIN driver implementation designed to expose all necessary scanner functionality while adhering to the WIA 1.0 and WIA 2.0 specification and achieving compatibility with all WIA compliant applications.
Video processing and computer vision library for GNU/Linux offering interfaces to do image- and video-I/O with ImageMagick/Magick++, Xine, firewire digital camera (DC1394), and video for linux (V4L2).
Note that this version of HornetsEye is deprecated. HornetsEye now is released as multiple packages on RubyGems.org. The sourcecode is available on Github.com (see https://wedesoft.github.io/hornetseye-doc/ for more information).
This program is aimed at being a freeware alternative to Nikon's Camera Control Pro software. Currently it does time lapse photos with many options. This program should also work for any camera that has a WIA driver.
NOTE: This software won't run on anything newer than Windows XP.
This project develops the Open Source Decoder/Encoder of QR Code (JIS-X-0510, ISO/IEC18004), the 2 dimensional barcode popular in Japan for data exchange. The goal is add QR Code Capability to device with a built-in camera and Java all over the world.
ReadBarC reads barcodes using a Symbian OS cellphone with a integrated digital camera. Point the camera at a barcode, click capture, and the barcode is displayed on the screen. The code is also saved in the clipboard so it can be used by other programs.
The goal of this project is the development of a visual code system for camera-equipped mobile phones. It will recognize 2-D visual codes and compute the orientation of the phone relative to the codes. The software will be written in C++ for Symbian OS.
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Publish pictures from your digital camera to the web with this easy to use wizard-style Java application. Automatically resize your images and produce a set of HTML pages including index pages with thumbnails, and detailed caption pages for each photo.
Superseded by the GSPCA driver in the mainline kernel. Development now at http://linuxtv.org/ [Formerly: Linux device driver for SPCA50X based USB cameras (Intel PC Camera Pro)]