Displaying 1 to 6 from 6 results

deepgaze - Computer Vision library for human-computer interaction

  •    Python

Update 04/06/2017 Article "Head pose estimation in the wild using Convolutional Neural Networks and adaptive gradient methods" have been accepted for publication in Pattern Recogntion (Elsevier). The Deepgaze CNN head pose estimator module is based on this work. Update 22/03/2017 Fixed a bug in mask_analysis.py and almost completed a more robust version of the CNN head pose estimator.

pi-timolo - Raspberry PI-TIMOLO ( PI-TImelapse, MOtion, LOwLight ) uses RPI picamera and python for Remote Headless Security Monitoring & Auto Sync files with rclone remote storage services

  •    Python

Requires a Raspberry Pi computer and a RPI camera module installed. Make sure hardware is tested and works. Most RPI models will work OK. A quad core RPI will greatly improve performance due to threading. A recent version of Raspbian operating system is Recommended. Step 1 With mouse left button highlight curl command in code box below. Right click mouse in highlighted area and Copy. Step 2 On RPI putty SSH or terminal session right click, select paste then Enter to download and run script.

Aegisub-Motion - Lua plugin for Aegisub auto4 that parses motion tracking data and applies it to selected subtitles

  •    MoonScript

The dream is real. The recommended method is to use DependencyControl. If you cannot use DependencyControl, however, release zips are provided. Note that the release zip versions will still use DependencyControl for automatic updating if it is available.

cam-track - Windows, Unix, Raspberry Pi Computer python program to Track Camera X, Y Movements and Convert to Camera Pointing Position

  •    Python

Easy Install of cam-track onto Raspberry Pi or Debian Computer with latest Raspbian. For Windows and Unix computer platforms(non RPI or Debian) ensure you have the most up-to-date python version see https://www.python.org/downloads/ for latest versions. The latest versions include numpy and recent opencv that is required to run this code. You will also need a USB web cam installed and working. To install this program access the GitHub project page at https://raw.github.com/pageauc/cam-track and select the green Clone or download zip option. the files will be cloned or zipped to a cam-track folder. You can run the code from console, gui desktop or from python IDLE application.




sonic-track - Uses a raspberry pi camera or web cam and python opencv to track motion in camera view

  •    Python

This demo app sends camera movement tracking data to sonic-pi music program. sonic-track sends data to sonic-pi via psonic.py and pythonosc. You will need a pi camera and a powered speaker connected to the Raspberry Pi audio/video plug via appropriate cables or you can attach RPI to an HDMI TV via HDMI cable and sound will redirect to TV speakers. I thought it would be interesting to point the camera at a fish tank or other source of video movement to see what sounds are generated. You can also stand in front of the camera and generate sounds via body movements. This program demo is a very basic setup but more elaborate sonic-pi sound generation algorithms are possible.

speed-camera - A Unix, Windows, Raspberry Pi Object Speed Camera using python, opencv, video streaming, motion tracking

  •    Python

IMPORTANT - A raspbian sudo apt-get update and sudo apt-get upgrade will NOT be performed as part of speed-install.sh so it is recommended you run these prior to install to ensure your system is up-to-date. Step 1 With mouse left button highlight curl command in code box below. Right click mouse in highlighted area and Copy. Step 2 On RPI putty SSH or terminal session right click, select paste then Enter to download and run script.