Open Source Linux Raspberry Pi Software

GPUImage 2 is the second generation of the GPUImage framework, an open source project for performing GPU-accelerated image and video processing on Mac, iOS, and now Linux. The original GPUImage framework was written in Objective-C and targeted Mac and iOS, but this latest version is written entirely in Swift and can also target Linux and future platforms that support Swift code. The objective of the framework is to make it as easy as possible to set up and perform realtime video processing or machine vision against image or video sources. By relying on the GPU to run these operations, performance improvements of 100X or more over CPU-bound code can be realized. This is particularly noticeable in mobile or embedded devices. On an iPhone 4S, this framework can easily process 1080p video at over 60 FPS. On a Raspberry Pi 3, it can perform Sobel edge detection on live 720p video at over 20 FPS.

Gphoton is a simple 3d modeler and ray tracer. If you're looking for the best 3d modeler or best ray tracer, this isn't it. If you want to easily make some simple 3D primitives and see multiple reflections or dink with ray trace code, you might find this fun, read on. In 2nd grade we had a sub who taught us to draw 2pt perspective - life was never the same. My dad's drafting book taught that and 3pt persp. In art I was awed by Durer and the mirror in Van Eyke's Wedding. In the 70s-80s I was trying to do 3D on early computers - big BW pixels! By late 80s I saw ray tracing and had to write my own. I wrote the 1st ver while taking vector calculus and CAD programming classes c. '92. I was intrigued not only by the beauty of the math but also ray tracing curved metals. This is actually the 2nd ver, ported from MFC to gnome (with enhancements like optional GL) c. '00 with some help from David. Apr'17: Updated to compile on recent Ubuntu/Debian - still runs, even on a pi!

JSTx is used for displaying overlay graphics and text on top of a Philips television, changing channels, receiving remote control keys and changing television display modes. It is a command line utility to execute jointSPACE commands on a device that supports the jointSPACE protocol for Philips televisions (see http://jointspace.sourceforge.net for details on jointSPACE, which is based on DirectFB). It is used in various home automation/internet-of-things projects. There are three versions: 0.23 for 2009/2010 Philips televisions (xxx5 en xxx4 series), 0.24 for 2011-2012 televisions (xxx6-xxx7) and 0.24_2013 for 2013-2014 televisions (xxx8-xxx9 (only non-Android)). New Android sets (2014+) do not come with Jointspace and are not supported. It works on Linux operating systems. A Raspberry-Pi version is also available.

Raspberry pi adafruit capacitive touch tft ada fruit case for pi ldr +capacitor for background light level dfc77 receiver for time python code based on wiringpi2, pygame

PLEASE NOTE: this project has been moved to https://piwebcam.github.io Instructionable: https://www.instructables.com/id/Fully-featured-Outdoor-Security-Camera-Bas

Python scripts for the Raspberry PI to control the graphic chip ST7735. The Display is the SainSmart 1.8 SPI LCD. tkDisplay2.zip contains a driver which simulates the SPI interface with alternative GPIO pins!