Search Results for "bodhi linux for raspberry pi 3"

4 programs for "bodhi linux for raspberry pi 3" with 1 filter applied:

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    Homebridge Docker Image

    Homebridge Docker Image

    HomeKit support for the impatient using Docker on x86_64

    This Ubuntu Linux based Docker image allows you to run Nfarina's Homebridge on your home network which emulates the iOS HomeKit API. This is a multi-arch image and will run on x86_64, Raspberry Pi 2, 3, 4, Zero 2 W, or other Docker-enabled ARMv7/8 devices. Docker will automatically pull the correct image for your system. Homebridge requires full access to your local network to function correctly. This image will not work when using Docker for Mac or Docker for Windows. The parameters are split...
    Downloads: 1 This Week
    Last Update:
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  • 2

    Yet Another BACnet Explorer

    Graphical explorer for BACnet and Free BACnet library in C#

    Graphical explorer program written in C#, for browsing BACnet devices (run on Windows & Linux). Supports BACnet MS/TP, Ethernet, IPv4, IPv6, SecureConnect Basic functions for read, write, read multiple, write multiple, iam, whois, subscribeCOV, notify, WriteFile, ReadFile etc. Includes three demo server applications : a generic server, a wall mounted room controller simulator, a weather server (gets data from an Internet webservice). Includes a lot of samples C# source code. Raspberry Pi...
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    Downloads: 1,549 This Week
    Last Update:
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  • 3
    Unreal Speccy portable

    Unreal Speccy portable

    Portable ZX-Spectrum emulator based on UnrealSpeccy 0.37.3 by SMT

    Portable ZX-Spectrum emulator supports Z80 128K (Pentagon) AY/YM, Beeper, Beta Disk, Tape, Kempston Joystick/Mouse, Snapshots, Replays. Supported formats: sna, z80, szx, rzx, tap, tzx, csw, trd, scl, fdi, zip. Created to be ported to many platforms such as Windows/Linux/Mac/Symbian/Dingoo A320/Android/iOS/PSP/Raspberry Pi, ...
    Downloads: 0 This Week
    Last Update:
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  • 4
    GPUImage 2

    GPUImage 2

    Framework for GPU-accelerated video and image 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.
    Downloads: 0 This Week
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