If you are already running the excellent octoprint as a printserver on a Raspberry Pi it is very convenient to also build Marlin on it. The new Raspberry Pi Zero W with onboard wifi is at only 10$ just perfect for both tasks. If you want to use the camera streaming of octoprint I would recommend a Pi3 though.
I made a script that sets up the necessary build environment and provides commands for building and uploading. It uses the official Arduino toolchain for ARM. Everything is standalone, nothing is installed.
It also works on Linux in general. If you don’t build on ARM you will have to change the architecture. Check the parameters at the beginning of the script for that.
The script is setup by default to build the Marlin fork “Skynet3D” for the Anet A8 Prusa clone. If you want to build stock Marlin change the “marlinRepositoryUrl” parameter respectively. You should also set the parameter “hardwareDefintionDirectory” to an empty string, this prevents the script from trying to copy the board definition that is needed for the A8.
If you are running octopi on you Raspberry you need to disconnect it from your printer before uploading otherwise the serial port is blocked.
here on github: https://github.com/mmone/marlintool
or download directly as a zip: https://github.com/mmone/marlintool/archive/master.zip
-s — setup
Download and configure the toolchain and the necessary libraries for building Marlin.
-m — marlin
Download Marlin sources.
Update an existing Marlin clone.
-v — verify
Build without uploading.
-u — upload
Build and upload Marlin. If you are running octopi on you Raspberry you need to disconnect it before uploading otherwise the serial port is blocked.
-b –backupConfig [name]
Backup the Marlin configuration to the named backup.
-r –restoreConfig [name]
Restore the given configuration into the Marlin directory.
-c — clean
Cleanup everything. Remove Marlin sources and Arduino toolchain.
-p — port [port]
Set the serialport for uploading the firmware. Overrides the default set in the script.
-h — help
Hugin is a great Open Source photo stitcher for OSX, Linux and Windows.
Libccv is an open source image classifier and computer vision library.
It runs on Mac OSX, Linux, FreeBSD, Windows, iPhone, iPad, Android, Raspberry Pi. In fact, anything that has a proper C compiler probably can run ccv. The majority (with notable exception of convolutional networks, which requires a BLAS library) of ccv will just work with no compilation flags or dependencies.
Among lots of other things it has a SIFT implementation
The sources are available on github.
Screenly is a very simple Digital Signage solution for the Raspberry Pi.
Broadcom recently announced the release of full documentation for the VideoCore IV graphics core, and a complete source release of the graphics stack under a 3-clause BSD license. This is good news for the Raspberry Pi community. The release targets the BCM21553 cellphone chip, it should be reasonably straightforward to port this to the Pis BCM2835, allowing access to the graphics core without using a binary blob.
As an incentive to do build a open source video driver the Raspberry Pi foundation will pay a bounty of $10,000 to the first person to demonstrate that they can successfully run Quake III at a playable framerate on Raspberry Pi. This competition is open worldwide, and you can find competition rules here which describe what you have to do, and how to enter.
daten.berlin.de provides access to berlin specific open data sets.