HowTo Enable the RaspiCam in Octoprint

First, if you haven’t already, activate the camera in raspi-config. Login via SSH type “sudo raspi-config” select “Interfacing Options” and enable the camera.

Configuring the camera

Now edit “sudo nano /boot/octopi.txt” uncomment the camera=”auto” line and change it to camera=”raspi”. Uncomment camera_raspi_options=”-fps 10″. These settings configure the camera to provide and image in the format 640×480@10fps. If you would like to change that check the available options at: https://github.com/foosel/OctoPrint/wiki/MJPG-Streamer-configuration

Enabling the camera in the octoprint browser interface

In the browser click on the little wrench in the top bar to open the settings dialog. Select “Webcam & Timelapse”. Set the “Stream URL” parameter to “http://octopi.local:8080/?action=stream”. Obviously change the hostname if you have configured it to something different.

Finally restart octoprint for the changes to take effect.

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HowTo build the Marlin 3D Printer Firmware on the Raspberry Pi

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. The script auto detects the build platform architecture. At the moment Linux 32 Bit, 64 Bit and ARM are supported.

Several parameters at the beginning of the script allow to adapt it further to your needs. The script is setup by default to build the Marlin fork “Skynet3D” for the Anet A8 Prusa clone.
Recently Anet A6/A8 support has been merged back into the main Marlin branch. You can find example configurations for Anet printers in the Marlin sources at: github.com/MarlinFirmware/Marlin/tree/1.1.x/Marlin/example_configurations/Anet
If you want to build stock Marlin change the “marlinRepositoryUrl” parameter respectively.

If you build for non Anet platforms you can 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.

Code

here on github: https://github.com/mmone/marlintool

or download directly as a zip: https://github.com/mmone/marlintool/archive/master.zip

Commandline parameters

-s  — setup

Download and configure the toolchain and the necessary libraries for building Marlin.

-m  — marlin

Download Marlin sources.

-f –fetch

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

Show help.

 
 
 
 
 
 
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Open Source Image Classifier

Link

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.

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Open Source Video Driver 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.

raspberry-pi

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.

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