Original blog post - http://blog.alexellis.io/live-stream-with-docker/
How do I rebuild the image from scratch?
This will take several hours on a Raspberry Pi Zero - but less time on a Pi 2 or Pi 3. You can edit the Dockerfile for a Pi 2/3 and change RUN make to RUN make -j 4 to take advantage of the quad-core processor.
$ git clone https://github.com/alexellis/raspberrypi-youtube-streaming/
| #!/bin/bash | |
| echo "\n\n--- Killing Stupid Adobe Auto Load Crap ---\n\n" | |
| launchctl unload -w /Library/LaunchAgents/com.adobe.AdobeCreativeCloud.plist | |
| launchctl unload -w /Library/LaunchAgents/com.adobe.AAM.Updater-1.0.plist | |
| echo "\n\n--- Done! ---\n\n" |
| var cameraZ = camera.position.z; | |
| var planeZ = 5; | |
| var distance = cameraZ - planeZ; | |
| var aspect = viewWidth / viewHeight; | |
| var vFov = camera.fov * Math.PI / 180; | |
| var planeHeightAtDistance = 2 * Math.tan(vFov / 2) * distance; | |
| var planeWidthAtDistance = planeHeightAtDistance * aspect; | |
| // or |
| List of regions your project is served from when you deploy using surge. | |
| yyz.surge.sh : 159.203.50.177 : CA : Toronto | |
| jfk.surge.sh : 159.203.159.100 : US : New York | |
| sfo.surge.sh : 138.197.235.123 : US : San Francisco | |
| lhr.surge.sh : 46.101.67.123 : GB : London | |
| ams.surge.sh : 188.166.132.94 : NL : Amsterdam | |
| fra.surge.sh : 138.68.112.220 : DE : Frankfurt | |
| sgp.surge.sh : 139.59.195.30 : SG : Singapore |
| import requests | |
| from collections import defaultdict | |
| csv_prefix = "https://research.google.com/youtube8m/csv" | |
| r = requests.get("{0}/verticals.json".format(csv_prefix)) | |
| verticals = r.json() | |
| block_urls = defaultdict(list) | |
| count = 0 |
| # Install build tools | |
| sudo apt-get update | |
| sudo apt-get install -y build-essential git python-pip libfreetype6-dev libxft-dev libncurses-dev libopenblas-dev gfortran python3-matplotlib libblas-dev liblapack-dev libatlas-base-dev python3-dev python3-pydot linux-headers-generic linux-image-extra-virtual unzip python3-numpy swig python3-pandas python-sklearn unzip python3-pip python3-venv | |
| # Install CUDA 7 | |
| # wget http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1410/x86_64/cuda-repo-ubuntu1410_7.0-28_amd64.deb | |
| wget http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1504/x86_64/cuda-repo-ubuntu1504_7.5-18_amd64.deb | |
| sudo dpkg -i cuda-repo-ubuntu1504_7.5-18_amd64.deb && rm cuda-repo-ubuntu1504_7.5-18_amd64.deb | |
| sudo apt-get update | |
| sudo apt-get install -y cuda |
| /* | |
| * © 2016 - Julián Acosta | |
| * License: CC BY-SA 4.0 (http://creativecommons.org/licenses/by-sa/4.0/) | |
| * | |
| * Print your own logo in developer tools! | |
| * | |
| * Step 1: Convert your logo to ASCII text here: http://picascii.com (I used color output) | |
| * Note: Is possible that you'll have to resize your photo in order to retain aspect ratio | |
| * Step 2: Remove the <pre></pre> tag that is surrounding the generated code, replace with "[" and "]" | |
| * Step 3: Run the following regexes (*DON'T ALTER THE ORDER*) in order to convert to JSON (Works in PHPStorm and Sublime Text 2): |
| #include <math.h> | |
| /* | |
| Example application for doing FFT on a Particle Photon and sending the data to Processing on a computer | |
| Designed for Phyiscal Computing Studio, Spring 2016, IDeATe @ Carnegie Mellon University: http://courses.ideate.cmu.edu/physcomp/s16/48-390/ | |
| Inspired by Adafruit's FFT: Fun with Fourier Transforms tutorial: https://learn.adafruit.com/fft-fun-with-fourier-transforms/software | |
| FFT function from Paul Bourke: http://paulbourke.net/miscellaneous/dft/ | |
| TCP connection code provided by Alex Alspach |
