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Infrapix

Python library and command line tools for processing publiclab.org's Infragram images and movies. Here are two sample movies remixed from Chris Fastie's "Bee Pond Fuschia" Infrablue movie:

  1. NDVI with fixed value range (-1.0 to 1.0) and overlayed R,G,B,NDVI histograms: http://youtu.be/39gmZC9B-jg

  2. NDVI with dynamic range (vmin to vmax in each frame ) and overlayed R,G,B,NDVI histograms: http://youtu.be/3NEXxGdrEFc

Installation

Debian Linux system (though Windows and OS X should also be possible with slightly different initial steps):

  1. Install dependencies: sudo apt-get install git python-numpy python-matplotlib libav-tools ubuntu-restricted-extras

  2. Download lastest package from github:

    cd ~
    mkdir src
    cd src
    git clone https://github.com/Pioneer-Valley-Open-Science/infrapix.git
  1. Run the setup script:
    cd infrapix
    sudo python setup.py install

Converting an infrablue image to NDVI

  • Go to a directory with an infrablue movie and run, e.g.:

infrapix_single -i river.jpg --show_histogram -o ndvi_river.jpg

For a sample infrablue image as input, grab "river.jpg" here, or below (get it via 'right-click save-as'):

river.jpg

Running the above command should result in an image similar to the following:

river_NDVI.jpg

Converting an infrablue movie to NDVI

  1. Go to a directory with an infrablue movie and run, for example to get dynamic range: infrapix_render -i BeePondFuschia.mp4 --show_histogram -o BeePondFuschia_NDVI_hist_dynamic-range.mp4

    to get fixed range: infrapix_render -i BeePondFuschia.mp4 --vmin -1.0 --vmax 1.0 --show_histogram -o BeePondFuschia_NDVI_hist_fixed-range.mp4

  2. Wait a really long time... enjoy. Hint, run infrapix_render -h for help.

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