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Evan Goldstein edited this page Mar 21, 2023 · 8 revisions

The Instagrain Wiki

Intro:

Welcome to the Instagrain wiki! The goal of the Instagrain project is to develop an open source & open hardware camera to measure sediment grain size in the field from pictures. The camera uses a deep learning model to estimate grain size from pictures (using tensorflow lite), but other options for grain size measurement are also possible (i.e., pyDGS — software written by Dan Buscombe that estimates grain size distribution using the continuous wavelet transform).

Considerations:

There are multiple versions of the camera, with different hardware (electronics, case) and software:

  • V1: The case is fully 3d printed.

  • V2: The case is a custom CNC'ed enclosure and a few 3D printed parts.

  • V3: A smaller custom CNC'ed enclosure, again with a few 3D printed parts. (we are also experimenting with the use of different cameras using this case, which is not yet discussed on this wiki)

Contents of the wiki:

  1. Instructions for building the v2 camera and v3 camera. (Instructions for building the v1 camera can be found here)
  2. Instructions for [setting up the software on the camera.
  3. Tips and notes about focusing the camera
  4. Instructions for using the camera
  5. Details about the ML model so operators understand the camera output (and its limits)

Please remember:

  • Feel free to reach out, we would be happy to discuss the camera ( and collaborate)!

  • We love contributions. Check out the issues and the discussion

  • We intend to foster an inclusive and respectful environment surrounding the contribution and discussion of our project. Make sure you understand our Code of Conduct.

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