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Smartphone 3D Imaging for Supporting Crop Analytics


This repository contains implementation of Smartphone 3D Imaging Smartphone 3D Imaging for Supporting Crop Analytics.


Repository Structure

  1. 2Dto3D folder contains COLMAP implementation. It is responsible for converting images collected from the smartphone to 3D models.
  2. We have used Django webframe to build the we application. Lidarviewer has the files that are related to configurations and settings of the web application.
  3. Media folder is used to save generated PLY files and input files from the user.
  4. Screencaptures folder saves the screenshots captured by the user. The option to capture screenshots is provided on the viewer window.
  5. Viewer folder has the python scripts used to render and display the generated PLY files to the user in the browser window.

Dependencies

  1. Open3D
  2. COLMAP
  3. Django
  4. OpenCV

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