Computer-Vision-Emergency-Response-Toolkit

Release version can be found at: http://cver.hrail.crasar.org

CVERT Competition

• Create a Fork of the "CVERT-Competition-Master" branch. This is a copy of the current release version.
• You can now freely work on your Forked version of the project.

Submissions

• There are 3 submission branches, one for each category in the competition.
• To submit your project create a "New Pull Request" to the approriate "CVERT-Competition-Category-#" your project falls under.
• You may include a "Competition-README.txt" file with anything important you might want to tell us about your project. This should at least include things such as, software and/or hardware requirements to run the project, any known issues, or anything that you wanted to highlight about your project.

Setup

Visual Studio

• Microsoft .NET Framework 4.6.1
• Microsoft Visual Studio 2017 Installer Projects Extension
  • This can be installed by clicking Tools -> Extensions and Updates... -> Online then entering the name of the extension in the search box

Developer Note

• Note: Before building the project in Visual Studio, please verify that the ‘yolov3.weights’ file is present in the ‘Computer-Vision-Emergency-Response-Toolkit-CVERT-Competition-Master\Computer Vision Toolkit\Computer Vision Toolkit\lib\Algorithms’ folder . If it is not present, it can be downloaded from https://pjreddie.com/media/files/yolov3.weights.

• Currently I am not able to commit large LFS file and issue regarding this already open in github community.

• git-lfs/git-lfs#1449

• https://github.com/Fergex/Platformer445/issues/2

Python Setup

• Python 3.6.4

  • https://www.python.org

• OpenCV

  • pip install opencv-python
  • pip install opencv-contrib-python
  • https://opencv.org
  • Tutorial
    • http://opencv-python-tutroals.readthedocs.io/en/latest/py_tutorials/py_tutorials.html

• Numpy

  • pip install numpy
  • http://www.numpy.org

• SciPy

  • pip install scipy
  • https://www.scipy.org

• Scikit-Learn

  • pip install scikit-learn
  • http://scikit-learn.org/stable/

• Spectral (SPy)

  • pip install spectral
    • http://www.spectralpython.net

• Argparse

  • pip install argparse

• Matplotlib

  • pip install matplotlib
  • https://matplotlib.org

• Tensorflow

  • pip install -v tensorflow

• keras

  • pip install -v keras

The University of Texas at Arlington Robotic Vision Lab (RVL) CVERT Improvements

The RVL has extended the functionality of CVERT to provide human detection under challenging environmental conditions. Please click on the following image for a detailed YouTube video description: