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        "author": "Adekunle Babatunde, Oluwaseun Adeyo",
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        "description": "# ICAO Validation Engine\nProject leverages on OpenCV technology to achieve portrait validation in accordance to ICAO specifications\n\n## Stack\ni. Python v3\nii. OpenCV\n\n## External Libraries\n- NumPy\n\n\n## Papers and Reference\n- [Measuring Perceptual Contrast in Digital Images](https://www.ansatt.hig.no/mariusp/publications/Simone2011_JVCIR.pdf)\n- [Analysis of Image Quality Assessment Algorithm to Detect the presence of Unnatural contrast enhancement](https://pdfs.semanticscholar.org/af13/71068c1950ab841b5e51ccf934c4e454343e.pdf)\n\n\n\n##Using the Applications\n\nAttached to the project is a icaovalidator-0.1.16-test-poc.tar.gz which is the python distribution of the project\n\nUsing a python environment is the best way to run the package.\nIf Anaconda is installed you can create a python virtual environment from the Anaconda prompt:\n`conda create -n testIcao python=3.6`\n\nSwitch to the newly created python environment\n`conda activate testIcao`\n\nElse if anaconda is not installed kindly follow the link below for a guide to install Anaconda\nhttps://docs.anaconda.com/anaconda/install/windows/\n\nOnce this is done, refer back to creating a virtual environment and continue\n\nOnce the environment is created install the following packages into the new python environment\n`pip install CMake`\n`pip install cython`\n`pip install imutils`\n\nTo install the package\n`pip install path/to/icaovalidator-0.1.16-test-poc.tar.gz`\n\nTo test the installed module\n\nCreate a `threshold_config.ini` file - I have attached a sample.\nThe `threshold_config.ini` file allows you to change the thresholds as well as select the classifications you intend to work with.\n\nYou can run the code directly from the Anaconda prompt by initiating a python shell with the command `python` in the activated `testIcao` environment. If using jupyter notebook, you can launch jupyter notebook directly from Anaconda Prompt with the command `jupyter notebook` then run the following python codes.\n\n```python\nfrom icaoengine.resources import load_classifier_config, load_threshold_config\nclassifierConfig, classifications = load_classifier_config('path/to/threshold_config.ini')\nfrom icaoengine.core import CoreValidation\nvalidation = CoreValidation(classifierConfig=classifierConfig, classifications=classifications)\nvalidation.icao_validate(\"../../path/to/image.jpeg\")\n```",
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