{
    "info": {
        "author": "Clark Lee",
        "author_email": "marsbound@pm.me",
        "bugtrack_url": null,
        "classifiers": [
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        "description": "################\nLesion Processor\n################\n\nLesion Processor crops, labels, and/or isolates lesions in a given image\nor a set of images.\n\n.. image:: https://raw.githubusercontent.com/marsbound/lesion-processor-static/master/docs/lp_overview.png\n    :width: 100%\n    :align: center\n    :alt: lp_overview\n\n************\nInstallation\n************\n\n.. code:: sh\n\n    pip install lesionprocessor\n\n*****\nUsage\n*****\n\n.. code-block:: python\n\n    import lesionprocessor as lp\n\n    img_path = 'data/raw/lesion1.jpg'\n    crop_dir = 'data/cropped'\n    label_dir = 'data/labeled'\n    isolate_dir = 'data/isolated'\n    unprocessed_dir = 'data/unprocessed' # optional, will default to 'unprocessed' directory\n\n    # Crop\n    lp.crop(img_path, crop_dir, unprocessed_dir) # option 1\n    lp.process(img_path, unprocessed_dir, crop_dir=crop_dir) # option 2\n\n    # Label\n    lp.label(img_path, label_dir, unprocessed_dir) # option 1\n    lp.process(img_path, unprocessed_dir, label_dir=label_dir) # option 2\n\n    # Isolate\n    lp.isolate(img_path, isolate_dir, unprocessed_dir) # option 1\n    lp.process(img_path, unprocessed_dir, isolate_dir=isolate_dir) # option 2\n\n    # Crop + label + isolate (partiton into given out directories)\n    lp.process(img_path, unprocessed_dir, crop_dir=crop_dir, label_dir=label_dir, isolate_dir=isolate_dir)\n\n************\nHow It Works\n************\n.. image:: https://raw.githubusercontent.com/marsbound/lesion-processor-static/master/docs/lp_detail.png\n    :width: 100%\n    :align: center\n    :alt: lp_overview\n\n**************\nSample Results\n**************\nUsing the crop technique for standardization:\n\n.. image:: https://raw.githubusercontent.com/marsbound/lesion-processor-static/master/docs/results.png\n    :width: 100%\n    :align: center\n    :alt: lp_overview\n\n*******************\nAdditional Features\n*******************\n\n* Concurrently process multiple images\n* Adjustable crop padding size\n* Adjustable label color\n* Adjustable label line thickness\n* Adjustable number of contours to target\n* Adjustable size of kernels for morphological transformations\n* In Progress\n    * Additional thresholding methods\n    * Adjustable padding for isolation process\n\n*******\nLicense\n*******\n\n`Apache License 2.0 <https://www.apache.org/licenses/LICENSE-2.0>`__\n\n\n",
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        "keywords": "",
        "license": "Apache License 2.0",
        "maintainer": "",
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        "name": "lesionprocessor",
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