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    "info": {
        "author": "Andreas Bunkahle",
        "author_email": "abunkahle@t-online.de",
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        "classifiers": [
            "Development Status :: 4 - Beta",
            "License :: OSI Approved :: BSD License",
            "Programming Language :: Python :: 2",
            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.6",
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        "description": "# numpy2gif\nPython library to convert single and multiple numpy images to a gif image without PIL or pillow. OpenCV does not support gif images. This a fork of array2gif from Tanya Schlusser found at:\nhttps://github.com/tanyaschlusser/array2gif\n\nInstall it with \n\n    setup.py install\n    \nor with\n\n    pip install numpy2gif\n    \n# Usage\n\nYou can use the library this way:\n\n    from __future__ import print_function\n    from numpy2gif import write_gif\n    import cv2\n    images = [cv2.cvtColor(cv2.imread(\"Images/number\"+str(i)+\".bmp\"), cv2.COLOR_BGR2RGB) for i in range(1, 5)]\n    print(type(images[0]))\n    print(images[0].shape, images[0].dtype)\n    write_gif(images, \"countdown.gif\", fps=3)\n    write_gif(images[0], \"one.gif\")\n\nTry a backward test from converting a gif to numpy frames with the external module gif2numpy and back to a multiple gif image with numpy2gif:\n\n    from __future__ import print_function\n    from gif2numpy import convert\n    from numpy2gif import write_gif\n    import cv2\n\n    image = \"Images/Rotating_earth.gif\"\n    frames, exts, image_specs = convert(image, BGR2RGB=False)\n    print(\"len(frames), len(exts), exts[0]['delay_time']\", len(frames), len(exts), exts[0]['delay_time'])\n    write_gif(frames, 'Rotating_earth_new.gif', fps=12)\n    write_gif(frames[0], 'earth.gif')\n    \n# Version history\n\n1.0: first release\n\n# Dependencies\n\nYou need to install numpy by:\n\n    pip install numpy",
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