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        "author": "Dave Williams",
        "author_email": "cdave@uw.edu",
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            "Development Status :: 4 - Beta",
            "Intended Audience :: Science/Research",
            "License :: OSI Approved :: MIT License",
            "Operating System :: OS Independent",
            "Programming Language :: Python",
            "Topic :: Multimedia :: Graphics",
            "Topic :: Scientific/Engineering :: Interface Engine/Protocol Translator"
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        "description": "===========\ntiffcapture\n===========\n\nProvides a PIL based capture interface to multi-part tiffs, allowing them to be used more easily with OpenCV. This allows you to use OpenCV's image and video processing capabilities with tiff stacks, a video form frequently encountered in scientific video as it is lossless and supports custom metadata. \n\nExamples\n========\n\nA minimal example looks like this::\n\n    import tiffcapture as tc\n    import matplotlib.pyplot as plt\n    tiff = tc.opentiff(filename)\n    plt.imshow(tiff.read()[1])\n    plt.show()\n    tiff.release()\n    \n\nMore real world usage looks like this::\n\n    import tiffcapture as tc\n    import cv2\n    tiff = tc.opentiff(filename) #open img\n    _, first_img = tiff.retrieve() \n    cv2.namedWindow('video')\n    for img in tiff:\n        tempimg = cv2.absdiff(first_img, img) # bkgnd sub\n        _, tempimg = cv2.threshold(tempimg, 5, 255, \n            cv2.THRESH_BINARY) # convert to binary\n        cv2.imshow('video', tempimg)\n        cv2.waitKey(80)\n    cv2.destroyWindow('video')\n    \n\n",
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