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        "author": "SimLeek",
        "author_email": "josh.miklos@gmail.com",
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        "classifiers": [
            "Development Status :: 4 - Beta",
            "Intended Audience :: Developers",
            "License :: OSI Approved :: Apache Software License",
            "License :: OSI Approved :: MIT License",
            "Natural Language :: English",
            "Operating System :: OS Independent",
            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: 3.5",
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        "description": "# CVPubSubs\n\nA  threaded PubSub OpenCV interfaceREADME.md. Webcam and video feeds to multiple windows is supported.\n\n## Installation\n\nCVPubSubs is distributed on `PyPI <https://pypi.org>`_ as a universal\nwheel and is available on Linux/macOS and Windows and supports\nPython 2.7/3.5+ and PyPy.\n\n    $ pip install CVPubSubs\n    \n## Usage\n\n### Video Editing and Publishing\n\n#### Display your webcam\n    import cvpubsubs.webcam_pub as w\n    \n    w.VideoHandlerThread().display()\n    \n#### Change Display Arguments\n    import cvpubsubs.webcam_pub as w\n    \n    video_thread = w.VideoHandlerThread(video_source=0,\n                                        callbacks = w.display_callbacks,\n                                        request_size=(800, 600),\n                                        high_speed = False,\n                                        fps_limit = 8\n                                        )\n\n#### handle mouse input\n    import cvpubsubs.webcam_pub as w\n    from cvpubsubs.input import mouse_loop\n    \n    @mouse_loop\n    def print_mouse(mouse_event):\n        print(mouse_event)\n\n    w.VideoHandlerThread().display()\n\n#### take in key input\n    import cvpubsubs.webcam_pub as w\n    from cvpubsubs.input import key_loop\n\n    @key_loop\n    def print_key_thread(key_chr):\n        print(\"key pressed: \" + str(key_chr))\n\n    w.VideoHandlerThread().display()\n\n#### Run your own functions on the frames\n    import cvpubsubs.webcam_pub as w\n    \n    def redden_frame_print_spam(frame, cam_id):\n        frame[:, :, 0] = 0\n        frame[:, :, 1] = 0\n        print(\"Spam!\")\n\n    w.VideoHandlerThread(callbacks=[redden_frame_print_spam] + w.display_callbacks).display()\n\n#### Display a tensor\n\n    def tensor_from_image(frame, cam_id):\n        ten = tensor_from_pytorch_or_tensorflow(frame)\n        return ten\n    \n    t = wp.VideoHandlerThread(video_source=cam, callbacks=[tensor_from_image] + wp.display_callbacks)\n\n    t.display()\n\n#### Display multiple windows from one source\n    import cvpubsubs.webcam_pub as w\n    from cvpubsubs.window_sub import SubscriberWindows\n\n    def cam_handler(frame, cam_id):\n        SubscriberWindows.set_global_frame_dict(cam_id, frame, frame)\n\n    t = w.VideoHandlerThread(0, [cam_handler],\n                             request_size=(1280, 720),\n                             high_speed=True,\n                             fps_limit=240\n                             )\n\n    t.start()\n\n    SubscriberWindows(window_names=['cammy', 'cammy2'],\n                      video_sources=[str(0)]\n                      ).loop()\n\n    t.join()\n    \n#### Display multiple windows from multiple sources\n    iport cvpubsubs.webcam_pub as w\n    from cvpubsubs.window_sub import SubscriberWindows\n\n    t1 = w.VideoHandlerThread(0)\n    t2 = w.VideoHandlerThread(1)\n\n    t1.start()\n    t2.start()\n\n    SubscriberWindows(window_names=['cammy', 'cammy2'],\n                      video_sources=[0,1]\n                      ).loop()\n\n    t1.join()\n    t1.join()\n    \n#### Run a function on each pixel\n    from cvpubsubs.webcam_pub import VideoHandlerThread\n    from cvpubsubs.webcam_pub.callbacks import function_display_callback\n    img = np.zeros((50, 50, 1))\n    img[0:5, 0:5, :] = 1\n\n    def conway_game_of_life(array, coords, finished):\n        neighbors = np.sum(array[max(coords[0] - 1, 0):min(coords[0] + 2, 50),\n                           max(coords[1] - 1, 0):min(coords[1] + 2, 50)])\n        neighbors = max(neighbors - np.sum(array[coords[0:2]]), 0.0)\n        if array[coords] == 1.0:\n            if neighbors < 2 or neighbors > 3:\n                array[coords] = 0.0\n            elif 2 <= neighbors <= 3:\n                array[coords] = 1.0\n        else:\n            if neighbors == 3:\n                array[coords] = 1.0\n\n    VideoHandlerThread(video_source=img, callbacks=function_display_callback(conway_game_of_life)).display()\n\n## License\n\nCVPubSubs is distributed under the terms of both\n\n- `MIT License <https://choosealicense.com/licenses/mit>`_\n- `Apache License, Version 2.0 <https://choosealicense.com/licenses/apache-2.0>`_\n\nat your option.",
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