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        "author": "Thomas Gilgenast",
        "author_email": "thomasgilgenast@gmail.com",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 3 - Alpha",
            "Environment :: Console",
            "Intended Audience :: Developers",
            "Intended Audience :: Science/Research",
            "Operating System :: OS Independent",
            "Programming Language :: Python :: 2",
            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.4",
            "Programming Language :: Python :: 3.5",
            "Programming Language :: Python :: 3.6",
            "Topic :: Multimedia :: Graphics :: Viewers",
            "Topic :: Scientific/Engineering :: Visualization"
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        "description": "projectile\r\n==========\r\n\r\nA tile-on-demand tile server built with PIL and Tornado.\r\n\r\nMotivation\r\n----------\r\n\r\nWe want to store a high-resolution image in memory on the server as a numpy\r\narray. Then when a client requests a particular tile, we can make the PNG of the\r\nrequested tile by slicing the numpy array and using PIL to write the resulting\r\nPNG back to the client through a StringIO stream.\r\n\r\nThis is primarily intended for building interactive visualizations in research\r\nsettings where we might want to skip the time- and/or disk-intensive tile\r\ngeneration step required by typical tile servers.\r\n\r\nDemo\r\n----\r\n\r\nInstall projectile\r\n\r\n    $ pip install projectile\r\n\r\nServe a test image from the [USC-SIPI Image Database](http://sipi.usc.edu/database/):\r\n\r\n    $ projectile sanfran\r\n\r\nManually request a particular tile by navigating to <http://localhost:8000/2/1/2.png>.\r\n\r\nTry zooming and panning in the demo client by navigating to <http://localhost:8000/>.\r\n\r\nServe one of your own images (any format readable by PIL) with\r\n\r\n    $ projectile some_image.tiff\r\n\r\nor, if you have data in a numpy `.npy` file,\r\n\r\n    $ projectile some_image.npy\r\n\r\nLoad an image in grayscale mode and apply a colormap:\r\n\r\n    $ projectile --mode L --cmap viridis pentagon\r\n\r\nStress testing\r\n--------------\r\n\r\nTo test the performance limits of on-demand tiling, download this\r\n[high resolution map of Great Britain](https://commons.wikimedia.org/wiki/File:A_new_map_of_Great_Britain_according_to_the_newest_and_most_exact_observations_(8342715024).jpg)\r\n(8,150 \u00d7 13,086 pixels, file size: 102.74 MB) from Wikimedia Commons.\r\n\r\nGrayscale performance test:\r\n\r\n    $ projectile britain.jpg -m L\r\n\r\nReducing tile resolution when running in color:\r\n\r\n    $ projectile britain.jpg --tile_size 128\r\n\r\nDependencies\r\n------------\r\n\r\n - `numpy>=1.13.3`\r\n - `Pillow>=4.3.0`\r\n - `tornado>=4.5.2`\r\n - `matplotlib>=2.1.0`\r\n\r\nAPI\r\n---\r\n\r\n### URL scheme\r\n\r\nThe server will serve grayscale and RGB images in their original colors at\r\n\r\n    /<z>/<x>/<y>/<s>.png\r\n\r\nwhere `<z>` is the zoom level, `<x>` and `<y>` specify the coordinates of the\r\ntile at that zoom level (`0/0` is the top left tile), and `<s>` specifies the\r\nimage tile resolution in pixels (must be a power of 2).\r\n\r\nThe server will serve colormapped versions of a grayscale image at\r\n\r\n    /<z>/<x>/<y>/<s>/<cmap>/<vmin>/<vmax>.png\r\n\r\nwhere `<cmap>` is the name of a matplotlib colormap, and `<vmin>` and `<vmax>`\r\nspecify the range of image pixel values linearly interpolate against the\r\ncolormap (pixel values outside this range will be clipped).\r\n\r\n### Using a custom client\r\n\r\nIf you like the projectile backend but just want to use a simple custom client\r\ncontained in a single HTML file `custom_client.html`, you can run\r\n\r\n    $ projectile array.npy --client custom_client.html\r\n\r\nto make projectile serve your client instead of the included demo client.\r\n\r\n### Using projectile in your existing Tornado web application\r\n\r\nThe core functionality is exposed in the `TileHandler` class defined in\r\n[server.py](projectile/server.py), which you can use in your own Tornado web\r\napplications:\r\n\r\n```python\r\nfrom tornado import web\r\nfrom projectile.server import TileHandler\r\n\r\n...\r\n\r\napp = web.Application([\r\n    (r'/([0-9]+)/([0-9]+)/([0-9]+)/([0-9]+).png', TileHandler,\r\n     dict(array=array)),\r\n    ...\r\n])\r\n\r\n...\r\n```\r\n\r\n### Launching projectile from your own Python code\r\n\r\nYou can also launch a server from your own Python code with the `run()` function\r\ndefined in [server.py](projectile/server.py):\r\n\r\n```python\r\nfrom projectile.server import run\r\n\r\nrun(array)\r\n```\r\n\r\nCredits\r\n-------\r\n\r\nThe demo client is lifted from <http://bl.ocks.org/mbostock/5914438>, with the\r\naddition of a small filtering check to prevent the client from requesting tiles\r\nwhich lie beyond the image boundaries.\r\n\r\n\r\n",
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