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            "Development Status :: 3 - Alpha",
            "License :: OSI Approved :: MIT License",
            "Topic :: Multimedia :: Graphics :: Graphics Conversion"
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        "description": "# WebP Python bindings\n\n[![CircleCI](https://img.shields.io/circleci/project/github/anibali/pywebp.svg)](https://circleci.com/gh/anibali/pywebp)\n[![license](https://img.shields.io/github/license/anibali/pywebp.svg)](https://github.com/anibali/pywebp/blob/master/LICENSE)\n[![GitHub](https://img.shields.io/badge/github-anibali%2Fpywebp-blue.svg)](https://github.com/anibali/pywebp)\n\n## Installation\n\n```sh\npip install webp\n```\n\n### Requirements\n\n* [libwebp](https://github.com/webmproject/libwebp) (tested with v1.0.3)\n  - Install libwebpmux and libwebpdemux components as well.\n  - Check out the Dockerfile for steps to build from source on Ubuntu.\n* Python 3 (tested with v3.6)\n* cffi (tested with 1.10.0)\n* Pillow (tested with v4.1.1)\n* numpy (tested with v1.12.1)\n\n## Usage\n\n```python\nimport webp\n```\n\n### Simple API\n\n```python\n# Save an image\nwebp.save_image(img, 'image.webp', quality=80)\n\n# Load an image\nimg = webp.load_image('image.webp', 'RGBA')\n\n# Save an animation\nwebp.save_images(imgs, 'anim.webp', fps=10, lossless=True)\n\n# Load an animation\nimgs = webp.load_images('anim.webp', 'RGB', fps=10)\n```\n\nIf you prefer working with numpy arrays, use the functions `imwrite`, `imread`, `mimwrite`,\nand `mimread` instead.\n\n### Advanced API\n\n```python\n# Encode a PIL image to WebP in memory, with encoder hints\npic = webp.WebPPicture.from_pil(img)\nconfig = WebPConfig.new(preset=webp.WebPPreset.PHOTO, quality=70)\nbuf = pic.encode(config).buffer()\n\n# Read a WebP file and decode to a BGR numpy array\nwith open('image.webp', 'rb') as f:\n  webp_data = webp.WebPData.from_buffer(f.read())\n  arr = webp_data.decode(color_mode=WebPColorMode.BGR)\n\n# Save an animation\nenc = webp.WebPAnimEncoder.new(width, height)\ntimestamp_ms = 0\nfor img in imgs:\n  pic = webp.WebPPicture.from_pil(img)\n  enc.encode_frame(pic, timestamp_ms)\n  timestamp_ms += 250\nanim_data = enc.assemble(timestamp_ms)\nwith open('anim.webp', 'wb') as f:\n  f.write(anim_data.buffer())\n\n# Load an animation\nwith open('anim.webp', 'rb') as f:\n  webp_data = webp.WebPData.from_buffer(f.read())\n  dec = webp.WebPAnimDecoder.new(webp_data)\n  for arr, timestamp_ms in dec.frames():\n    # `arr` contains decoded pixels for the frame\n    # `timestamp_ms` contains the _end_ time of the frame\n    pass\n```\n\n## Features\n\n* Picture encoding/decoding\n* Animation encoding/decoding\n* Automatic memory management\n* Simple API for working with `PIL.Image` objects\n\n### Not implemented\n\n* Encoding/decoding still images in YUV color mode\n* Advanced muxing/demuxing (color profiles, etc.)\n* Expose all useful fields\n\n## Developer notes\n\n### Running tests\n\nThe CircleCI local CLI should be used to run tests in an isolated environment:\n\n```bash\n$ circleci local execute\n```\n\n## Known issues\n\n* An animation where all frames are identical will \"collapse\" in on itself,\n  resulting in a single frame. Unfortunately, WebP seems to discard timestamp\n  information in this case, which breaks `webp.load_images` when the FPS\n  is specified.",
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