{ "info": { "author": "Jason Cramer, Vincent Lostanlen, Justin Salamon, Andrew Farnsworth, and Juan Pablo Bello", "author_email": "jtcramer@nyu.edu", "bugtrack_url": null, "classifiers": [ "Development Status :: 3 - Alpha", "License :: OSI Approved :: MIT License", "Programming Language :: Python :: 2", "Programming Language :: Python :: 2.7", "Programming Language :: Python :: 3", "Programming Language :: Python :: 3.5", "Programming Language :: Python :: 3.6", "Topic :: Multimedia :: Sound/Audio :: Analysis" ], "description": "# BirdVoxClassify: species classification of bird flight calls\n\nAn open-source Python library and command-line tool for classifying bird species from flight calls in audio recordings.\n\n[![PyPI](https://img.shields.io/badge/python-3.5%2C%203.6-blue.svg)]()\n[![MIT license](https://img.shields.io/badge/License-MIT-blue.svg)](https://choosealicense.com/licenses/mit/)\n[![Coverage Status](https://coveralls.io/repos/github/BirdVox/birdvoxclassify/badge.svg)](https://coveralls.io/github/BirdVox/birdvoxclassify)\n[![Build Status](https://travis-ci.org/BirdVox/birdvoxclassify.svg?branch=master)](https://travis-ci.org/BirdVox/birdvoxclassify)\n[![Documentation Status](https://readthedocs.org/projects/birdvoxclassify/badge/?version=latest)](http://birdvoxclassify.readthedocs.io/en/latest/?badge=latest)\n\nBirdVoxClassify is a pre-trained deep learning system for classifying bird species from flight calls in short audio recordings.\nIt relies on per-channel energy normalization (PCEN) for improved robustness to background noise.\nIt is made available both as a Python library and as a command-line tool for Windows, OS X, and Linux.\n\n\n# Installation instructions\n\nDependencies\n------------\n#### TensorFlow\nBecause TensorFlow comes in CPU-only and GPU-enabled variants, we leave it up to the user to install the version that best fits\ntheir use case.\n\nOn most platforms, either of the following commands should properly install TensorFlow:\n\n pip install tensorflow # CPU-only version\n pip install tensorflow-gpu # GPU-enabled version\n\nFor more detailed information, please consult the\n[installation instructions of TensorFlow](https://www.tensorflow.org/install/).\n\n#### libsndfile (Linux only)\nBirdVoxClassify depends on the PySoundFile module to load audio files, which itself depends on the non-Python library libsndfile.\nOn Windows and Mac OS X, these will be installed automatically via the ``pip`` package manager and you can therefore skip this step.\nHowever, on Linux, `libsndfile` must be installed manually via your platform's package manager.\nFor Debian-based distributions (such as Ubuntu), this can be done by simply running\n\n apt-get install libsndfile\n\nFor more detailed information, please consult the\n[installation instructions of pysoundfile](https://pysoundfile.readthedocs.io/en/0.9.0/#installation>).\n\n\nInstalling BirdVoxClassify\n------------------------\nThe simplest way to install BirdVoxClassify is by using ``pip``, which will also install the additional required dependencies\nif needed.\n\nTo install the latest version of BirdVoxClassify from source:\n\n1. Clone or pull the latest version:\n\n git clone git@github.com:BirdVox/birdvoxclassify.git\n\n2. Install using pip to handle Python dependencies:\n\n cd birdvoxclassify\n pip install -e .", "description_content_type": "text/markdown", "docs_url": null, "download_url": "", "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 }, "home_page": "https://github.com/BirdVox/birdvoxclassify", "keywords": "tfrecord", "license": "MIT", "maintainer": "", "maintainer_email": "", "name": "birdvoxclassify", "package_url": "https://pypi.org/project/birdvoxclassify/", "platform": "", "project_url": "https://pypi.org/project/birdvoxclassify/", "project_urls": { "Homepage": "https://github.com/BirdVox/birdvoxclassify", "Source": "https://github.com/BirdVox/birdvoxclassify", "Tracker": "https://github.com/BirdVox/birdvoxclassify/issues" }, "release_url": "https://pypi.org/project/birdvoxclassify/0.1.0a0/", "requires_dist": null, "requires_python": "", "summary": "Species identification from bird flight call recordings", "version": "0.1.0a0" }, "last_serial": 5673874, "releases": { "0.1.0a0": [ { "comment_text": "", "digests": { "md5": "9db878beab5d3256a51dcaf69462f0a2", "sha256": "a14a1809c895597bc3962e8273f93d502df82fc49f9a37eafdb138dd53daad46" }, "downloads": -1, "filename": "birdvoxclassify-0.1.0a0.tar.gz", "has_sig": false, "md5_digest": "9db878beab5d3256a51dcaf69462f0a2", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 12642, "upload_time": "2019-08-13T22:09:24", "url": "https://files.pythonhosted.org/packages/c7/eb/47eaea7746ee402d0b42cbb33d6a888d840483f7d84b3cecfab21fa8d23a/birdvoxclassify-0.1.0a0.tar.gz" } ] }, "urls": [ { "comment_text": "", "digests": { "md5": "9db878beab5d3256a51dcaf69462f0a2", "sha256": "a14a1809c895597bc3962e8273f93d502df82fc49f9a37eafdb138dd53daad46" }, "downloads": -1, "filename": "birdvoxclassify-0.1.0a0.tar.gz", "has_sig": false, "md5_digest": "9db878beab5d3256a51dcaf69462f0a2", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 12642, "upload_time": "2019-08-13T22:09:24", "url": "https://files.pythonhosted.org/packages/c7/eb/47eaea7746ee402d0b42cbb33d6a888d840483f7d84b3cecfab21fa8d23a/birdvoxclassify-0.1.0a0.tar.gz" } ] }