{ "info": { "author": "Gaston Gustavo Rios", "author_email": "okason1997@hotmail.com", "bugtrack_url": null, "classifiers": [ "License :: OSI Approved :: MIT License", "Operating System :: OS Independent", "Programming Language :: Python :: 3" ], "description": "# DenseNet implementation using Tensorflow 2\n\n## Quickstart\n\n```sh\n$ ./bin/start\n```\n\n## Setup and use docker\n\nBuild the docker image,\n\n```sh\n$ docker build --rm -f dockerfiles/cpu-jupiter.Dockerfile -t sign-language-recognition:latest .\n```\n\nand now run the image\n\n```sh\n$ docker run -v \"$(pwd)/notebooks:/tf/notebooks\" --rm -u $(id -u):$(id -g) -p 6006:6006 -p 8888:8888 sign-language-recognition:latest\n```\n\nVisit that link, hey look your jupyter notebooks are ready to be created.\nChanges in ./notebooks will be saved.\n\nIf you want, you can attach a shell to the running container\n\n```sh\n$ docker exec -it /bin/sh -c \"[ -e /bin/bash ] && /bin/bash || /bin/sh\"\n```\n\n\n", "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/okason97/DenseNet-Tensorflow2", "keywords": "", "license": "", "maintainer": "", "maintainer_email": "", "name": "densenet", "package_url": "https://pypi.org/project/densenet/", "platform": "", "project_url": "https://pypi.org/project/densenet/", "project_urls": { "Homepage": "https://github.com/okason97/DenseNet-Tensorflow2" }, "release_url": "https://pypi.org/project/densenet/0.1/", "requires_dist": [ "tensorflow (==2.0.0-alpha0)", "numpy" ], "requires_python": "", "summary": "A densenet implementation using tensorflow2", "version": "0.1" }, "last_serial": 5359449, "releases": { "0.1": [ { "comment_text": "", "digests": { "md5": "5397296f4e652eb1e8102ffffc63f4c0", "sha256": "77b031b918bc5f1e0c9cde35bc05dd9f6df72a1ac8899e5bde94808a41419929" }, "downloads": -1, "filename": "densenet-0.1-py3-none-any.whl", "has_sig": false, "md5_digest": "5397296f4e652eb1e8102ffffc63f4c0", "packagetype": "bdist_wheel", "python_version": "py3", "requires_python": null, "size": 5586, "upload_time": "2019-06-04T20:10:38", "url": "https://files.pythonhosted.org/packages/bc/0b/c9db312e9161117f7668012073eef19b051fe715ee02bf337e83128c18e0/densenet-0.1-py3-none-any.whl" } ] }, "urls": [ { "comment_text": "", "digests": { "md5": "5397296f4e652eb1e8102ffffc63f4c0", "sha256": "77b031b918bc5f1e0c9cde35bc05dd9f6df72a1ac8899e5bde94808a41419929" }, "downloads": -1, "filename": "densenet-0.1-py3-none-any.whl", "has_sig": false, "md5_digest": "5397296f4e652eb1e8102ffffc63f4c0", "packagetype": "bdist_wheel", "python_version": "py3", "requires_python": null, "size": 5586, "upload_time": "2019-06-04T20:10:38", "url": "https://files.pythonhosted.org/packages/bc/0b/c9db312e9161117f7668012073eef19b051fe715ee02bf337e83128c18e0/densenet-0.1-py3-none-any.whl" } ] }