{
    "info": {
        "author": "Christian Heider Nielsen",
        "author_email": "cnheider@yandex.com",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 4 - Beta",
            "Environment :: Console",
            "Intended Audience :: Developers",
            "Intended Audience :: End Users/Desktop",
            "License :: OSI Approved :: Apache Software License",
            "Natural Language :: English",
            "Operating System :: MacOS :: MacOS X",
            "Operating System :: Microsoft :: Windows",
            "Operating System :: OS Independent",
            "Operating System :: POSIX",
            "Programming Language :: Python :: 3"
        ],
        "description": "\n# [Innovativ brug af Big Data: Deep learning-baseretbilledanalyse](https://confluence.alexandra.dk/display/IBBD5/IBBD5+-+Deep+Learning+baseret+billedanalyse)\n\n| [![Alexandra Institute](  .bitbucket/images/Alexandra_Instituttet_B-logo_BLACK_red-IT_UK.svg)](https://alexandra.dk)  | [![ApplicateIt](.bitbucket/images/applicateit-favicon.png)](http://applicateit.dk)  | [![GameScoreKeeper](.bitbucket/images/gamescorekeeper-favivon.png)](http://gamescorekeeper.com)  |  [![RetinaLyze](.bitbucket/images/retinalyze-favicon.png)](https://www.retinalyze.com) | [![Worksystems](.bitbucket/images/worksystems-favicon.png)](http://www.worksystems.dk) |\n|---|---|---|---|---|\n\n## DLpipeline\n\n### Projektbeskrivelse\nDeep learning har revolutioneret den m\u00e5de, vi arbejder med billeder og data generelt p\u00e5. I gamle dage skulle man v\u00e6re computer vision ekspert for at tr\u00e6kke meningsfuld information ud af billeder. I  dag - takket v\u00e6re deep learning - findes der mange offentligt tilg\u00e6ngelige v\u00e6rkt\u00f8jer, som kan l\u00f8se meget komplekse problemer for \u00e9n, og som man m\u00e5 bruge kvit og frit p\u00e5 sine egne billeddata. Denne data-drevne m\u00e5de at arbejde med billeder p\u00e5 har \u00e5bnet op for en masse nye muligheder, dels fordi deep learning kan l\u00f8se computer vision problemer, man ikke kunne l\u00f8se for bare 5-6 \u00e5r siden, og dels fordi teknologierne er blevet tilg\u00e6ngelige for alle. Det sidste har is\u00e6r medf\u00f8rt, at der begynder at opst\u00e5 rigtig mange ideer til nye forretninger, produkter, ydelser hos folk, som ikke har baggrund inden for computer vision-omr\u00e5det. Det er vigtigt for v\u00e6ksten i Danmark, at virksomheder og vidensinstitutioner st\u00e5r sammen og griber disse ideer, n\u00e5r de opst\u00e5r. Der har virksomhederne is\u00e6r brug for at kunne tr\u00e6kke p\u00e5 den nyeste viden og forskning fra vidensinstitutionerne. Samtidig er det hele s\u00e5 nyt, at vi endnu ikke har l\u00e6rt, hvordan vi bedst underst\u00f8tter hinanden i forhold til deling af viden, kompetencer og erfaringer. Der skal der \u00f8get fokus p\u00e5 samarbejdet mellem virksomheder og videninstitutioner, hvis Danmark skal st\u00e5 st\u00e6rkt i den globale konkurrence med store IT-giganter som Google og Amazon. S\u00e5 dette er den overordnede tanke bag projektet; at skabe et forum, hvor virksomheder og vidensinstitutioner st\u00e5r sammen om at udvikle nye deep  learning-baserede teknologier og (p\u00e5 sigt) produkter relateret til computer vision.\n\nVi har samlet fire virksomheder, som har det til f\u00e6lles, at de hver is\u00e6r st\u00e5r med en udfordring inden for billedbehandling, som bedst l\u00f8ses ved hj\u00e6lp af deep learning, men hvor virksomhederne i varierende grad mangler praktisk erfaring med og viden om teknologien og har brug for hj\u00e6lp til at komme i gang selv. For at underst\u00f8tte denne proces vil vi oprette en wiki eller et chat-forum, hvor virksomhederne kan stille sp\u00f8rgsm\u00e5l til hinanden (og vidensinstitutionerne) og dele deres resultater, viden og erfaringer med hinanden. Vidensinstitutionerne vil skabe det n\u00f8dvendige fundament af kildekode for, at hvert af de fire delprojekter beskrevet nedenfor kan komme i gang. De konkrete deep learning-algoritmer skal tilpasses hver enkelt virksomheds unikke problem, men den underliggende kildekode vil v\u00e6re n\u00e6sten identisk. En del af synergien i  projektet best\u00e5r derfor i  at arbejde sammen omkring den f\u00e6lles kodebase.\n\n\n|  [![Python](.bitbucket/images/python.svg)](https://www.python.org/)|[![TensorFlow](.bitbucket/images/tensorflow.svg)](https://www.tensorflow.org/)|\n|---|---|\n\n### Features\n\n- Data Indl\u00e6sning\n- Augmentering\n- Klassificering\n\n### Installation\n\n```bash\n  pip3 install dlpipeline -U\n```\n\neller hvis du har hentet repositoriet ned kan du bruge\n\n```bash\n  python3 setup.py install\n```\n\n#### DLpipeline Udviklings Milj\u00f8\nDu kan ogs\u00e5 v\u00e6lge at lave et udviklings setup hvor du nemt kan \u00e6ndre koden i dette projekt og lade andre \ndrage nytte af dine \u00e6ndringer, hvis du engang v\u00e6lger at dele dem. Dette kan du g\u00f8re ved at bruge kommandoen:\n\n```bash\n  python3 setup.py develop\n```\n\nog s\u00e5 senere dele dem med ogs\u00e5 andre ved f.eks.\n\n```bash\n  git add -A\n  git commit -m\"Jeg har lavet [disse \u00e6ndringer]\"\n  git push origin\n```\n\n",
        "description_content_type": "text/markdown",
        "docs_url": null,
        "download_url": "https://bitbucket.com/alexandra-institute/dlpipeline/releases",
        "downloads": {
            "last_day": -1,
            "last_month": -1,
            "last_week": -1
        },
        "home_page": "https://bitbucket.com/alexandra-institute/dlpipeline",
        "keywords": "python deep learning interface api",
        "license": "Apache License, Version 2.0",
        "maintainer": "Christian Heider Nielsen",
        "maintainer_email": "cnheider@yandex.com",
        "name": "DLPipeline",
        "package_url": "https://pypi.org/project/DLPipeline/",
        "platform": "",
        "project_url": "https://pypi.org/project/DLPipeline/",
        "project_urls": {
            "Download": "https://bitbucket.com/alexandra-institute/dlpipeline/releases",
            "Homepage": "https://bitbucket.com/alexandra-institute/dlpipeline"
        },
        "release_url": "https://pypi.org/project/DLPipeline/0.1.20190311201423/",
        "requires_dist": [
            "Cython",
            "sklearn",
            "albumentations",
            "Augmentor",
            "matplotlib",
            "numpy",
            "tqdm",
            "h5py",
            "scipy",
            "tensorflow",
            "scikit-image",
            "tensorflow-hub",
            "pandas",
            "flask",
            "imgaug",
            "warg"
        ],
        "requires_python": ">=3",
        "summary": "Platform for experimenting and Prototyping with Deeplearning.",
        "version": "0.1.20190311201423"
    },
    "last_serial": 4926828,
    "releases": {
        "0.1.20181206110730": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "b965bb09593bc2eebe730ce0c5016477",
                    "sha256": "8710e2a71b5e10e0cfd7549eb4708b2efb58aab3162dca01973f26720efd5c30"
                },
                "downloads": -1,
                "filename": "DLPipeline-0.1.20181206110730-py3-none-any.whl",
                "has_sig": false,
                "md5_digest": "b965bb09593bc2eebe730ce0c5016477",
                "packagetype": "bdist_wheel",
                "python_version": "py3",
                "requires_python": ">=3",
                "size": 66584,
                "upload_time": "2018-12-06T11:07:41",
                "url": "https://files.pythonhosted.org/packages/be/8a/fc0b4fcca018ab7734f17b87e0225aa1a2304868914428e7592d4959f640/DLPipeline-0.1.20181206110730-py3-none-any.whl"
            }
        ],
        "0.1.20181206134413": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "d77e70b0758a489b4988675a9897017e",
                    "sha256": "41d704eea2b4313595dc40e546c7eb1ce4818b4c0f01b23d7f5824dfd3123cc0"
                },
                "downloads": -1,
                "filename": "DLPipeline-0.1.20181206134413-py3-none-any.whl",
                "has_sig": false,
                "md5_digest": "d77e70b0758a489b4988675a9897017e",
                "packagetype": "bdist_wheel",
                "python_version": "py3",
                "requires_python": ">=3",
                "size": 66456,
                "upload_time": "2018-12-06T13:44:23",
                "url": "https://files.pythonhosted.org/packages/47/cc/6ba0e2570137b372591ae7d937ef9845fd38b4fda7280a00099e98c478d7/DLPipeline-0.1.20181206134413-py3-none-any.whl"
            }
        ],
        "0.1.20181206140018": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "b932fab4236e7571dcf3edcc5f62107f",
                    "sha256": "6242091bee8e858390eaa9a58ddf3e42daf40b3a58400c19dcf22977bc4d0fbc"
                },
                "downloads": -1,
                "filename": "DLPipeline-0.1.20181206140018-py3-none-any.whl",
                "has_sig": false,
                "md5_digest": "b932fab4236e7571dcf3edcc5f62107f",
                "packagetype": "bdist_wheel",
                "python_version": "py3",
                "requires_python": ">=3",
                "size": 66478,
                "upload_time": "2018-12-06T14:00:35",
                "url": "https://files.pythonhosted.org/packages/6c/02/810b95e774b7d0e2047a9cc3d7b1872ceb5543cbf196173dd9e3e473db7c/DLPipeline-0.1.20181206140018-py3-none-any.whl"
            }
        ],
        "0.1.20181218130755": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "5e0cc0b14cf52dfeccbc0c490ef2ef1c",
                    "sha256": "2d083cd340b4952cd4db55dd88be40ffba69bcb58962b82f589728a97c0d0d7b"
                },
                "downloads": -1,
                "filename": "DLPipeline-0.1.20181218130755-py3-none-any.whl",
                "has_sig": false,
                "md5_digest": "5e0cc0b14cf52dfeccbc0c490ef2ef1c",
                "packagetype": "bdist_wheel",
                "python_version": "py3",
                "requires_python": ">=3",
                "size": 62941,
                "upload_time": "2018-12-18T13:08:12",
                "url": "https://files.pythonhosted.org/packages/2f/0d/6ee205f63668afbe195bbe9067327da1af77a9045f141d61b524670f0125/DLPipeline-0.1.20181218130755-py3-none-any.whl"
            }
        ],
        "0.1.20181218134819": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "98ad5e17186f8f371e5f60aa5a04ae14",
                    "sha256": "1425a2b1258f2266a899d82bac0a17bc45e6e21c26f8ef33d3d548e56e8ad2b7"
                },
                "downloads": -1,
                "filename": "DLPipeline-0.1.20181218134819-py3-none-any.whl",
                "has_sig": false,
                "md5_digest": "98ad5e17186f8f371e5f60aa5a04ae14",
                "packagetype": "bdist_wheel",
                "python_version": "py3",
                "requires_python": ">=3",
                "size": 62940,
                "upload_time": "2018-12-18T13:48:26",
                "url": "https://files.pythonhosted.org/packages/fb/eb/73aea993927d60350546392a12a5e9ff60f10bbb1787e030e05683e0df21/DLPipeline-0.1.20181218134819-py3-none-any.whl"
            }
        ],
        "0.1.20181218141029": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "bd798ac95a07a211bccbcdfc27f22ade",
                    "sha256": "0d8bf234868572afd90231272e09c9220e4874ebb9d080e07333da9f6429b003"
                },
                "downloads": -1,
                "filename": "DLPipeline-0.1.20181218141029-py3-none-any.whl",
                "has_sig": false,
                "md5_digest": "bd798ac95a07a211bccbcdfc27f22ade",
                "packagetype": "bdist_wheel",
                "python_version": "py3",
                "requires_python": ">=3",
                "size": 62942,
                "upload_time": "2018-12-18T14:10:49",
                "url": "https://files.pythonhosted.org/packages/e8/27/ab58426d4395e7d89bfc5d9ccf089264a2dff7239c8a7e53ecd52563a2bf/DLPipeline-0.1.20181218141029-py3-none-any.whl"
            }
        ],
        "0.1.20181219110645": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "6ae90d00329f3dc7817e4dce083e1f1d",
                    "sha256": "315c5539b14bb7ab1e13f10c54c67aba10f04e0ccf0f51f0224334d6d67e49c0"
                },
                "downloads": -1,
                "filename": "DLPipeline-0.1.20181219110645-py3-none-any.whl",
                "has_sig": false,
                "md5_digest": "6ae90d00329f3dc7817e4dce083e1f1d",
                "packagetype": "bdist_wheel",
                "python_version": "py3",
                "requires_python": ">=3",
                "size": 65344,
                "upload_time": "2018-12-19T11:07:02",
                "url": "https://files.pythonhosted.org/packages/9a/3b/c4f26e8db3e238612fc6b57b6ac7cc432f2a83327057d0537db5db229674/DLPipeline-0.1.20181219110645-py3-none-any.whl"
            }
        ],
        "0.1.20190108092101": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "7703c74ada275f55159ba7f0e583bd11",
                    "sha256": "92663059e3e196e5c687f9ec5aad84984cc4e42f20917397c9ad0499679328a2"
                },
                "downloads": -1,
                "filename": "DLPipeline-0.1.20190108092101-py3-none-any.whl",
                "has_sig": false,
                "md5_digest": "7703c74ada275f55159ba7f0e583bd11",
                "packagetype": "bdist_wheel",
                "python_version": "py3",
                "requires_python": ">=3",
                "size": 67631,
                "upload_time": "2019-01-08T09:21:13",
                "url": "https://files.pythonhosted.org/packages/88/a5/37e536c7f2d211d90c4af3ac3d4f9bf9975c522a190b92598ed5fa820ac3/DLPipeline-0.1.20190108092101-py3-none-any.whl"
            }
        ],
        "0.1.20190108124048": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "93fd7e356683be81277f4c46468c7705",
                    "sha256": "76fb0a33d06b57b0568ffcff00439c247ccaac942c2e1ea053aaf94cace0f86b"
                },
                "downloads": -1,
                "filename": "DLPipeline-0.1.20190108124048-py3-none-any.whl",
                "has_sig": false,
                "md5_digest": "93fd7e356683be81277f4c46468c7705",
                "packagetype": "bdist_wheel",
                "python_version": "py3",
                "requires_python": ">=3",
                "size": 67630,
                "upload_time": "2019-01-08T12:41:15",
                "url": "https://files.pythonhosted.org/packages/ea/ef/fe5f40f9d0e26682b6f42f23aba685e60b6d84fdc7a39323c8e0b2673337/DLPipeline-0.1.20190108124048-py3-none-any.whl"
            }
        ],
        "0.1.20190116131532": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "6c77aec32d1691a109f86bf627853e57",
                    "sha256": "b4b9d8141b822471afa979422b89d75ecf4359f473d3c1be49a3072702769f66"
                },
                "downloads": -1,
                "filename": "DLPipeline-0.1.20190116131532-py3-none-any.whl",
                "has_sig": false,
                "md5_digest": "6c77aec32d1691a109f86bf627853e57",
                "packagetype": "bdist_wheel",
                "python_version": "py3",
                "requires_python": ">=3",
                "size": 70558,
                "upload_time": "2019-01-16T13:15:36",
                "url": "https://files.pythonhosted.org/packages/e7/f1/7a881ba70479c939de301b2911adb48fb9958e60928a5a03f3f77f2b9493/DLPipeline-0.1.20190116131532-py3-none-any.whl"
            }
        ],
        "0.1.20190311130033": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "03ef23b2225bb461249a7fafaa54c78e",
                    "sha256": "6742b590d65d5d170b5de031436bbeb04e56c0e5a575ba5212f2c3689376de7a"
                },
                "downloads": -1,
                "filename": "DLPipeline-0.1.20190311130033-py3-none-any.whl",
                "has_sig": false,
                "md5_digest": "03ef23b2225bb461249a7fafaa54c78e",
                "packagetype": "bdist_wheel",
                "python_version": "py3",
                "requires_python": ">=3",
                "size": 65712,
                "upload_time": "2019-03-11T13:01:11",
                "url": "https://files.pythonhosted.org/packages/29/06/ab9ae4b1c1ba3dfd1e18661ff3645115e1225cdbd18e31177e17af407e23/DLPipeline-0.1.20190311130033-py3-none-any.whl"
            }
        ],
        "0.1.20190311201423": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "06ad0b7bac86cfde0e4b99aa7101650a",
                    "sha256": "e35527317a351265bc6867595e13406031da07ed3a9f9d54bc7f5ca795cd09b1"
                },
                "downloads": -1,
                "filename": "DLPipeline-0.1.20190311201423-py3-none-any.whl",
                "has_sig": false,
                "md5_digest": "06ad0b7bac86cfde0e4b99aa7101650a",
                "packagetype": "bdist_wheel",
                "python_version": "py3",
                "requires_python": ">=3",
                "size": 84095,
                "upload_time": "2019-03-11T20:15:51",
                "url": "https://files.pythonhosted.org/packages/a0/b3/9b4199c6133f99aaec681b28ced97d28d1e674ca30bcd356e1959e36317c/DLPipeline-0.1.20190311201423-py3-none-any.whl"
            }
        ],
        "0.1.post20181102093916": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "c29b6504f5682e1c59c4a929de40dfeb",
                    "sha256": "7c2ccc28ae8c717613ab1b999d0f09fee1d72268399d9b75052a8c1f42469391"
                },
                "downloads": -1,
                "filename": "DLPipeline-0.1.post20181102093916-py3-none-any.whl",
                "has_sig": false,
                "md5_digest": "c29b6504f5682e1c59c4a929de40dfeb",
                "packagetype": "bdist_wheel",
                "python_version": "py3",
                "requires_python": ">=3",
                "size": 61783,
                "upload_time": "2018-11-02T09:39:27",
                "url": "https://files.pythonhosted.org/packages/49/c3/7058009869945bb62550a03fe68bd80732f37ceb2628fa60011d11909b27/DLPipeline-0.1.post20181102093916-py3-none-any.whl"
            }
        ]
    },
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "md5": "06ad0b7bac86cfde0e4b99aa7101650a",
                "sha256": "e35527317a351265bc6867595e13406031da07ed3a9f9d54bc7f5ca795cd09b1"
            },
            "downloads": -1,
            "filename": "DLPipeline-0.1.20190311201423-py3-none-any.whl",
            "has_sig": false,
            "md5_digest": "06ad0b7bac86cfde0e4b99aa7101650a",
            "packagetype": "bdist_wheel",
            "python_version": "py3",
            "requires_python": ">=3",
            "size": 84095,
            "upload_time": "2019-03-11T20:15:51",
            "url": "https://files.pythonhosted.org/packages/a0/b3/9b4199c6133f99aaec681b28ced97d28d1e674ca30bcd356e1959e36317c/DLPipeline-0.1.20190311201423-py3-none-any.whl"
        }
    ]
}