nouveau


Namenouveau JSON
Version 0.0.5 PyPI version JSON
download
home_pagehttps://github.com/dactylroot/nouveau
Summarypublic domain art nouveau image data
upload_time2024-01-26 23:33:41
maintainer
docs_urlNone
author
requires_python>=3.5
licenseUnlicense
keywords art data dataset
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            
# Art Nouveau Design Data

Public domain lazy-downloading data samples.

## Morris

This is a collection of designs by the famous Morris company artists of the 1800s.

# Format

 - image: image in numpy array or PyTorch tensor format
 - name: a common name for the design
 - year: initial year of design

# Example Use

    import nouveau
    data = nouveau.Morris()
    
    data.index.head()
    >> shows pandas dataframe head
    
    data[0]
    >> {'year': 1862,
    >>  'name': 'Fruit-Blue',
    >>  'filename': '1862-Fruit-Blue.jpg',
    >>  'image': array([[[254, 253, 249], ...
    
    data.show(1)
    >> <pyplot image>
    
    data.show('Fruit-Blue')
    >> <pyplot image>
    
    tensors = data.torch()
    tensors[0][0].shape
    >> torch.Size([3, 1987, 1586])


---
license: unlicense
task_categories:
- image-classification
pretty_name: Morris Co. Public Domain Art
size_categories:
- n<1K
---

            

Raw data

            {
    "_id": null,
    "home_page": "https://github.com/dactylroot/nouveau",
    "name": "nouveau",
    "maintainer": "",
    "docs_url": null,
    "requires_python": ">=3.5",
    "maintainer_email": "",
    "keywords": "art,data,dataset",
    "author": "",
    "author_email": "",
    "download_url": "https://files.pythonhosted.org/packages/7b/7f/9f14612cabbf880603c182403dc53aaa44e540f28453c69e5b90d689fe8f/nouveau-0.0.5.tar.gz",
    "platform": null,
    "description": "\n# Art Nouveau Design Data\n\nPublic domain lazy-downloading data samples.\n\n## Morris\n\nThis is a collection of designs by the famous Morris company artists of the 1800s.\n\n# Format\n\n - image: image in numpy array or PyTorch tensor format\n - name: a common name for the design\n - year: initial year of design\n\n# Example Use\n\n    import nouveau\n    data = nouveau.Morris()\n    \n    data.index.head()\n    >> shows pandas dataframe head\n    \n    data[0]\n    >> {'year': 1862,\n    >>  'name': 'Fruit-Blue',\n    >>  'filename': '1862-Fruit-Blue.jpg',\n    >>  'image': array([[[254, 253, 249], ...\n    \n    data.show(1)\n    >> <pyplot image>\n    \n    data.show('Fruit-Blue')\n    >> <pyplot image>\n    \n    tensors = data.torch()\n    tensors[0][0].shape\n    >> torch.Size([3, 1987, 1586])\n\n\n---\nlicense: unlicense\ntask_categories:\n- image-classification\npretty_name: Morris Co. Public Domain Art\nsize_categories:\n- n<1K\n---\n",
    "bugtrack_url": null,
    "license": "Unlicense",
    "summary": "public domain art nouveau image data",
    "version": "0.0.5",
    "project_urls": {
        "Download": "https://github.com/dactylroot/nouveau/archive/0.0.5.tar.gz",
        "Homepage": "https://github.com/dactylroot/nouveau"
    },
    "split_keywords": [
        "art",
        "data",
        "dataset"
    ],
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "4f18ca94a1e70fa0488c2b5ac62b9921ca5aaf82f81bb94fd047a1e256c77478",
                "md5": "4d3c781d0bcebddfa0bd8e40b4521503",
                "sha256": "7f62b4e1916c6381cbd32a3479441fcad29d68f1d6058b952e98642dd97b3a4d"
            },
            "downloads": -1,
            "filename": "nouveau-0.0.5-py3-none-any.whl",
            "has_sig": false,
            "md5_digest": "4d3c781d0bcebddfa0bd8e40b4521503",
            "packagetype": "bdist_wheel",
            "python_version": "py3",
            "requires_python": ">=3.5",
            "size": 5018,
            "upload_time": "2024-01-26T23:33:39",
            "upload_time_iso_8601": "2024-01-26T23:33:39.102821Z",
            "url": "https://files.pythonhosted.org/packages/4f/18/ca94a1e70fa0488c2b5ac62b9921ca5aaf82f81bb94fd047a1e256c77478/nouveau-0.0.5-py3-none-any.whl",
            "yanked": false,
            "yanked_reason": null
        },
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "7b7f9f14612cabbf880603c182403dc53aaa44e540f28453c69e5b90d689fe8f",
                "md5": "a01dd1506a7307d55c25dcdfb6cb368a",
                "sha256": "ee1b3aea3ccadc56422264d9918004369ecbee55d92fadf04320ff93f7ed61bd"
            },
            "downloads": -1,
            "filename": "nouveau-0.0.5.tar.gz",
            "has_sig": false,
            "md5_digest": "a01dd1506a7307d55c25dcdfb6cb368a",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": ">=3.5",
            "size": 4350,
            "upload_time": "2024-01-26T23:33:41",
            "upload_time_iso_8601": "2024-01-26T23:33:41.108096Z",
            "url": "https://files.pythonhosted.org/packages/7b/7f/9f14612cabbf880603c182403dc53aaa44e540f28453c69e5b90d689fe8f/nouveau-0.0.5.tar.gz",
            "yanked": false,
            "yanked_reason": null
        }
    ],
    "upload_time": "2024-01-26 23:33:41",
    "github": true,
    "gitlab": false,
    "bitbucket": false,
    "codeberg": false,
    "github_user": "dactylroot",
    "github_project": "nouveau",
    "travis_ci": false,
    "coveralls": false,
    "github_actions": false,
    "lcname": "nouveau"
}
        
Elapsed time: 0.88262s