skelly-viewer


Nameskelly-viewer JSON
Version 2024.12.1026 PyPI version JSON
download
home_pageNone
SummaryView a skelly
upload_time2024-12-17 17:57:12
maintainerNone
docs_urlNone
authorNone
requires_python<3.13,>=3.9
licenseNone
keywords basic template python repository
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            # Installation

Create a conda environment using Python 3.11 (recommended, untested on other versions) and activate your conda environment 

Install skelly_viewer using `pip install skelly_viewer`

# Usage

After installing, in your conda terminal (with the right environment active), type `skelly_viewer'

You should see a GUI pop up with an empty graph, a slider, and two buttons

Click the `Load a session folder` button, and select a session folder that you would like to view the data from using the folder dialog 
(NOTE: As of right now, this viewer only works with pre-alpha labeled, post-processed data (it looks the `DataArrays` folder with a file 
called `mediaPipeSkel_3d_origin_aligned.npy` inside of it)

You can move the slider, and the 3D graph should show your skeleton

If you hit the `Load Videos` button on the side, select a folder of videos within your current session. When you move the slider, the videos
should load in and appear on the right hand side 





            

Raw data

            {
    "_id": null,
    "home_page": null,
    "name": "skelly-viewer",
    "maintainer": null,
    "docs_url": null,
    "requires_python": "<3.13,>=3.9",
    "maintainer_email": null,
    "keywords": "basic, template, python, repository",
    "author": null,
    "author_email": "Skelly FreeMoCap <info@freemocap.org>",
    "download_url": "https://files.pythonhosted.org/packages/0f/53/af9fabd80cc2ac9b7d16b5ab5834f1797f4fd8afd322d7ee676d6a918981/skelly_viewer-2024.12.1026.tar.gz",
    "platform": null,
    "description": "# Installation\n\nCreate a conda environment using Python 3.11 (recommended, untested on other versions) and activate your conda environment \n\nInstall skelly_viewer using `pip install skelly_viewer`\n\n# Usage\n\nAfter installing, in your conda terminal (with the right environment active), type `skelly_viewer'\n\nYou should see a GUI pop up with an empty graph, a slider, and two buttons\n\nClick the `Load a session folder` button, and select a session folder that you would like to view the data from using the folder dialog \n(NOTE: As of right now, this viewer only works with pre-alpha labeled, post-processed data (it looks the `DataArrays` folder with a file \ncalled `mediaPipeSkel_3d_origin_aligned.npy` inside of it)\n\nYou can move the slider, and the 3D graph should show your skeleton\n\nIf you hit the `Load Videos` button on the side, select a folder of videos within your current session. When you move the slider, the videos\nshould load in and appear on the right hand side \n\n\n\n\n",
    "bugtrack_url": null,
    "license": null,
    "summary": "View a skelly",
    "version": "2024.12.1026",
    "project_urls": null,
    "split_keywords": [
        "basic",
        " template",
        " python",
        " repository"
    ],
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "ee5293141e96fe33a69d8558c207672db360b58034d4ada074cdaa4648a523cf",
                "md5": "b3cbe549fb0af6f9012a61ce9220f24d",
                "sha256": "15097bb3833b1fc9ab881915ad4451009362fa47247fb5ac86f9eb3e7422e215"
            },
            "downloads": -1,
            "filename": "skelly_viewer-2024.12.1026-py3-none-any.whl",
            "has_sig": false,
            "md5_digest": "b3cbe549fb0af6f9012a61ce9220f24d",
            "packagetype": "bdist_wheel",
            "python_version": "py3",
            "requires_python": "<3.13,>=3.9",
            "size": 22816,
            "upload_time": "2024-12-17T17:57:11",
            "upload_time_iso_8601": "2024-12-17T17:57:11.089885Z",
            "url": "https://files.pythonhosted.org/packages/ee/52/93141e96fe33a69d8558c207672db360b58034d4ada074cdaa4648a523cf/skelly_viewer-2024.12.1026-py3-none-any.whl",
            "yanked": false,
            "yanked_reason": null
        },
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "0f53af9fabd80cc2ac9b7d16b5ab5834f1797f4fd8afd322d7ee676d6a918981",
                "md5": "cf0f5b86b6cb3f4aba717d6b16f1008f",
                "sha256": "83c82c84009ae88917d46ebecbc2aabd8dfdd2807a25d2c24fe4de3a59113971"
            },
            "downloads": -1,
            "filename": "skelly_viewer-2024.12.1026.tar.gz",
            "has_sig": false,
            "md5_digest": "cf0f5b86b6cb3f4aba717d6b16f1008f",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": "<3.13,>=3.9",
            "size": 17138,
            "upload_time": "2024-12-17T17:57:12",
            "upload_time_iso_8601": "2024-12-17T17:57:12.200611Z",
            "url": "https://files.pythonhosted.org/packages/0f/53/af9fabd80cc2ac9b7d16b5ab5834f1797f4fd8afd322d7ee676d6a918981/skelly_viewer-2024.12.1026.tar.gz",
            "yanked": false,
            "yanked_reason": null
        }
    ],
    "upload_time": "2024-12-17 17:57:12",
    "github": false,
    "gitlab": false,
    "bitbucket": false,
    "codeberg": false,
    "lcname": "skelly-viewer"
}
        
Elapsed time: 9.56063s