otxseg

Name	otxseg JSON
Version	0.3.1 JSON
	download
home_page	http://github.com/openvinotoolkit/mmsegmentation
Summary	Temporary OTX fork of MMSegmenation Semantic Segmentation Toolbox and Benchmark
upload_time	2022-12-09 05:54:13
maintainer
docs_url	None
author	OpenMMLab, Intel
requires_python
license	Apache License 2.0
keywords	computer vision semantic segmentation
VCS
bugtrack_url
requirements	No requirements were recorded.
Travis-CI	No Travis.
coveralls test coverage	No coveralls.

            # MMSegmentation

![](https://img.shields.io/badge/python-3.6%2B-green)
![](https://img.shields.io/badge/pytorch-1.7.1%2B-orange)
![](https://img.shields.io/badge/openvino-2021.4-blue)
![](https://img.shields.io/badge/onnxruntime-1.1.2%2B-yellow)


This is a Semantic Segmentation toolbox, that is a part of [OpenVINO™ Training Extensions](https://github.com/opencv/openvino_training_extensions).

Project is based on open-mmlab's [MMSegmentation](https://github.com/open-mmlab/mmdsegmentation).

## Installation

Please refer to [install.md](docs/install.md) for installation and dataset preparation.

## Get Started

Please see [getting_started.md](docs/getting_started.md) for the basic usage. There are also tutorials for [finetuning models](docs/tutorials/finetune.md), [adding new dataset](docs/tutorials/new_dataset.md), [designing data pipeline](docs/tutorials/data_pipeline.md), and [adding new modules](docs/tutorials/new_modules.md).

## Models compression

This project allows making compression of the models by [NNCF](https://github.com/openvinotoolkit/nncf_pytorch) framework.

See details in [nncf_compression.md](docs/nncf_compression.md).

## Model Zoo

Please see [model_zoo.md](docs/model_zoo.md) for the list of pre-trained models.

## Contributing

We appreciate all contributions to improve this project. Please refer to [CONTRIBUTING.md](.github/CONTRIBUTING.md) for the contributing guideline.

## Contact

This repo is currently maintained by Songki Choi ([@goodsong81](https://github.com/goodsong81).

            

Raw data

            {
    "_id": null,
    "home_page": "http://github.com/openvinotoolkit/mmsegmentation",
    "name": "otxseg",
    "maintainer": "",
    "docs_url": null,
    "requires_python": "",
    "maintainer_email": "",
    "keywords": "computer vision,semantic segmentation",
    "author": "OpenMMLab, Intel",
    "author_email": "songki.choi@intel.com",
    "download_url": "https://files.pythonhosted.org/packages/9c/45/c6367ed6a1116ab0422014285dedc019d28cb49dba17d3fa65dddaaaf381/otxseg-0.3.1.tar.gz",
    "platform": null,
    "description": "# MMSegmentation\n\n![](https://img.shields.io/badge/python-3.6%2B-green)\n![](https://img.shields.io/badge/pytorch-1.7.1%2B-orange)\n![](https://img.shields.io/badge/openvino-2021.4-blue)\n![](https://img.shields.io/badge/onnxruntime-1.1.2%2B-yellow)\n\n\nThis is a Semantic Segmentation toolbox, that is a part of [OpenVINO\u2122 Training Extensions](https://github.com/opencv/openvino_training_extensions).\n\nProject is based on open-mmlab's [MMSegmentation](https://github.com/open-mmlab/mmdsegmentation).\n\n## Installation\n\nPlease refer to [install.md](docs/install.md) for installation and dataset preparation.\n\n## Get Started\n\nPlease see [getting_started.md](docs/getting_started.md) for the basic usage. There are also tutorials for [finetuning models](docs/tutorials/finetune.md), [adding new dataset](docs/tutorials/new_dataset.md), [designing data pipeline](docs/tutorials/data_pipeline.md), and [adding new modules](docs/tutorials/new_modules.md).\n\n## Models compression\n\nThis project allows making compression of the models by [NNCF](https://github.com/openvinotoolkit/nncf_pytorch) framework.\n\nSee details in [nncf_compression.md](docs/nncf_compression.md).\n\n## Model Zoo\n\nPlease see [model_zoo.md](docs/model_zoo.md) for the list of pre-trained models.\n\n## Contributing\n\nWe appreciate all contributions to improve this project. Please refer to [CONTRIBUTING.md](.github/CONTRIBUTING.md) for the contributing guideline.\n\n## Contact\n\nThis repo is currently maintained by Songki Choi ([@goodsong81](https://github.com/goodsong81).\n",
    "bugtrack_url": null,
    "license": "Apache License 2.0",
    "summary": "Temporary OTX fork of MMSegmenation Semantic Segmentation Toolbox and Benchmark",
    "version": "0.3.1",
    "split_keywords": [
        "computer vision",
        "semantic segmentation"
    ],
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "md5": "f4e460cd7a6ff5f1508a6284f504817d",
                "sha256": "6063a1175e902c6fe99b0b95ae8789a3fab018b92b8cd306f50c024f6c7b3067"
            },
            "downloads": -1,
            "filename": "otxseg-0.3.1.tar.gz",
            "has_sig": false,
            "md5_digest": "f4e460cd7a6ff5f1508a6284f504817d",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": null,
            "size": 194078,
            "upload_time": "2022-12-09T05:54:13",
            "upload_time_iso_8601": "2022-12-09T05:54:13.543779Z",
            "url": "https://files.pythonhosted.org/packages/9c/45/c6367ed6a1116ab0422014285dedc019d28cb49dba17d3fa65dddaaaf381/otxseg-0.3.1.tar.gz",
            "yanked": false,
            "yanked_reason": null
        }
    ],
    "upload_time": "2022-12-09 05:54:13",
    "github": true,
    "gitlab": false,
    "bitbucket": false,
    "github_user": "openvinotoolkit",
    "github_project": "mmsegmentation",
    "travis_ci": false,
    "coveralls": false,
    "github_actions": true,
    "requirements": [],
    "lcname": "otxseg"
}