| Name | medimm JSON |
| Version |
0.0.8
JSON |
| download |
| home_page | None |
| Summary | PyTorch Medical 3D Image Models |
| upload_time | 2024-11-16 10:39:38 |
| maintainer | None |
| docs_url | None |
| author | None |
| requires_python | >=3.10 |
| license | MIT License Copyright (c) 2024 Mikhail Goncharov Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. |
| keywords |
medical computer vision
deep learning
pytorch
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
# medimm
PyTorch Medical 3D Image Models
## Installation
Make sure that you have installed [torch](https://pytorch.org/) compatible with your CUDA version.
Then install via pip
```
pip install medimm
```
Raw data
{
"_id": null,
"home_page": null,
"name": "medimm",
"maintainer": null,
"docs_url": null,
"requires_python": ">=3.10",
"maintainer_email": null,
"keywords": "medical computer vision, deep learning, pytorch",
"author": null,
"author_email": "\"List of contributors: https://github.com/mishgon/medimm/graphs/contributors\" <Mikhail.Goncharov2@skoltech.ru>",
"download_url": "https://files.pythonhosted.org/packages/2e/38/953951547e27418c6862ab6626ba14ff23006c05743973529bbe29342da4/medimm-0.0.8.tar.gz",
"platform": null,
"description": "# medimm\nPyTorch Medical 3D Image Models\n\n## Installation\nMake sure that you have installed [torch](https://pytorch.org/) compatible with your CUDA version.\n\nThen install via pip\n```\npip install medimm\n```\n",
"bugtrack_url": null,
"license": "MIT License Copyright (c) 2024 Mikhail Goncharov Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the \"Software\"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. ",
"summary": "PyTorch Medical 3D Image Models",
"version": "0.0.8",
"project_urls": {
"Homepage": "https://github.com/mishgon/medimm",
"Issues": "https://github.com/mishgon/medimm/issues"
},
"split_keywords": [
"medical computer vision",
" deep learning",
" pytorch"
],
"urls": [
{
"comment_text": "",
"digests": {
"blake2b_256": "890b12570ed73e91fecd79f41c55ca9741cf3d190b80672b8e3b8b4252d3bbb8",
"md5": "c5f2b81c75ac9d090d20c76a3ceb9618",
"sha256": "f77fa01d3b32dc4b94a44df465338a6087ce6473d3bf8ae3f361a1ee4cf6371e"
},
"downloads": -1,
"filename": "medimm-0.0.8-py3-none-any.whl",
"has_sig": false,
"md5_digest": "c5f2b81c75ac9d090d20c76a3ceb9618",
"packagetype": "bdist_wheel",
"python_version": "py3",
"requires_python": ">=3.10",
"size": 3066,
"upload_time": "2024-11-16T10:39:36",
"upload_time_iso_8601": "2024-11-16T10:39:36.515733Z",
"url": "https://files.pythonhosted.org/packages/89/0b/12570ed73e91fecd79f41c55ca9741cf3d190b80672b8e3b8b4252d3bbb8/medimm-0.0.8-py3-none-any.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "2e38953951547e27418c6862ab6626ba14ff23006c05743973529bbe29342da4",
"md5": "f1ea8b9ea2f9ce248adca7fbdc61326d",
"sha256": "7ddc6d01723932dd0eca17a49d088339bced9b90173b97007b6df9927ab0b03e"
},
"downloads": -1,
"filename": "medimm-0.0.8.tar.gz",
"has_sig": false,
"md5_digest": "f1ea8b9ea2f9ce248adca7fbdc61326d",
"packagetype": "sdist",
"python_version": "source",
"requires_python": ">=3.10",
"size": 2565,
"upload_time": "2024-11-16T10:39:38",
"upload_time_iso_8601": "2024-11-16T10:39:38.072514Z",
"url": "https://files.pythonhosted.org/packages/2e/38/953951547e27418c6862ab6626ba14ff23006c05743973529bbe29342da4/medimm-0.0.8.tar.gz",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2024-11-16 10:39:38",
"github": true,
"gitlab": false,
"bitbucket": false,
"codeberg": false,
"github_user": "mishgon",
"github_project": "medimm",
"travis_ci": false,
"coveralls": false,
"github_actions": false,
"requirements": [],
"lcname": "medimm"
}
