Name | omnineuro JSON |
Version |
2023.2.1
JSON |
| download |
home_page | |
Summary | omni is a Python/C++17 library for image preprocessing in neuroimaging |
upload_time | 2023-02-02 04:13:55 |
maintainer | |
docs_url | None |
author | |
requires_python | >=3.7 |
license | BSD 3-Clause Clear License |
keywords |
neuroimaging
|
VCS |
|
bugtrack_url |
|
requirements |
No requirements were recorded.
|
Travis-CI |
No Travis.
|
coveralls test coverage |
No coveralls.
|
# omni
`omni` is a Python/C++17 library for image preprocessing in neuroimaging and
other related things. It provides some useful and convenient APIs for developing
neuroimaging tools. These are used to develop implementations of software tools
I (and others) are currently developing.
Current software tools list:
- ### [Synth](#synth-1)
### Note
If any of the `omni` utilities significantly assist with your research, please cite:
```
Montez, D. F., Van, A. N., Miller, R. L., Seider, N. A., Marek, S., Zheng, A., et al. (2021).
Using synthetic MR images for field map-less distortion correction.
bioRxiv, 2021.03.13.435270. http://doi.org/10.1101/2021.03.13.435270
```
## Documentation
See [Documentation](https://omnineuro.readthedocs.io/en/latest/?badge=latest).
## Requirements and Installation
See [Installation](https://omnineuro.readthedocs.io/en/latest/installation.html).
### Synth
See [Synth Documentation](https://omnineuro.readthedocs.io/en/latest/synth/index.html) for more information.
Raw data
{
"_id": null,
"home_page": "",
"name": "omnineuro",
"maintainer": "",
"docs_url": null,
"requires_python": ">=3.7",
"maintainer_email": "",
"keywords": "neuroimaging",
"author": "",
"author_email": "Andrew Van <vanandrew@wustl.edu>",
"download_url": "https://files.pythonhosted.org/packages/1e/15/c7a2ff5d5800bb9c66d2c77b467647e9039eaa2943f5d89b40bcbbe2873e/omnineuro-2023.2.1.tar.gz",
"platform": null,
"description": "# omni\n\n`omni` is a Python/C++17 library for image preprocessing in neuroimaging and\nother related things. It provides some useful and convenient APIs for developing \nneuroimaging tools. These are used to develop implementations of software tools\nI (and others) are currently developing.\n\nCurrent software tools list:\n\n- ### [Synth](#synth-1)\n\n### Note\n\nIf any of the `omni` utilities significantly assist with your research, please cite:\n```\nMontez, D. F., Van, A. N., Miller, R. L., Seider, N. A., Marek, S., Zheng, A., et al. (2021).\nUsing synthetic MR images for field map-less distortion correction.\nbioRxiv, 2021.03.13.435270. http://doi.org/10.1101/2021.03.13.435270\n```\n\n## Documentation\n\nSee [Documentation](https://omnineuro.readthedocs.io/en/latest/?badge=latest).\n\n## Requirements and Installation\n\nSee [Installation](https://omnineuro.readthedocs.io/en/latest/installation.html).\n\n### Synth\n\nSee [Synth Documentation](https://omnineuro.readthedocs.io/en/latest/synth/index.html) for more information.\n",
"bugtrack_url": null,
"license": "BSD 3-Clause Clear License",
"summary": "omni is a Python/C++17 library for image preprocessing in neuroimaging",
"version": "2023.2.1",
"split_keywords": [
"neuroimaging"
],
"urls": [
{
"comment_text": "",
"digests": {
"blake2b_256": "db77b463773e93614909e6cebc34b663573a1613ce9b3538b109989f0cdb491a",
"md5": "e2b34b009475f26636b9de7a73605a65",
"sha256": "470684eef0d3296065a5c68e7bcf72558ecace5ac7dcc87392304ea843b51b90"
},
"downloads": -1,
"filename": "omnineuro-2023.2.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl",
"has_sig": false,
"md5_digest": "e2b34b009475f26636b9de7a73605a65",
"packagetype": "bdist_wheel",
"python_version": "cp310",
"requires_python": ">=3.7",
"size": 62409914,
"upload_time": "2023-02-02T04:13:35",
"upload_time_iso_8601": "2023-02-02T04:13:35.063643Z",
"url": "https://files.pythonhosted.org/packages/db/77/b463773e93614909e6cebc34b663573a1613ce9b3538b109989f0cdb491a/omnineuro-2023.2.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "cc273b14beadc9bb4c28fa217e18d481adaf62e2d5a2fcb094b42a44bd39efc6",
"md5": "9b6caf6bb133ecbd06d37ecd18478352",
"sha256": "962c521476d823ebda256c47157f3cfd8715d7f36b96ef2753ce06094a235143"
},
"downloads": -1,
"filename": "omnineuro-2023.2.1-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl",
"has_sig": false,
"md5_digest": "9b6caf6bb133ecbd06d37ecd18478352",
"packagetype": "bdist_wheel",
"python_version": "cp37",
"requires_python": ">=3.7",
"size": 62412618,
"upload_time": "2023-02-02T04:13:40",
"upload_time_iso_8601": "2023-02-02T04:13:40.692444Z",
"url": "https://files.pythonhosted.org/packages/cc/27/3b14beadc9bb4c28fa217e18d481adaf62e2d5a2fcb094b42a44bd39efc6/omnineuro-2023.2.1-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "e91f7242dbaa16d0c8085d663325507bb44be5c7ab1717ed0f071c15b3ed5e2c",
"md5": "21fa56c63b55ddf15a8c0fe597496cdc",
"sha256": "f2a9ce71426bf2c2ee4090a9a7ab510fa9d9ccdfee0a4114ea8c8aff024040df"
},
"downloads": -1,
"filename": "omnineuro-2023.2.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl",
"has_sig": false,
"md5_digest": "21fa56c63b55ddf15a8c0fe597496cdc",
"packagetype": "bdist_wheel",
"python_version": "cp38",
"requires_python": ">=3.7",
"size": 62409848,
"upload_time": "2023-02-02T04:13:45",
"upload_time_iso_8601": "2023-02-02T04:13:45.820136Z",
"url": "https://files.pythonhosted.org/packages/e9/1f/7242dbaa16d0c8085d663325507bb44be5c7ab1717ed0f071c15b3ed5e2c/omnineuro-2023.2.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "2239f69ad2e5323af6f5f81a6770e60d61685e7423b0d3f22ed9f97e30af3503",
"md5": "8b617d961c7246f12243343e8db06476",
"sha256": "cedc963d725cdc8729fdf6b70dad395dc84059d945810ce419086ff208cd0598"
},
"downloads": -1,
"filename": "omnineuro-2023.2.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl",
"has_sig": false,
"md5_digest": "8b617d961c7246f12243343e8db06476",
"packagetype": "bdist_wheel",
"python_version": "cp39",
"requires_python": ">=3.7",
"size": 62410339,
"upload_time": "2023-02-02T04:13:50",
"upload_time_iso_8601": "2023-02-02T04:13:50.871697Z",
"url": "https://files.pythonhosted.org/packages/22/39/f69ad2e5323af6f5f81a6770e60d61685e7423b0d3f22ed9f97e30af3503/omnineuro-2023.2.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "1e15c7a2ff5d5800bb9c66d2c77b467647e9039eaa2943f5d89b40bcbbe2873e",
"md5": "a837584685f2622bc9f4ae881fae1879",
"sha256": "73c7faf4d4bd965317dbecb23ee7828ac044c2717e732881f5db76a3f1e9a871"
},
"downloads": -1,
"filename": "omnineuro-2023.2.1.tar.gz",
"has_sig": false,
"md5_digest": "a837584685f2622bc9f4ae881fae1879",
"packagetype": "sdist",
"python_version": "source",
"requires_python": ">=3.7",
"size": 48813458,
"upload_time": "2023-02-02T04:13:55",
"upload_time_iso_8601": "2023-02-02T04:13:55.947586Z",
"url": "https://files.pythonhosted.org/packages/1e/15/c7a2ff5d5800bb9c66d2c77b467647e9039eaa2943f5d89b40bcbbe2873e/omnineuro-2023.2.1.tar.gz",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2023-02-02 04:13:55",
"github": false,
"gitlab": false,
"bitbucket": false,
"lcname": "omnineuro"
}