Metadata-Version: 2.1
Name: fw-gear-img-to-dicom
Version: 0.1.0
Summary: Encapsulates multiple two-dimensional image formats (e.g. png, jpg, gif, bmp) in a dicom archive.
Home-page: https://gitlab.com/flywheel-io/scientific-solutions/gears/img-to-dicom
License: MIT
Keywords: Flywheel,Gears
Author: Flywheel
Author-email: support@flywheel.io
Requires-Python: >=3.10,<3.12
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Topic :: Scientific/Engineering
Requires-Dist: flywheel-gear-toolkit (>=0.6,<0.7)
Requires-Dist: fw-file (>=3,<4)
Requires-Dist: numpy (>=1.23.3,<2.0.0)
Requires-Dist: pathvalidate (>=2.5.2,<3.0.0)
Requires-Dist: pillow (>=10.0.0,<11.0.0)
Requires-Dist: pydicom (>=2.3.0,<3.0.0)
Project-URL: Repository, https://gitlab.com/flywheel-io/scientific-solutions/gears/img-to-dicom
Description-Content-Type: text/markdown

# Image to DICOM

Encapsulates multiple two-dimensional image formats (e.g. png, jpg, gif, bmp)
in a dicom archive.

## Website

<https://gitlab.com/flywheel-io/scientific-solutions/gears/img-to-dicom>

## Installation

## Usage

The Image to DICOM gear is executed by ensuring the following required inputs and
configuration parameters are provided. Additional optional inputs are indicated below.

### Inputs

* *image*
  * **Type**: `image`
  * **Optional**: `false`
  * **Description**: Image to wrap in dicom format.
  * **Notes**: Input image file can be of type png or jpeg.

### Config

* *debug*
  * **Type**: `boolean`
  * **Optional**: `true`
  * **Default**: `false`
  * **Description**: Log debug messages.  Default level is `INFO`.

### Cite

**

*License:* MIT

## Contributing

For more information about how to get started contributing to that gear,
checkout [CONTRIBUTING.md](CONTRIBUTING.md).

