Metadata-Version: 2.4
Name: fw-gear-img-to-dicom
Version: 0.1.3
Summary: Encapsulates multiple two-dimensional image formats (e.g. png, jpg, gif, bmp) in a dicom archive.
Project-URL: Repository, https://gitlab.com/flywheel-io/scientific-solutions/gears/img-to-dicom
Author-email: Flywheel <support@flywheel.io>
License-Expression: MIT
License-File: LICENSE
Keywords: Flywheel,Gears
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.13
Classifier: Topic :: Scientific/Engineering
Requires-Python: <3.14,>=3.13
Requires-Dist: flywheel-sdk<23,>=22
Requires-Dist: fw-file<5,>=3
Requires-Dist: fw-gear<0.4,>=0.3.7
Requires-Dist: numpy<3,>=2
Requires-Dist: pathvalidate<4,>=2.5.2
Requires-Dist: pillow<13,>=12.2.0
Requires-Dist: pydicom<4,>=3.0.1
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).
