Support for customized channel TIF input image
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- Dominant language
- Python
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Description
I am currently working on medical images, where one field of view could have more than 3 channels (up to 50+ channels). Current loader does not support customized channel input. If you give it a stacked TIF image, it use convert 'RGB' function to make it something else. If I change the loader and make it output the n-d array of the input image, it gives future error because it assumes PIL image format as input. Any solutions? Thanks.
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
No file or test is named. Start by tracing the current image loader's handling of stacked TIF input, including its RGB conversion and the downstream assumptions about PIL images; done means customized multi-channel input can pass through the loader and subsequent processing without being reduced to RGB or causing errors.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- computer-vision
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100