cytomining / cytomining/CytoDataFrame

Add capability to read images from valid S3 paths

Open
#34 2 comments 0 reactions 0 assignees View on GitHub
enhancement
Dominant language
Python
Stars
13
Forks
2
Avg merge
1d 16h
Merged PRs (30d)
3

Description

JUMP images are stored within S3. We could use object paths per record / object and dynamically read from S3. Work coincides with efforts found within https://github.com/WayScience/JUMP-single-cell/blob/main/0.download_data/2.download_images.ipynb

Contributor guide

Open the contributing guide

Research direction

Start with the linked JUMP-single-cell notebook, 0.download_data/2.download_images.ipynb, to understand the valid S3 object paths and per-record image usage. Then locate the corresponding image-loading entry point in CytoDataFrame; done means images can be read dynamically from those S3 paths.

Written by the indexing model from the issue text.

Assessment

Tech stack
aws, python
Domain
cloud, data
Issue type
Feature
Difficulty
3/5
Estimated time
1-2 days
Activity status
Quiet
Clarity
Mostly clear
Newbie friendliness
48/100

Get new issues in your inbox

A short digest of beginner-friendly GitHub issues.