Closed metazool closed 2 months ago
current status: β
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Lines Covered Coverage Threshold Status 115 101 88% 0% π’ New Files
File Coverage Status cyto_ml/data/s3.py 0% π’ cyto_ml/tests/test_image_embeddings.py 100% π’ cyto_ml/tests/test_intake_utils.py 100% π’ cyto_ml/tests/test_vector_store.py 100% π’ TOTAL 75% π’ Modified Files
File Coverage Status cyto_ml/data/intake.py 67% π’ cyto_ml/data/vectorstore.py 81% π’ cyto_ml/models/scivision.py 96% π’ TOTAL 81% π’ updated for commit:
c278b48
by actionπ
Switched this to draft as I have a small set of changes testing fallback approaches which didn't look right to me either!
I've switched this back out of draft status and added a few final touches with non-plankton images and a generic ImageNet set of weights. The outcome's still really open, but there are higher priority things to work on - the fact that I can't easily connect this line of work to anything active on the RSE group discussions forum is a helpful indicator of that!
See also #6
Abandoning this, the outcome wasn't very illuminating, can easily be reconstructed, and the underlying changes (dropping scivision, shifting the project layout) would make reconstruction less effort than merging
Considered leaving this on a branch as the results were so inconclusive, but there's some useful utils and improved test coverage in here as well that seem worth a merge - would appreciate eyes on it.
What's in here
scivision
model either with or without its final layer (the classification one)The visualisations don't look very meaningful to me, wrote a bit about probable reasons why, and what's worth doing next, in #6
To test
export PYTHONPATH=.; py.test
Run all
- it needs the location of the s3 object store set in.env
- see also the README