Open metazool opened 1 month ago
current status: β
Overall Coverage
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
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