Fix_function_category #155
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…ofile Linear intensity profile
…xplicit on image data
Add 3 new test cases (`identify_centroids`, `find_closest_neighbors`, `load_bgr_tif_and_output_rgb`)
Add `local_maxima_from_distance_transform`, `flow_field_deformation`, and `detect_ellipse` test cases
Added two new test cases: `fit_gaussian_to_spot` and `distance_between_maxima`
New Test-Case - Metadata Reading plus some basics image processing
Categorise test cases
[Fixing Test Cases] Allow 0 in label image test cases
[Fixing-Test-Cases] Image Dimensions reading
…ment Prompt refinement (discussion about if this should be merged or not)
Fixing test-cases related to Numpy I/O
…b.com/haesleinhuepf/human-eval-bia into development-collecting-new-test-cases
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Apologies about all the commits, I used the development test case branch |
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This PR contains:
conda env export > environment.ymlsample_....jsonlfiles)..._results.jsonlfiles)Related github issue (if relevant): closes #149
Short description:
The names of the categories were not sorted in same way as mean pass rate. Simplified the code.
How do you think will this influence the benchmark results?
Why do you think it makes sense to merge this PR?