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Collection of new use-cases and bug-fixes #93

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@haesleinhuepf haesleinhuepf commented Aug 12, 2024

This PR contains:

  • a new test-case for the benchmark
    • I hereby confirm that NO LLM-based technology (such as github copilot) was used while writing this benchmark
  • new dependencies in requirements.txt
    • The environment.yml file was updated using the command conda env export > environment.yml
  • new generator-functions allowing to sample from other LLMs
  • new samples (sample_....jsonl files)
  • new benchmarking results (..._results.jsonl files)
  • documentation update
  • bug fixes

Related github issue (if relevant): closes #0

Short description:

  • This is a collection of a couple of pull-requests. I kept them in a separate branch until we rerun the entire benchmark.

How do you think will this influence the benchmark results?

  • New test-cases will definitely change the results.

Why do you think it makes sense to merge this PR?

  • With this PR, the project is becoming an actual community project.

Before merging this, we need to addd the contributors to the author list:

Big thanks everyone!

marabuuu and others added 30 commits July 8, 2024 12:56
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`
haesleinhuepf and others added 30 commits September 13, 2024 10:43
Adjust mean_std_column to accept both pandas and numpy stdev
New Test-Case - Metadata Reading plus some basics image processing
[Fixing Test Cases] Allow 0 in label image test cases
[Fixing-Test-Cases] Image Dimensions reading
Prompt refinement (discussion about if this should be merged or not)
Fixing test-cases related to Numpy I/O
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10 participants