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Pipeline to compare semantic segmentation model output against manual cell counts. We compute Precision, Recall and F-Score

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axondeepseg/eval-object-det

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eval-object-det

Phase 1: Postprocess the semantic segmentations to obtain filtered instance segmentations schematics

Phase 2: Evaluate instance seg against manual count for every image

Setup the environment

You know the drill: setup a venv to isolate your environment (using conda, pyenv, ...). For example:

conda create python==3.12.9 -n eval-obj-det
conda activate eval-obj-det
conda env update --file environment.yaml

This should install AxonDeepSeg so we can use its utilities to postprocess the semantic segmentations.

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Pipeline to compare semantic segmentation model output against manual cell counts. We compute Precision, Recall and F-Score

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