Feature/retrain cnns - #30
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Summary of ChangesHello, I'm Gemini Code Assist1! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed! This pull request introduces support for ResNet50 and VGG16 models trained on 224x224 image patches. It includes the necessary configuration files for training, testing, and inference, as well as updated evaluation logic to accommodate these new models. The changes ensure that the pipeline can effectively handle and evaluate the performance of these models across various aggregation methods. Highlights
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This pull request introduces a comprehensive set of Hydra configuration files for training, testing, predicting, and evaluating 224x224 resolution ResNet50 and VGG16 models (both standard and stain-normalized variants). It also updates the non-inferiority evaluation notebook to incorporate these new models. The review feedback highlights configuration mismatches in the pred_column parameter for top-k aggregations in both the standard and stain-normalized ResNet50 224x224 configurations, which conflict with the evaluation configurations and the notebook.
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Adames4
approved these changes
Jul 21, 2026
vejtek
approved these changes
Jul 22, 2026
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This PR adds TL trained CNNs operating on 224x224 patches.