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Improving visualization of predictions on tensorboard with appropriate intensity scale #15
Improving the visualization of predictions logged on Tensorboard by setting appropriate intensity scale. Currently the intensity scaling of the predicted images shows artifacts from other structures of cells not involved in the fluorescence expression. The scaling enhances them and produces false signals for visualization. Setting similar intensity scale for all windows of prediction can reduce the effect due to artifact. @ziw-liu , can you help implement this? Thank you!
Activity
Lower PHATE subsample to 20k in reduce_combined recipe
feat(dynacell): unblock joint training + add A549 cross-eval (#415)
Dyanacell models and dynadtw (#432)
refactor(dynacell/eval): unify pixel metrics and improve performance (#…