Resampled Nuclear Speckle U2OS Dataset#28
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Experiment ID:2 Run ID:5e9a052521da4320871db9625e09cf78 Run Name:agreeable-turtle-117 - ConvNeXtUNet Generator - Single 2D crop input and single 2D crop target - Cache-backed filtered nucleus crops generated from the configured data directory - L1 optimization objective with L2, PSNR, SSIM, and Pearson correlation metric logging - Normalization of input and target images using the max possible pixel intensity - Training on entire initial dataset - Sigmoid output activation function when computing metrics and loss and saving images
Generator Model Training Orchestration
reduced crop size from training orchestration
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I think this PR still has a lot of diffs already merged in #27 into a different branch. Consider cleaning up the PR so that diffs are exclusive to addition of resampling. |
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Superseded by #29 |
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This pr resamples the whole FOV u2os images before caching crops using the spatial resolutions from the u2os nuclear speckle dataset and the JUMP Pilot dataset.