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v1.8
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Shift of beta notebooks as main release
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Romain-Laine committed Aug 5, 2020
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Expand Up @@ -6,6 +6,29 @@ https://www.biorxiv.org/content/10.1101/2020.03.20.000133v1
Latest releases available here:
https://github.com/HenriquesLab/ZeroCostDL4Mic/releases


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ZeroCostDL4Mic v1.8

Major changes:

- Beta Notebooks have now been move to main notebooks
- The StarDist 2D Fiji notebook is now obselete as the model export works in the main notebook.

Main notebooks:
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- StarDist 2D, StarDist 3D, CARE 2D and CARE 3D notebooks now uses TensorFlow 2.2 (instead of TF 1.5.15)
- YOLOv2 notebook: QC section now uses the same mAP function as the training, for better consistency of results; ground-truth labels and predicted labels in the QC section are exported to the QC folder as csv files which holde the bounding box coordinates and class labels; Display of prediction results now more consistent with display of GT labels; Updated Augmentation Section, now between 2-8 times augmentation of dataset possible; Additional csv file with predicted bounding box coordinates in a format suitable for use in imageJ as Results Table is now exported to the user's results folder in the Prediction section; Added 'training_times' as hyperparameter for improved tuning of model training; Tracking of mAP during training implemented; After training, model with best validation performance, best mAP score and the last model weights are saved to allow easier performance comparison by the user; Updated explanation of parameters and QC section.

- 3D U-Net:
1. Added ability to train network on non-binary targets
2. Added ability to choose loss, metrics and optimizer
3. Fixed data generator bug leading to erroneous generator length when choosing random_crop

+ minor modifications and bug fixes


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ZeroCostDL4Mic v1.7

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