Releases: computational-cell-analytics/micro-sam
Releases · computational-cell-analytics/micro-sam
v1.7.6 🌈
v1.7.5 🌈
Changes
- Dev @constantinpape (#1175)
v1.7.4 🌈
Changes
- Dev @constantinpape (#1173)
v1.7.3 🌈
Changes
- Make activation in UNETR flexble @constantinpape (#1172)
v1.7.2 🌈
Changes
- Bump version @constantinpape (#1171)
- Extended masking support @constantinpape (#1170)
- Add exclusive argument for loading separate decoder paths @anwai98 (#1166)
- Add new FAQ for pytorch errors on older hardware @anwai98 (#1167)
- Merge dev to master @anwai98 (#1162)
- Update RELEASE_OVERVIEW.md @anwai98 (#1159)
- Minor typo fixes @anwai98 (#1158)
🐛 Bug Fixes
v1.7.1 🌈
Changes
- Bump version @anwai98 (#1157)
- Add script for statistical analysis WIP @constantinpape (#1155)
- Update return values for trackastra model inference @anwai98 (#1156)
- Minor bug fix to return outputs for APG @anwai98 (#1154)
- Add APG outputs for automatic segmentation example notebook @anwai98 (#1148)
- Merge dev to master @anwai98 (#1146)
- Minor typo fix in doc @anwai98 (#1144)
- Add APG to documentation @anwai98 (#1143)
- Update RELEASE_OVERVIEW.md @anwai98 (#1138)
🐛 Bug Fixes
- Added is_seg_dataset parameter in training.training.default_sam_dataset() @Sagnik700 (#1147)
v1.7.0 🌈
This release contains several improvements to automatic instance segmentation and other features. As part of these improvements micro_sam.instance_segmentation.get_amg was renamed to micro_sam.instance_segmentation.get_instance_segmentation_generator.
Changes
- Release 1.7 @constantinpape (#1134)
- Add support for training from in-memory data @constantinpape (#1135)
- Automatic prompt generator @constantinpape (#1122)
- Update image preprocessing @constantinpape (#1133)
- Masked segmentation @constantinpape (#1131)
- Refactor APG interface and instance segmentation tests @constantinpape (#1127)
- Remove additional batch size checks in training @anwai98 (#1129)
- Fix training/validation metrics scaling and validation loss aggregation @YonghaoZhao722 (#1126)
- Add support for loading initial segmentation results to series annotator @constantinpape (#1125)
- Use stability score in nms @constantinpape (#1123)
- add sam_model as attribute for torch.nn.Module magic to work @FynnBe (#1111)
- Minor fix to 3d encoder wrapper for expected model type configuration @anwai98 (#1110)
- Update RELEASE_OVERVIEW.md @anwai98 (#1109)
v1.6.2 🌈
v1.6.1 🌈
Changes
- Bump version to 1.6.1 @constantinpape (#1097)
- Merge dev to master @anwai98 (#1091)
- Minor fix to additional arguments for training instance segmentation @anwai98 (#1096)
- Add is_multi_tensor argument to default_sam_dataset to split kwargs in loader @lufre1 (#1092)
- Update default_sam_dataset to allow parsing expected parameters @lufre1 (#1090)
- Add support scripts for training custom model @anwai98 (#1086)
- Add script for counting total images and annotated objects @anwai98 (#1082)
- Add trackastra as dependency @constantinpape (#1081)
- Update grid search functionality for more flexibility @constantinpape (#1079)
- Add new BAND site @anwai98 (#1080)
- Minor linting fixes @anwai98 (#1078)
- More doc updates @anwai98 (#1068)
- Update RELEASE_OVERVIEW.md @anwai98 (#1067)
v1.6.0 🌈
With this version we publish improved versions of the light microscopy and electron microscopy models.
Changes
- Bump version @constantinpape (#1066)
- Update embedding visualization and add support for ROIs in SAM datasets @constantinpape (#1065)
- Prepare new release @constantinpape (#1064)
- Allow support for custom label transforms in default_sam_dataset @lufre1 (#1063)
- Start preparing release for new models @anwai98 (#1061)
- Update documentation for BAND @anwai98 (#1060)
- Minor updates to EM evaluation benchmarking scripts @anwai98 (#1059)
- More zarr v3 fixes @constantinpape (#1057)
- Update RELEASE_OVERVIEW.md @anwai98 (#1055)
- Update generalist training scripts @anwai98 (#1052)
- Update environment.yaml @anwai98 (#1050)