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Releases: matjesg/deepflash2

v0.2.4

12 Jun 13:37
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Bump version to 0.2.4

v0.2.3

02 Jun 06:33
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Update settings.ini (#50)

v0.2.2

16 Feb 06:46
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Set tifffile==2022.4.8

v0.2.1

16 Jul 06:24
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-- Bug fixes
-- Adding Code-based Tutorial (https://matjesg.github.io/deepflash2/tutorial_monuseg.html)

v0.2.0

26 Jun 14:18
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New Features

  • new features (#42), thanks to @matjesg

    • Multiclass GT Estimation, closes #34
    • Torchscript ensemble class for inference / tta adjusted
    • ONNX export possible
  • Major changes

    • Different classes for training (EnsembleLearner) and Inference (EnsemblePredictor)
    • Normalization based on uin8 images (0...255)
  • Instance segmentation metrics (#32), thanks to @matjesg

    • Instance segmentation metrics for GT estimation and prediction

Trained models for deepflash2 paper

13 Jun 06:58
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Pre-release
model_library

nbdev update

v0.1.8

03 Jan 10:03
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  • Dependency fix (opencv-python-headless>=4.1.1,<4.5.5)
  • Minor improvements and fixes

v0.1.7

05 Dec 23:50
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  • Fixes bug when predicting on new data.

Source data for the deepflash2 paper

05 Dec 21:02
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Pre-release
paper_source_data

readme and error handling

v0.1.6

03 Dec 09:01
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  • Removing git dependency for cellpose installation.