Tags give the ability to mark specific points in history as being important
  • v1.3.0
    Release v1.3.0
    • !19 Add Lwnet baselines results
    • !22 Add lwnet models to api.rst
    • !23 Fix hed error
    • !24 [doc] Add information about CLA and contributing
    • !25 Add drhagis Dataset
    • !26 Multiproc data loading
    • !27 Add config/data/test files for Montgomery County, JSRT, Shenzhen datasets
    • !28 [Device.type] Fix add gpu constant error
    • !30 Adds pre-commit support: This MR adds pre-commit support to this package, with checks for syntax, import usage and many more.
    • !31 [Rebase] rebase merged request: Got some troubles with DrhagisUpdates branch when trying to fix all the conflicts, this branch is for the same purpose.
    • !35 [conda] Remove bob-devel
    • !34 [pyproject.toml] Use relative_files option for coverage to avoid long names in...: [pyproject.toml] Use relative_files option for coverage to avoid long names in CI-generated coverage reports
    • !36 Try to set the configuration file for coverage: We further !34 by explicitly setting the coverage configuration file for the conda builds.
    • !37 Fixes reporting of % of GPU memory: This MR replaces the reporting of percentage of GPU memory used for the "current" used amount of memory (instead of time reading/writing to memory). This MR closes #7.
    • !39 Adding documentation about how to train a trained model for more epochs.
    • !40 CXR_Lung_Segmentation_baseline_results: Adding results documentation for CXR Lung Segmentation datasets. (Branch was rebased)
    • !42 [doc/results/baselines/lung] Add links to baseline models for lung segmentation
    • !41 [dataset.rst] Add note to dataset.rst specifying the change on the change...: [dataset.rst] Add note to dataset.rst specifying the change on the change between Refuge/Training400/AMD -> Database provided by AMD-grand-challenge
  • v1.2.0
    Release v1.2.0
    • !16 Use pytest instead of nose: This MR moves unit testing to pytest (instead of nose). It incidentally also enables py36 builds, now that pytorch is available for that Python version.
  • v1.1.1
    Release v1.1.1
    • !13 Cleanup model implementation: Cleans up model implementation to: * Re-use all backbones from torchvision * Simplify checkpointer * Remove own implementation of model_zoo * Implement normalization for torchvision-based backbones * Enable pytorch installation on osx
    • !14 Fix test after nomenclature change: [test.test_cli] Closes #2
    • !15 Support for multi-GPU machines, improved random seed settings and reproducibility
  • models-v1
    Release models-v1

    This tag correspond to the last version of this package to support models distributed with release 1.x of this package.

    Further releases of this package will not support those models.

  • v1.1.0
    Release v1.1.0
    • !9 Minor fixes: This MR includes the following features: 1. Makes it explicit the conversion to RGB images in image pre-processing pipelines 2. Adds a transform for converting between 16-bit and 8-bit PNG images 3. Allows the inferencer to work with globs instead of fixed paths (+ adaptations to this where needed) 4. Adds documentation for imagefolderinference 5. Adds explicit dependence to bob.core, required by the 16/8 bit PNG converters 6. Fixes an issue related to the conda recipe (see bob.devtools#44 and bob.devtools!127)
  • v1.0.1
    Release v1.0.1
    • Fixed issue with LICENSE file
  • v1.0.0
    Release v1.0.0
    • Initial public release