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v0.3.1: Improved demo & reorganized package
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@frgfm frgfm released this 31 Oct 17:55
v0.3.1
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Learn about vigilant mode.

This patch release adds new features to the demo and reorganizes the package for a clearer hierarchy.

Note: TorchCAM 0.3.1 requires PyTorch 1.5.1 or higher.

Highlights

CAM fusion is coming to the demo 🚀

With release 0.3.0, the support of multiple target layers was added as well as CAM fusion. The demo was updated to automatically fuse CAMs when you hooked multiple layers (add a "+" separator between each layer name):

demo

Breaking changes

Submodule renaming

To anticipate further developments of the library, modules were renamed:

  • torchcam.cams was renamed into torchcam.methods
  • torchcam.cams.utils was renamed and made private (torchcam.methods._utils) since it's API may evolve quickly
  • activation-based CAM methods are now implemented in torchcam.methods.activation rather than torchcam.cams.cam
  • gradient-based CAM methods are now implemented in torchcam.methods.gradient rather than torchcam.cams.gradcam
0.3.0 0.3.1
>>> from torchcam.cams import LayerCAM >>> from torchcam.methods import LayerCAM

What's Changed

  • chore: Made post release modifications by @frgfm in #103
  • docs: Updated changelog by @frgfm in #104
  • feat: Added possibility to retrieve multiple CAMs in demo by @frgfm in #105
  • refactor: Reorganized package hierarchy by @frgfm in #106
  • docs: Fixed LaTeX syntax in docstrings by @frgfm in #107

Full Changelog: v0.3.0...v0.3.1

Contributors

frgfm
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