v0.3.1: Improved demo & reorganized package

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):

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