PIQA v1.1.3

🚸 Type assertions

Object-oriented components (PSNR, SSIM, ...) now use type assertions to raise meaningful error messages. See the "Assert" section in the README for more information.

♻️ Refactor

In this release, the API has been heavily redesigned and simplified.

• The "user-friendly" functionals to compute the metrics were dropped in favor of object-oriented metrics (5994e34)
• Importing piqa now directly gives access to the object-oriented metrics (5994e34)

v1.1.0	v1.1.3
>>> from piqa import ssim >>> criterion = ssim.SSIM() >>> criterion(x, y) tensor(...)	>>> import piqa >>> criterion = piqa.SSIM() >>> criterion(x, y) tensor(...)

• The piqa.utils module was divided in three sub-modules (5994e34)
  1. piqa.utils.functional regroups the convolution and kernel helpers
  2. piqa.utils.complex is an API to manipulate "factice" complex tensors
  3. piqa.utils.color handles the color-space conversions
• JITing is now an option which can be enabled/disabled (f467070)
• Custom normalization functionals (tensor_norm & normalize_tensor) were dropped in favor of torch.linalg.norm (f744007)