Hello,
It would be useful to compute the likelihood of a single sample under a specified target distribution (LLID) and I believe this is a significant missing feature.
I create a pull request to add the implementation of a function to compute the likelihood between a sample under a target distribution.
Usage
The usage is very similar to when you compute the FID score between two Gaussian multivariate distribution.
To compute the LLID score between a sample and a dataset, where images of the sample and the target dateset are contained in an individual folder:
Hello, It would be useful to compute the likelihood of a single sample under a specified target distribution (LLID) and I believe this is a significant missing feature.
I create a pull request to add the implementation of a function to compute the likelihood between a sample under a target distribution.
Usage
The usage is very similar to when you compute the FID score between two Gaussian multivariate distribution. To compute the LLID score between a sample and a dataset, where images of the sample and the target dateset are contained in an individual folder:
python -m pytorch_llid path/to/target/dataset path/to/sample