Added * UniversalReader for loading data like PIL images, numpy arrays, torch tensors, bytes, urls, and file paths
Changed * Enable conda virtual environment by default in Docker images * FaceAnalyzer run method to accept various input types via image_source parameter
0.4.2
Added * Tensor input support for FaceAnalyzer run method * TensorReader for transforming incoming torch tensors
0.4.1
Changed * postprocessor for label confidence pairs to have no offset by default * Resize transform configs to enable antialiasing by default * notebook to version 0.4.0 or higher * notebook to include Action Unit and Valence Arousal predictors
0.4.0
Added * predictor for facial valence arousal - ELIM AL from Kim et al. * predictor postprocessor for creating label confidence pairs
Changed * FaceAnalyzer can run without any predictors or utilizers
0.3.1
Added * link to ChatGPT guide that has knowledge about facetorch
Fixed * stuck AU predictor inference in the notebook by specifying torch version to install
0.3.0
Added * predictor for facial action unit detection - OpenGraphAU from Luo et al.
Changed * facetorch version retrieval error handling to not fail the run