1. [New feature] Activation loader for all supported networks/layers. 2. [Bug fixes] Fixed the models whose outputs are not a tensor and are dictionary or named tuple (e.g., GoogLeNet, Inception-V3 and segmentation models). 3. [Bug fixe] Fixed minor bugs detected by unit tests.
0.0.3
1. Added odd-one-out paradigm (generic for any number of images). * Merging strategy concatenation or difference. 2. Added MaxVits and SwinTransformers 3. FeatureExtractor class. 4. Fixed the bug with mobilenet family.
0.0.2
1. Extracting features from the following pretrained models: * All classification and segmentation networks from [PyTorch's official website](https://pytorch.org/vision/stable/models.html). * All OpenAI [CLIP](https://github.com/openai/CLIP) language-vision models. * All [Taskonomy](http://taskonomy.stanford.edu/) networks. 2. Reading out the network's feature at any depth (layer). 3. Supporting both convolution and transformer architectures. 4. Adding a linear classifier on top of the frozen pretrained networks. 5. Generic shape appearance dataset to train linear classifiers. 6. Psychophysical paradigms: * Two-alternative-forced-choice (2AFC). * Staircase procedure.