v0.0.2

1. Extracting features from the following pretrained models:
   • All classification and segmentation networks from PyTorch's official website.
   • All OpenAI CLIP language-vision models.
   • All Taskonomy 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.