Recognite
Recognite is a library to kickstart your next PyTorch-based recognition project.
Some interesting features include:
You can choose from nearly 80 different base models for your recognition model: classics like AlexNet, GoogLeNet, VGG, Inception, ResNet, but also more recent models like ResNeXt, EfficientNet, and transformer-based models like ViT and SwinTransformer.
You can easily evaluate your model model directly for a recognition task, where query samples are compared with a gallery, and none of the samples have a class that was used during training.
By changing only a single argument, you can cross-validate sets of hyperparameters without much effort.
User guide