inception_v3

torchvision.models.inception_v3(pretrained: bool = False, progress: bool = True, **kwargs: Any) → torchvision.models.inception.Inception3

Inception v3 model architecture from “Rethinking the Inception Architecture for Computer Vision”. The required minimum input size of the model is 75x75.

Note

Important: In contrast to the other models the inception_v3 expects tensors with a size of N x 3 x 299 x 299, so ensure your images are sized accordingly.

Parameters

• pretrained (bool) – If True, returns a model pre-trained on ImageNet

• progress (bool) – If True, displays a progress bar of the download to stderr

• aux_logits (bool) – If True, add an auxiliary branch that can improve training. Default: True

• transform_input (bool) – If True, preprocesses the input according to the method with which it was trained on ImageNet. Default: True if pretrained=True, else False.