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Releases: Cadene/vqa.pytorch

Add VQA2, VisualGenome, FBResNet152 (for pytorch)

18 Jul 13:44
@Cadene Cadene
v2.0
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Add VQA2, VisualGenome, FBResNet152 (for pytorch) Pre-release
Pre-release

Factory

  • vqa models, convnets and vqa datasets can be created via factories

VQA 2.0

  • VQA2(AbstractVQA) added

VisualGenome

  • VisualGenome(AbstractVQADataset) added for merging with VQA datasets
  • VisualGenomeImages(AbstractImagesDataset) added to extract features
  • extract.py now allows to extract VisualGenome features

Variable features size

  • extract.py now allows to extract from images of size != 448 via cli arg --size
  • FeaturesDataset now have an optional opt['size'] parameter

FBResNet152

  • convnets.py provides support for external pretrained-models as well as ResNets from torchvision
  • especially FBResNet152 is the porting of fbresnet152torch from torch7 used until now
Assets 2