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@prajnan93 prajnan93 released this 19 Dec 18:27
· 13 commits to main since this release
v0.2.4
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Learn about vigilant mode.
  • Advanced spatial augmentations borrowed from VCN and AutoFlow
  • Added Normalization as a configurable dataset parameter
  • PWC-Net and FlowNetC bug fix:MultiScale Loss and Correlation Computation
  • PWC-Net: decouple PWC-Net modules
  • Distributed Training barrier synchronization
  • Kubric dataset support Kubric optical flow
    An additional script is required to convert .tfrecords to PyTorch-compatible DataLoader. This script is provided in a standalone repository kubric-flow as it requires installation of tensorflow.
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