v0.2.5

• New model and checkpoint : DCVNet (Dilated Cost Volume Networks for Fast Optical Flow)
• Added configurable dataloader

v0.2.4

• 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.

v0.2.3

Version bump

v0.2.1

Remove unnecessary type converion for metric value in eval fn (#184)

v0.2.0

Add option of calculating EPE split by motion magnitude (#183)

Version 0.1.0

First release of EzFlow!