What's Changed

• Updated autolab_core/perception deps to reflect API changes.

Full Changelog: https://github.com/BerkeleyAutomation/gqcnn/compare/v1.2.0...v1.3.0

Release 1.2.0

Python 2 support has been dropped.

Release 1.1.1

This will be the final release to support Python 2. Starting from v1.1.2, only Python 3 will be supported.

Release 1.1.0

We're excited to announce GQ-CNN version 1.1.0, which brings the GQ-CNN package up to date with support for Python 2 and 3, along with the following changes:

• PEP8 compliant codebase.
• Travis CI integration for linting and installation tests.

Release 1.0.0

We're excited to announce GQ-CNN version 1.0.0, which brings the GQ-CNN package up to date with recent research in the Dexterity-Network (Dex-Net) project. v1.0.0 introduces support for:

• Dex-Net 4.0: Composite policies that decide whether to use a suction cup or parallel-jaw gripper.
• Fully Convolutional GQ-CNNs: Fully convolutional architectures that efficiently evaluate millions of grasps faster than prior GQ-CNNs.

Misc

• More robust ROS policy with integrated pre-processing.
• Improved interface for training GQ-CNNs and evaluating policies.
• Faster training due to improved parallelism in data prefetch/pre-processing.
• Easy-to-use shell scripts for replication of published results from Dex-Net {2.0,2.1,3.0,4.0} and FC-GQ-CNN.