Changelog

Full changelog: https://docs.rastervision.io/en/0.30/changelog.html#raster-vision-0-30
Migration guide: https://docs.rastervision.io/en/0.30/migration/v0-21_to_v0-30.html

Highlights

Easier installation: Raster Vision no longer requires exact versions of dependencies, which means it can more easily be installed alongside other packages.
AWS SageMaker support: you can now run Raster Vision jobs on SageMaker via
```
rastervision run sagemaker ...
```
You can even run training over multiple instances with multiple GPUs. See Running on AWS SageMaker for more details.
Distributed training support: Raster Vision Learners now support distributed training (both multi-node and multi-GPU) via PyTorch DDP. If your machine has multiple GPUs, Raster Vision will now automatically use them all during training.

New CLI command, predict_scene, that allows greater configurability than the predict command.

rastervision predict_scene <model_bundle_uri> <scene_config_uri> [--predict_options_uri <predict_options_uri>]

pip install rastervision==0.30.0

docker pull quay.io/azavea/raster-vision:pytorch-0.30