library-integration

To add a new image augmentation library to a benchmark suite, create a transform implementation file, add a corresponding requirements file, and register the matrix mappings and environment groups for benchmarking.

Library integration testing requires creating a transform implementation at benchmark/transforms/{library}_impl.py, a matching requirements file, and registration updates in matrix.py to enable benchmarking.

To register new transforms in matrix specs for benchmarking, update the matrix.py file with the appropriate environment groups and mappings to ensure compatibility and enable the benchmark suite.

Yes, updating requirements is necessary for video augmentation library integration. You must create a corresponding requirements file alongside the transform implementation to ensure the benchmark environment has the needed dependencies.

Yes, you can validate new benchmark library integrations by adding optional tests and updating documentation. This ensures compatibility and provides a repeatable process for the newly integrated transforms.

The best way to ensure compatibility when adding augmentation libraries to benchmarks is to update matrix specs and environment groups during integration, validating the setup with optional tests and documentation updates.