INNER CODE UNIT · Python

evaluate

DeepLabCut/DeepLabCut · deeplabcut/benchmark/__init__.py:46

def evaluate(
    include_benchmarks: Container[str] = None,
    results: ResultCollection = None,
    on_error="return",
) -> ResultCollection:
    """Run evaluation for all benchmarks and methods.

    Note that in order for your custom benchmark to be included during
    evaluation, the following conditions need to be met:

        - The benchmark subclassed one of the benchmark definitions in
          in ``benchmark.benchmarks``
        - The benchmark is registered by applying the ``@benchmark.register``
          decorator to the class
        - The benchmark was imported. This is done automatically for all
          benchmarks that are defined in submodules or subpackages of the
          ``benchmark.submissions`` module. For all other locations, make
          sure to manually import the packages **before** calling the

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