Add segmentation pipeline

[phorne-uncharted]

No description provided.

[cdbethune]

I tried to test but keep getting an error about the dataset not having a Target or TrueTarget set on it:

WARNING - 2021-11-20 11:48:27,194 - v-main-2446619 - distil - Exception running task ID a09ca9a4-b00f-410b-9594-65540400e8fb: Step 6 for pipeline  failed.
Traceback (most recent call last):
  File "/home/chris/dev/miniconda3/envs/distil-auto-ml/lib/python3.6/site-packages/d3m/runtime.py", line 1114, in _do_run_step
    self._run_step(step)
  File "/home/chris/dev/miniconda3/envs/distil-auto-ml/lib/python3.6/site-packages/d3m/runtime.py", line 1104, in _run_step
    self._run_primitive(step)
  File "/home/chris/dev/miniconda3/envs/distil-auto-ml/lib/python3.6/site-packages/d3m/runtime.py", line 979, in _run_primitive
    multi_call_result = self._call_primitive_method(primitive.fit_multi_produce, fit_multi_produce_arguments)
  File "/home/chris/dev/miniconda3/envs/distil-auto-ml/lib/python3.6/site-packages/d3m/runtime.py", line 1080, in _call_primitive_method
    raise error
  File "/home/chris/dev/miniconda3/envs/distil-auto-ml/lib/python3.6/site-packages/d3m/runtime.py", line 1076, in _call_primitive_method
    result = method(**arguments)
  File "/home/chris/dev/miniconda3/envs/distil-auto-ml/lib/python3.6/site-packages/d3m/primitive_interfaces/transformer.py", line 71, in fit_multi_produce
    return self._fit_multi_produce(produce_methods=produce_methods, timeout=timeout, iterations=iterations, inputs=inputs)
  File "/home/chris/dev/miniconda3/envs/distil-auto-ml/lib/python3.6/site-packages/d3m/primitive_interfaces/base.py", line 570, in _fit_multi_produce
    produce_results = self._multi_produce(produce_methods=produce_methods, timeout=timeout, iterations=iterations, **kwargs)
  File "/home/chris/dev/miniconda3/envs/distil-auto-ml/lib/python3.6/site-packages/d3m/primitive_interfaces/base.py", line 466, in _multi_produce
    results.append(getattr(self, method_name)(timeout=timeout, iterations=iterations, **arguments))
  File "/home/chris/dev/git_work/common-primitives/common_primitives/extract_columns_semantic_types.py", line 98, in produce
    columns_to_use = self._get_columns(inputs.metadata)
  File "/home/chris/dev/git_work/common-primitives/common_primitives/extract_columns_semantic_types.py", line 133, in _get_columns
    semantic_types=self.hyperparams['semantic_types'],
ValueError: Input data has no columns matching semantic types: ('https://metadata.datadrivendiscovery.org/types/Target', 'https://metadata.datadrivendiscovery.org/types/TrueTarget')

The above exception was the direct cause of the following exception:

Traceback (most recent call last):
  File "main.py", line 201, in fit_task
    outputs_to_expose=output_keys,
  File "/home/chris/dev/git_work/distil-auto-ml/processing/pipeline.py", line 571, in fit
    raise result.error
  File "/home/chris/dev/miniconda3/envs/distil-auto-ml/lib/python3.6/site-packages/d3m/runtime.py", line 1151, in _run
    self._do_run()
  File "/home/chris/dev/miniconda3/envs/distil-auto-ml/lib/python3.6/site-packages/d3m/runtime.py", line 1131, in _do_run
    self._do_run_step(step)
  File "/home/chris/dev/miniconda3/envs/distil-auto-ml/lib/python3.6/site-packages/d3m/runtime.py", line 1123, in _do_run_step
    ) from error
d3m.exceptions.StepFailedError: Step 6 for pipeline  failed.
DEBUG - 2021-11-20 11:48:27,535 - v-main-2446619 - distil.server.ServerServicer - GetFitSolutionResultsResponse: progress {
  state: ERRORED
  status: "Step 6 for pipeline  failed."
}