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label_image.py
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85 lines (69 loc) · 2.54 KB
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#!/usr/bin/env python
# Copyright 2019 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import argparse
# [START datalabeling_label_image_beta]
def label_image(dataset_resource_name, instruction_resource_name,
annotation_spec_set_resource_name):
"""Labels an image dataset."""
from google.cloud import datalabeling_v1beta1 as datalabeling
client = datalabeling.DataLabelingServiceClient()
basic_config = datalabeling.types.HumanAnnotationConfig(
instruction=instruction_resource_name,
annotated_dataset_display_name='YOUR_ANNOTATED_DATASET_DISPLAY_NAME',
label_group='YOUR_LABEL_GROUP',
replica_count=1
)
feature = datalabeling.enums.LabelImageRequest.Feature.CLASSIFICATION
config = datalabeling.types.ImageClassificationConfig(
annotation_spec_set=annotation_spec_set_resource_name,
allow_multi_label=False,
answer_aggregation_type=datalabeling.enums.StringAggregationType
.MAJORITY_VOTE
)
response = client.label_image(
dataset_resource_name,
basic_config,
feature,
image_classification_config=config
)
print('Label_image operation name: {}'.format(response.operation.name))
return response
# [END datalabeling_label_image_beta]
if __name__ == '__main__':
parser = argparse.ArgumentParser(
description=__doc__,
formatter_class=argparse.RawDescriptionHelpFormatter
)
parser.add_argument(
'--dataset-resource-name',
help='Dataset resource name. Required.',
required=True
)
parser.add_argument(
'--instruction-resource-name',
help='Instruction resource name. Required.',
required=True
)
parser.add_argument(
'--annotation-spec-set-resource-name',
help='Annotation spec set resource name. Required.',
required=True
)
args = parser.parse_args()
label_image(
args.dataset_resource_name,
args.instruction_resource_name,
args.annotation_spec_set_resource_name
)