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create_data_labeling_job_video_sample.py
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create_data_labeling_job_video_sample.py
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# Copyright 2020 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
#
# https://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.
# [START aiplatform_create_data_labeling_job_video_sample]
from google.cloud import aiplatform
from google.protobuf import json_format
from google.protobuf.struct_pb2 import Value
def create_data_labeling_job_video_sample(
project: str,
display_name: str,
dataset: str,
instruction_uri: str,
annotation_spec: str,
location: str = "us-central1",
api_endpoint: str = "us-central1-aiplatform.googleapis.com",
):
# The AI Platform services require regional API endpoints.
client_options = {"api_endpoint": api_endpoint}
# Initialize client that will be used to create and send requests.
# This client only needs to be created once, and can be reused for multiple requests.
client = aiplatform.gapic.JobServiceClient(client_options=client_options)
inputs_dict = {"annotation_specs": [annotation_spec]}
inputs = json_format.ParseDict(inputs_dict, Value())
data_labeling_job = {
"display_name": display_name,
# Full resource name: projects/{project_id}/locations/{location}/datasets/{dataset_id}
"datasets": [dataset],
# labeler_count must be 1, 3, or 5
"labeler_count": 1,
"instruction_uri": instruction_uri,
"inputs_schema_uri": "gs://google-cloud-aiplatform/schema/datalabelingjob/inputs/video_classification_1.0.0.yaml",
"inputs": inputs,
"annotation_labels": {
"aiplatform.googleapis.com/annotation_set_name": "my_test_saved_query"
},
}
parent = f"projects/{project}/locations/{location}"
response = client.create_data_labeling_job(
parent=parent, data_labeling_job=data_labeling_job
)
print("response:", response)
# [END aiplatform_create_data_labeling_job_video_sample]