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predict_image_object_detection_sample.py
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/
predict_image_object_detection_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
#
# 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.
#
def make_endpoint(endpoint: str) -> str:
endpoint = endpoint
return endpoint
def make_instances(filename: str) -> typing.Sequence[google.protobuf.struct_pb2.Value]:
content = read_file(filename)
# The format of each instance should conform to the deployed model's prediction input schema.
encoded_content = b64_encode(content)
instance_dict = {'content': encoded_content}
instance = to_protobuf_value(instance_dict)
instances = [instance]
return instances
def make_parameters() -> google.protobuf.struct_pb2.Value:
# See gs://google-cloud-aiplatform/schema/predict/params/image_object_detection_1.0.0.yaml for the format of the parameters.
parameters_dict = {
"confidenceThreshold": 0.5,
"maxPredictions": 5
}
parameters = to_protobuf_value(parameters_dict)
return parameters