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predict_image_classification_sample.py
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predict_image_classification_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_predict_image_classification_sample]
import base64
from google.cloud import aiplatform
from google.cloud.aiplatform.v1beta1.schema.predict import instance
from google.cloud.aiplatform.v1beta1.schema.predict import params
from google.cloud.aiplatform.v1beta1.schema.predict import prediction
def predict_image_classification_sample(
project: str,
endpoint_id: str,
filename: str,
location: str = "us-central1",
api_endpoint: str = "us-central1-prediction-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.PredictionServiceClient(client_options=client_options)
with open(filename, "rb") as f:
file_content = f.read()
# The format of each instance should conform to the deployed model's prediction input schema.
encoded_content = base64.b64encode(file_content).decode("utf-8")
instance_obj = instance.ImageClassificationPredictionInstance(
content=encoded_content)
instance_val = instance_obj.to_value()
instances = [instance_val]
params_obj = params.ImageClassificationPredictionParams(
confidence_threshold=0.5, max_predictions=5)
endpoint = client.endpoint_path(
project=project, location=location, endpoint=endpoint_id
)
response = client.predict(
endpoint=endpoint, instances=instances, parameters=params_obj
)
print("response")
print("\tdeployed_model_id:", response.deployed_model_id)
# See gs://google-cloud-aiplatform/schema/predict/prediction/classification.yaml for the format of the predictions.
predictions = response.predictions
for prediction_ in predictions:
prediction_obj = prediction.ClassificationPredictionResult.from_map(prediction_)
print(prediction_obj)
# [END aiplatform_predict_image_classification_sample]