Initial commit

amazonservices/analyzer.py

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+# Copyright 2010-2019 Amazon.com, Inc. or its affiliates. All Rights Reserved.
+#
+# This file is licensed under the Apache License, Version 2.0 (the "License").
+# You may not use this file except in compliance with the License. A copy of the
+# License is located at
+#
+# http://aws.amazon.com/apache2.0/
+#
+# This file 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 boto3
+
+def parents(label_parents):
+    return list(map(lambda lp: lp['Name'],  label_parents)) 
+
+
+def cars(photo_name):
+
+    # Change bucket and photo to your S3 Bucket and image.
+    bucket='parking-pictures'
+    photo=photo_name
+
+    client=boto3.client('rekognition')
+
+    response = client.detect_labels(Image={'S3Object':{'Bucket':bucket,'Name':photo}},
+        MaxLabels=10)
+
+    number_of_cars = sum(len(label['Instances']) for label in response['Labels'] if label['Name'] == 'Car')
+    
+    instances = [] 
+    
+    for label in response['Labels']:
+        if label['Name'] != 'Car':
+            continue
+            instances.append(label['Instances'])
+
+    return (number_of_cars, instances)

amazonservices/uploader.py

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+import boto3
+import base64
+import datetime
+import io
+
+
+def upload_file(base64_data, extension):
+    s3 = boto3.client('s3')
+    picture_bytes = base64.b64decode(base64_data)
+    name = str(datetime.datetime.now().timestamp()) + extension; 
+    s3.upload_fileobj(io.BytesIO(picture_bytes), 'parking-pictures', name)
+    return name