Adds one more tutorial as well as fixes some copy/paste typos.

video/cloud-client/faces/README.md

@@ -0,0 +1,29 @@
+# Google Cloud Video Intelligence
+
+Demonstrates face detection using the Google Cloud Video Intelligence API.
+
+## Setup
+Please follow the [Set Up Your Project](https://cloud.google.com/video-intelligence/docs/getting-started#set_up_your_project)
+steps in the Quickstart doc to create a project and enable the Google Cloud
+Video Intelligence API. Following those steps, make sure that you
+[Set Up a Service Account](https://cloud.google.com/video-intelligence/docs/common/auth#set_up_a_service_account),
+and export the following environment variable:
+
+```
+export GOOGLE_APPLICATION_CREDENTIALS=/path/to/your-project-credentials.json
+```
+
+## Run the sample
+
+Install [pip](https://pip.pypa.io/en/stable/installing) if not already installed.
+
+Install the necessary libraries using pip:
+
+```sh
+$ pip install -r requirements.txt
+```
+
+Run the sample, for example:
+```
+python faces.py gs://cloudmleap/video/googlework.mp4
+```

video/cloud-client/faces/faces.py

@@ -0,0 +1,81 @@
+#!/usr/bin/env python
+
+# Copyright 2017 Google Inc. All Rights Reserved.
+#
+# 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.
+
+"""This application demonstrates how to perform shot change detection with the
+Google Cloud Video Intelligence API.
+
+For more information, check out the documentation at
+https://cloud.google.com/videointelligence/docs.
+"""
+
+# [START full_tutorial]
+# [START imports]
+import argparse
+import sys
+import time
+
+from google.cloud.gapic.videointelligence.v1beta1 import enums
+from google.cloud.gapic.videointelligence.v1beta1 import (
+    video_intelligence_service_client)
+# [END imports]
+
+
+def analyze_faces(path):
+    # [START construct_request]
+    """ Detects faces given a GCS path. """
+    video_client = (video_intelligence_service_client.
+                    VideoIntelligenceServiceClient())
+    features = [enums.Feature.FACE_DETECTION]
+    operation = video_client.annotate_video(path, features)
+    # [END construct_request]
+    print('\nProcessing video for face annotations:')
+
+    # [START check_operation]
+    while not operation.done():
+        sys.stdout.write('.')
+        sys.stdout.flush()
+        time.sleep(20)
+
+    print('\nFinished processing.')
+    # [END check_operation]
+
+    # [START parse_response]
+    # first result is retrieved because a single video was processed
+    face_annotations = (operation.result().annotation_results[0].
+                        face_annotations)
+
+    for face_id, face in enumerate(face_annotations):
+        print('Thumbnail size: {}'.format(len(face.thumbnail)))
+
+        for segment_id, segment in enumerate(face.segments):
+            print('Track {}: {} to {}'.format(
+                segment_id,
+                segment.start_time_offset,
+                segment.end_time_offset))
+    # [END parse_response]
+
+
+if __name__ == '__main__':
+    # [START running_app]
+    parser = argparse.ArgumentParser(
+        description=__doc__,
+        formatter_class=argparse.RawDescriptionHelpFormatter)
+    parser.add_argument('path', help='GCS file path for face detection.')
+    args = parser.parse_args()
+
+    analyze_faces(args.path)
+    # [END running_app]
+# [END full_tutorial]

video/cloud-client/faces/faces_test.py

@@ -0,0 +1,32 @@
+#!/usr/bin/env python
+
+# Copyright 2017 Google, Inc
+#
+# 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 os
+
+import pytest
+
+import faces
+
+BUCKET = os.environ['CLOUD_STORAGE_BUCKET']
+FACES_FILE_PATH = '/video/googlework.mp4'
+
+
+@pytest.mark.slow
+def test_work_video_faces(capsys):
+    faces.analyze_faces(
+        'gs://{}{}'.format(BUCKET, FACES_FILE_PATH))
+    out, _ = capsys.readouterr()
+    assert 'Thumbnail' in out

video/cloud-client/faces/requirements.txt

@@ -0,0 +1 @@
+https://storage.googleapis.com/videointelligence-alpha/videointelligence-python.zip

video/cloud-client/shotchange/README.md

@@ -1,6 +1,6 @@
 # Google Cloud Video Intelligence
 
-Demonstrates label detection using the Google Cloud Video Intelligence API.
+Demonstrates shot change detection using the Google Cloud Video Intelligence API.
 
 ## Setup
 Please follow the [Set Up Your Project](https://cloud.google.com/video-intelligence/docs/getting-started#set_up_your_project)

video/cloud-client/shotchange/shotchange.py

@@ -68,7 +68,7 @@ def analyze_shots(path):
     parser = argparse.ArgumentParser(
         description=__doc__,
         formatter_class=argparse.RawDescriptionHelpFormatter)
-    parser.add_argument('path', help='GCS file path for label detection.')
+    parser.add_argument('path', help='GCS path for shot change detection.')
     args = parser.parse_args()
 
     analyze_shots(args.path)