Video Intelligence region tag update (#1639)

Author: alixhami

video/cloud-client/analyze/analyze.py

@@ -136,7 +136,7 @@ def analyze_labels(path):
 
 
 def analyze_labels_file(path):
-    # [START video_analyze_labels_local]
+    # [START video_analyze_labels]
     """Detect labels given a file path."""
     video_client = videointelligence.VideoIntelligenceServiceClient()
     features = [videointelligence.enums.Feature.LABEL_DETECTION]
@@ -207,7 +207,7 @@ def analyze_labels_file(path):
         print('\tFirst frame time offset: {}s'.format(time_offset))
         print('\tFirst frame confidence: {}'.format(frame.confidence))
         print('\n')
-    # [END video_analyze_labels_local]
+    # [END video_analyze_labels]
 
 
 def analyze_shots(path):

video/cloud-client/analyze/beta_snippets.py

@@ -27,7 +27,7 @@
 from google.cloud import videointelligence_v1p1beta1 as videointelligence
 
 
-# [START video_speech_transcription]
+# [START video_speech_transcription_gcs_beta]
 def speech_transcription(input_uri):
     """Transcribe speech from a video stored on GCS."""
     video_client = videointelligence.VideoIntelligenceServiceClient()
@@ -66,7 +66,7 @@ def speech_transcription(input_uri):
             start_time.seconds + start_time.nanos * 1e-9,
             end_time.seconds + end_time.nanos * 1e-9,
             word))
-# [END video_speech_transcription]
+# [END video_speech_transcription_gcs_beta]
 
 
 if __name__ == '__main__':

video/cloud-client/labels/labels.py

@@ -27,29 +27,29 @@
 
 """
 
-# [START full_tutorial]
-# [START imports]
+# [START video_label_tutorial]
+# [START video_label_tutorial_imports]
 import argparse
 
 from google.cloud import videointelligence
-# [END imports]
+# [END video_label_tutorial_imports]
 
 
 def analyze_labels(path):
     """ Detects labels given a GCS path. """
-    # [START construct_request]
+    # [START video_label_tutorial_construct_request]
     video_client = videointelligence.VideoIntelligenceServiceClient()
     features = [videointelligence.enums.Feature.LABEL_DETECTION]
     operation = video_client.annotate_video(path, features=features)
-    # [END construct_request]
+    # [END video_label_tutorial_construct_request]
     print('\nProcessing video for label annotations:')
 
-    # [START check_operation]
+    # [START video_label_tutorial_check_operation]
     result = operation.result(timeout=90)
     print('\nFinished processing.')
-    # [END check_operation]
+    # [END video_label_tutorial_check_operation]
 
-    # [START parse_response]
+    # [START video_label_tutorial_parse_response]
     segment_labels = result.annotation_results[0].segment_label_annotations
     for i, segment_label in enumerate(segment_labels):
         print('Video label description: {}'.format(
@@ -68,17 +68,17 @@ def analyze_labels(path):
             print('\tSegment {}: {}'.format(i, positions))
             print('\tConfidence: {}'.format(confidence))
         print('\n')
-    # [END parse_response]
+    # [END video_label_tutorial_parse_response]
 
 
 if __name__ == '__main__':
-    # [START running_app]
+    # [START video_label_tutorial_run_application]
     parser = argparse.ArgumentParser(
         description=__doc__,
         formatter_class=argparse.RawDescriptionHelpFormatter)
     parser.add_argument('path', help='GCS file path for label detection.')
     args = parser.parse_args()
 
     analyze_labels(args.path)
-    # [END running_app]
-# [END full_tutorial]
+    # [END video_label_tutorial_run_application]
+# [END video_label_tutorial]

video/cloud-client/quickstart/quickstart.py

@@ -24,7 +24,7 @@
 
 
 def run_quickstart():
-    # [START videointelligence_quickstart]
+    # [START video_quickstart]
     from google.cloud import videointelligence
 
     video_client = videointelligence.VideoIntelligenceServiceClient()
@@ -55,7 +55,7 @@ def run_quickstart():
             print('\tSegment {}: {}'.format(i, positions))
             print('\tConfidence: {}'.format(confidence))
         print('\n')
-    # [END videointelligence_quickstart]
+    # [END video_quickstart]
 
 
 if __name__ == '__main__':

video/cloud-client/shotchange/shotchange.py

@@ -26,46 +26,46 @@
 
 """
 
-# [START full_tutorial]
-# [START imports]
+# [START video_shot_tutorial]
+# [START video_shot_tutorial_imports]
 import argparse
 
 from google.cloud import videointelligence
-# [END imports]
+# [END video_shot_tutorial_imports]
 
 
 def analyze_shots(path):
     """ Detects camera shot changes. """
-    # [START construct_request]
+    # [START video_shot_tutorial_construct_request]
     video_client = videointelligence.VideoIntelligenceServiceClient()
     features = [videointelligence.enums.Feature.SHOT_CHANGE_DETECTION]
     operation = video_client.annotate_video(path, features=features)
-    # [END construct_request]
+    # [END video_shot_tutorial_construct_request]
     print('\nProcessing video for shot change annotations:')
 
-    # [START check_operation]
+    # [START video_shot_tutorial_check_operation]
     result = operation.result(timeout=90)
     print('\nFinished processing.')
-    # [END check_operation]
+    # [END video_shot_tutorial_check_operation]
 
-    # [START parse_response]
+    # [START video_shot_tutorial_parse_response]
     for i, shot in enumerate(result.annotation_results[0].shot_annotations):
         start_time = (shot.start_time_offset.seconds +
                       shot.start_time_offset.nanos / 1e9)
         end_time = (shot.end_time_offset.seconds +
                     shot.end_time_offset.nanos / 1e9)
         print('\tShot {}: {} to {}'.format(i, start_time, end_time))
-    # [END parse_response]
+    # [END video_shot_tutorial_parse_response]
 
 
 if __name__ == '__main__':
-    # [START running_app]
+    # [START video_shot_tutorial_run_application]
     parser = argparse.ArgumentParser(
         description=__doc__,
         formatter_class=argparse.RawDescriptionHelpFormatter)
     parser.add_argument('path', help='GCS path for shot change detection.')
     args = parser.parse_args()
 
     analyze_shots(args.path)
-    # [END running_app]
-# [END full_tutorial]
+    # [END video_shot_tutorial_run_application]
+# [END video_shot_tutorial]