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Video Intelligence region tag update #1639

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merged 5 commits into from
Aug 20, 2018
Merged

Video Intelligence region tag update #1639

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c0d4b5c
updates region tags for analyze-labels page
alixhami Aug 15, 2018
7a01c15
updates region tags for label detection tutorial
alixhami Aug 15, 2018
2d42607
updates region tags for analyze-labels page
alixhami Aug 15, 2018
9597220
updates region tags for shot change tutorial
alixhami Aug 15, 2018
cf2aee6
updates to beta region tag
alixhami Aug 16, 2018
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4 changes: 2 additions & 2 deletions video/cloud-client/analyze/analyze.py
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Original file line number Diff line number Diff line change
Expand Up @@ -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]
Expand Down Expand Up @@ -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):
Expand Down
4 changes: 2 additions & 2 deletions video/cloud-client/analyze/beta_snippets.py
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Original file line number Diff line number Diff line change
Expand Up @@ -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()
Expand Down Expand Up @@ -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__':
Expand Down
24 changes: 12 additions & 12 deletions video/cloud-client/labels/labels.py
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Expand Up @@ -27,29 +27,29 @@

"""

# [START full_tutorial]
# [START imports]
# [START video_label_tutorial]
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should this use plural labels to be more consistent with the directory and file name?

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I can make this update if you prefer, but the other context to note is that page in the docs is called label-tutorial and the title of the tutorial is Label Detection Tutorial.
https://cloud.google.com/video-intelligence/docs/label-tutorial

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no strong preference on this. let's keep it as you have it now. thanks.

# [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(
Expand All @@ -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]
4 changes: 2 additions & 2 deletions video/cloud-client/quickstart/quickstart.py
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Original file line number Diff line number Diff line change
Expand Up @@ -24,7 +24,7 @@


def run_quickstart():
# [START videointelligence_quickstart]
# [START video_quickstart]
from google.cloud import videointelligence

video_client = videointelligence.VideoIntelligenceServiceClient()
Expand Down Expand Up @@ -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__':
Expand Down
24 changes: 12 additions & 12 deletions video/cloud-client/shotchange/shotchange.py
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Original file line number Diff line number Diff line change
Expand Up @@ -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]