gcloud alpha ml video detect-shot-changes

NAME: gcloud alpha ml video detect-shot-changes - detect shot changes in videos
SYNOPSIS: gcloud alpha ml video detect-shot-changes INPUT_PATH [--async] [--output-uri=OUTPUT_URI] [--region=REGION] [--segments=[SEGMENTS,…]] [GCLOUD_WIDE_FLAG …]
DESCRIPTION: (ALPHA) Detect when the shot changes in a video.
EXAMPLES: To detect shot changes in a video file named 'gs://my_bucket/input_file.mp4', run the following command:
gcloud alpha ml video detect-shot-changes gs://my_bucket/input_file.mp4
POSITIONAL ARGUMENTS: INPUT_PATH

Path to the video to be analyzed. Must be a local path or a Google Cloud Storage URI.
FLAGS: --async

Return immediately, without waiting for the operation in progress to complete.

--output-uri=OUTPUT_URI

Location to which the results should be written. Must be a Google Cloud Storage URI.

--region=REGION

Optional Cloud region where annotation should take place. If no region is specified, a region will be determined based on video file location. REGION must be one of: asia-east1, europe-west1, us-east1, us-west1.

--segments=[SEGMENTS,…]

Segments from the video which you want to analyze (by default, the entire video will be treated as one segment). Must be in the format START1:END1[,START2:END2,…] (inclusive). START and END of segments must be a properly formatted duration string of the form HhMmSs where:
* H is the number of hours from beginning of video * M is the number of minutes from the beginning of video * S is the number of seconds from the beginning of the video

H, M and S can be specified as ints or floats for fractional units (to microsecond resolution). Unit chars (e.g. h, m or s) are required. Microseconds can be specified using fractional seconds e.g. 0.000569s == 569 microseconds.
Examples:
0s:23.554048s,24s:29.528064s
0:1m40s,3m50s:5m10.232265s
GCLOUD WIDE FLAGS: These flags are available to all commands: --access-token-file, --account, --billing-project, --configuration, --flags-file, --flatten, --format, --help, --impersonate-service-account, --log-http, --project, --quiet, --trace-token, --user-output-enabled, --verbosity.
Run $ gcloud help for details.
API REFERENCE: This command uses the videointelligence/v1 API. The full documentation for this API can be found at: https://cloud.google.com/video-intelligence/docs/
NOTES: This command is currently in alpha and might change without notice. If this command fails with API permission errors despite specifying the correct project, you might be trying to access an API with an invitation-only early access allowlist. These variants are also available:
gcloud ml video detect-shot-changes

gcloud beta ml video detect-shot-changes