gcloud alpha ml video detect-object

NAME: gcloud alpha ml video detect-object - detect and track objects in a video
SYNOPSIS: gcloud alpha ml video detect-object INPUT_PATH [--async] [--output-uri=OUTPUT_URI] [--region=REGION] [--segments=[SEGMENTS,…]] [GCLOUD_WIDE_FLAG …]
DESCRIPTION: (ALPHA) Detect and track objects in a video.
EXAMPLES: To detect and track objects in video file 'gs://my_bucket/input_file.mp4':
gcloud alpha ml video detect-object 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. This variant is also available:
gcloud beta ml video detect-object