gcloud ml video detect-explicit-content

gcloud ml video detect-explicit-content - detect explicit content in videos

gcloud ml video detect-explicit-content INPUT_PATH [--async ] [--output-uri =OUTPUT_URI] [--region =REGION] [--segments =[SEGMENTS,…]] [GCLOUD_WIDE_FLAG …]

The response includes a bucketized likelihood value, from VERY_UNLIKELY to VERY_LIKELY. When Explicit Content Detection evaluates a video, it does so on a per-frame basis and considers visual content only (not audio).

INPUT_PATH

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

--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:

*Histhenumberofhoursfrombeginningofvideo
*Misthenumberofminutesfromthebeginningofvideo
*Sisthenumberofsecondsfromthebeginningofthevideo

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

Run $ gcloud help for details.