Vertex AI Vision

Some key steps to experiment in coming weeks. This low-code vision platform has been in my to-do list. Bookmarking some references

Stream registration

Open the Streams tab of the Vertex AI Vision dashboard.

1. Go to the Streams tab
2. Click addRegister.
3. Enter the stream name and select a region. You can click Add Row to register multiple streams at the same time.
4. Click the Register button to create one or more streams.

# This command streams a video file to a stream. Streaming ends when the video ends.

vaictl -p PROJECT_ID \

         -l LOCATION_ID \

         -c application-cluster-0 \

         --service-endpoint visionai.googleapis.com \

send video-file to streams STREAM_ID --file-path LOCAL_FILE.EXT

# This command streams a video file to a stream. Video is looped into the stream until you stop the command.

vaictl -p PROJECT_ID \

         -l LOCATION_ID \

         -c application-cluster-0 \

         --service-endpoint visionai.googleapis.com \

send video-file to streams STREAM_ID --file-path LOCAL_FILE.EXT --loop

Traffic Monitoring Solution

export SOURCE=gs://cloud-samples-data/vertex-ai-vision/street_vehicles_people.mp4
gsutil cp $SOURCE .

export PROJECT_ID=<Your Google Cloud project ID>
export LOCATION_ID=us-central1
export LOCAL_FILE=street_vehicles_people.mp4

nohup vaictl -p $PROJECT_ID \
    -l $LOCATION_ID \
    -c application-cluster-0 \
    --service-endpoint visionai.googleapis.com \
send video-file to streams 'traffic-stream' --file-path $LOCAL_FILE --loop &

Vertex AI Vision Queue Detection App

Vertex Vision AI

Keep Exploring!!!