Skip to content

Getting Started

Step by step instructions:

  1. Download the models using download_models/downloadModels.sh

    make download-models

  2. Update github submodules

    make update-submodules

  3. Download sample videos used by the performance tools

    make download-sample-videos

  4. Build the demo Docker image

    make build

  5. Start Automated Self Checkout using the Docker Compose file. The Docker Compose also includes an RTSP camera simulator that will infinitely loop through the sample videos downloaded in step 3.

    make run-render-mode

  6. Verify Docker containers

    Verify Docker images 

    docker ps --format 'table{{.Names}}\t{{.Status}}\t{{.Image}}'
    Result: 
    NAMES                 STATUS          IMAGE
camera-simulator0     Up 12 seconds   jrottenberg/ffmpeg:4.1-alpine
src-ClientGst-1       Up 14 seconds   dlstreamer:dev
camera-simulator      Up 13 seconds   aler9/rtsp-simple-server

  7. Verify Results

    After starting Automated Self Checkout you will begin to see result files being written into the results/ directory. Here are example outputs from the 3 log files.

    gst-launch_

    libva info: VA-API version 1.22.0
libva info: User environment variable requested driver 'iHD'
libva info: Trying to open /usr/lib/x86_64-linux-gnu/dri/iHD_drv_video.so
libva info: Found init function __vaDriverInit_1_22
libva info: va_openDriver() returns 0
Setting pipeline to PAUSED ...
Pipeline is live and does not need PREROLL ...
Redistribute latency...
/GstPipeline:pipeline0/GstFPSDisplaySink:fpsdisplaysink0/GstAutoVideoSink:autovideosink0/GstXvImageSink:autovideosink0-actual-sink-xvimage: sync = true
Progress: (open) Opening Stream
Pipeline is PREROLLED ...
Prerolled, waiting for progress to finish...
Progress: (connect) Connecting to rtsp://localhost:8554/camera_0

    pipeline

    14.58
14.58
15.47
15.47
15.10
15.10
14.60
14.60
14.88
14.88

    r

    {"resolution":{"height":1080,"width":1920},"timestamp":1}
{"objects":[{"detection":{"bounding_box":{"x_max":1.0,"x_min":0.7868695002029238,"y_max":0.8493015899134377,"y_min":0.4422388975124676},"confidence":0.7139435410499573,"label":"person","label_id":0},"h":440,"region_id":486,"roi_type":"person","w":409,"x":1511,"y":478}],"resolution":{"height":1080,"width":1920},"timestamp":66661013}
{"objects":[{"detection":{"bounding_box":{"x_max":1.0,"x_min":0.6974737628926411,"y_max":0.8381138710318847,"y_min":0.44749696271196093},"confidence":0.7188630104064941,"label":"person","label_id":0},"h":422,"region_id":576,"roi_type":"person","w":581,"x":1339,"y":483}],"resolution":{"height":1080,"width":1920},"timestamp":133305076}

  8. Stop the demo using docker compose down 

    make down

Proceed to Advanced Settings

Pipeline Performance Tools