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  • 3.8.1

    • Object Detection Full Process Sample

    The OE package provides a full process object detection sample in the samples/ucp_tutorial/all-round path. This sample shows how to run a detection model on J6 and display the results.

    Program Principle

    This sample includes CameraInputModule, InferenceModule, PostProcessModule, CodecModule and WebDisplayModule, it uses the producer + consumer model to connect the modules in series. The relationship is shown in the following figure:

    sample
    • CameraInputModule: Get the pyramid image passed in from the sensor.
    • InferenceModule: Select a layer of the pyramid image and call the UCP model inference interface to perform the detection task.
    • PostProcessModule: Post-process the predicted results to obtain detection results.
    • CodecModule: Get the pyramid image and encode it as jpg format data output.
    • WebDisplayModule: Get the intelligent results and encoded jpg data, and send them to the web for display via websocket.

    Compile and Deploy

    bash build_aarch64.sh

    After the above command is executed, a deploy directory will be generated and copied to the J6 board.

    Run

    Enter the deploy folder and execute the following command:

    sh run_sample.sh -x

    x indicates the debug level of the log, which supports i/d/w/e.

    • i: Print info information to show the time and FPS of each module. The default setting is i.
    • d: Print debug information.
    • w: Print warning information.
    • e: Print error information.

    Camera Supports

    Currently supports OVX8b (Fov120) camera.

    How to Use

    Enter the deploy folder and modify the post-processing configuration file to adjust the detection effect:

    vi script/configs/model/postprocess_config.json

    Run the full process sample:

    sh run_sample.sh

    Open the browser and visit http://IP. IP is the address of J6 board. Click the web display link to view the detection effect.