root@tda4vm-sk:/opt/edgeai-gst-apps/apps_python# cat ../configs/object_detection.yaml
title: Object Detection
log_level: 2
inputs:
    input0:
        source: /dev/video-usb-cam0
        format: jpeg
        width: 1280
        height: 720
        framerate: 30
    input1:
        source: /opt/edgeai-test-data/videos/video0_1280_768.h264
        format: h264
        width: 1280
        height: 768
        framerate: 30
        loop: True
    input2:
        source: /opt/edgeai-test-data/images/%04d.jpg
        width: 1280
        height: 720
        index: 0
        framerate: 1
        loop: True
models:
    model0:
        model_path: /opt/model_zoo/TVM-OD-5120-ssdLite-mobDet-DSP-coco-320x320
        viz_threshold: 0.6
    model1:
        model_path: /opt/model_zoo/TFL-OD-2020-ssdLite-mobDet-DSP-coco-320x320
        viz_threshold: 0.6
    model2:
        model_path: /opt/model_zoo/ONR-OD-8200-yolox-nano-lite-mmdet-coco-416x416
        viz_threshold: 0.6
    model3:
        model_path: /opt/model_zoo/custom_model
        viz_threshold: 0.6
outputs:
    output0:
        sink: kmssink
        width: 1920
        height: 1080
        overlay-perf-type: graph
    output1:
        sink: /opt/edgeai-test-data/output/output_video0.mkv
        width: 1920
        height: 1080
    output2:
        sink: /opt/edgeai-test-data/output/output_image_%04d.jpg
        width: 1920
        height: 1080
    output3:
        sink: remote
        width: 1920
        height: 1080
        port: 8081
        host: 127.0.0.1
        encoding: jpeg
        overlay-perf-type: graph

flows:
    flow0: [input1,model3,output1,[320,150,1280,720]]
root@tda4vm-sk:/opt/edgeai-gst-apps# ls /opt/model_zoo/custom_model
config.yaml  dataset.yaml  model  param.yaml  run.log
root@tda4vm-sk:/opt/model_zoo# tar -zcvf custom_model.tgz custom_model/
custom_model/
custom_model/dataset.yaml
custom_model/model/
custom_model/model/model.prototxt
custom_model/model/model.onnx
custom_model/param.yaml
custom_model/config.yaml
custom_model/run.log