source-list:
  - main: rtsp://admin:cda1b2c3@192.168.1.6:554/Streaming/Channels/101 # 正1
    side: rtsp://admin:cda1b2c3@192.168.1.4:554/Streaming/Channels/101 # 辅2
  - main: rtsp://admin:cda1b2c3@192.168.1.7:554/Streaming/Channels/101 # 正2
    side: rtsp://admin:cda1b2c3@192.168.1.8:554/Streaming/Channels/101 # 辅1

  # 测试环境
  # - main: file:///opt/nvidia/deepstream/deepstream/sources/apps/sample_apps/sentinel/dist/source/traffic_test.mp4
  #   side: rtsp://admin:cda1b2c3@10.0.4.41:554/Streaming/Channels/101

vehicle_type:
  # 0：不限制 1：轿跑车 2：大型车辆 3：轿车 4：SUV 5：卡车 6：面包车/厢型车
  # 7：大型车辆 + 卡车（生产）
  type: 7

output:
  ## 1:file ouput  2:fake output 3:eglsink output 4:rtsp output
  type: 2
  ## 0: H264 encoder  1:H265 encoder
  enc: 0
  ## encoder type 0=Hardware 1=Software
  enc-type: 0
  bitrate: 6000000
  ##The file name without suffix
  filename: test

primary-gie:
  #0:nvinfer, 1:nvinfeserver
  plugin-type: 0
  ##For car detection
  config-file-path: pgie_0_traffic_cam_net.yml
  unique-id: 1

#If there is ROI
analytics:
  enable: 1
  config-file: config_nvdsanalytics.txt

secondary-gie1:
  unique-id: 2
  #0:nvinfer, 1:nvinfeserver
  plugin-type: 0
  config-file-path: sgie_1_vehicle_type.yml
  process-mode: 2

tracker:
  enable: 1
  tracker-width: 640
  tracker-height: 384
  gpu-id: 0
  ll-lib-file: /opt/nvidia/deepstream/deepstream/lib/libnvds_nvmultiobjecttracker.so
  ll-config-file: config_tracker.yml
  enable-batch-process: 1