gsd_cn/source/CNStream/configs/yolov5_object_detection_mlu220.json

{
  "detector" : {
    "class_name" : "cnstream::Inferencer2",
    "parallelism" : 2,
    "max_input_queue_size" : 20,
    "custom_params" : {
      "model_path" : "../data/models/yolov5sm_best8_flock_s13_38_900epochs_int16_20240613_4b_4c.cambricon",
      "func_name" : "subnet0",
      // Uncomment the following 2 lines to use cncv
      // "preproc_name" : "CNCV",
      // "normalize" : true,
      "preproc_name" : "VideoPreprocYolov5",
      "postproc_name" : "VideoPostprocYolov5",
      "keep_aspect_ratio" : "true",
      "model_input_pixel_format" : "RGB24",
      "batching_timeout" : 50,
      "threshold" : 0.6,
      "infer_interval": 6,
      "engine_num" : 2,
      "device_id" : 0
    }
  }
}