{
  "nms_scores_th": 0.03,            // Filtering phase: Score threshold. All the bounding boxes with lower confidence score will be filtered
  "nms_iou_th": 0.65,               // IoU Threshold.
  "image_dims": [640, 640],         // Input image size
  "max_proposals_per_class": 80,    // Maximum number of proposals per class
  "classes": 80,                    // Overall number of classes (including background)
  "bbox_decoders": [                // List of bbox decoders for the NMS layer. Each model has its own number of boxes per anchor
      {
          "name": "fused_bbox_decoder_8", // Name of BBOX decoder to use (use any name you want)
          "stride": 8,              // Pixels stride for given bbox. CONSTANT THAT IS USED FOR TRAINING
          "reg_layer": "conv37"     // Corresponding bbox regression predictor layer from translated .hn file (inside the .har, or using ``hailo visualizer`` tool)
          "cls_layer": "conv36"     // Corresponding bbox class predictor layer from translated .hn file (inside the .har, or using ``hailo visualizer`` tool)
      },
      {
          "name": "fused_bbox_decoder_16",
          "stride": 16,
          "reg_layer": "conv47"
          "cls_layer": "conv46"
      },
      {
          "name": "fused_bbox_decoder_32",
          "stride": 32,
          "reg_layer": "conv56"
          "cls_layer": "conv55"
      }
  ]
}
