{
  "nms_scores_th": 0.3,           	// First filtering phase: Score threshold. All the bounding boxes with lower confidence score will be filtered
  "nms_iou_th": 0.6,              	// Second filtering phase: IoU Threshold
  "max_proposals_per_class": 20,  	// Maximum number of proposals per class
  "centers_scale_factor": 10,     	// The default scaling factor for the centers predictions
  "bbox_dimensions_scale_factor": 5,// The default scaling factor for the the h/w predictions
  "classes": 91,                  	// Overall number of classes (including background)
  "background_removal": true,     	// Whether to remove the background channel - in SSD we use sigmoid activation therefore the background can be removed
  "background_removal_index": 0,  	// The index of the background channel
  "bbox_decoders": [
    {
      "name": "bbox_decoder13",   // Name of BBOX decoder to use (use any name you want)
      "h": [                      // Horizontal (height) size of anchors, CONSTANTS THAT WERE USED FOR TRAINING
        0.1,                      // Horizontal size of first anchor out of three, going to first bbox decoder
        0.1414213562373095,       // Horizontal size of second anchor out of three, going to first bbox decoder
        0.282842712474619         // Horizontal size of third anchor out of three, going to first bbox decoder
      ],
      "w": [                      // Vertical (width) size of anchors, CONSTANTS THAT WERE USED FOR TRAINING
        0.1,                      // Vertical size of first anchor out of three, going to first bbox decoder
        0.282842712474619,        // Vertical size of second anchor out of three, going to first bbox decoder
        0.1414213562373095        // Vertical size of third anchor out of three, going to first bbox decoder
      ],
      "reg_layer": "conv13",      // Corresponding bbox encoding predictor layer from translated .hn file (inside the .har, or using ``hailo visualizer`` tool)
      "cls_layer": "conv14"       // Corresponding class predictor layer from translated .hn file
    },
    {
      "name": "bbox_decoder17",   // Name of BBOX decoder to use (use any name you want)
      "h": [
        0.35,
        0.2474873734152916,       // Horizontal size of first anchor out of six, going to second bbox decoder
        0.4949747468305832,
        0.20207259421636903,
        0.6062480958117455,
        0.4183300132670378
      ],
      "w": [
        0.35,
        0.4949747468305833,       // Vertical size of first anchor out of six, going to second bbox decoder
        0.24748737341529164,
        0.606217782649107,
        0.20206249033405482,
        0.4183300132670378
      ],
      "reg_layer": "conv17",      // Corresponding bbox encoding predictor layer from translated .hn file
      "cls_layer": "conv18"       // Corresponding class predictor layer from translated .hn file
    },
    {
      "name": "bbox_decoder21",
      "h": [
        0.5,
        0.35355339059327373,
        0.7071067811865475,
        0.2886751345948129,
        0.8660687083024937,
        0.570087712549569
      ],
      "w": [
        0.5,
        0.7071067811865476,
        0.3535533905932738,
        0.8660254037844386,
        0.2886607004772212,
        0.570087712549569
      ],
      "reg_layer": "conv21",
      "cls_layer": "conv22"
    },
    {
      "name": "bbox_decoder25",
      "h": [
        0.65,
        0.4596194077712559,
        0.9192388155425117,
        0.37527767497325676,
        1.1258893207932419,
        0.7211102550927979
      ],
      "w": [
        0.65,
        0.9192388155425119,
        0.45961940777125593,
        1.12583302491977,
        0.3752589106203876,
        0.7211102550927979
      ],
      "reg_layer": "conv25",
      "cls_layer": "conv26"
    },
    {
      "name": "bbox_decoder29",
      "h": [
        0.8,
        0.565685424949238,
        1.131370849898476,
        0.46188021535170065,
        1.38570993328399,
        0.8717797887081347
      ],
      "w": [
        0.8,
        1.1313708498984762,
        0.5656854249492381,
        1.3856406460551018,
        0.46185712076355395,
        0.8717797887081347
      ],
      "reg_layer": "conv29",
      "cls_layer": "conv30"
    },
    {
      "name": "bbox_decoder33",
      "h": [
        0.95,
        0.67175144212722,
        1.34350288425444,
        0.5484827557301445,
        1.645530545774738,
        0.9746794344808963
      ],
      "w": [
        0.95,
        1.3435028842544403,
        0.6717514421272202,
        1.6454482671904334,
        0.5484553309067203,
        0.9746794344808963
      ],
      "reg_layer": "conv33",
      "cls_layer": "conv34"
    }
  ]
}
