Template:NVIDIA Transfer Learning Toolkit - Running Inference

{
    "dbscan_criterion": "IOU",
    "dbscan_eps": {
        "cyclist": 0.25,
        "pedestrian": 0.35,
        "default": 0.15,
        "car": 0.3
    },
    "dbscan_min_samples": {
        "cyclist": 0.05,
        "pedestrian": 0.05,
        "default": 0.0,
        "car": 0.05
    },
    "min_cov_to_cluster": {
        "cyclist": 0.005,
        "pedestrian": 0.005,
        "default": 0.005,
        "car": 0.005
    },
    "min_obj_height": {
        "cyclist": 4,
        "pedestrian": 4,
        "car": 4,
        "default": 2
    },
    "target_classes": ["car", "cyclist", "pedestrian"],
    "confidence_th": {
        "pedestrian": 0.6,
        "cyclist": 0.6,
        "car": 0.6
    },
    "confidence_model": {
        "car": { "kind": "aggregate_cov"},
        "pedestrian": { "kind": "aggregate_cov"},
        "cyclist": { "kind": "aggregate_cov"},
        "default": { "kind": "aggregate_cov"}
    },
    "output_map": {
        "car" : "car",
        "cyclist" : "cyclist",
        "pedestrian" : "pedestrian"
    },
    "color": {
        "car": "green",
        "cyclist": "magenta",
        "pedestrian": "cyan",
        "default": "blue"
    },
    "postproc_classes": ["car", "cyclist", "pedestrian"],
    "image_height": 384,
    "image_width": 1248,
    "stride": 16
}