{
    "video_settings": { # Video input settings
        "source": "rtsp://127.0.0.1:554/h264", # Link to RTSP stream
        "width": 1920, # Width of image in video source
        "height": 1080, # Height of image in video source
        "reduced_width": 640, # Desired width of image (for imshow and MJPEG streaming, also reduces inference time (processing > accuracy) for neural network)
        "reduced_height": 360, # Desired height of image (for imshow and MJPEG streaming, also reduces inference time (processing > accuracy) for neural network)
        "camera_id": "f2abe45e-aad8-40a2-a3b7-0c610c0f3dda" # Unique ID for video source (useful for 'client-server' model)
    },
    "neural_network_settings": { # YOLO neural network settings
        "darknet_cfg": "yolov3.cfg", # Path to configuration.file
        "darknet_weights": "yolov3.weights", # Path to weights wile
        "darknet_classes": "coco.names", # Path to *.names file (labels of objects)
        "conf_threshold": 0.2, # Confidence threshold
        "nms_threshold": 0.4, # NMS threshold (postprocessing)
        "target_classes": ["car", "motorbike", "bus", "train", "truck"] # What classes you want to detect (if you want to use public dataset, but ignore some classes)
    },
    "cuda_settings":{ # CUDA settings, currently useless
        "enable": true # CUDA settings, currently useless
    },
    "mjpeg_settings":{ # MJPEG streaming settings
        "imshow_enable": false, # Do you want to enable imshow() feature (useful for testing purposes)
        "enable": true, # Do you want to enable this feature?
        "port": 35678 # Listening port fo connections
    },
    "grpc_settings": { # gRPC 'client-server' model settings
        "enable": true, # Do you want to enable this feature?
        "server_ip": "localhost", # gRPC server's IP
        "server_port": 50051 # gRPC server's listening port
    },
    "classes_settings": [ # classes settings (according to 'target_classes' in 'neural_network_settings')
        {
            "class_name": "car", # Corresponding class label
            "drawing_settings": {
                "bbox_settings": { # Setting for bounding boxes (detected objects)
                    "rgba": [255, 255, 0, 0], # Color of bounding box border
                    "thickness": 2 # Thickness as is
                },
                "centroid_settings": { # Setting for centroid of bounding boxes
                    "rgba": [255, 0, 0, 0], # Color of circle
                    "radius": 4, # Radius of circle
                    "thickness": 2 # Thickness as is
                },
                "text_settings": { # Setting for text above bounding boxes
                    "rgba": [0, 255, 0, 0], # Text color
                    "scale": 0.5, # Size of text
                    "thickness": 1, # Thickness as is
                    "font": "hershey_simplex" # Text font
                },
                "display_object_id": true # If you want to display object identifier
            }
        },
        {
            "class_name": "motorbike", # see "car" ref.
            "drawing_settings": {} # if propetry is empty, then default values are used
        },
        {
            "class_name": "bus", # see "car" ref.
            "drawing_settings": {} # if propetry is empty, then default values are used
        },
        {
            "class_name": "train", # see "car" ref.
            "drawing_settings": {} # if propetry is empty, then default values are used
        },
        {
            "class_name": "truck", # see "car" ref.
            "drawing_settings": {} # if propetry is empty, then default values are used
        }
    ],
    "tracker_settings": { # Tracked settings
        "tracker_type": "simple/kalman" # Use one of supported trackers. Simple tracker should fit realy simple scenes, while Kalman should be used with complicated scenes.
        "max_points_in_track": 150, # Restriction for maximum points in single track (>=1). Default value 10 (in case of value less than 1)
        "lines_settings":[
            {
                "line_id": 1, # Unique ID for line id (useful for 'client-server' model)
                "begin": [150, 800], # [X1,Y1], start point of line (usually, left side)
                "end": [1600, 800], # [X2,Y2], end point of line (usually, right side)
                "direction": "to_detector", # Direction of line (possible values: 'to_detector' and 'from_detector')
                "detect_classes": ["car", "motorbike", "bus", "train", "truck"], # What classes must be cropped (as detected objects) that were captured by detection line.
                "rgba": [255, 0, 0, 0], # Color of detection line
                "crop_mode": "crop" # When 'grpc_settings' field 'enable' is set to TRUE this option will be used for sending either cropped detected object (bbox==crop) or full image with bbox info to gRPC server-side application. Default is 'crop'
            }
        ],
        "speed_estimation_settings": { # Setting for speed estimation bas on GIS convertion between different spatial systems
            "enabled": false, # Enable this feature or not
            "mapper": [ # Map pixel coordinate to EPSG4326 coordinates
                # You should provide coordinates in correct order.
                # E.g. right bottom -> left bottom -> left top -> right top
                # Coordinates should match reduced_width and reduces_height attributes.
                {"image_coordinates": [640, 360], "epsg4326": [37.61891380882616, 54.20564268115055]},
                {"image_coordinates": [640, 0], "epsg4326": [37.61875545294513, 54.20546281228973]},
                {"image_coordinates": [0, 0], "epsg4326": [37.61903085447736, 54.20543126804313]},
                {"image_coordinates": [0, 360], "epsg4326": [37.61906183714973, 54.20562590237201]}
            ]
        }
    },
    "matpprof_settings": { # pprof for GoCV. Useful for debugging
        "enable": true # Do you want to enable this feature?
    }
}