FaceDetectionConfig

{
    // Location of data file which contains array of frames
    // Or from memory
    "input": {
        "mode": 0, // 0 to load from memory, 1 to load from files
        "path": "/path/to/data/file", // Only work with mode = 1
    },
    "output": {
        "mode": 0,
        // 0: Return list of bounding boxes for each frame only (2 points: top-left and bottom-right points)
        // 1: Return list of frames rendered with bounding boxes
        //    and a list of bounding boxes for each frame
    },
    "algorithms": {
        "mode": 0,
        // 0: haar_cascade
        // 1: mtcnn
        // 2: dlib
        // 3:
        "haar": {
            "path": "/path/to/haar/model",
            "scaleFactor": 1.4, // how much the image size is reduced at each image scale.
            "minNeightbors": 3, // how many neighbors each rectangle should have
            "minSize": [3, 4], // smaller are ignored. Default: []
            "maxSize": [10, 11] // larger are ignored. Default: []
        },
        "mtcnn": {
            "gpu": true, // whether to use GPU
            "paths": [
                "path/to/p_net",
                "path/to/r_net",
                "path/to/o_net"
            ], // path to models
            "min_face_size": [10, 10],
            "stride": 2,
            "threshold": 0.4,
            "slide_window": false
        },
        "fhog": { // Dlib
            "layers": 1, // number of layers
        },
        "lbp": {
            "path": "/path/to/lbp/model",
            "scaleFactor": 1.4, // how much the image size is reduced at each image scale.
            "minNeightbors": 3, // how many neighbors each rectangle should have
            "minSize": [3, 4], // smaller are ignored. Default: []
            "maxSize": [10, 11] // larger are ignored. Default: []
        }
    }
}