{
    // Define parameters
    // ========================================================
    // Unit abbreviations:
    //   dva: degrees of visual angle
    //   pix: pixels
    "verbose": true,

    // display: Defines geometry of target display
    // ========================================================
    // The encoded image will be scaled such that it optimally uses
    // the max space available. If the orignal image has a different aspect
    // ratio than the display region, it will only use one spatial
    // dimension (horizontal or vertical) to its full extent
    //
    // If one dva corresponds to different pix_per_dva on the display,
    // (i.e. varying distance observers from screen), it should be set
    // larger than the largest pix_per_dva required, for avoiding
    // extrapolation artefacts or blur.
    //
    "display": {
        "size_max_x_dva": 10.0,  // maximum x size of encoded image
        "size_max_y_dva": 10.0,  // minimum y size of encoded image
        "pix_per_dva": 40.0,  // scaling factor pixels to dva
        "scale": "same_range"  // "same_luminance" or "same_range"
    },

    // gabor: Defines paras of Gabor filters for contour extraction
    // ==============================================================
    "gabor": {
        "sigma_kernel_dva": 0.06,
        "lambda_kernel_dva": 0.12,
        "n_orientations": 8
    },

    // encoding: Defines parameters of sparse encoding process
    // ========================================================
    // Roughly speaking, after contour extraction dictionary elements
    // will be placed starting from the position with the highest
    // overlap with the contour. Elements placed can be surrounded
    // by a dead or inhibitory zone to prevent placing further elements
    // too closely. The procedure will map 'n_patches_compute' elements
    // and then stop. For each element one obtains an overlap with the
    // contour image.
    //
    // After placement, the overlaps found are normalized to the max
    // overlap found, and then all elements with a larger normalized overlap
    // than 'overlap_threshold' will be selected. These remaining
    // elements will comprise a 'full' encoding of the contour.
    //
    // To generate even sparser representations, the full encoding can
    // be reduced to a certain percentage of elements in the full encoding
    // by setting the variable 'percentages'
    //
    // Example: n_patches_compute: 100 reduced by overlap_threshold: 0.1
    // to 80 elements. Requesting a percentage of 30% yields representation
    // with 24 elements.
    //
    "encoding": {
        "n_patches_compute": 100,  // this amount of patches will be placed
        "use_exp_deadzone": true,  // parameters of Gaussian deadzone
        "size_exp_deadzone_dva": 1.20,  // PREVIOUSLY 1.4283
        "use_cutout_deadzone": true,  // parameters of cutout deadzone
        "size_cutout_deadzone_dva": 0.65,  // PREVIOUSLY 0.7575
        "overlap_threshold": 0.1,  // relative overlap threshold
        "percentages": 100
    },

    "number_of_patches": 100, // TODO: Repeated from encoding

    // dictionary: Defines parameters of dictionary
    // ========================================================
    "dictionary": {
        "size_dva": 1.0,  // PREVIOUSLY 1.25,
        "clocks": {
            "n_dir": 8,  // number of directions for clock pointer segments
            "n_open": 4,  // number of opening angles between two clock pointer segments
            "pointer_width": 0.07,  // PREVIOUSLY 0.05,  // relative width and size of tip extension of clock pointer
            "pointer_length": 0.18  // PREVIOUSLY 0.15,  // relative length of clock pointer
        },
        "phosphene": {
            "sigma_width": 0.18  // DEFAULT 0.15,  // half-width of Gaussian
        }
    },


    // control: For controlling plotting options and flow of script
    // ========================================================
    "control": {
        "force_torch_use_cpu": false,  // force using CPU even if GPU available
        // "show_capture": true,  // shows captured image
        // "show_object": true,  // shows detected object
        "show_mode": "cv2", // "pyplot" or "cv2"
        "show_image": true, // shows input image
        "show_contours": true,  // shows extracted contours
        "show_percept": true  // shows percept
}


}