export declare const modelConfigure: import("@alwaysai/alwayscli/lib/types").CliLeaf<import("@alwaysai/alwayscli").CliInput<undefined, false>, {
    name: import("@alwaysai/alwayscli").CliInput<string, true>;
    framework: import("@alwaysai/alwayscli").CliInput<"tensorflow" | "caffe" | "enet" | "darknet" | "onnx" | "tensor-rt" | "hailo" | "qaic" | "torch", true>;
    model_file: import("@alwaysai/alwayscli").CliInput<string | undefined, false>;
    mean: import("@alwaysai/alwayscli").CliInput<number[] | undefined, boolean>;
    scalefactor: import("@alwaysai/alwayscli").CliInput<number | undefined, boolean>;
    size: import("@alwaysai/alwayscli").CliInput<number[] | undefined, boolean>;
    purpose: import("@alwaysai/alwayscli").CliInput<"ObjectDetection" | "InstanceSegmentation" | "Classification" | "PoseEstimation" | "SemanticSegmentation" | "ReIdentification", true>;
    crop: import("@alwaysai/alwayscli").CliInput<boolean, false>;
    config_file: import("@alwaysai/alwayscli").CliInput<string | undefined, false>;
    label_file: import("@alwaysai/alwayscli").CliInput<string | undefined, false>;
    colors_file: import("@alwaysai/alwayscli").CliInput<string | undefined, false>;
    swaprb: import("@alwaysai/alwayscli").CliInput<boolean, false>;
    softmax: import("@alwaysai/alwayscli").CliInput<boolean, false>;
    batch_size: import("@alwaysai/alwayscli").CliInput<number | undefined, boolean>;
    output_layer_names: import("@alwaysai/alwayscli").CliInput<string[] | undefined, boolean>;
    device: import("@alwaysai/alwayscli").CliInput<"xavier-nx" | "agx-xavier" | "agx-orin" | "orin-nx" | undefined, false>;
    architecture: import("@alwaysai/alwayscli").CliInput<"yolov3" | "yolov4" | "mobilenet_ssd" | "centernet" | "detr" | "yolo_x" | "rtdetr" | "yolo" | undefined, false>;
    quantize_input: import("@alwaysai/alwayscli").CliInput<boolean, false>;
    quantize_output: import("@alwaysai/alwayscli").CliInput<boolean, false>;
    input_format: import("@alwaysai/alwayscli").CliInput<"auto" | "none" | "float32" | "uint8" | "uint16" | undefined, false>;
    output_format: import("@alwaysai/alwayscli").CliInput<"auto" | "none" | "float32" | "uint8" | "uint16" | undefined, false>;
}, import("@alwaysai/alwayscli").CliInput<undefined, false>>;
//# sourceMappingURL=configure.d.ts.map