design.mtbml

{
    "app": "ML",
    "calibration_data": {
        "active_state": false,
        "feat_col_count": 1,
        "feat_col_first": 0,
        "input_calibration_type": "NPZ",
        "input_format": "JPEG",
        "path": "",
        "target_col_count": 1,
        "target_col_first": 0
    },
    "filetype": "modustoolbox-ml-configurator",
    "formatVersion": "3",
    "lastSavedWith": "ML Configurator",
    "lastSavedWithVersion": "2.0.0",
    "model": {
        "framework": "TFLITE",
        "optimization_ifx": "SIZE",
        "optimization_tflm": false,
        "path": "Edge/PDM/baby_cry.h5",
        "quantization": {
            "float32": true,
            "int16x16": false,
            "int16x8": false,
            "int8x8": false
        },
        "sparsity_tflm": false,
        "tflm_model_quantization": "FLOAT"
    },
    "name": "IMAGIMOB_MODEL",
    "output_dir": "mtb_ml_gen",
    "target": "PSoC6",
    "toolsPackage": "ModusToolbox Machine Learning Pack 2.0.0",
    "validation": {
        "feat_col_count": 1,
        "feat_col_first": 0,
        "input_format": "JPEG",
        "input_type": "PRNG",
        "max_samples": 100,
        "path": "",
        "quantization": {
            "float32": true,
            "int16x16": true,
            "int16x8": true,
            "int8x8": true
        },
        "target": {
            "target_quantization": "float"
        },
        "target_col_count": 1,
        "target_col_first": 0
    }
}