source/use_case/kws/usecase.cmake

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# Append the API to use for this use case
list(APPEND ${use_case}_API_LIST "kws")

set_input_file_path_user_option(".wav" ${use_case})

USER_OPTION(${use_case}_LABELS_TXT_FILE "Labels' txt file for the chosen model."
    ${CMAKE_CURRENT_SOURCE_DIR}/resources/${use_case}/labels/micronet_kws_labels.txt
    FILEPATH)

USER_OPTION(${use_case}_AUDIO_RATE "Specify the target sampling rate. Default is 16000."
    16000
    STRING)

USER_OPTION(${use_case}_AUDIO_MONO "Specify if the audio needs to be converted to mono. Default is ON."
    ON
    BOOL)

USER_OPTION(${use_case}_AUDIO_OFFSET "Specify the offset to start reading after this time (in seconds). Default is 0."
    0
    STRING)

USER_OPTION(${use_case}_AUDIO_DURATION "Specify the audio duration to load (in seconds). If set to 0 the entire audio will be processed."
    0
    STRING)

USER_OPTION(${use_case}_AUDIO_RES_TYPE "Specify re-sampling algorithm to use. By default is 'kaiser_best'."
    kaiser_best
    STRING)

USER_OPTION(${use_case}_AUDIO_MIN_SAMPLES "Specify the minimum number of samples to use. By default is 16000, if the audio is shorter will be automatically padded."
    16000
    STRING)

USER_OPTION(${use_case}_MODEL_SCORE_THRESHOLD "Specify the score threshold [0.0, 1.0) that must be applied to the inference results for a label to be deemed valid."
    0.7
    STRING)

# Generate input files
generate_audio_code(${${use_case}_FILE_PATH} ${SRC_GEN_DIR} ${INC_GEN_DIR}
    ${${use_case}_AUDIO_RATE}
    ${${use_case}_AUDIO_MONO}
    ${${use_case}_AUDIO_OFFSET}
    ${${use_case}_AUDIO_DURATION}
    ${${use_case}_AUDIO_RES_TYPE}
    ${${use_case}_AUDIO_MIN_SAMPLES})

# Generate labels file
set(${use_case}_LABELS_CPP_FILE Labels)
generate_labels_code(
    INPUT           "${${use_case}_LABELS_TXT_FILE}"
    DESTINATION_SRC ${SRC_GEN_DIR}
    DESTINATION_HDR ${INC_GEN_DIR}
    OUTPUT_FILENAME "${${use_case}_LABELS_CPP_FILE}"
)

USER_OPTION(${use_case}_ACTIVATION_BUF_SZ "Activation buffer size for the chosen model"
    0x00100000
    STRING)


if (ETHOS_U_NPU_ENABLED)
    set(DEFAULT_MODEL_PATH      ${DEFAULT_MODEL_DIR}/kws_micronet_m_vela_${ETHOS_U_NPU_CONFIG_ID}.tflite)
else()
    set(DEFAULT_MODEL_PATH      ${DEFAULT_MODEL_DIR}/kws_micronet_m.tflite)
endif()

set(EXTRA_MODEL_CODE
    "/* Model parameters for ${use_case} */"
    "extern const int   g_FrameLength    = 640"
    "extern const int   g_FrameStride    = 320"
    "extern const float g_ScoreThreshold = ${${use_case}_MODEL_SCORE_THRESHOLD}"
    )

USER_OPTION(${use_case}_MODEL_TFLITE_PATH "NN models file to be used in the evaluation application. Model files must be in tflite format."
    ${DEFAULT_MODEL_PATH}
    FILEPATH)

# Generate model file
generate_tflite_code(
    MODEL_PATH ${${use_case}_MODEL_TFLITE_PATH}
    DESTINATION ${SRC_GEN_DIR}
    EXPRESSIONS ${EXTRA_MODEL_CODE}
    NAMESPACE   "arm" "app" "kws"
)