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Allow filtering with a list of labels.
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@ -137,6 +137,9 @@ STATIC mp_obj_t py_micro_speech_listen(uint n_args, const mp_obj_t *args, mp_map
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py_tf_model_obj_t *arg_model = args[1];
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float threshold = py_helper_keyword_float(n_args, args, 2, kw_args, MP_OBJ_NEW_QSTR(MP_QSTR_threshold), 0.9f);
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uint32_t timeout = py_helper_keyword_int(n_args, args, 3, kw_args, MP_OBJ_NEW_QSTR(MP_QSTR_timeout), 1000);
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size_t labels_filter_len = 0;
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mp_obj_t *labels_filter = py_helper_keyword_iterable(n_args, args,
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4, kw_args, MP_OBJ_NEW_QSTR(MP_QSTR_filter), &labels_filter_len);
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fb_alloc_mark();
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py_tf_alloc_putchar_buffer();
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@ -201,6 +204,20 @@ STATIC mp_obj_t py_micro_speech_listen(uint n_args, const mp_obj_t *args, mp_map
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// If the highest average score is higher than the threshold return a command.
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if (average_scores[highest_index] / (kAverageWindowSamples * 255.0f) > threshold) {
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bool command_filtered = (labels_filter != NULL);
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// If a list of labels is provided to filter commands, check if the
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// detected command is in that list, otherwise continue the detection.
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if (labels_filter != NULL) {
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for (int i=0; i<labels_filter_len; i++) {
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if (highest_index == mp_obj_get_int(labels_filter[i])) {
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command_filtered = false;
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break;
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}
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}
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}
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if (command_filtered == false) {
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return_label = highest_index;
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// Clear spectrogram
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__disable_irq();
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@ -210,6 +227,7 @@ STATIC mp_obj_t py_micro_speech_listen(uint n_args, const mp_obj_t *args, mp_map
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break;
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}
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}
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}
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results_count = (results_count + 1) % kAverageWindowSamples;
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}
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@ -1283,3 +1283,4 @@ Q(stop_streaming)
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Q(micro_speech)
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Q(MicroSpeech)
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Q(audio_callback)
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Q(filter)
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