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* Copyright (c) 2026 EdgeImpulse Inc.
*
* Generated by Edge Impulse and licensed under the applicable Edge Impulse
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* (https://edgeimpulse.com/legal/terms-of-service) or Enterprise Terms of
* Service (https://edgeimpulse.com/legal/enterprise-terms-of-service),
* according to your product plan subscription (the “License”).
*
* This software, documentation and other associated files (collectively referred
* to as the “Software”) is a single SDK variation generated by the Edge Impulse
* platform and requires an active paid Edge Impulse subscription to use this
* Software for any purpose.
*
* You may NOT use this Software unless you have an active Edge Impulse subscription
* that meets the eligibility requirements for the applicable License, subject to
* your full and continued compliance with the terms and conditions of the License,
* including without limitation any usage restrictions under the applicable License.
*
* If you do not have an active Edge Impulse product plan subscription, or if use
* of this Software exceeds the usage limitations of your Edge Impulse product plan
* subscription, you are not permitted to use this Software and must immediately
* delete and erase all copies of this Software within your control or possession.
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* Unless required by applicable law or agreed to in writing, the Software is
* distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND,
* either express or implied. See the License for the specific language governing
* permissions, disclaimers and limitations under the License.
*/
#ifndef _EI_CLASSIFIER_MODEL_VARIABLES_H_
#define _EI_CLASSIFIER_MODEL_VARIABLES_H_
/**
* @file
* Auto-generated complete impulse definitions. The ei_impulse_handle_t should
* be passed to ei_run_classifier() function to use this specific impulse.
* This file should only be included in ei_run_classifier.h file.
*/
#include <stdint.h>
#include "model_metadata.h"
#include "tflite-model/tflite_learn_1052106_5_compiled.h"
#include "edge-impulse-sdk/classifier/ei_model_types.h"
#include "edge-impulse-sdk/classifier/inferencing_engines/engines.h"
#include "edge-impulse-sdk/classifier/postprocessing/ei_postprocessing_common.h"
const char* ei_classifier_inferencing_categories_1052106_1[] = { "background_noise", "hey_edge", "unknown" };
ei_dsp_named_axis_t ei_dsp_config_1052106_6_named_axes[] = {
{ .name = "Signal", .axis = 0 }
};
size_t ei_dsp_config_1052106_6_named_axes_size = 1;
EI_CLASSIFIER_DSP_AXES_INDEX_TYPE ei_dsp_config_1052106_6_axes[] = { 0 };
const uint32_t ei_dsp_config_1052106_6_axes_size = 1;
ei_dsp_config_mfe_t ei_dsp_config_1052106_6 = {
6, // uint32_t blockId
4, // int implementationVersion
1, // int length of axes
ei_dsp_config_1052106_6_named_axes, // named axes
ei_dsp_config_1052106_6_named_axes_size, // size of the named axes array
0.02f, // float frame_length
0.01f, // float frame_stride
40, // int num_filters
256, // int fft_length
0, // int low_frequency
0, // int high_frequency
101, // int win_size
-52 // int noise_floor_db
};
const uint8_t ei_dsp_blocks_1052106_1_size = 1;
ei_model_dsp_t ei_dsp_blocks_1052106_1[ei_dsp_blocks_1052106_1_size] = {
{ // DSP block 6
6,
3960, // output size
&extract_mfe_features, // DSP function pointer
(void*)&ei_dsp_config_1052106_6, // pointer to config struct
ei_dsp_config_1052106_6_axes, // array of offsets into the input stream, one for each axis
ei_dsp_config_1052106_6_axes_size, // number of axes
1, // version
nullptr, // factory function
nullptr, // data normalization config
}
};
const ei_config_tflite_eon_graph_t ei_config_graph_1052106_5 = {
.implementation_version = 1,
.model_init = &tflite_learn_1052106_5_init,
.model_invoke = &tflite_learn_1052106_5_invoke,
.model_reset = &tflite_learn_1052106_5_reset,
.model_input = &tflite_learn_1052106_5_input,
.model_output = &tflite_learn_1052106_5_output,
};
const uint8_t ei_output_tensors_indices_1052106_5[1] = { 0 };
const uint8_t ei_output_tensors_size_1052106_5 = 1;
ei_learning_block_config_tflite_graph_t ei_learning_block_config_1052106_5 = {
.implementation_version = 1,
.block_id = 5,
.output_tensors_indices = ei_output_tensors_indices_1052106_5,
.output_tensors_size = ei_output_tensors_size_1052106_5,
.quantized = 1,
.compiled = 1,
.graph_config = (void*)&ei_config_graph_1052106_5,
.dequantize_output = 0,
};
const uint8_t ei_learning_blocks_1052106_1_size = 1;
const uint32_t ei_learning_block_1052106_5_inputs[1] = { 6 };
const uint8_t ei_learning_block_1052106_5_inputs_size = 1;
const ei_learning_block_t ei_learning_blocks_1052106_1[ei_learning_blocks_1052106_1_size] = {
{
5,
&run_nn_inference,
(void*)&ei_learning_block_config_1052106_5,
EI_CLASSIFIER_IMAGE_SCALING_NONE,
ei_learning_block_1052106_5_inputs,
ei_learning_block_1052106_5_inputs_size,
},
};
ei_fill_result_classification_i8_config_t ei_fill_result_classification_i8_config_1052106_5 = {
.zero_point = -128,
.scale = 0.00390625
};
const size_t ei_postprocessing_blocks_1052106_1_size = 1;
const ei_postprocessing_block_t ei_postprocessing_blocks_1052106_1[ei_postprocessing_blocks_1052106_1_size] = {
{
.block_id = 5,
.type = EI_CLASSIFIER_MODE_CLASSIFICATION,
.init_fn = NULL,
.deinit_fn = NULL,
.postprocess_fn = &process_classification_i8,
.display_fn = NULL,
.config = (void*)&ei_fill_result_classification_i8_config_1052106_5,
.input_block_id = 5
},
};
const uint8_t freeform_outputs_1052106_1_size = 0;
uint32_t *freeform_outputs_1052106_1 = nullptr;
const ei_impulse_t impulse_1052106_1 = {
.project_id = 1052106,
.project_owner = "Eoin",
.project_name = "Hey Edge - Wake Word / Keyword Spotting (KWS) Model",
.impulse_id = 1,
.impulse_name = "Impulse #1",
.deploy_version = 1,
.nn_input_frame_size = 3960,
.raw_sample_count = 16000,
.raw_samples_per_frame = 1,
.dsp_input_frame_size = 16000 * 1,
.input_width = 0,
.input_height = 0,
.input_frames = 0,
.interval_ms = 0.0625,
.frequency = 16000,
.dsp_blocks_size = ei_dsp_blocks_1052106_1_size,
.dsp_blocks = ei_dsp_blocks_1052106_1,
.learning_blocks_size = ei_learning_blocks_1052106_1_size,
.learning_blocks = ei_learning_blocks_1052106_1,
.postprocessing_blocks_size = ei_postprocessing_blocks_1052106_1_size,
.postprocessing_blocks = ei_postprocessing_blocks_1052106_1,
.output_tensors_size = 1,
.inferencing_engine = EI_CLASSIFIER_TFLITE,
.sensor = EI_CLASSIFIER_SENSOR_MICROPHONE,
.fusion_string = "audio",
.slice_size = (16000/4),
.slices_per_model_window = 4,
.has_anomaly = EI_ANOMALY_TYPE_UNKNOWN,
.label_count = 3,
.categories = ei_classifier_inferencing_categories_1052106_1,
.results_type = EI_CLASSIFIER_TYPE_CLASSIFICATION,
.freeform_outputs_size = freeform_outputs_1052106_1_size,
.freeform_outputs = freeform_outputs_1052106_1
};
ei_impulse_handle_t impulse_handle_1052106_1 = ei_impulse_handle_t( &impulse_1052106_1 );
ei_impulse_handle_t& ei_default_impulse = impulse_handle_1052106_1;
constexpr auto& ei_classifier_inferencing_categories = ei_classifier_inferencing_categories_1052106_1;
const auto ei_dsp_blocks_size = ei_dsp_blocks_1052106_1_size;
ei_model_dsp_t *ei_dsp_blocks = ei_dsp_blocks_1052106_1;
#endif // _EI_CLASSIFIER_MODEL_VARIABLES_H_
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