File size: 6,762 Bytes
b7b614e |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 |
/*
* Copyright (c) 2022 EdgeImpulse Inc.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing,
* software distributed under the License 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 and limitations under the License.
*
* SPDX-License-Identifier: Apache-2.0
*/
#ifndef EI_PERFORMANCE_CALIBRATION_H
#define EI_PERFORMANCE_CALIBRATION_H
/* Includes ---------------------------------------------------------------- */
#include "edge-impulse-sdk/dsp/numpy_types.h"
#include "edge-impulse-sdk/dsp/returntypes.hpp"
#include "ei_model_types.h"
/* Private const types ----------------------------------------------------- */
#define MEM_ERROR "ERR: Failed to allocate memory for performance calibration\r\n"
#define EI_PC_RET_NO_EVENT_DETECTED -1
#define EI_PC_RET_MEMORY_ERROR -2
class RecognizeEvents {
public:
RecognizeEvents(
const ei_model_performance_calibration_t *config,
uint32_t n_labels,
uint32_t sample_length,
float sample_interval_ms)
{
this->_score_array = nullptr;
this->_running_sum = nullptr;
this->_detection_threshold = config->detection_threshold;
this->_suppression_flags = config->suppression_flags;
this->_should_boost = config->is_configured;
this->_n_labels = n_labels;
/* Determine sample length in ms */
float sample_length_ms = (static_cast<float>(sample_length) * sample_interval_ms);
/* Calculate number of inference runs needed for the duration window */
this->_average_window_duration_samples =
(config->average_window_duration_ms < static_cast<uint32_t>(sample_length_ms))
? 1
: static_cast<uint32_t>(static_cast<float>(config->average_window_duration_ms) / sample_length_ms);
/* Calculate number of inference runs for suppression */
this->_suppression_samples = (config->suppression_ms < static_cast<uint32_t>(sample_length_ms))
? 0
: static_cast<uint32_t>(static_cast<float>(config->suppression_ms) / sample_length_ms);
/* Detection threshold should be high enough to only classifiy 1 possibly output */
if (this->_detection_threshold <= (1.f / this->_n_labels)) {
ei_printf("ERR: Classifier detection threshold too low\r\n");
return;
}
/* Array to store scores for all labels */
this->_score_array = (float *)ei_malloc(
this->_average_window_duration_samples * this->_n_labels * sizeof(float));
if (this->_score_array == NULL) {
ei_printf(MEM_ERROR);
return;
}
for (uint32_t i = 0; i < this->_average_window_duration_samples * this->_n_labels; i++) {
this->_score_array[i] = 0.f;
}
this->_score_idx = 0;
/* Running sum for all labels */
this->_running_sum = (float *)ei_malloc(this->_n_labels * sizeof(float));
if (this->_running_sum != NULL) {
for (uint32_t i = 0; i < this->_n_labels; i++) {
this->_running_sum[i] = 0.f;
}
}
else {
ei_printf(MEM_ERROR);
return;
}
this->_suppression_count = this->_suppression_samples;
this->_n_scores_in_array = 0;
}
~RecognizeEvents()
{
if (this->_score_array) {
ei_free((void *)this->_score_array);
}
if (this->_running_sum) {
ei_free((void *)this->_running_sum);
}
}
bool should_boost()
{
return this->_should_boost;
}
int32_t trigger(ei_impulse_result_classification_t *scores)
{
int32_t recognized_event = EI_PC_RET_NO_EVENT_DETECTED;
float current_top_score = 0.f;
uint32_t current_top_index = 0;
/* Check pointers */
if (this->_score_array == NULL || this->_running_sum == NULL) {
return EI_PC_RET_MEMORY_ERROR;
}
/* Update the score array and running sum */
for (uint32_t i = 0; i < this->_n_labels; i++) {
this->_running_sum[i] -= this->_score_array[(this->_score_idx * this->_n_labels) + i];
this->_running_sum[i] += scores[i].value;
this->_score_array[(this->_score_idx * this->_n_labels) + i] = scores[i].value;
}
if (++this->_score_idx >= this->_average_window_duration_samples) {
this->_score_idx = 0;
}
/* Number of samples to average, increases until the buffer is full */
if (this->_n_scores_in_array < this->_average_window_duration_samples) {
this->_n_scores_in_array++;
}
/* Average data and place in scores & determine top score */
for (uint32_t i = 0; i < this->_n_labels; i++) {
scores[i].value = this->_running_sum[i] / this->_n_scores_in_array;
if (scores[i].value > current_top_score) {
if(this->_suppression_flags == 0) {
current_top_score = scores[i].value;
current_top_index = i;
}
else if(this->_suppression_flags & (1 << i)) {
current_top_score = scores[i].value;
current_top_index = i;
}
}
}
/* Check threshold, suppression */
if (this->_suppression_samples && this->_suppression_count < this->_suppression_samples) {
this->_suppression_count++;
}
else {
if (current_top_score >= this->_detection_threshold) {
recognized_event = current_top_index;
if (this->_suppression_flags & (1 << current_top_index)) {
this->_suppression_count = 0;
}
}
}
return recognized_event;
};
void *operator new(size_t size)
{
void *p = ei_malloc(size);
return p;
}
void operator delete(void *p)
{
ei_free(p);
}
private:
uint32_t _average_window_duration_samples;
float _detection_threshold;
bool _should_boost;
uint32_t _suppression_samples;
uint32_t _suppression_count;
uint32_t _suppression_flags;
uint32_t _n_labels;
float *_score_array;
uint32_t _score_idx;
float *_running_sum;
uint32_t _n_scores_in_array;
};
#endif //EI_PERFORMANCE_CALIBRATION
|