2828
2929/**
3030 * @defgroup ei_structs Structs
31- *
31+ *
3232 * Public-facing structs for Edge Impulse C++ SDK.
33- *
33+ *
3434 * @addtogroup ei_structs
3535 * @{
3636 */
3737
3838/**
3939 * @brief Holds the output of inference, anomaly results, and timing information.
40- *
40+ *
4141 * `ei_impulse_result_t` holds the output of `run_classifier()`. If object detection is
4242 * enabled, then the output results is a
4343 * pointer to an array of bounding boxes of size `bounding_boxes_count`, as given by
4444 * [ei_impulse_result_bounding_box_t](https://docs.edgeimpulse.com/reference/ei_impulse_result_bounding_box_t).
4545 * Otherwise, results are stored as an array of classification scores, as given by
4646 * [ei_impulse_result_classification_t](https://docs.edgeimpulse.com/reference/ei_impulse_result_classification_t).
47- *
47+ *
4848 * If anomaly detection is enabled (e.g. `EI_CLASSIFIER_HAS_ANOMALY == 1`), then the
4949 * anomaly score will be stored as a floating point value in `anomaly`.
50- *
51- * Timing information is stored in an
50+ *
51+ * Timing information is stored in an
5252 * [ei_impulse_result_timing_t](https://docs.edgeimpulse.com/reference/ei_impulse_result_timing_t)
5353 * struct.
54- *
54+ *
5555 * **Source**: [classifier/ei_classifier_types.h](https://github.com/edgeimpulse/inferencing-sdk-cpp/blob/master/classifier/ei_classifier_types.h)
56- *
56+ *
5757 * **Example**: [standalone inferencing main.cpp](https://github.com/edgeimpulse/example-standalone-inferencing/blob/master/source/main.cpp)
5858 */
5959typedef struct {
@@ -70,16 +70,16 @@ typedef struct {
7070
7171/**
7272 * @brief Holds the output of visual anomaly detection (FOMO-AD)
73- *
73+ *
7474 * If visual anomaly detection is enabled (e.g. `EI_CLASSIFIER_HAS_VISUAL_ANOMALY ==
75- * 1`), then the output results will be a pointer to an array of grid cells of size
76- * `visual_ad_count`, as given by
75+ * 1`), then the output results will be a pointer to an array of grid cells of size
76+ * `visual_ad_count`, as given by
7777 * [ei_impulse_result_bounding_box_t](https://docs.edgeimpulse.com/reference/ei_impulse_result_bounding_box_t).
78- *
78+ *
7979 * The visual anomaly detection result is stored in `visual_ad_result`, which contains the mean and max values of the grid cells.
80- *
80+ *
8181 * **Source**: [classifier/ei_classifier_types.h](https://github.com/edgeimpulse/inferencing-sdk-cpp/blob/master/classifier/ei_classifier_types.h)
82- *
82+ *
8383 * **Example**: [standalone inferencing main.cpp](https://github.com/edgeimpulse/example-standalone-inferencing/blob/master/source/main.cpp)
8484*/
8585typedef struct {
@@ -96,7 +96,7 @@ typedef struct {
9696
9797/**
9898 * @brief Holds information for a single bounding box.
99- *
99+ *
100100 * If object detection is enabled (i.e. `EI_CLASSIFIER_OBJECT_DETECTION == 1`), then
101101 * inference results will be one or more bounding boxes. The bounding boxes with the
102102 * highest confidence scores (assuming those scores are equal to or greater than
@@ -105,20 +105,20 @@ typedef struct {
105105 * least `EI_CLASSIFIER_OBJECT_DETECTION_COUNT`. The exact number of bounding boxes
106106 * is stored in `bounding_boxes_count` field of [ei_impulse_result_t]/C++ Inference
107107 * SDK Library/structs/ei_impulse_result_t.md).
108- *
109- * A bounding box is a rectangle that ideally surrounds the identified object. The
108+ *
109+ * A bounding box is a rectangle that ideally surrounds the identified object. The
110110 * (`x`, `y`) coordinates in the struct identify the top-left corner of the box.
111111 * `label` is the predicted class with the highest confidence score. `value` is the
112112 * confidence score between [0.0..1.0] of the given `label`.
113- *
113+ *
114114 * **Source**: [classifier/ei_classifier_types.h](https://github.com/edgeimpulse/inferencing-sdk-cpp/blob/master/classifier/ei_classifier_types.h)
115- *
115+ *
116116 * **Example**: [standalone inferencing main.cpp](https://github.com/edgeimpulse/example-standalone-inferencing/blob/master/source/main.cpp)
117117*/
118118typedef struct {
119119 /**
120- * Pointer to a character array describing the associated class of the given
121- * bounding box. Taken from one of the elements of
120+ * Pointer to a character array describing the associated class of the given
121+ * bounding box. Taken from one of the elements of
122122 * `ei_classifier_inferencing_categories[]`.
123123 */
124124 const char * label ;
@@ -151,19 +151,19 @@ typedef struct {
151151
152152/**
153153 * @brief Holds timing information about the processing (DSP) and inference blocks.
154- *
154+ *
155155 * Records timing information during the execution of the preprocessing (DSP) and
156156 * inference blocks. Can be used to determine if inference will meet timing requirements
157157 * on your particular platform.
158- *
158+ *
159159 * **Source**: [classifier/ei_classifier_types.h](https://github.com/edgeimpulse/inferencing-sdk-cpp/blob/master/classifier/ei_classifier_types.h)
160- *
160+ *
161161 * **Example**: [standalone inferencing main.cpp](https://github.com/edgeimpulse/example-standalone-inferencing/blob/master/source/main.cpp)
162162 */
163163typedef struct {
164164 /**
165165 * If using `run_impulse()` to perform sampling and inference, it is the amount of
166- * time (in milliseconds) it took to fetch raw samples. Not used for
166+ * time (in milliseconds) it took to fetch raw samples. Not used for
167167 * `run_classifier()`.
168168 */
169169 int sampling ;
@@ -203,23 +203,23 @@ typedef struct {
203203
204204/**
205205 * @brief Holds the output of inference, anomaly results, and timing information.
206- *
206+ *
207207 * `ei_impulse_result_t` holds the output of `run_classifier()`. If object detection is
208208 * enabled (e.g. `EI_CLASSIFIER_OBJECT_DETECTION == 1`), then the output results is a
209209 * pointer to an array of bounding boxes of size `bounding_boxes_count`, as given by
210- * [ei_impulse_result_bounding_box_t](https://docs.edgeimpulse.com/reference/ei_impulse_result_bounding_box_t).
210+ * [ei_impulse_result_bounding_box_t](https://docs.edgeimpulse.com/reference/ei_impulse_result_bounding_box_t).
211211 * Otherwise, results are stored as an array of classification scores, as given by
212212 * [ei_impulse_result_classification_t](https://docs.edgeimpulse.com/reference/ei_impulse_result_classification_t).
213- *
213+ *
214214 * If anomaly detection is enabled (e.g. `EI_CLASSIFIER_HAS_ANOMALY == 1`), then the
215215 * anomaly score will be stored as a floating point value in `anomaly`.
216- *
217- * Timing information is stored in an
218- * [ei_impulse_result_timing_t](https://docs.edgeimpulse.com/reference/ei_impulse_result_timing_t)
216+ *
217+ * Timing information is stored in an
218+ * [ei_impulse_result_timing_t](https://docs.edgeimpulse.com/reference/ei_impulse_result_timing_t)
219219 * struct.
220- *
220+ *
221221 * **Source**: [classifier/ei_classifier_types.h](https://github.com/edgeimpulse/inferencing-sdk-cpp/blob/master/classifier/ei_classifier_types.h)
222- *
222+ *
223223 * **Example**: [standalone inferencing main.cpp](https://github.com/edgeimpulse/example-standalone-inferencing/blob/master/source/main.cpp)
224224 */
225225typedef struct {
@@ -238,13 +238,18 @@ typedef struct {
238238 * Array of classification results. If object detection is enabled, this will be
239239 * empty.
240240 */
241+ #ifdef EI_DSP_RESULT_OVERRIDE
242+ // For CI only. We will create the array to hold results
243+ ei_impulse_result_classification_t * classification ;
244+ #else
241245#if EI_CLASSIFIER_LABEL_COUNT == 0
242246 // EI_CLASSIFIER_LABEL_COUNT can be 0 for anomaly only models
243247 // to prevent compiler warnings/errors, we need to have at least one element
244248 ei_impulse_result_classification_t classification [1 ];
245249#else
246250 ei_impulse_result_classification_t classification [EI_CLASSIFIER_LABEL_COUNT ];
247- #endif
251+ #endif // EI_CLASSIFIER_LABEL_COUNT == 0
252+ #endif // EI_DSP_RESULT_OVERRIDE else
248253
249254 /**
250255 * Anomaly score. If anomaly detection is not enabled, this will be 0. A higher
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