Methods and systems for performing ssd post processing

A computer system comprising a neural network accelerator including an embedded micro-controller, the micro-controller configured to perform post processing on data generated by processing an image in accordance with a single-shot detector (SSD) neural network, the data including information identifying a plurality of bounding boxes in the image and a confidence score for a class for each bounding box of the plurality of bounding boxes, the post processing comprising:

• for each bounding box of the plurality of bounding boxes:
• (f) determining if the confidence score for the bounding box meets a confidence score threshold,
• (g) in response to determining that the confidence score for the bounding box meets the confidence score threshold, determining if less than a maximum number of bounding boxes entries have been stored in memory, each bounding box entry comprising (i) information identifying a bounding box of the plurality of bounding boxes and (ii) the confidence score of the identified bounding box,
• (h) in response to determining that less than the maximum number of bounding box entries have been stored in memory, adding a new bounding box entry for the bounding box,
• (i) in response to determining that the maximum number of bounding box entries have been stored in memory, determining if the confidence score for the bounding box is greater than a lowest confidence score of the bounding box entries, and
• (j) in response to determining that the confidence score for the bounding box is greater than the lowest confidence score of the bounding box entries, removing the bounding box entry with the lowest confidence score, and adding a new bounding box entry for the bounding box;
• and
• once (a) to (e) have been completed for each bounding box of the plurality of bounding boxes, outputting a sorted list of the bounding box entries based on the confidence scores.

A non-transitory computer readable storage medium having stored thereon computer readable instructions that, when executed at a computer system, cause the computer system to perform post processing on data generated by processing an image in accordance with a single-shot detector (SSD) neural network, the data comprising information identifying a plurality of bounding boxes in the image and a confidence score for a class for each bounding box of the plurality of bounding boxes, the post processing comprising:

• for each bounding box of the plurality of bounding boxes:
• (a) determining if the confidence score for the bounding box meets a confidence score threshold,
• (b) in response to determining that the confidence score for the bounding box meets the confidence score threshold, determining if less than a maximum number of bounding boxes entries have been stored in memory, each bounding box entry comprising (i) information identifying a bounding box of the plurality of bounding boxes and (ii) the confidence score of the identified bounding box,
• (c) in response to determining that less than the maximum number of bounding box entries have been stored in memory, adding a new bounding box entry for the bounding box,
• (d) in response to determining that the maximum number of bounding box entries have been stored in memory, determining if the confidence score for the bounding box is greater than a lowest confidence score of the bounding box entries, and
• (e) in response to determining that the confidence score for the bounding box is greater than the lowest confidence score of the bounding box entries, removing the bounding box entry with the lowest confidence score, and adding a new bounding box entry for the bounding box;
• and
• once (a) to (e) have been completed for each bounding box of the plurality of bounding boxes, outputting a sorted list of the bounding box entries based on the confidence scores.