Pedestrian re-identification model optimization processing method and device and computer equipment

Abstract

The invention relates to a pedestrian re-identification model optimization processing method and device and computer equipment. The method comprises the following steps: performing network layer deletion on an original pedestrian re-identification model corresponding to a model identifier and modifying a convolution stride of a specified network layer to obtain a backbone network model; performingfeature extraction on each sample image in the sample data set through a backbone network model to obtain initial feature data; performing batch standardization processing on the initial feature datato obtain a plurality of feature maps; constructing a plurality of attention branch network models according to the plurality of feature maps and a preset network layer of the backbone network model;and combining the backbone network model and the plurality of attention branch network models to obtain an optimized pedestrian re-identification model, training the optimized pedestrian re-identification model through the sample data set and the plurality of loss function relationships until a preset condition is met, stopping model training, and outputting the trained pedestrian re-identification model. By adopting the method, computing resources can be saved.

Description

technical field [0001] The present application relates to the field of computer technology, in particular to a pedestrian re-identification model optimization processing method, device, computer equipment and storage medium. Background technique [0002] Person Reidentification (ReID for short) refers to the technology of judging whether a specific pedestrian exists in the images captured by cameras in two different shooting areas. Pedestrian re-identification technology is widely used in security, criminal investigation, smart city and other fields. In the traditional way, pedestrian re-identification is realized by means of component-based pedestrian re-identification model for feature extraction and measurement method for similarity measurement. [0003] However, not all the part features extracted by the traditional part-based person re-identification model are effective, and some features are useless for person re-identification, which leads to the waste of computing r...

AI Technical Summary

Problems solved by technology

[0003] However, not all the part features extracted by the traditional part-based person re-identification model are effective, and some features are useless for person re-identification, which leads to the waste of computing resources

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