METHOD FOR TRANING A PEDESTRIAN DETECTION MODEL, PEDESTRIAN DETECTION METHOD, ELECTRONIC DEVICE, AND COMPUTER-READABLE STORAGE MEDIUM
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United States of America
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Issued Date -
Dec 12, 2024
app pub date -
Aug 21, 2024
filing date -
Aug 21, 2024
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Abstract
This application provides a pedestrian detection method, a method for training a pedestrian detection model, an electronic device, and a computer-readable storage medium. The pedestrian detection method includes: acquiring an image to be recognized; inputting the image into a multi-task recognition network to acquire a predicted pedestrian location and a predicted pedestrian attribute in parallel; and correlating the predicted pedestrian location and the predicted pedestrian attribute to output a detection result. The pedestrian detection method utilizes the multi-task recognition network to acquire the predicted pedestrian location and the predicted pedestrian attribute in parallel, and the detection result containing the predicted pedestrian location and the predicted pedestrian attribute is acquired only by inputting the image to be recognized once, thereby improving detection efficiency, quickly obtaining the detection result and saving device resources.
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