Lightweight Method for Measuring Frame Size in Unstructured Scenes

CHEN Yifan, FU Dongxiang, FU Yinghua, CHEN Jie

Control Engineering of China ›› 2023, Vol. 30 ›› Issue (11) : 1971-1978.

Control Engineering of China ›› 2023, Vol. 30 ›› Issue (11) : 1971-1978.

Lightweight Method for Measuring Frame Size in Unstructured Scenes

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Abstract

Since the traditional adaptive threshold segmentation method can not adapt the double threshold according to the thickness of the frame, the depth of the color and the complexity of the shooting background. Now we use the CenterNet model in deep learning and form the main feature extraction part of CenterNet model by stacking the bneck structure in MobileNetV3. The category information and position information of glasses and eyes are obtained from the pictures of users wearing glasses, and the corresponding size of frame measurement requirements is calculated through the relationship between position information. The whole process does not need the threshold segmentation of the image. Finally, we realize the fast measurement of the frame size in the unstructured scene. The experimental results show that the measurement results are not affected by the frame thickness and the shooting background, the detection accuracy is as high as 98.01%, FPS reaches 15 frames/s, the weight file after training is reduced from 152 MB to 47 MB, and has the stronger generalization ability. 

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CenterNet / object detection / attention mechanism / deep learning

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CHEN Yifan, FU Dongxiang, FU Yinghua, CHEN Jie. Lightweight Method for Measuring Frame Size in Unstructured Scenes[J]. Control Engineering of China, 2023, 30(11): 1971-1978

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