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Journals >
Laser & Optoelectronics Progress >
Volume 58 >
Issue 8 >
Page 0810019 > Article
Laser & Optoelectronics Progress
Vol. 58, Issue 8, 0810019 (2021)
Mask-Wearing Detection Method Based on YOLO-Mask
Chengshuo Cao and Jie Yuan
*
Author Affiliations
School of Electrical Engineering, Xinjiang University, Urumchi, Xinjiang 830047, China
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DOI:
10.3788/LOP202158.0810019
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Chengshuo Cao, Jie Yuan. Mask-Wearing Detection Method Based on YOLO-Mask[J]. Laser & Optoelectronics Progress, 2021, 58(8): 0810019
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Fig. 1.
YOLOv3 network structure diagram
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Fig. 2.
Residual unit and SE-residual unit
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Fig. 3.
Improved feature fusion network structure. (a) FPN; (b) bottom-up path aggregation
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Fig. 4.
YOLO-Mask algorithm network structure
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Fig. 5.
Example of dataset images
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Fig. 6.
Comparison of detection results of different algorithms. (a)(b)(c) SSD detection results; (d)(e)(f) Faster R-CNN detection results; (g)(h)(i) YOLOv3 detection results; (j)(k)(l) YOLO-Mask detection results
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Fig. 7.
Single target
P-R
curves of YOLO-Mask algorithm. (a) Right_mask; (b) wrong_mask; (c) no_mask
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Batch size
Factor
Patience
Learn rate
4
0.5
2
0.001
Table 1.
Selection of key parameters
Method
AP
mAP
Right_mask
Wrong_mask
No_mask
SSD
67.33
73.34
65.17
68.61
Faster R-CNN
75.78
71.27
72.94
73.33
YOLOv3
89.81
79.97
87.34
85.71
YOLO-Mask
94.30
91.13
94.56
93.33
Table 2.
Comparison of performance indicators of different detection algorithms unit: %
Abstract
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References (19)
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Chengshuo Cao, Jie Yuan. Mask-Wearing Detection Method Based on YOLO-Mask[J]. Laser & Optoelectronics Progress, 2021, 58(8): 0810019
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Paper Information
Category: Image Processing
Received: Aug. 10, 2020
Accepted: Sep. 20, 2020
Published Online: Apr. 8, 2021
The Author Email: Yuan Jie (yuanjie222@126.com)
DOI:
10.3788/LOP202158.0810019
Recommended Topics
laser devices and laser physics
Lasers and Laser Optics
Laser physics
laser manufacturing
Instrumentation, Measurement and Metrology
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