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Journals >
Laser & Optoelectronics Progress >
Volume 59 >
Issue 18 >
Page 1815011 > Article
Laser & Optoelectronics Progress
Vol. 59, Issue 18, 1815011 (2022)
Sorting and Detection of Impurity Glass Based on YOLOv4
Bo Yang
1
, Zhenming Xu
1、*
, and Jianxin Liu
2
Author Affiliations
1
China-UK Low Carbon College, Shanghai Jiao Tong University, Shanghai 201306, China
2
Nanjing Institute of Electronic Technology, Nanjing 210039, Jiangsu , China
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DOI:
10.3788/LOP202259.1815011
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Bo Yang, Zhenming Xu, Jianxin Liu. Sorting and Detection of Impurity Glass Based on YOLOv4[J]. Laser & Optoelectronics Progress, 2022, 59(18): 1815011
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Fig. 1.
Impurity glass samples. (a) Crystal; (b) glue; (c) laminated; (d) bar
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Fig. 2.
Three labelling methods for bar and copying. (a) Horizontal box; (b) rotated box; (c) square boxes; (d) small object copying
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Fig. 3.
Relationship between clustering effect of Kmeans++and
k
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Fig. 4.
Clustering result of Kmeans++ algorithm
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Fig. 5.
YOLOv4 network structure and adjustment
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Fig. 6.
Loss and AP of validation set during training
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Fig. 7.
Calculation method of occlusion proportion
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Fig. 8.
AP under different augmenting types before & after training
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Fig. 9.
Target pasting and detecting examples. (a)(b) Target attached with label; (c) interference; (d) occlusion
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Method
AP
mAP
Bar
Crystal
Glue
Laminated
YOLOv4
88.77
97.31
98.96
98.04
95.76
YOLOv4+
93.96
98.26
99.97
98.04
97.55
YOLOV4_t+
95.47
98.98
99.07
97.99
97.88
Table 1.
Accuracy comparison of different models in testset
Type of boxes
Bar
Crystal
Glue
Laminated
GT
262
117
110
102
TP
255
116
109
99
FP
19
9
22
21
Table 2.
Positive and negative sample distribution
Parameter
YOLOv4
YOLOv3
YOLOv4-tiny
YOLOv3-tiny
YOLOv4_t
mAP
0.96
0.92
0.88
0.86
0.98
Speed/(frame·s
-1
)
40.54
38.51
118.67
158.25
42.82
Multi-Add/10
9
29.78
32.66
3.39
28.96
Params/10
6
255.82
246.16
23.52
17.90
176.22
Table 3.
Parameter size and detection performance of typical networks
Abstract
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References (19)
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Bo Yang, Zhenming Xu, Jianxin Liu. Sorting and Detection of Impurity Glass Based on YOLOv4[J]. Laser & Optoelectronics Progress, 2022, 59(18): 1815011
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Paper Information
Category: Machine Vision
Received: Jun. 15, 2021
Accepted: Aug. 10, 2021
Published Online: Sep. 25, 2022
The Author Email: Xu Zhenming (zmxu@sjtu.edu.cn)
DOI:
10.3788/LOP202259.1815011
Recommended Topics
laser devices and laser physics
Lasers and Laser Optics
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Instrumentation, Measurement and Metrology
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