Laser & Optoelectronics Progress, Volume. 59, Issue 18, 1815011(2022)
Sorting and Detection of Impurity Glass Based on YOLOv4
Fig. 1. Impurity glass samples. (a) Crystal; (b) glue; (c) laminated; (d) bar
Fig. 2. Three labelling methods for bar and copying. (a) Horizontal box; (b) rotated box; (c) square boxes; (d) small object copying
Fig. 3. Relationship between clustering effect of Kmeans++and k
Fig. 4. Clustering result of Kmeans++ algorithm
Fig. 5. YOLOv4 network structure and adjustment
Fig. 6. Loss and AP of validation set during training
Fig. 7. Calculation method of occlusion proportion
Fig. 8. AP under different augmenting types before & after training
Fig. 9. Target pasting and detecting examples. (a)(b) Target attached with label; (c) interference; (d) occlusion
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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
Category: Machine Vision
Received: Jun. 15, 2021
Accepted: Aug. 10, 2021
Published Online: Aug. 29, 2022
The Author Email: Xu Zhenming (zmxu@sjtu.edu.cn)