Fig. 1. YOLOv3 network structure diagram. (a) Overall structure diagram of YOLOv3 network; (b) structure diagram of set conv layer and YOLO layer

Fig. 2. Dataset analysis results. (a) Target width and height distribution of the dataset; (b) k-means clustering analysis result

Fig. 3. Average IOU. (a) Relationship between Avg IOU and Mean IOU; (b) Avg IOU of k-means and k-thresh

Fig. 4. Image of object detection

Fig. 5. Video-YOLOv3 network structure. (a) Overall structure diagram of video-YOLOv3 network; (b) structure diagram of splice-conv module

Fig. 6. Comparison of network structure. (a) YOLOv3 network structure; (b) video-YOLOv3 network structure

Fig. 7. Flow chart of predicting new image

Fig. 8. Loss function and Avg IOU curve of video-YOLOv3. (a) Loss function curve; (b) Avg IOU curve

Fig. 9. Comparison of test results. (a) YOLOv3 test results; (b) video-YOLOv3 test results

Fig. 10. Comparison of real-time detection. (a) Detection every 5 frames; (b) detection every 6 frames; (c) detection every 7 frames