![]() The experimental results show that the mean average precision of the YOLOv5s-Small-Target algorithm is 99.6%, 8.1% higher than that of the original YOLOv5s algorithm, the detection speed FPS is 80 f/s, and the model size is 18.7M. Finally, the post-processing method of non-extreme value suppression is improved, and the improved method DIoU-NMS improves the detection accuracy of small targets in complex backgrounds. ![]() Then, the convolutional attention module is introduced to the network model of YOLOv5s, which is used to enhance the defective region features and suppress the background region features, thus improving the detection accuracy of small targets. The SPP-D module is used to enhance the reuse rate of feature information in order to reduce the loss of feature information due to the maximum pooling of SPP modules. Secondly, the SPP-D (Spatial Pyramid Pooling-Defect) improved from the SPP module is proposed. Firstly, to solve the problems arising from the anchor frame generated by the network through K-means clustering, the dynamic anchor frame structure DAFS is introduced in the input stage. And Sony isn’t going to make another RX1R because that Zeiss lens went with Zeiss when the two companies split up.For the problem of low resolution of camera module lens surface defect image, small target and blurred defect details leading to low detection accuracy, a camera module lens surface defect detection algorithm YOLOv5s-Defect based on improved YOLOv5s is proposed. The Canon G1x Mk III was capable as a pocket camera with its zoom lens and APS-C sensor. Fujifilm had the XF10 and X70 that were pretty awesome. The Leica X2 was an absolutely fantastic camera that shot beautiful photos. OM System and Panasonic could probably make something like this.
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