Multi-scale small target equipment defect identification monitoring method
A defect recognition and small target technology, applied in neural learning methods, character and pattern recognition, image data processing, etc., can solve problems such as size, length and width uncertainty, target detection and recognition difficulties, etc.
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[0021] The technical solutions of the present invention will be further explained below in conjunction with the accompanying drawings.
[0022] In the target detection and recognition algorithm based on the regional convolutional neural network, the method of target detection is performed by classifying the candidate region (Region Proposal) + convolutional neural network (CNN), that is, to find out the possible position of the target in the picture in advance, That is, the candidate area, and then use the convolutional neural network to extract features.
[0023] The present invention proposes a ResNet50 variant network structure design method that can enhance multi-scale small target convolution feature extraction. By increasing the width of the network, not only can each layer in the network learn sparse or non-sparse features, but also increase the adaptability of the network to multi-scale small targets. At the same time, the continuous use of two 3X3 convolution operati...
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