Cloth defect detection method and system based on deep neural network
A deep neural network and detection method technology, applied in the field of machine vision and pattern recognition, can solve the problems of lack of versatility, poor real-time performance, and low accuracy, and achieve the effect of accelerating reasoning speed, high precision, and reducing gradient disappearance
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[0044] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention. In addition, the technical features involved in the various embodiments of the present invention described below can be combined with each other as long as they do not constitute a conflict with each other.
[0045] Such as figure 1 As shown, a cloth defect detection method based on deep neural network, including:
[0046] (1) Establish a deep neural network algorithm model for cloth defect detection;
[0047] (2) Pre-train the established neural network model on the COCO dataset, and use the pre-trained weights to initialize the network;
[0048] (3) Establish defect cloth image sample library, c...
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