Filter bag mouth position detection method based on depth separable convolution YOLOv4 model

Abstract

The invention discloses a filter bag mouth position detection method based on a depth separable convolution YOLOv4 model. The method comprises the steps of firstly, collecting a filter bag mouth picture on a conveying belt through a camera; then performing data enhancement on all the pictures, labeling the images, and constructing a filter bag mouth data set; constructing a YOLOv4 target detection model based on depth separable convolution, setting training parameters, and training the YOLOv4 target detection model based on depth separable convolution by using the filter bag mouth data set; and finally, inputting the to-be-detected filter bag mouth picture into the trained YOLOv4 target detection model based on depth separable convolution, and outputting the to-be-detected filter bag mouth picture marked with the position of the detection frame and the category of the filter bag mouth. According to the method, the total parameter number of the model is reduced, and the calculation speed of the model is increased.

Description

technical field [0001] The invention relates to the field of computer vision, in particular to the field of image detection and recognition, in particular to a method for detecting the position of a filter bag mouth based on a depth-separable convolution YOLOv4 model. Background technique [0002] In recent years, my country's domestic economy has developed rapidly, which has improved people's living standards and quality to a certain extent, and the industrial level has undergone tremendous changes compared with the past. However, while ensuring production efficiency, the inaccurate positioning of product locations affects with many industrial manufacturers. The mouth of the filter bag plays an important role in the intelligent production process of the filter bag. However, due to the flexibility of the filter bag, the traditional target detection method is difficult to achieve and the detection accuracy cannot meet the production requirements of the factory. Therefore, an ...

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Problems solved by technology

[0002] In recent years, my country's domestic economy has developed rapidly, which has improved people's living standards and quality to a certain extent, and the industrial level has undergone tremendous changes compared with the past. However, while ensuring production efficiency, inaccurate positioning of product locations affects many industrial manufacturers

The mouth of the filter bag plays an important role in the intelligent production process of the filter bag. However, due to the flexibility of the filter bag, the traditional target detection method is difficult to achieve and the detection accuracy cannot meet the production requirements of the factory.

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