Target detection method and device, computer equipment, storage medium and program product

Abstract

The invention provides a target detection method and device, computer equipment, a storage medium and a program product, and relates to the technical fields of computer vision, image processing, artificial intelligence and the like. The method comprises the following steps: segmenting a to-be-detected image to obtain at least two slices, and extracting pixel point features and pixel point context features of each slice through a feature extraction layer to obtain at least two feature maps; detecting the feature map to obtain defect information of the slices; the feature extraction layer comprises a target network layer used for performing pixel point feature extraction on the slices, through the target network layer, down-sampling operation is omitted when the pixel point features of the slices are directly extracted, detail features of an original image are reserved, and even if small targets in a small area range are detected, the small targets can be accurately detected; moreover, a feature extraction layer is also designed to extract pixel point features and pixel point context features, so that the robustness of detection of targets of different sizes is improved, and the accuracy of target detection is further improved.

Description

technical field [0001] The present application relates to technical fields such as computer vision, image processing, and artificial intelligence. The present application relates to a target detection method, device, computer equipment, storage medium, and program product. Background technique [0002] With the development of science and technology, the application of computer vision technology in industrial scenes is increasing. For example, in modern industrial manufacturing, mechanical parts, electronic components and other products produced by industrial assembly lines inevitably have defects. Therefore, in the quality control process, product images are usually used for object detection to identify product defects. [0003] In related technologies, the process of target detection may include: inputting an image of a product into a neural network for detection, so as to output the positions of possible defects in the image. However, usually the neural network cannot sa...

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Problems solved by technology

[0004] This application provides a target detection method, device, computer equipment, storage medium and program product, which can solve the problems of low accuracy and applicability of target detection in related technologies

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