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Article detection method and device, terminal and storage medium

An article detection and terminal technology, applied in the field of image processing, can solve the problem of low detection accuracy of target detection network, and achieve the effect of high detection accuracy

Pending Publication Date: 2021-07-16
SHENZHEN UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In view of the above-mentioned defects of the prior art, the present invention provides an object detection method, device, terminal and storage medium, aiming to solve the problem of low detection accuracy of the target detection network in the prior art

Method used

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  • Article detection method and device, terminal and storage medium
  • Article detection method and device, terminal and storage medium
  • Article detection method and device, terminal and storage medium

Examples

Experimental program
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Embodiment 1

[0056] like figure 1 Shown, in an embodiment of described article detection method, comprise step:

[0057] S100. Receive an image to be detected, and acquire initial pyramid features of the image to be detected.

[0058] The object detection method provided in this embodiment detects a target item in the image to be detected after receiving the image to be detected. The image to be detected may be a security X-ray image, and the target item may be a restricted item. The article detection method provided in this embodiment may be realized through a trained article detection network, the article detection network is a neural network, and the article detection network is obtained through multiple sets of training data training, and each set of training data includes samples to be detected The image and the object detection result corresponding to the image of the sample to be detected. Specifically, the training data can be obtained by manual labeling.

[0059] The structure ...

Embodiment 2

[0125] Based on the above embodiments, the present invention also provides a corresponding object detection device, such as Figure 10 As shown, the article detection device includes:

[0126] The first feature extraction module, the first feature extraction module is used to receive the image to be detected, and obtain the initial pyramid feature of the image to be detected, specifically as described in the first embodiment;

[0127] The second feature extraction module, the second feature extraction module is used to obtain deformable convolution parameters according to the initial pyramid features, and obtain the first pyramid features according to the initial pyramid features and the deformable convolution parameters, specifically As described in Example 1;

[0128] The third feature extraction module, the third feature extraction module is used to extract the region of interest according to the first pyramid feature, and the correlation between the feature map of each la...

Embodiment 3

[0131] Based on the above embodiments, the present invention also provides a corresponding terminal, such as Figure 11 As shown, the terminal includes a processor 10 and a memory 20 . Figure 11 Only some components of the terminal are shown, but it should be understood that implementation of all illustrated components is not required, and more or fewer components may be implemented instead.

[0132] The storage 20 may be an internal storage unit of the terminal in some embodiments, such as a hard disk or memory of the terminal. In other embodiments, the memory 20 may also be an external storage device of the terminal, such as a plug-in hard disk equipped on the terminal, a smart memory card (Smart Media Card, SMC), a secure digital (Secure Digital, SD ) card, flash memory card (Flash Card), etc. Further, the memory 20 may also include both an internal storage unit of the terminal and an external storage device. The memory 20 is used to store application software and vario...

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Abstract

The invention discloses an article detection method and device, a terminal and a storage medium. The method comprises the steps: receiving a to-be-detected image, and obtaining an initial pyramid feature of the to-be-detected image; obtaining a deformable convolution parameter according to the initial pyramid feature, and obtaining a first pyramid feature according to the initial pyramid feature and the deformable convolution parameter; extracting a region of interest according to the first pyramid feature, and performing feature information supplementation on the region of interest according to the correlation between each layer of feature map of the first pyramid feature and the region of interest to obtain an output feature map of the region of interest; and obtaining an article detection result according to the output feature map. According to the invention, the article detection accuracy can be improved.

Description

technical field [0001] The present invention relates to the technical field of image processing, and in particular, to an article detection method, device, terminal and storage medium. Background technique [0002] Parcel X-ray restricted product monitoring is an important part of the daily parcel logistics industry and security industry. With the popularization and rapid development of online shopping, the number of online logistics parcels has far exceeded the range that can be handled manually. At present, X-ray images have been detected by neural network to monitor restricted goods, but the detection effect of the existing target detection network on large targets is much better than that on small targets, and the detection accuracy is not high. [0003] Therefore, the existing technology still needs to be improved and improved. SUMMARY OF THE INVENTION [0004] In view of the above-mentioned defects of the prior art, the present invention provides an article detectio...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/32G06K9/46G06K9/62G06N3/04G06N3/08
CPCG06N3/08G06V20/52G06V10/454G06V10/25G06V2201/05G06N3/045G06F18/214
Inventor 黄惠沈定国
Owner SHENZHEN UNIV
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