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Object detection method and device, storage medium and processor

A detection method and object technology, applied in the computer field, can solve the problems of low accuracy and achieve the effect of solving low accuracy and improving accuracy

Pending Publication Date: 2022-08-02
ALIBABA GRP HLDG LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Embodiments of the present invention provide an object detection method, device, storage medium, and processor to at least solve the technical problem of low accuracy in object detection

Method used

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  • Object detection method and device, storage medium and processor
  • Object detection method and device, storage medium and processor
  • Object detection method and device, storage medium and processor

Examples

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Embodiment 1

[0042] According to an embodiment of the present invention, an embodiment of an object detection method is also provided. It should be noted that the steps shown in the flowchart of the accompanying drawings may be executed in a computer system such as a set of computer-executable instructions, and , although a logical order is shown in the flowcharts, in some cases steps shown or described may be performed in an order different from that herein.

[0043] The method embodiment provided in Embodiment 1 of the present application may be executed in a mobile terminal, a computer terminal, or a similar computing device. figure 1 It is a hardware structural block diagram of a computer terminal (or mobile device) for implementing an object detection method according to an embodiment of the present invention. like figure 1 As shown, the computer terminal 10 (or mobile device 10 ) may include one or more processors 102 (shown as 102a, 102b, . or a processing device such as a program...

Embodiment 2

[0142] The technical solution of the present invention will be illustrated below with reference to the preferred embodiments, and the product object will be specifically illustrated as a commodity.

[0143]In e-commerce platforms, it is usually necessary to design algorithms to identify structured information such as product categories, attributes, and categories. This part of the algorithm usually requires a complex model with better accuracy for commodity detection, and also needs to rely on a powerful graphics processor to perform calculations in the cloud, and then return the results of the computing in the cloud to the client.

[0144] However, in the above processing methods, complex models are calculated in the cloud and need to rely on a powerful image processor, resulting in expensive computing costs; the algorithms processed in the cloud do not fully utilize the computing power of the client, resulting in a waste of client resources. ; The complex model is calculated...

Embodiment 3

[0165] According to an embodiment of the present invention, there is also provided a method for implementing the above figure 2 The object detection device of the object detection method shown.

[0166] Figure 9 It is a schematic diagram of an object detection apparatus according to an embodiment of the present invention. like Figure 9 As shown, the object detection device 90 may include: a first acquisition unit 91 , a first extraction unit 92 and a first detection unit 93 .

[0167] The first obtaining unit 91 is configured to obtain the first video frame and the second video frame of the target object.

[0168] The first extraction unit 92 is configured to extract the first feature from the first video frame based on the lightweight network model, and extract the second feature from the second video frame based on the heavyweight network model, wherein the heavyweight network model The amount of data processing is larger than that of the lightweight network model.

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Abstract

The invention discloses an object detection method and device, a storage medium and a processor. The method comprises the following steps: acquiring a first video frame and a second video frame of a target object; a first feature is extracted from the first video frame based on a lightweight network model, a second feature is extracted from the second video frame based on a heavy-weight network model, and the data processing amount of the heavy-weight network model is larger than that of the lightweight network model; and detecting the target object based on the first feature and the second feature to obtain target information of the target object. The technical problem that the accuracy of object detection is low is solved.

Description

technical field [0001] The present invention relates to the field of computers, and in particular, to an object detection method, device, storage medium and processor. Background technique [0002] At present, when detecting an object, it usually relies on a complex model to detect the information of the object. The model has a large amount of parameters and takes a long time to run during calculation. While using a simple model to detect the information of an object can avoid long running time, it is difficult to ensure the accuracy of object detection due to the low accuracy of the simple model. [0003] For the above-mentioned technical problem of low object detection accuracy, no effective solution has been proposed yet. SUMMARY OF THE INVENTION [0004] Embodiments of the present invention provide an object detection method, device, storage medium, and processor, so as to at least solve the technical problem of low accuracy of object detection. [0005] According to...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06V20/40G06V10/46G06V10/764G06V10/80G06V10/82G06K9/62G06N3/08
CPCG06N3/08G06F18/24G06F18/253
Inventor 孙思洋赵黎明王强郑赟潘攀徐盈辉
Owner ALIBABA GRP HLDG LTD
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