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Image detection method, storage medium and computer terminal

An image detection and target image technology, applied in computer parts, calculations, calculation models, etc., can solve problems such as low image detection efficiency, and achieve the effect of improving image detection efficiency, reducing computational complexity, and improving accuracy

Pending Publication Date: 2022-04-15
ALIBABA (CHINA) CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The embodiment of the present application provides an image detection method, a storage medium, and a computer terminal, so as to at least solve the technical problem of low image detection efficiency in the related art

Method used

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  • Image detection method, storage medium and computer terminal
  • Image detection method, storage medium and computer terminal
  • Image detection method, storage medium and computer terminal

Examples

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Embodiment 1

[0055] According to the embodiment of the present application, an embodiment of an image detection method is also provided. It should be noted that the steps shown in the flow chart of the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions, and, although A logical order is shown in the flowcharts, but in some cases the steps shown or described may be performed in an order different from that shown or described herein.

[0056] The method embodiments provided in the embodiments of the present application may be executed in mobile terminals, computer terminals or similar computing devices. figure 1 A hardware structure block diagram of a computer terminal (or mobile device) for implementing the image detection method is shown. Such as figure 1 As shown, the computer terminal 10 (or mobile device 10) may include one or more (shown by 102a, 102b, ..., 102n in the figure) processor 102 (the processor 102 may include but not...

Embodiment 2

[0132] According to the embodiment of the present application, an embodiment of an image detection method is also provided. It should be noted that the steps shown in the flow chart of the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions, and, although A logical order is shown in the flowcharts, but in some cases the steps shown or described may be performed in an order different from that shown or described herein.

[0133] Figure 5 is a flowchart of an image detection method according to an embodiment of the present invention. Such as Figure 5 As shown, the method may include the following steps:

[0134] Step S502, the cloud server receives the target image uploaded by the client.

[0135] The above-mentioned client and cloud server can perform data interaction through a specific interface. The client can pass the target image selected by the user into the interface function and use it as a parameter of the in...

Embodiment 3

[0152] According to the embodiment of the present application, an embodiment of an image detection method is also provided. It should be noted that the steps shown in the flow chart of the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions, and, although A logical order is shown in the flowcharts, but in some cases the steps shown or described may be performed in an order different from this.

[0153] Figure 6 is a flowchart of an image detection method according to an embodiment of the present invention, such as Figure 6 As shown, the method may include the following steps:

[0154] Step S602, receiving a target image.

[0155] Step S604, performing multiple feature extractions on the target image to obtain multiple feature maps.

[0156] Among them, the resolutions of the multiple feature maps are different.

[0157] Step S606, performing feature fusion on each feature map and the historical feature map correspo...

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Abstract

The invention discloses an image detection method, a storage medium and a computer terminal. The method comprises the following steps: acquiring a target image; multiple times of feature extraction are carried out on the target image, multiple feature maps are obtained, and the resolutions of the multiple feature maps are different; feature fusion is carried out on each feature map and a historical feature map corresponding to each feature map, a target feature map is obtained, and the historical feature maps are feature maps fused before each feature map is extracted; and performing image detection on the target feature map to obtain a target detection result of the target object contained in the target image. According to the invention, the technical problem of low efficiency of image detection in the prior art is solved.

Description

technical field [0001] The present application relates to the field of image detection, in particular, to an image detection method, a storage medium and a computer terminal. Background technique [0002] Image detection is a computer vision task that predicts class labels and bounding box locations for all objects of interest in an image. Traditional object detectors use many manual components, such as providing prior size of objects, heuristic object matching rules, non-maximum suppression algorithm to remove duplicate results, etc. These components complicate the overall process of image detection. In order to reduce the complexity of the overall process, an end-to-end target detector is generally used, which is characterized by the architecture of an encoder and a decoder. Among them, the encoder is used for feature fusion, and the decoder is used for Target query, but in the process of feature fusion, the encoder needs to pay a lot of computational overhead for extract...

Claims

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Application Information

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IPC IPC(8): G06V10/40G06V10/80G06K9/62G06N20/00
Inventor 林君宇毛潇锋陈岳峰何源薛晖
Owner ALIBABA (CHINA) CO LTD
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