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Image processing method and device, storage medium and computer terminal

An image processing and image technology, applied in the field of image processing, can solve the problems of low detection accuracy of detection models and low sample accuracy

Pending Publication Date: 2022-04-01
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 processing method, device, storage medium and computer terminal to at least solve the technical problem in the related art that the detection accuracy of the trained detection model is low due to the lack of training samples and the low accuracy of the samples

Method used

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  • Image processing method and device, storage medium and computer terminal
  • Image processing method and device, storage medium and computer terminal
  • Image processing method and device, storage medium and computer terminal

Examples

Experimental program
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Embodiment 1

[0033] According to the embodiment of the present application, an embodiment of an image processing 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, in some cases the steps shown or described may be performed in an order different from that shown or described herein.

[0034] 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 structural block diagram of a computer terminal (or mobile device) for implementing the image processing method is shown. Such as figure 1As 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 l...

Embodiment 2

[0089] According to the embodiment of the present application, an embodiment of an image processing method is also provided. It should be noted that the steps shown in the flowcharts 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.

[0090] Figure 4 is a flowchart of an image processing method according to an embodiment of the present invention. Such as Figure 4 As shown, the method may include the following steps:

[0091] Step S402, the cloud server receives the target image uploaded by the client.

[0092] Wherein, the target image contains the target object.

[0093] 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 us...

Embodiment 3

[0104] According to the embodiment of the present application, an embodiment of an image processing method is also provided. It should be noted that the steps shown in the flowcharts 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.

[0105] Figure 5 It is a flowchart of an image processing method according to Embodiment 3 of the present application. Such as Figure 5 As shown, the method may include the following steps:

[0106] Step S502, the cloud server receives the model training request uploaded by the client;

[0107] Wherein, the model training request includes: initial training samples.

[0108] Step S504, the cloud server performs data enhancement processing on the initial training samples to obtain the first training ...

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Abstract

The invention discloses an image processing method and device, a storage medium and a computer terminal. The method comprises the steps that a target image is acquired, and the target image comprises a target object; and detecting the target image by using a target detection model to obtain a detection result of the target object, the target detection model being obtained by training a pre-training model through a first training sample, the pre-training model being obtained by training the first training sample, and the first training sample being obtained by performing data enhancement processing on an initial training sample. The technical problem of low detection precision of a detection model obtained by training due to few training samples and low sample precision in related technologies is solved.

Description

technical field [0001] The present application relates to the field of image processing, in particular, to an image processing method, device, storage medium and computer terminal. Background technique [0002] At present, with the continuous development of computer vision technology, more and more methods based on computer vision technology have been put into practical production applications. Object detection technology is one of the most widely used computer vision technologies, such as face detection, vehicle detection, etc. In actual production applications, it is difficult to obtain image samples of some target categories, and only a small number of samples can be obtained. At the same time, there may be a large number of noise labels in the training data set. Few samples and noisy labels have a great impact on the training effect of the model. [0003] For the above problems, no effective solution has been proposed yet. Contents of the invention [0004] The embo...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06T7/10
Inventor 张慧明
Owner ALIBABA (CHINA) CO LTD
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