Image acquisition method and device for model training, equipment and medium

A technology of model training and image acquisition, which is applied in the field of image processing, can solve problems such as increasing labor costs, and achieve the effects of reducing labor costs, enriching diversity, and increasing differences

Active Publication Date: 2021-06-25
BEIJING CENTURY TAL EDUCATION TECH CO LTD
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  • Abstract
  • Description
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  • Application Information

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Problems solved by technology

At present, in the actual application of text detection, if you want to achieve better detection results, you need to manually label a large a

Method used

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  • Image acquisition method and device for model training, equipment and medium
  • Image acquisition method and device for model training, equipment and medium
  • Image acquisition method and device for model training, equipment and medium

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[0054] The above objects, features, and advantages of the present disclosure will be more clearly understood, and the scheme of the present disclosure will be further described below. It should be noted that the features of the present disclosure may be combined with each other in the case of an unable conflict.

[0055] A lot of specific details are set forth in the following description to fully understand the present disclosure, but the present disclosure may also employ other different from the described manner; clear, the embodiments in the specification are only part of the embodiments of the present disclosure. Not all embodiments.

[0056] figure 1 A flow chart of an image acquisition method for model training provided for an embodiment of the present disclosure, which includes the following steps:

[0057] Step S102, acquire a first binarized image of a first original sample image that is labeled a first label sample image with a text box, an arbitrary unmissible text bo...

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Abstract

The invention relates to an image acquisition method and device for model training, equipment and a medium. The method comprises the following steps: acquiring a first marked sample image marked with a textbox, a first original sample image of any unmarked textbox and a first binary image of a second original sample image of any unmarked textbox; encoding and decoding the first marked sample image, the first original sample image and the first binary image through a target generation model to generate a first decoded image; and detecting a textbox in the first decoded image through a to-be-trained text detection model, and adding the first original sample image and the second original sample image into an image training set under the condition that the detected textbox in the first decoded image is compared to be not matched with the tagged textbox in the first tagged sample image at a preset matching degree. According to the invention, a large number of diversified training images can be obtained under the condition of low labor cost.

Description

technical field [0001] The present disclosure relates to the technical field of image processing, and in particular to an image acquisition method, device, device and medium for model training. Background technique [0002] Text detection is widely used in computer vision tasks. At present, in the actual application of text detection, if you want to achieve better detection results, you need to manually label a large amount of training data with differences, and supervise the training of the text detection model, but this will greatly increase the labor cost. . Contents of the invention [0003] In order to solve the above technical problems or at least partly solve the above technical problems, the present disclosure provides an image acquisition method, device, device and medium for model training. [0004] The present disclosure provides an image acquisition method for model training, including: [0005] Acquiring the first binarized image of the first marked sample ...

Claims

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Application Information

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IPC IPC(8): G06K9/20G06K9/62
CPCG06V10/22G06F18/22G06F18/25G06F18/214
Inventor 李盼盼秦勇
Owner BEIJING CENTURY TAL EDUCATION TECH CO LTD
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