Model training method and device, image quality evaluation method and device, electronic equipment and medium
An image quality assessment and model training technology, applied in the field of image processing, can solve the problems of lack of conversion of low-quality images to high-quality images, low model training efficiency, etc., to achieve the effect of improving efficiency
Active Publication Date: 2021-06-11
BEIJING CENTURY TAL EDUCATION TECH CO LTD
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However, this method needs to collect a large amount of training data and perform manual labeling, resulting in low efficiency of model training
Also, there is a lack of a way to convert a low quality image to a high quality one
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[0092] In order to better understand the above purpose, features and advantages of the present application, the solution of the present application will be further described below. It should be noted that, in the case of no conflict, the embodiments of the present application and the features in the embodiments can be combined with each other.
[0093] In the following description, a lot of specific details have been set forth in order to fully understand the present application, but the present application can also be implemented in other ways different from those described here; obviously, the embodiments in the description are only a part of the present application, and Not all examples.
[0094] figure 1 A schematic diagram showing a system architecture of an exemplary application environment where the image quality assessment model training method and the image quality assessment method according to the embodiments of the present application can be applied.
[0095] Suc...
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The invention relates to a model training method and device, an image quality evaluation method and device, electronic equipment and a medium, and is applied to the technical field of image processing. The model training method comprises the steps: obtaining a plurality of sample clear images, carrying out the character recognition of each sample clear image, and obtaining corresponding first text information; transforming the sample clear images based on the plurality of image attribute transformation indexes to obtain a plurality of sample transformation images corresponding to the sample clear images; performing character recognition on each sample transformation image to obtain second text information corresponding to each sample transformation image, and determining a Levenshtein distance between the first text information and the second text information corresponding to the sample clear images; determining bad example values corresponding to the sample transformation images based on the Levenshtein distance; and taking each sample transformation image as input, taking the image attribute transformation index and the bad example value corresponding to each sample transformation image as labels, and training to generate an image quality evaluation model. The efficiency of model training can be improved.
Description
technical field [0001] The present application relates to the technical field of image processing, and in particular to a model training, image quality assessment method and device, electronic equipment, and media. Background technique [0002] At present, when text recognition is performed through OCR (optical character recognition, optical character recognition) technology, it is affected by image quality, which makes the OCR model unable to accurately recognize text information in low-quality images. Therefore, it is necessary to evaluate the quality of the image to be recognized in advance. [0003] In related technologies, a neural network model can be pre-trained, and the image quality can be evaluated through the neural network model. However, this method needs to collect a large amount of training data and perform manual labeling, resulting in low efficiency of model training. Also, there is a lack of a way to convert low-quality images into high-quality ones. Co...
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IPC IPC(8): G06K9/20G06K9/62
CPCG06V10/22G06V30/10G06F18/214
Inventor 赵明田科朱红吴中勤
Owner BEIJING CENTURY TAL EDUCATION TECH CO LTD