Image processing method and device, terminal and storage medium
An image processing and image technology, applied in image data processing, image analysis, image communication, etc., can solve the problem of high-quality image operation difficulty, and achieve the effect of reducing the operation difficulty
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[0027] In order to make the purpose, technical solution and advantages of the present application clearer, the implementation manners of the present application will be further described in detail below in conjunction with the accompanying drawings.
[0028] First, the nouns involved in this application are introduced.
[0029] Image rating model: is a mathematical model used to determine the quality score of an image based on input data.
[0030] Optionally, the image evaluation model includes but is not limited to: convolutional neural network (Convolutional Neural Network, CNN) model, deep neural network (Deep Neural Network, DNN) model, recurrent neural network (Recurrent Neural Networks, RNN) model, embedding ( embedding) model, gradient boosting decision tree (Gradient Boosting Decision Tree, GBDT) model, logistic regression (Logistic Regression, LR) model at least one.
[0031] The DNN model is a deep learning framework. The DNN model includes an input layer, at least...
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