Image face value determination method and device, electronic device, storage medium
A technology for determining methods and pictures, applied in the computer field, can solve problems such as low efficiency and inconsistent judgment standards of appearance, and achieve high efficiency
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Embodiment 1
[0027] A method for determining the color value of a picture disclosed in this embodiment is as follows: figure 1 As shown, the method includes: step 110 to step 140.
[0028] Step 110, acquire picture features of the current picture.
[0029] The method for determining the appearance of a picture disclosed in the embodiments of the present application is suitable for application scenarios in which the appearance of a picture is determined based on information such as the outline of the picture content, the color of the picture, and the lighting, such as determining the appearance of a landscape picture, or determining the appearance of a food picture. The picture features include at least two of the following items: a first feature reflecting the degree of blur of the picture, a second feature reflecting the color distribution of the picture, and a third feature reflecting semantic information of the picture in at least one color space. In this embodiment, the specific techn...
Embodiment 2
[0043] A method for determining the color value of a picture disclosed in this embodiment is as follows: figure 2 As shown, the method includes: Step 210 to Step 250.
[0044] Step 210, training the first convolutional neural network, the second convolutional neural network, the third convolutional neural network and the fourth convolutional neural network.
[0045] Training The purpose of training the first convolutional neural network, the second convolutional neural network, the third convolutional neural network and the fourth convolutional neural network is to extract the third feature reflecting the semantic information of the image in the preset color space of the image. During specific implementation, the picture features include: a third feature that reflects semantic information of the picture in at least one color space. For example, the image features of the semantic information of the image are reflected in the RGB (red, green, blue) color space, and the image fea...
Embodiment 3
[0081] A device for determining the color value of a dish picture disclosed in this embodiment, such as Figure 4 As shown, the device includes:
[0082] Picture feature acquisition module 410, used to acquire the picture features of the current picture;
[0083] Image color value classification model acquisition module 420, used to obtain the image color value classification model;
[0084] A picture feature recognition module 430, configured to input the picture features acquired by the picture feature acquisition module 410 into the picture color classification model;
[0085] A picture color value determining module 440, configured to determine the color value of the current picture according to the output of the picture color value classification model;
[0086] Wherein, the picture features include at least two of the following items: a first feature reflecting the degree of blur of the picture, a second feature reflecting the color distribution of the picture, and a t...
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