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Picture processing method and device
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An image processing and image technology, applied in the field of data processing, can solve the problem of low image learning efficiency and achieve the effect of convenient subsequent processing
Active Publication Date: 2020-07-21
GREE ELECTRIC APPLIANCES INC
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[0004] The embodiment of the present invention provides a picture processing method and device to at least solve the technical problem in the prior art that a large number of pictures are required for machine learning, and the image learning efficiency is low due to the inconsistent size of the pictures
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Embodiment 1
[0032] According to an embodiment of the present invention, an embodiment of a picture processing method is 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.
[0033] figure 1 is a flow chart of an image processing method according to an embodiment of the present invention, such as figure 1 As shown, the method includes the following steps:
[0034]Step S102, acquire a picture with a first shape, and acquire picture information of the picture, wherein the picture information includes at least; pixel information of the picture.
[0035] Specifically, the above-mentioned first shape may be a non-square shape, for example, a rectangle, but not limited thereto. A pict...
Embodiment 2
[0069] According to an embodiment of the present invention, an embodiment of an image processing apparatus is provided.
[0070] Figure 4 is a schematic diagram of an image processing device according to an embodiment of the present invention, such as Figure 4 As shown, the device includes:
[0071] The first acquiring module 42 is configured to acquire a picture with a first shape, and acquire picture information of the picture, wherein the picture information includes at least; pixel information of the picture.
[0072] Specifically, the above-mentioned first shape may be a non-square shape, for example, a rectangle, but not limited thereto. A picture may consist of a large number of pixels, and the pixel information of the picture may be the information of each pixel, for example, may include a pixel value of the pixel, but is not limited thereto.
[0073] The second obtaining module 44 is configured to use a convolutional neural network model to analyze image informat...
Embodiment 3
[0099] According to an embodiment of the present invention, an embodiment of a storage medium is provided, and the storage medium includes a stored program, wherein, when the program is running, the device where the storage medium is located is controlled to execute the image processing method in Embodiment 1 above.
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Abstract
The invention discloses a picture processing method and device. The method comprises the steps of acquiring a picture with a first shape, and acquiring the picture information of the picture, whereinthe picture information at least comprising pixel information of the picture; analyzing the picture information by using a convolutional neural network model to obtain filling parameters; and fillingthe picture from the first shape to the second shape based on the filling parameter. According to the invention, the technical problem of low image learning efficiency caused by inconsistent sizes ofpictures due to the fact that massive pictures are needed for machine learning in the prior art is solved.
Description
technical field [0001] The present invention relates to the field of data processing, in particular to an image processing method and device. Background technique [0002] When using an image acquisition device such as a camera to take pictures, due to the resolution, the picture will appear in two different shapes: rectangle or square. When performing algorithmprocessing, the processing of rectangular pictures is complicated and needs to be converted into square pictures for processing. At present, it is possible to use the model trained by machine learning to process the picture and fill the short side of the rectangular picture. In order to obtain the model, a large number of pictures are needed for machine learning. However, due to the inconsistent size of the pictures, the learning efficiency is low. [0003] For the above problems, no effective solution has been proposed yet. Contents of the invention [0004] Embodiments of the present invention provide an image p...
Claims
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