Method and device for judging similar categories of commodity images
A commodity image and judgment method technology, applied in the field of image processing, can solve the problems of inapplicability to a wide variety of commodity images and low accuracy, and achieve the effect of high accuracy and efficient computing speed
Active Publication Date: 2021-05-11
广州图普网络科技有限公司
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Problems solved by technology
Among them, the selection of features and the assignment of different features rely too much on the experience of decision makers, resulting in the selection of features and assignments that may be effective for individual cases but not necessarily global optimal
In addition, commonly used image features such as SIFT, GIST, and color are effective for specific scenarios, but they are not suitable for a wide variety of product images. Therefore, the accuracy of traditional methods for determining similarity of product images is low
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[0061] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.
[0062] In one embodiment, such as figure 1 As shown, a method for determining similar categories of commodity images is provided, and the method specifically includes the following steps:
[0063] Step 102: Obtain the image of the target product.
[0064] The target product images are two product images of similar categories to be determined. If the products in the two product images are of the same type, the similar categories of the two product images are the same model; if the products in the two product images are not completely identical, the similar categories of the two product images are ...
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The invention relates to a method and device for judging similar categories of commodity images. The method includes acquiring target commodity images, and the target commodity images are two commodity images of similar categories to be determined. Preprocess the target product image into an image that meets the input requirements of the network model. Input the preprocessed target commodity image into the network model to obtain the similarity probability of the target commodity image, and determine the similarity category of the target commodity image according to the similarity probability. The image sample set is obtained through iterative training. By adopting the method and the device, the whole process of judging similar categories is obtained through automatic training of the network model, and has very high accuracy and efficient operation speed.
Description
technical field [0001] The invention relates to the field of image processing, in particular to a method and device for judging similar categories of commodity images. Background technique [0002] With the rapid development of computer vision technology, image retrieval has attracted extensive attention. The reprocessing of image retrieval results is a key issue in computer vision. Judging and classifying the similarity of retrieved images can make the retrieval results more intuitive and clear, and facilitate the extraction and use of effective information. For example, when a user searches for a dress product, the first 100 returned image results are all the same product, and similar products cannot be displayed until the 101st. Such search results make the user obtain a lot of invalid information and seriously restrict the user. Gain extensibility of information. However, if it is possible to classify the same product and similar products in the retrieved images, and r...
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IPC IPC(8): G06K9/62
CPCG06F18/22G06F18/214
Inventor 李明强
Owner 广州图普网络科技有限公司