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Ice cream image training method, detection method and processing equipment

A training method and image detection technology, which is applied in the field of image recognition, can solve problems such as the inability to realize automatic counting and statistics of ice cream, difficulty in accurate recognition, etc., and achieve the effect of realizing automatic statistics and improving accuracy

Active Publication Date: 2022-04-22
深圳爱莫科技有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] The purpose of the present invention is to provide an ice cream image training method, detection method and processing equipment to solve the existing obstacles in the application of image recognition technology in the collection of ice cream information in the prior art, which is difficult to accurately identify and cannot Technical Problems in Realizing Automatic Counting and Statistics of Ice Cream

Method used

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  • Ice cream image training method, detection method and processing equipment

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Effect test

Embodiment 1

[0028] Such as figure 1As shown, the present invention provides an ice cream image training method, including the following steps: S100: Obtain multiple ice cream sample images of a real scene and label the ice cream, and obtain multiple ice cream labeled images with original mask labels. Multiple ice cream sample images in real scenes are obtained by shooting freezers with various ice creams. There should be a large visual difference between the ice cream sample images, which can be achieved through differences in ambient light intensity, color, angle, and direction. difference in order to improve the training effect. Labeling the ice cream is to distinguish the ice cream from the shooting background. Manual labeling or automatic labeling methods in the prior art can be used for automatic labeling to improve efficiency. S200: Select the labeled image of ice cream, and extract all ice cream block images according to the original mask label. Annotate the ice cream image, and ...

Embodiment 2

[0036] An ice cream image detection method, the ice cream image is detected by the ice cream image training method in Embodiment 1, and the actual mask label of the ice cream covered in the ice cream image is obtained. The detection method can automatically identify different parts of the same ice cream image after being occluded as the same ice cream, and segment the positions of different parts, thereby improving the accuracy of ice cream recognition.

[0037] As an optional implementation, the detection method can also mark the unoccluded surface ice cream in the ice cream image to obtain the surface mask label, which corresponds to the complete ice cream. Labeling the ice cream is to distinguish the ice cream in the ice cream image from the shooting background, and manual labeling or automatic labeling methods in the prior art can be used for automatic labeling to improve efficiency.

[0038] As an optional embodiment, the ice cream in the ice cream image can be counted by...

Embodiment 3

[0040] The present invention also provides an embodiment of a processing device, including one or more processors and memory; wherein, the memory is used to store one or more computer programs, and the one or more processors are used to execute one or more computer programs stored in the memory. program, so that the processor executes the method for detecting ice cream in the second embodiment above. The processing equipment effectively solves the problem of segmenting and identifying different parts of the same ice cream into multiple ice creams due to mutual occlusion between ice creams in the ice cream image, improves the accuracy of ice cream image segmentation and identification in the freezer, and realizes automatic control of the number of ice creams. statistics.

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Abstract

The invention discloses an ice cream image training method, detection method and processing equipment, relates to the technical field of image recognition, and solves the technical problem that it is difficult to accurately identify ice cream information and cannot realize automatic counting and statistics. The training method includes S100: obtaining an ice cream sample image and labeling the ice cream; S200: selecting the ice cream labeling image, and extracting all the ice cream block images; S300: making the ice cream block image into an ice cream texture; S400: randomly selecting multiple ice cream textures Sequentially attached to the labeled image of ice cream; S500: make a whiteboard image; S600: perform an AND operation on the original mask image and the whiteboard image to obtain the final mask image; S700: sequentially combine all the original mask labels with the last obtained in S600 Perform an AND operation on the whiteboard image to obtain the actual mask label. The invention is applicable to the scene where ice creams overlap and block each other, improves the accuracy of ice cream segmentation and recognition, and realizes the automatic statistics of the ice cream quantity.

Description

technical field [0001] The invention relates to the technical field of image recognition, in particular to an ice cream image training method, detection method and processing equipment. Background technique [0002] With the development of social economy, people's consumption level is increasing year by year, and the market scale of ice cream industry is growing rapidly, maintaining steady growth every year, and has great market prospects. The information collection of the ice cream market is an important basic work for the establishment of the ice cream marketing system. The collection, analysis and utilization of market information drives the development of key marketing businesses such as ice cream demand forecasting, supply organization, supply supply and brand cultivation. It is an important means for the ice cream industry to develop new products, grasp market trends, understand competitors, and formulate sales plans. . [0003] The existing ice cream market inspecti...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06V10/26G06K9/62G06T7/11G06V10/764
CPCG06T7/11G06T2207/30242G06T2207/20081G06F18/214G06F18/24
Inventor 杨恒龙涛李轩李华强
Owner 深圳爱莫科技有限公司