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Image acquisition method, image processing method, image acquisition device, image processing device and electronic equipment

An image acquisition and image technology, applied in the field of image processing, can solve problems such as low efficiency, incomplete images, and error-prone, and achieve the effects of comprehensive image information, improving efficiency and accuracy, and alleviating incomplete images

Inactive Publication Date: 2019-05-10
NANJING KUANYUN TECH CO LTD +2
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] In view of this, the purpose of the present invention is to provide an image acquisition method, image processing method, device and electronic equipment, to alleviate the technical problems of incomplete, inefficient and error-prone images collected by existing image acquisition methods

Method used

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  • Image acquisition method, image processing method, image acquisition device, image processing device and electronic equipment
  • Image acquisition method, image processing method, image acquisition device, image processing device and electronic equipment
  • Image acquisition method, image processing method, image acquisition device, image processing device and electronic equipment

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Embodiment 1

[0033] First, refer to figure 1 The electronic device 100 for implementing the embodiments of the present invention will be described, and the electronic device can be used to run the image acquisition methods of the various embodiments of the present invention.

[0034] Such as figure 1 As shown, the electronic device 100 includes one or more processors 102, one or more memories 104, an input device 106, an output device 108, and a camera 110. These components are connected via a bus system 112 and / or other forms of connection mechanisms (not shown). out) interconnection. It should be noted that figure 1 The components and structure of the electronic device 100 shown are only exemplary, not limiting, and the electronic device may also have other components and structures as required.

[0035] The processor 102 can be a digital signal processor (DSP, Digital Signal Processing), a field programmable gate array (FPGA, Field-Programmable Gate Array), a programmable logic array...

Embodiment 2

[0042] According to an embodiment of the present invention, an embodiment of an image acquisition method is provided. It should be noted that the steps shown in the flow charts 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, in some cases the steps shown or described may be performed in an order different from that shown or described herein.

[0043] figure 2 is a flowchart of an image acquisition method according to an embodiment of the present invention, such as figure 2 As shown, the method includes the following steps:

[0044] Step S202, acquiring the original image captured by the camera; the original image includes target objects in various poses;

[0045] In the embodiment of the present invention, the image acquisition method is applied to a processor, the processor is connected to a camera, the camera is installed in a target area, and ta...

Embodiment 3

[0094] According to an embodiment of the present invention, an embodiment of an image processing method is provided. It should be noted that the steps shown in the flow charts of the 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, in some cases the steps shown or described may be performed in an order different from that shown or described herein.

[0095] Figure 5 is a flowchart of an image processing method according to an embodiment of the present invention, such as Figure 5 As shown, the method includes the following steps:

[0096] Step S502, acquiring an image to be processed, wherein the image to be processed includes at least one object to be identified;

[0097] Step S504, use the classification model to classify the object to be recognized in the image to be processed, and obtain the category information of the object to be recognized in the image to be proc...

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Abstract

The invention provides an image acquisition method, an image processing method, an image processing device and electronic equipment. The image acquisition method comprises the following steps: acquiring an original image shot by a camera; carrying out target detection processing on the original image by adopting a target detection model to obtain bounding box information of the target object; determining training sample based on the original image and the bounding box information. According to the invention, automatic labeling of the original image is realized through the target detection model; the marking efficiency and accuracy are improved; under the condition that the target area is fully filled with the target object; one original image of the target object at each position in the target area can be obtained at a time; thus, the original images of the target objects with different placement postures are obtained, in the training sample determined based on the original images andthe bounding box information, the image information of the target objects is more comprehensive, and the technical problems that images collected through an existing image collection method are not comprehensive, low in efficiency and prone to errors are solved.

Description

technical field [0001] The present invention relates to the technical field of image processing, in particular to an image acquisition method, image processing method, device and electronic equipment. Background technique [0002] The unmanned supermarket is the product of the retail industry under the integration of the Internet of Things and the Internet. With the increasing demand for unmanned settlement and convenient cash registers in the new retail scene, unmanned supermarkets have gained more and more attention. The static unmanned container model (including the detection model and classification model) based on the vision scheme requires a large number of planograms and corresponding commodity labeling information during training. Different from traditional image data collection, product image collection inside the container needs to take into account the different positions of the product inside the container. In addition, for each product, images from different ang...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/62
Inventor 赵振宇魏秀参
Owner NANJING KUANYUN TECH CO LTD
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