Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Image simulation generation method and system thereof, deep learning algorithm training method and electronic equipment

An image simulation and generation system technology, applied in the field of image data simulation, to achieve the effect of network performance improvement and wide applicability

Active Publication Date: 2021-04-20
创新奇智(北京)科技有限公司
View PDF5 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] In order to solve the technical problems existing in the rapid acquisition of existing image data, the present invention provides an image simulation generation method and its system, a deep learning algorithm training method and electronic equipment

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Image simulation generation method and system thereof, deep learning algorithm training method and electronic equipment
  • Image simulation generation method and system thereof, deep learning algorithm training method and electronic equipment
  • Image simulation generation method and system thereof, deep learning algorithm training method and electronic equipment

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0039] In order to make the purpose, technical solutions and advantages of the present invention more clear, the present invention will be further described in detail below in conjunction with the accompanying drawings and implementation examples. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0040] see figure 1 , in the first embodiment of the present invention, an image simulation generation method S10 is provided, which includes the following steps:

[0041] Step S1, acquire an initial image, and analyze the size characteristics and color space structure characteristics of the initial image; specifically, based on determining the scale and color space structure of the initial image, the original image can be generated or the image to be processed can be input;

[0042] Step S2, determining a simulation level threshold based on the size characteristics and color spac...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

An image simulation generation method provided by the present invention, which determines the threshold of the degree of simulation based on the preliminary analysis of the initial image, determines the predetermined pixel value of the translation of the initial image in at least two directions based on the threshold of the degree of simulation, and translates The final images are weighted and averaged to output the desired simulated image. The above-mentioned method can solve the technical problem that the existing image simulation technology cannot effectively simulate image aberrations caused by lenses, optics, photosensitive elements, and the like. The image simulation generation system and its electronic equipment have the same technical effect as the method. The deep learning algorithm training method provided by the present invention can also solve the problem that the existing data amplification technology cannot simulate the generated image into a real sampling image well, so as to obtain a better training effect.

Description

【Technical field】 [0001] The present invention relates to the field of image data simulation, in particular to an image simulation generation method and its system, a deep learning algorithm training method, and electronic equipment. 【Background technique】 [0002] The development of deep learning technology has given strong support to computer image vision technology, but the network structure of deep learning often contains a large number of parameters. In order to make the network have better performance (accuracy, generalization performance), etc., it is necessary to provide A large amount of data is used for network training. However, in practical applications, data collection and labeling are difficult to meet the magnitude required for training networks. Therefore, it is urgent to provide a new technical solution for rapid acquisition or generation of image data. 【Content of invention】 [0003] In order to solve the technical problems existing in the rapid acquisit...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Patents(China)
IPC IPC(8): G06T11/40G06T11/60G06T3/40
CPCG06T3/40G06T11/40G06T11/60
Inventor 张发恩杨经宇袁智超
Owner 创新奇智(北京)科技有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com