Eureka AIR delivers breakthrough ideas for toughest innovation challenges, trusted by R&D personnel around the world.

Image conversion network processing method, server, computing device and storage medium

A network processing and image conversion technology, applied in the field of image processing, can solve the problems of low efficiency and long time consuming of image stylization processing

Active Publication Date: 2017-10-20
BEIJING QIHOO TECH CO LTD
View PDF6 Cites 11 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In this process, it takes a long time, resulting in low efficiency of image stylization processing

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 conversion network processing method, server, computing device and storage medium
  • Image conversion network processing method, server, computing device and storage medium
  • Image conversion network processing method, server, computing device and storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0091] Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited by the embodiments set forth herein. Rather, these embodiments are provided for more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.

[0092] figure 1 Shows a schematic flow chart of an image conversion network processing method according to an embodiment of the present invention, the method is executed based on a trained first network, such as figure 1 As shown, the method includes the following steps:

[0093] Step S100, acquiring a first image uploaded by a terminal.

[0094] When the user wants to process the image into an image having the same style as a ce...

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

The invention discloses an image conversion network processing method, a server, a terminal, a computing device and a storage medium. The image conversion network processing method is executed based on a trained first network and comprises the following steps: obtaining a first image uploaded by the terminal; inputting the first image into the first network to obtain a second network corresponding to the style of the first image; transmitting the second network to the terminal, so that the terminal performs style processing on a to-be-processed second image by using the second network. By adoption of the technical scheme, the corresponding image conversion network can be obtained quickly by the trained first network, thereby improving the image conversion network obtaining efficiency and optimizing the image conversion network processing mode.

Description

technical field [0001] The present invention relates to the technical field of image processing, in particular to an image conversion network processing method, a server, a terminal, a computing device, and a computer storage medium. Background technique [0002] Using image stylization processing technology, the style on the style image can be transferred to the daily captured image, so that the image can obtain better visual effects. In the prior art, a given style image is directly input into a neural network (neural network), and then a large number of content images are used as sample images, and the corresponding image corresponding to the given style image is obtained after multiple iterations of training. An image conversion network, using the image conversion network to realize the style conversion of the input content image. [0003] In the prior art, for any given style image, tens of thousands of iterative operations are required to train the neural network to o...

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
IPC IPC(8): H04N5/262G06N3/08
CPCG06N3/08H04N5/262
Inventor 申发龙颜水成曾钢
Owner BEIJING QIHOO TECH CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Eureka Blog
Learn More
PatSnap group products