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Method for constructing multi-task computer vision application service based on deep learning

A computer vision and application service technology, applied in the field of artificial intelligence, can solve problems such as difficult service deployment, long algorithm design cycle, and time-consuming, and achieve the effects of reducing operation and maintenance complexity, facilitating docking and expansion, and improving reasoning efficiency

Pending Publication Date: 2021-03-16
SHANDONG LANGCHAO YUNTOU INFORMATION TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The deep learning technology is still not perfect, the application threshold is high, the algorithm modeling and parameter adjustment process is complex and cumbersome, the algorithm design cycle is long, the system implementation and maintenance are difficult, and the service is difficult to deploy, etc.
Getting started with deep learning can be time-consuming and cumbersome, even for seasoned deep learning practitioners

Method used

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Examples

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Effect test

Embodiment

[0027] The method for constructing multi-task computer vision application service based on deep learning of the present invention comprises the following steps:

[0028] S1. Define the data input data source format of the application service.

[0029] This method can support multiple data sources as data input for deep learning application services, including data such as single pictures, picture streams, video files, real-time videos, etc., and is automatically compatible with data in picture format and video stream format. A single picture or video file can be used as a data source to synchronously request inference results in Http+Restful mode, and real-time picture streams and real-time video streams can also be supported as data sources to send asynchronous request inference results in task mode, and the inference results can be sent in Kafka mode roll out. Use a single image as the data input source, and use HTTP+Restful as the request method to request the inference re...

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PUM

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Abstract

The invention discloses a method for constructing a multi-task computer vision application service based on deep learning, and belongs to the technical field of artificial intelligence. The method forconstructing the multi-task computer vision application service based on deep learning comprises the following steps: S1, defining a data input data source format of the application service; s2, defining GPU resource scheduling rules are defined so that GPU resources are automatically allocated as required; s3, defining a service internal bus; s4, defining a model arrangement pipeline; and S5, containerized deployment and operation and maintenance of the application service. According to the method for constructing the multi-task computer vision application service based on deep learning, theimplementation difficulty of deep learning can be reduced, the development efficiency is improved, meanwhile, the development cost is reduced, and good application and popularization value is achieved.

Description

technical field [0001] The invention relates to the technical field of artificial intelligence, and specifically provides a method for constructing multi-task computer vision application services based on deep learning. Background technique [0002] At present, the development of artificial intelligence has been fully concerned and promoted with the help of breakthroughs in deep learning technology. Governments of various countries attach great importance to it, and all walks of life have reached a consensus that it has become a development hotspot. Deep learning is the key technology of this round of artificial intelligence explosion. The breakthroughs made by artificial intelligence technology in the fields of computer vision and natural language processing have ushered in a new round of explosive development of artificial intelligence. And deep learning is the key technology to achieve these breakthroughs. The deep learning technology is still not perfect, the applicati...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T1/20G06F9/50G06N3/04G06N3/08G06N5/04
CPCG06T1/20G06F9/505G06N5/04G06N3/04G06N3/08
Inventor 杨镇铭刘琛安晓博尹萍张新法
Owner SHANDONG LANGCHAO YUNTOU INFORMATION TECH CO LTD
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