Method and apparatus for training an object identification neural network, and computer device
US11281939B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 9, 2020 |
| Grant date | Mar 22, 2022 |
| Priority date | — |
| Expiry date | Jan 22, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/20084
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method for training an object identification neural network based on a distorted fisheye image includes: acquiring the distorted fisheye image, wherein the distorted fisheye image comprises at least one target object; dividing the distorted fisheye image into a plurality of zones according to a distortion degree; determining a zone to which each of the at least one target object belongs; categorizing the at least one target object according to the zone to which each of the at least one target object belongs; and inputting the distorted fisheye image and a category to which each of the at least one target object belongs into the object identification neural network to train the object identification neural network.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.