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Training data generation method and device, computer readable medium and electronic equipment

A technology of training data and depth data, applied in the field of image processing, can solve problems such as impractical data collection

Pending Publication Date: 2021-10-22
GUANGDONG OPPO MOBILE TELECOMM CORP LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, deep learning algorithms are highly dependent on training data, and it is impractical to collect data from infinitely many scenes through depth sensors

Method used

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  • Training data generation method and device, computer readable medium and electronic equipment
  • Training data generation method and device, computer readable medium and electronic equipment
  • Training data generation method and device, computer readable medium and electronic equipment

Examples

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Embodiment Construction

[0035] An example embodiment will now be described more fully with reference to the accompanying drawings. However, the example embodiments can be implemented in a variety of forms, and should not be construed as being limited to the examples set forth herein; in contrast, the present disclosure will make the present disclosure more comprehensive and complete, and to comprehensively convey the concept of an example embodiment A technician to those skilled in the art. The features, structures, or characteristics described may be incorporated in one or more embodiments in any suitable manner.

[0036] Moreover, the drawings are only schematic illustrations of the present disclosure, and it is not necessarily to scale. The same reference numerals in the figures represent the same or similar portions, and thus the repeated description thereof will be omitted. Some of the block diagrams shown in the drawings are functional entities, and do not necessarily have to correspond to physical...

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Abstract

The invention provides a training data generation method, a training data generation device, a computer readable medium and electronic equipment, and relates to the technical field of image processing. The method comprises the following steps: acquiring a video set, wherein the video set comprises at least one 2D video; performing frame screening on each 2D video based on a preset tracking condition to obtain a tracking frame sequence corresponding to each 2D video; and performing three-dimensional reconstruction based on each tracking frame sequence to obtain a reconstructed image and depth data corresponding to the reconstructed image, and taking the reconstructed image and the depth data corresponding to the reconstructed image as first training data. According to the method and the device, videos which exist on the Internet, are shot by different devices and are rich in scenes can be converted into deep truth values, and training data with a large quantity and rich scenes can be generated, so that machine learning or deep learning networks related to the deep data can be trained based on the data.

Description

Technical field [0001] The present disclosure relates to the field of image processing, and more particularly to a method of forming a training data, a generating apparatus, a computer readable medium, and an electronic device of training data. Background technique [0002] The depth map is widely used in computer visual tasks, such as visual mileage, visual construction, visual SLAM, three-dimensional reconstruction, scene sensation, spot rendering, free viewpoint rendering, etc. In the related art, the acquisition method of depth true value in the depth map generally has the following: The first is to capture truth data by depth sensor, including TIME-OF-FLight (TOF), structural light, and double-dimensional matching; The second is the remote relationship between two points on the color image; the third is based on the method of learning or depth learning such as self-supervision learning, and the assistance acquisition of the network of the network is consistent. Depth map. ...

Claims

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Application Information

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IPC IPC(8): G06K9/62G06N3/08G06N20/00
CPCG06N3/08G06N20/00G06F18/214
Inventor 李昂亢兆兵李姬俊男汪神岳
Owner GUANGDONG OPPO MOBILE TELECOMM CORP LTD
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