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Sample data preprocessing method and device and computer readable storage medium

A sample data and preprocessing technology, applied in the field of machine learning, can solve the problems of the influence of neural network training, the inaccuracy and completeness of manual labeling information, etc., to achieve the effect of improving accuracy and reliability

Pending Publication Date: 2021-09-17
BEIKE TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

It should be pointed out that the artificially labeled information in the 3D point cloud data may not be accurate and complete, which will have a negative impact on the training of the neural network.

Method used

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  • Sample data preprocessing method and device and computer readable storage medium
  • Sample data preprocessing method and device and computer readable storage medium
  • Sample data preprocessing method and device and computer readable storage medium

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Embodiment Construction

[0072] Hereinafter, exemplary embodiments according to the present disclosure will be described in detail with reference to the accompanying drawings. Apparently, the described embodiments are only some of the embodiments of the present disclosure, rather than all the embodiments of the present disclosure, and it should be understood that the present disclosure is not limited by the exemplary embodiments described here.

[0073] It should be noted that relative arrangements of components and steps, numerical expressions and numerical values ​​set forth in these embodiments do not limit the scope of the present disclosure unless specifically stated otherwise.

[0074] Those skilled in the art can understand that terms such as "first" and "second" in the embodiments of the present disclosure are only used to distinguish different steps, devices or modules, etc. necessary logical sequence.

[0075] It should also be understood that in the embodiments of the present disclosure, "...

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Abstract

The embodiment of the invention discloses a sample data preprocessing method and device and a computer readable storage medium. The method comprises the following steps: extracting a surface model of a scene in a space from three-dimensional point cloud data of the space, wherein the surface model is represented by N triangular meshes; extracting M feature planes from the N triangular meshes; determining category labels of the M feature planes according to the three-dimensional point cloud data; determining a training point set according to the M feature planes; and according to the category labels of the M feature planes, determining the category label of each point in the training point set, wherein the training point set and the category label of each point in the training point set are used as samples for training the neural network. According to the embodiment of the invention, adverse effects on training of the neural network caused by inaccurate and incomplete manual annotation information can be avoided, so that the accuracy and reliability of the trained neural network can be improved.

Description

technical field [0001] The present disclosure relates to the technical field of machine learning, and in particular to a sample data preprocessing method, device and computer-readable storage medium. Background technique [0002] With the improvement of hardware level and data acquisition technology, the threshold for obtaining large-scale indoor scene point cloud data (such as 3D point cloud data of houses) is getting lower and lower. [0003] In some cases, after obtaining the 3D point cloud data of the house, it is necessary to use the 3D point cloud data with each point manually labeled with a category label to train the required neural network (such as a neural network for feature extraction). It should be pointed out that the manual annotation information in the 3D point cloud data may not be accurate and complete, which will have a negative impact on the training of the neural network. Contents of the invention [0004] In order to solve the above-mentioned technic...

Claims

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Application Information

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IPC IPC(8): G06K9/62G06N3/04G06N3/08
CPCG06N3/08G06N3/045G06F18/241G06F18/214
Inventor 方昊潘慈辉孙小飞
Owner BEIKE TECH CO LTD