Boe Technology Group Co., Ltd.

Beijing Boe Technology Development Co., Ltd.

Hongxiang Shen

Quanguo Zhou

Jiuyang Cheng

Guolin Zhang

Jiahong Zou

Xun Huang

Kaiqin Xu

Junjie Zhao

Zhidong Wang

Hao Tang

Qing Zhang

Pengfei Zhang

Zhe Zhang

Lijia Zhou

Zhenzhong Zhang

Xiao Chu

Yaoping Wang

Ge Ou

Sujia Jiang

Zhenyan Zhao

Chuqian Zhong

Chao Ji

Naichuan Chen

Boran Jiang

Shuqi Wei

Danfeng Zhu

Ming Gu

The present disclosure relates to a method for training a natural language processing model, including: obtaining a sample text of natural language; determining one or more triples in the sample text, wherein each of the triples comprises two entities in the sample text and a relation between the two entities; processing the sample text based on the triples to obtain one or more knowledge fusion vectors; and training a natural language processing model by inputting the knowledge fusion vectors into the natural language processing model to obtain a target model.

Method, apparatus and storage medium for training natural language processing model

An unreal engine graphic construction method includes the following steps: receiving data to be displayed; determining a number N of basic graphics contained in a graphic to be constructed according to the data to be displayed, wherein, N>1; calling an underlying function at a blueprint layer to draw N of the basic graphics in sequence, wherein the underlying function is used for creating the basic graphics.

Unreal engine graphic construction method and apparatus, computer-readable storage medium

The present application discloses a method and apparatus for device configuration parameter processing, a method and apparatus for data analysis, a computing device, a computer-readable storage medium and a computer program product. The method for device configuration parameter processing includes: acquiring collection data of a collection device located at a target position, wherein the collection data is configured to be input into a content analysis model for the target position so as to obtain a content analysis result of the collection data, determining, based on the collection data, whether a current configuration parameter of the collection device has changed, sending, in response to the current configuration parameter of the collection device having changed, a preset configuration parameter for the target position to the collection device so as to adjust the current configuration parameter of the collection device based on the preset configuration parameter.

Method and apparatus for device configuration parameter processing, method and apparatus for data analysis, computing device, computer-readable storage medium and computer program product

A method for classifying an image of a displaying base plate includes: acquiring an image to be checked; from a first predetermined-type set, determining a type of the image to be checked. The first predetermined-type set includes: a first image type, a second image type and a third image type. An image of the first image type is a no-defect image, an image of the second image type is a blurred image, and an image of the third image type is a defect image. When the type of the image to be checked is the third image type, by using a first convolutional neural network, determining a defect data of the image to be checked, wherein the defect image refers to an image of a displaying base plate having a defect, and the defect data contains a defect type of the displaying base plate in the image to be checked.

Method and apparatus for classifying image of displaying base plate

Embodiments of the present application provide a method for constructing, running and implementing a cross-platform application, a terminal, a server, a system, and a non-transitory computer-readable storage medium. The method includes: obtaining a project template of the cross-platform application and information about a microprogram component corresponding to the project template of the cross-platform application, in response to an operation of selecting the project template of the cross-platform application by a user on a first platform, where the project template of the cross-platform application comprises a Flutter component based on a domain-specific language, and the Flutter component is configured to parse the microprogram component and load an interface of the microprogram component; and constructing an application on the first platform and generating an application package, based on the project template of the cross-platform application and the information about the microprogram component.

Method for constructing, running and implementing cross-platform application, terminal, server and system

An image processing method includes: receiving a processing instruction for an image; screening out a plurality of target images from a plurality of acquired images; determining a first feature value and a second feature value of the target area of each of the target images; determining a similarity between the first feature values of the target areas in every two target images according to all the determined first feature values, and determining a similarity between the second feature values of the target areas in every two target images according to all the determined second feature values; and, if a first target similarity is within a first preset range, and a second target similarity is within a second preset range, determining that a first image and a second image belong to the same image set.

Image processing method, apparatus, computer device and storage medium

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Beijing, China

Hongxiang Shen