Beijing Baidu Netcom Science Technology Co., Ltd

Beijing Dajia Internet Information Technology Co., Ltd.

Zhen Lu

Deguo Xia

Jianzhong Yang

Hui Zhao

Jizhou Huang

Bin Wu

Kai Zhong

Junjie Cai

Tongbin Zhang

Tianyu Zhang

Man Li

Le Li

Yuting Liu

Liuhui Zhang

Zhuang Li

Hongxia Bai

Tingting Cao

Yizhou Liu

Dejin Ge

Keyu Pan

Wenwen Yu

Xiyan Liu

Qingyuan Jia

Xiaokun Liu

A method of rectifying a text image, a training method, an electronic device, and a medium, which relate to a field of an artificial intelligence technology, in particular to fields of computer vision, deep learning technology, intelligent transportation and high-precision maps. An exemplary implementation includes: performing, based on a gating strategy, a plurality of first layer-wise processing on a text image to be rectified, so as to obtain respective feature maps of a plurality of layer levels, wherein each of the feature maps includes a text structural feature related to the text image to be rectified, and the gating strategy is configured to increase an attention to the text structural feature; and performing a plurality of second layer-wise processing on the respective feature maps of the plurality of layer levels, so as to obtain a rectified text image corresponding to the text image to be rectified.

Method of rectifying text image, training method, electronic device, and medium

A method and apparatus for processing an image. The method may include: acquiring a top view of a road; identifying a position of a lane line from the top view; cutting the top view into at least two areas, and determining, according to the position of the lane line in each area, a width of a lane in the each area and an average width of the lane in the top view; calculating a first perspective correction matrix by optimizing a first loss function, the first loss function being used to represent a difference between the width of the lane in the each area and the average width of the lane in the top view; and performing a lateral correction on the top view through the first perspective correction matrix to obtain a first corrected image.

Method and apparatus for correcting perspective of road image

A point cloud registration method, apparatus, device, and storage medium are provided. The method includes: acquiring target point cloud data; dividing the target point cloud data into a plurality of point cloud sets; determining a coincidence degree between every two point cloud sets and determining a fixed point cloud set and a registration point cloud set from two point cloud sets with a coincidence degree between the two point cloud sets being greater than a preset threshold; determining a target registration matrix between the fixed point cloud set and the registration point cloud set; and performing registration of the fixed point cloud set with the registration point cloud set according to the target registration matrix.

Point cloud registration method, apparatus, device and storage medium

A method of updating map data, an electronic device, and a storage medium, which relate to a field of computer technology, and in particular to intelligent transportation technology. The method of updating map data includes: acquiring a traffic event text, where the traffic event text includes location data and reference direction data; determining candidate road data in the map data based on the location data; determining target road data from the candidate road data based on the reference direction data; updating the target road data based on the traffic event text.

Method of updating map data, electronic device and storage medium

The present application discloses a map data updating method, an apparatus, a device and a readable storage medium. The specific implementation solution is: after receiving road information reported by an electronic device, a server obtains multiple sequences according to the road information, and each road information belonging to the same sequence has the same type and location. After that, the server inputs each road information contained in the sequences to a pre-trained neural network model, so that the neural network model outputs a recognition result according to the sequences. The server updates map data according to the recognition result. With such solution, valid road information is recognized by combining context of each road information in the sequences and the neural network technology, and the map data is updated, which achieves the purpose of accurately updating the map data.

Map data updating method, apparatus, device, and readable storage medium

A method for processing an image, an electronic device and a storage medium are provided. The method includes acquiring a first face image; extracting a face highlight area from the first face image, in which the face highlight area is an area having a brightness value not lower than a first predetermined brightness threshold in a face area of the first face image; obtaining a second face image by decreasing the brightness value of the face highlight area based on a predetermined highlight darkening parameter; obtaining a third face image by converting a color format of the second face image into a RGB color format and decreasing an intensity of each color channel of each pixel in the second face image, and obtaining a target face image by blending the third face image and the first face image.

Method and apparatus for image processing

A method for processing images may include: acquiring a first mask image based on a portrait image, wherein the first mask image represents a hair area in the portrait image; acquiring a first portrait image including the hair area based on the first mask image and a color lookup table; acquiring a second portrait image including a non-hair area based on the first mask image; and acquiring a target image by interpolating and blending the first portrait image with the second portrait image.

Method and electronic device for processing images

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Beijing, China

Zhen Lu