Tencent Technology (shenzhen) Company Limited

Guangzhou Hybribio Medicine Technology Ltd.

Guangzhou Hybribio Biotech Ltd.

Jianyu Wang

Haifeng Deng

Baoli Li

Shimin Hu

Xianying Li

Ting Wang

Yisha Lu

Longxu Xie

Manli Yuan

Xiangling Li

Liang Wang

Bo Song Chen

Kun Xu

Zhe Zhu

Xiaxiang Lin

Libo Fu

Xiaofang Wu

A product for preventing and treating external genitalia infection and/or flat warts is provided, wherein the product comprises a chloroquine nanosphere. The chloroquine nanosphere comprises a water-soluble nanosphere carrier, and chloroquine or a chloroquine derivative. A mass ratio of the chloroquine or the chloroquine derivative to the water-soluble nanosphere carrier during preparation ranges from 1:3 to 1:5. A loading rate of the chloroquine or the chloroquine derivative in the prepared chloroquine nanosphere ranges from 3.0% to 21.6%. The water-soluble nanosphere carrier is water-soluble chitosan; a deacetylation degree of the water-soluble chitosan ranges from 80% to 95%, and a viscosity-average molecular weight thereof ranges from 3000 to 5000 g/mol. The chloroquine derivative is selected from one or more of hydroxychloroquine, chloroquine phosphate or chloroquine sulfate.

Chloroquine gel and preparation method and application thereof

A chloroquine gel and a preparation method and application thereof. A chloroquine nanosphere includes a water-soluble nanosphere carrier, and chloroquine or a chloroquine derivative, wherein a mass ratio of the chloroquine or the chloroquine derivative to the water-soluble nanosphere carrier is no more than 1:3.

Provided are a method and an apparatus for adjusting image brightness. The method includes: acquiring a single-channel brightness image based on grayscales of each channel of an image to be processed; performing Gaussian filtering on the single-channel brightness image to acquire a Gaussian filtered image; adjusting grayscales of the Gaussian filtered image based on the grayscales of the Gaussian filtered image and a preset proportion; acquiring a grayscale change rate of each pixel with respect to the Gaussian filtered image after adjustment and the Gaussian filtered image before adjustment; and processing the image to be processed based on the grayscale change rate of each pixel to acquire a processed image.

Method and apparatus for adjusting image brightness

Provided are a method and an apparatus for adjusting image brightness. The method includes: acquiring an image to be processed, and acquiring a single-channel brightness image based on grayscales of each channel of the image to be processed; performing Gaussian filtering on the single-channel brightness image to acquire a Gaussian filtered image; adjusting grayscales of the Gaussian filtered image based on the grayscales of the Gaussian filtered image and a preset proportion; comparing the Gaussian filtered image after adjustment with the Gaussian filtered image before adjustment to acquire a grayscale change rate of each pixel through adjustment; processing the image to be processed based on the grayscale change rate of each pixel to acquire a processed image; and outputting the processed image.

The disclosure relates to an image tone adjustment method, an apparatus thereof, and a computer-readable storage medium. The method includes: fitting overlapping areas to obtain a first correction parameter and a second correction parameter, performing interpolation on each pixel of the target image to obtain a corresponding correction parameter, correcting the target image according to the corresponding correction parameters; fitting an overlapping area between the corrected target image and the first image, and an overlapping area between the corrected target image and the second image to obtain a first RGB three-channel linear transformation parameter and a second RGB three-channel linear transformation parameter, performing linear interpolation on each pixel of the corrected target image to obtain a corresponding RGB three-channel linear transformation parameter, and transforming the corrected target image.

Image tone adjustment method, apparatus thereof and computer storage medium

A method for panoramic image completion is disclosed. The method includes: acquiring a panoramic image; obtaining a projected image by mapping pixels of the panoramic image onto a polar coordinate system, wherein a long side component of the pixel coordinate of the pixels is corresponding to the polar angle of the polar coordinate system and a short side component of the pixel coordinate of the pixels is corresponding to a radial coordinate of the polar coordinate system; acquiring an incomplete region of the projected image, and obtaining a completed image by completing the incomplete region; and obtaining a completed panoramic image by inverse mapping the pixels of the completed image according to the polar coordinate system. Furthermore, a device for panoramic image completion is also disclosed. The above method and device for panoramic image completion take account of the perspective curvature of the panoramic image, to improve the degree of restoration.

Method, device and computer-readable storage medium for panoramic image completion

Embodiments of the present invention provide a method and apparatus for training an image classifier. The method includes: A. dividing a set of training images for classifier training into a positive-example sample set and at least two negative-example sample sets; B. determining, for each negative-example sample set, a feature set for differentiating the positive-example sample set from the negative-example sample set; and C. performing training using each feature set determined to obtain a classifier. This invention also provides a method and apparatus for image recognition utilizing the image classifier.

Method and apparatus for training classifier, method and apparatus for image recognition

The examples of the present invention provide a method and apparatus for generating a video animation, and the method and apparatus relate to the animation field. The method includes: receiving a command sent by a user, determining an action corresponding to the command according to the command, and determining the total number of frames corresponding to the action and a motion coefficient of each frame; calculating an offset of each control point in each frame according to the motion coefficient of each frame, and generating a video animation according to the offset of each control point in each frame and the total number of frames. An apparatus for generating a video animation is also provided.

Method and apparatus for generating video animation

The present invention discloses a method and apparatus for changing lip shape and obtaining a lip animation in a voice-driven animation, and relate to computer technologies. The method for changing lip shape includes: obtaining audio signals and obtaining motion extent proportion of lip shape according to characteristics of the audio signals; obtaining an original lip shape model inputted by a user and generating a motion extent value of the lip shape according to the original lip shape model and the obtained motion extent proportion of the lip shape; generating a lip shape grid model set according to the obtained motion extent value of the lip shape and a preconfigured lip pronunciation model library. The method for changing lip shape in a voice-driven animation includes an obtaining module, a first generating module and a second generating module. The solutions provided by the present invention have a simple algorithm and low cost.

Method and apparatus for changing lip shape and obtaining lip animation in voice-driven animation

A sketch generating system and a method for generating a sketch based on an image are provided. The system includes: a sketch database and a generating subsystem. The sketch database stores local image samples and corresponding local sketch units in different categories. The generating subsystem extracts geometrical features from an input image, retrieves local image units from the input image according to the geometrical features; as to each local image unit retrieved, searches the sketch database for a local sketch unit corresponding to a local image sample having a largest similarity value with the local image unit, and combines all local sketch units found to form one sketch.

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Guangdong, China

Jianyu Wang