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公开(公告)号：US12020142B2
公开(公告)日：2024-06-25
申请号：US16659888
申请日：2019-10-22
发明人： Xiao Long Zhu , Yi Tong Wang , Kai Ning Huang , Lijian Mei , Shenghui Huang , Jingmin Luo
摘要： Embodiments of this application provide a neural network model deployment method, a prediction method and a device. The described features can implement deployment of a neural network model to improve the universality of the deployment of the neural network model to the terminal device by obtaining a layer definition and an operation parameter of each network layer of an initial neural network model, executing a target network layer corresponding to the network layers, applying relational connections amongst the target network layers using a net class, converting the operation parameters into a preset format, obtaining a target operation parameter based on the preset format, loading a corresponding target operation parameter in the target network layer, and obtaining a target neural network model based on the target operation parameter.
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公开(公告)号：US11715497B2
公开(公告)日：2023-08-01
申请号：US17314231
申请日：2021-05-07
发明人： Xiao Long Zhu , Shenghui Huang , Lijian Mei , Wei Dong Chen , Shao Bin Lin , Yi Tong Wang , Xing Ji , Jie Fan , Min Luo , Wanyu Huang , Yuan Fang , Ren Jian Chen
摘要： A video editing method, apparatus and storage medium are provided. The method includes obtaining an object, the object including one or more images; determining a content element of the object for video editing, the content element having a content type identifier; determining a material set identifier corresponding to the content type identifier according to a first behavior tree logic; determining a video editing material set corresponding to the material set identifier; and obtaining an edited video according to the content element and the video editing material set.
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公开(公告)号：US20210264952A1
公开(公告)日：2021-08-26
申请号：US17314231
申请日：2021-05-07
发明人： Xiao Long ZHU , Shenghui Huang , Lijian Mei , Wei Dong Chen , Shao Bin Lin , Yi Tong Wang , Xing Ji , Jie Fan , Min Luo , Wanyu Huang , Yuan Fang , Ren Jian Chen
摘要： A video editing method, apparatus and storage medium are provided. The method includes obtaining an object, the object including one or more images; determining a content element of the object for video editing, the content element having a content type identifier; determining a material set identifier corresponding to the content type identifier according to a first behavior tree logic; determining a video editing material set corresponding to the material set identifier; and obtaining an edited video according to the content element and the video editing material set.
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公开(公告)号：US11417095B2
公开(公告)日：2022-08-16
申请号：US16685526
申请日：2019-11-15
发明人： Xiaolong Zhu , Kaining Huang , Jingmin Luo , Lijian Mei , Shenghui Huang , Yongsen Zheng , Yitong Wang , Haozhi Huang
摘要： An image recognition method is provided. The method includes obtaining predicted locations of joints of a target person in a to-be-recognized image based on a joint prediction model, where the joint prediction model is pre-constructed by: obtaining a plurality of sample images; inputting training features of the sample images and a body model feature to a neural network and obtaining predicted locations of joints in the sample images outputted by the neural network; updating a body extraction parameter and an alignment parameter; and inputting the training features of the sample images and the body model feature to the neural network to obtain the joint prediction model.
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公开(公告)号：US11200680B2
公开(公告)日：2021-12-14
申请号：US16671747
申请日：2019-11-01
发明人： Xiaolong Zhu , Kaining Huang , Jingmin Luo , Lijian Mei , Shenghui Huang , Yongsen Zheng , Yitong Wang , Haozhi Huang
摘要： An image processing method and a related apparatus are provided. The method is applied to an image processing device, and includes: obtaining an original image, the original image including a foreground object; extracting a foreground region from the original image through a deep neural network; identifying pixels of the foreground object from the foreground region; forming a mask according to the pixels of the foreground object, the mask including mask values corresponding to the pixels of the foreground object; and extracting the foreground object from the original image according to the mask.
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公开(公告)号：US10891799B2
公开(公告)日：2021-01-12
申请号：US16680058
申请日：2019-11-11
发明人： Xiaolong Zhu , Yitong Wang , Kaining Huang , Lijian Mei , Shenghui Huang , Jingmin Luo
摘要： An augmented reality processing method is provided for a terminal. The method includes: obtaining a plurality of frames of images, comprising a first image and a second image, which is a frame of an image immediately following the first image; obtaining a key point set of a first object in the first image; obtaining, through a neural network model, first pose key point sets respectively corresponding to a plurality of objects in the second image; determining a second pose key point set of the first object in the second image according to the key point set and a motion trend of the first object; using a target first pose key point set as a key point set of the first object in the second image; and generating an augmented information image according to the key point set of the first object in the second image.
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