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公开(公告)号：US20240303880A1
公开(公告)日：2024-09-12
申请号：US18020903
申请日：2022-07-25
Inventor： Zhanguo CHANG , Yi LV , Tiansheng DENG , Ting YUN
CPC classification number: G06T11/203 , G06T3/02 , G06T3/60 , G06T7/10 , G06T11/60
Abstract: A method of generating an image sample, which relates to a field of an artificial intelligence technology, in particular to fields of a deep learning technology and a computer vision technology. The method includes: generating a handwritten text image according to at least one handwritten sample image; and generating a target sample image with an annotation box according to the handwritten text image and a background image, where the annotation box is used to represent a region in which the handwritten text image is located in the background image. The present disclosure further provides a method of recognizing a text, an electronic device and a storage medium.
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公开(公告)号：US20210195170A1
公开(公告)日：2021-06-24
申请号：US16985123
申请日：2020-08-04
Inventor： Tianbao YU , Tiansheng DENG , Peng DU , Ting YUN
Abstract: The present disclosure provides a video jitter detection method and an apparatus. The video jitter detection method includes: acquiring a video; inputting the video into a detection model to obtain an evaluation value of the video, where the evaluation value is used to indicate a degree of jitter of the video; where the detection model is a model obtained by training using video samples in a video sample set as inputs and evaluation values of the video samples in the video sample set as outputs. By inputting the video to be detected into the detection model, the evaluation value of the video can be acquired through the detection model, thereby whether the video is jittery is determined, which realizes the video jitter detection end-to-end, and improves the detection accuracy and robustness of video jitter.
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