Video stream processing method and device, electronic equipment and storage medium
A technology of electronic equipment and processing method, which is applied in the computer field, can solve the problem that multiple video streams require a large number of servers, and achieve the effects of reducing communication pressure, increasing the number, and saving CPU resources
Active Publication Date: 2018-11-30
SHENZHEN SENSETIME TECH CO LTD
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Problems solved by technology
However, in related technologies, it is difficult to efficiently process these massive video data in large quantities. A single 2U server can only process 4 to 8 video streams, and multiple video streams can reach 1000 Mbps, occupying a large amount of CPU resources. A large number of servers are required to process multiple video streams acquired by dense HD cameras
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[0078] Various exemplary embodiments, features, and aspects of the present disclosure will be described in detail below with reference to the accompanying drawings. The same reference numbers in the figures indicate functionally identical or similar elements. While various aspects of the embodiments are shown in drawings, the drawings are not necessarily drawn to scale unless specifically indicated.
[0079] The word "exemplary" is used exclusively herein to mean "serving as an example, embodiment, or illustration." Any embodiment described herein as "exemplary" is not necessarily to be construed as superior or better than other embodiments.
[0080] In addition, in order to better illustrate the present disclosure, numerous specific details are given in the following specific implementation manners. It will be understood by those skilled in the art that the present disclosure may be practiced without some of the specific details. In some instances, methods, means, componen...
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The disclosure relates to a video stream processing method, a video stream processing device, electronic equipment, and a storage medium. The method comprises the following steps: processing a video stream by a CPU, and transmitting the processed first video stream to a GPU; decoding the first video stream by using the GPU to obtain a second video stream; detecting, by the GPU, the second video stream to obtain a target video frame having a target object; and extracting, by the GPU, feature information of the target object in the target video frame and header information of the target video frame. According to the video stream processing method provided by the embodiment of the disclosure, the video stream is processed by the GPU to obtain the feature information of the target object and the header information of the target video frame so as to fully utilize the performance of the GPU, and the feature information of the target object and the header information of the target video frameare sent to the CPU, thereby reducing the communication pressure between the GPU and the CPU, saving CPU resources, and improving the processing efficiency of the video stream.
Description
technical field [0001] The present disclosure relates to the field of computer technologies, and in particular to a video stream processing method and device, electronic equipment and storage media. Background technique [0002] The core of dynamic face recognition is face analysis technology, which is to convert face image data into face structured information, such as: face coordinate frame, face attributes and face features based on deep learning technology. With the strengthening of security management, dense high-definition camera surveillance networks have been deployed on many occasions. However, in related technologies, it is difficult to efficiently process these massive video data in large quantities. A single 2U server can only process 4 to 8 video streams, and multiple video streams can reach 1000 Mbps, occupying a large amount of CPU resources. To handle multiple video streams from dense HD cameras requires a large number of servers. Contents of the invention...
Claims
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Login to View More IPC IPC(8): H04N7/18H04N21/44
CPCH04N7/181H04N21/44
Inventor 张帅陈万里孙栋梁刘祖希温祖钦张广程
Owner SHENZHEN SENSETIME TECH CO LTD