A method of managing machine and related apparatus
A technology of machine and main machine, applied in the field of development platform, can solve problems such as unsatisfactory
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Embodiment 2
[0079] Embodiment 2. A method for identifying illegal pictures;
[0080] In practical applications, with the popularization of artificial intelligence deep learning, deep learning is now used to intelligently identify whether a picture contains pornographic content. In general, deep learning consumes computer resources. For live broadcast platforms, there are tens of thousands of live broadcast rooms at the same time, and screenshots of the live broadcast room content must be taken every preset 30 seconds to check whether it contains pornographic content. Therefore, a dedicated deep learning machine with a large number of graphics processing unit (GPU) computing resources will be used. For the pornography service framework, it is necessary to make good use of the deep learning machine, and make the program more robust, while being able to cover all the live broadcast rooms of the live broadcast platform. Therefore, this article provides a method for identifying illegal pictures....
Embodiment 3
[0122] Embodiment 3. A task scheduling method;
[0123] In addition, for the pornography service framework, when the number of simultaneous broadcasts in the live room is relatively large, it will cause a lot of requests, and it is very likely that the number of requests at the same time is very large, which will cause many requests to time out and not be processed. So based on the machines with multiple recognition services, how to design reasonably so that all requested tasks will not cause timeout or discarding, and at the same time, multiple recognition machines can perform full-load recognition tasks without causing one recognition There are many tasks, and other machines are idle. Based on this, this article designs all the pornographic identification requests on the master machine as a cache queue. At the same time, a load-balancing scheduling control is also designed on the master machine, so that tasks are distributed as evenly as possible to different machines. When a ...
Embodiment 4
[0181] Embodiment 4. A picture recognition method;
[0182] For the pornography recognition service in this article, each image will use GPU resources, and GPU is the core resource in the entire recognition, and it is also the resource that is most likely to cause bottlenecks. Through the operation of the entire system, this article finds that For the live broadcast room, the strategy of using a preset time duration was adopted to intercept the pictures in the video for identification. It was found that in many cases, the content of the live broadcast room did not change much in a continuous period of time. It is understandable that if the pictures are similar, the corresponding recognition results are also similar. Therefore, the similarity of the pictures can be recognized by the GPU algorithm. If the pictures are similar, the previous recognition results will be returned directly, so that the GPU identification resources to reduce the possibility of bottlenecks. Then you need...
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