Cloud intelligent image processing system and application method thereof

Abstract

The invention relates to the field of image processing, and provides a cloud intelligent image processing system and an application method thereof, and the method comprises the steps: determining a preloading demand of an AR model according to a high-frequency feature set, and transmitting corresponding model data from an external storage to a special memory through a GPU calculation unit to generate a preloading data set; a voice instruction data stream is obtained, and a DSP calculation unit directly calls an FPGA shared cache to generate a scheduling instruction set according to an instruction sequence with the real-time requirement higher than a preset threshold value; for the multi-modal feature group, the GPU computing unit adopts a data layout optimization technology to adjust memory allocation, and the feature group is processed through a matrix transformation algorithm to generate an optimized data block; and adjusting the data updating frequency of the local cache and the shared cache according to a matching result, and if the matching degree is higher than a preset threshold value, updating the cache content by adopting a sliding window algorithm to generate a new cache set.

Images