High-precision quantization acceleration method for ultra-high-resolution image analysis

Abstract

The present invention provides a high-precision quantitative acceleration method for ultra-high resolution image analysis, which is used to improve a large amount of intermediate data calculation process in the ultra-high resolution image analysis process through quantization, and is characterized in that it includes the following steps: Step S1, obtain the accuracy α required for the final result, and obtain the accuracy β that needs to be retained in the intermediate calculation; step S2, obtain the intermediate variable X, and perform the intermediate variable X according to the accuracy β that needs to be retained in the intermediate calculation through the current calculation system γ Quantize to get the offset variable X 1 ;Step S3, based on the offset variable X 1 Carry out the calculation operation, obtain the calculation result Y1, and reserve the calculation process queue Q in the calculation process; step S4, by the calculation result Y 1 , the accuracy β that needs to be preserved in the intermediate calculation, and the calculation process queue Q to get the final result Y of the final base.

Description

technical field [0001] The invention belongs to the field of image data processing, and in particular relates to a high-precision quantization acceleration method for ultra-high resolution image analysis. Background technique [0002] According to today's development trend, the development of big data technology is in full swing, has been widely used in various fields, and penetrated into various fields of life. Due to the development of networks and hardware equipment, the scale of data collected in biomedical engineering, industrial engineering, military public security, and aerospace is gradually increasing. Taking digital video images as an example, with the development of science and technology, in order to collect more information, the resolution of video images is getting higher and higher, and as the resolution increases, the data specifications of each frame will increase. And the number of frames that can be collected per second is increasing, which will increase ...

AI Technical Summary

Problems solved by technology

However, this method only enhances efficiency by using more powerful hardware acceleration resources, and cannot essentially reduce the amount of calculation in the data processing process.

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