Target detection full-process acceleration method and system based on Vitis stack

A technology of target detection and acceleration system, applied in the field of target detection and artificial intelligence technology, to achieve the effect of strong scalability, high reusability, and saving verification time

Pending Publication Date: 2022-04-08
SUN YAT SEN UNIV +2
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However, the optimization of the whole process from data storage to...

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  • Target detection full-process acceleration method and system based on Vitis stack

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Embodiment Construction

[0042] The idea, specific structure and technical effects of the present invention will be clearly and completely described below in conjunction with the embodiments and accompanying drawings, so as to fully understand the purpose, scheme and effect of the present invention. It should be noted that, in the case of no conflict, the embodiments in the present application and the features in the embodiments can be combined with each other.

[0043] The present invention proposes a Vitis tool-based acceleration design strategy for the entire process of target detection. This design accelerates the top-down design of the neural network model to varying degrees, so that it can accelerate the throughput of the target detection algorithm on edge devices. . The design is generally divided into four parts: network model transformation, data pre-processing part, neural network acceleration part and data post-processing part.

[0044] First of all, the design converts the original networ...

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Abstract

The invention discloses a target detection full-process acceleration method and system based on a Vitis stack, and the method comprises the steps: firstly carrying out the fine adjustment of a network, then carrying out the quantification processing of a model through a vitis quantizer, and carrying out the compiling of the model through a vitis compiler, achieving the conversion of an original network model, and reducing the data size; data transformation storage and data type fixed-point processing are carried out on the host program data, so that the data parallelism degree is improved; then, task type parallel and data optimization instructions are performed on the whole process, and data operation can be accelerated; next, a hardware accelerator and a system file are respectively created through vivado and petalinux, a hardware platform is formed through vitis integration, and interactive transmission is carried out on a ps end and a pl end through an AXI bus; and finally, the optimization design of the previous steps is integrated to form full-process acceleration. According to the design, the throughput rate of deploying a neural network algorithm in an embedded field edge device can be increased, and a certain acceleration effect is achieved in the field of target detection.

Description

technical field [0001] The invention belongs to the fields of artificial intelligence technology and target detection technology, and in particular relates to a method and system for accelerating the whole process of target detection based on Vitis stack. Background technique [0002] At present, artificial intelligence is developing rapidly, and various types of neural network models continue to break through bottlenecks and performance compared with previous traditional neural network algorithms. However, in the ever-increasing amount of data, the acceleration of these software algorithms does not fully adapt to the growing applications. Therefore, a hardware accelerator is needed to accelerate the neural network algorithm by hardware. [0003] At present, hardware acceleration has a wide range of application scenarios in different fields and directions, as a major acceleration technology in the period of rapid development of artificial intelligence and integrated circuit...

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Application Information

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IPC IPC(8): G06N3/063
Inventor 胡建国夏邦杨学彬肖辉敏张月王德明
Owner SUN YAT SEN UNIV
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