Hardware acceleration method based on tracking algorithm

Abstract

The invention discloses a hardware acceleration method based on a tracking algorithm. The method comprises the following steps: S1, receiving and segmenting data stream information by hardware; S2, distributing, by the CPU, the compressed video data to the GPU and the APU for processing; S3, by the GPU and the APU, carrying out post-processing on the video data stream through the algorithms of the GPU and the APU; S4, performing algorithm parallelization on the algorithm processing process of the video data stream; S5, receiving and playing the processed video data stream by the CPU. According to the method, the data information is divided, so that the data information can be divided into a plurality of small blocks to be processed, the accelerated operation of hardware can be effectively improved, and when the hardware is processed, the operation speed of the hardware can be effectively improved by adopting algorithm parallelization, data parallelization and operation parallelization; and the running speed and efficiency of hardware are improved.

Description

technical field [0001] The invention belongs to the technical field of hardware acceleration, and in particular relates to a hardware acceleration method based on a tracking algorithm. Background technique [0002] Hardware acceleration refers to the technology of reducing the workload of the central processing unit by allocating very heavy calculation work to specialized hardware for processing in the computer. Especially in image processing, this technology is often used. The structure of the central processing unit enables it to complete various instructions in a short time. What instructions it can handle is mainly limited by software. But due to the structure of the CPU some repetitive tasks cannot be processed very efficiently and quickly. These special hardware components don't have to be as flexible as the CPU, so their hardware design has taken into account the need to optimally handle these special problems, so that the CPU has time to deal with other tasks. Som...

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Problems solved by technology

Therefore, the frequency of the parallel computing processor does not need to be too high, and the energy used is relatively small. However, various hardware accelerations on the market still have various problems.

[0003] Such as the target detection hardware accelerator and acceleration method disclosed by the authorized announcement number CN112230884B, although it can reduce the time and power consumption required by the accelerator for data handling, and improve The work efficiency of the accelerator, but it does not solve the problem that the existing hardware acceleration technology cannot realize the acquisition of the target through the tracking algorithm algorithm, realize the precise processing of the target that needs to be detected, and then realize the acceleration of the hardware. For this reason, we Propose a hardware acceleration method based on tracking algorithm

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