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In gesture recognition, we mainly use the open source code openpose provided by CMU to transform it. Due to the lack of data set, we can only use the model provided by openpose. Because we use the model, it is difficult to transform the model. When we use openpose, its environment is difficult to deal with, and its processing speed is also lacking, so we use the model After lightweight processing, the original video processing efficiency is changed from 1 ~ 3fps to 5 ~ 9fps. At the same time, we also change the original video stream processing to image stream processing to increase its efficiency and accuracy, but its speed is still different from the expected. Therefore, we should further lightweight its model to reduce its processing time |
IEEE/ICACT20210159 Slide.09
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