Tf-pose-estimation: What is the meaning of 'upsample_size'

Created on 13 Aug 2018  路  4Comments  路  Source: ildoonet/tf-pose-estimation

in the code ' humans = e.inference(image, upsample_size=4.0)'
I test the number '4.0' affect the accuracy of skeleton node, but what is the relationship of it?

Most helpful comment

There's no such thing as a recommended value, its entirely based on your priority over speed or accuracy. I would say the default 4.0 is a good trade off and gives a combination of speed and accuracy.

All 4 comments

It determines the size of the heatmap during the postprocessing. The higher the size of the heatmap during postprocessing the more accurate the results. However, the postprocessing speed reduces simultaneously.

@shreyasrajesh
Thanks for your help, and may I ask are there has a recommended value of it? I saw the default setting is 4.0, it is a suitable value? Thanks

There's no such thing as a recommended value, its entirely based on your priority over speed or accuracy. I would say the default 4.0 is a good trade off and gives a combination of speed and accuracy.

Well, I try the default setting, thanks for your answer
Best regards

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