Open luckyday2022 opened 10 months ago
Hi @luckyday2022 , the difference between the two lies in the definition. For the position in the gt data set to be an absolute position, the center of gt needs to be subtracted. For network prediction, our definition is the position offset relative to the center. So there is no need to subtract center again when outputting.
When training a model, don’t we need to subtract the root joint from the model’s output (out)?
Why are GT and OUT inconsistent?