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mks0601 / I2L-MeshNet_RELEASE

Official PyTorch implementation of "I2L-MeshNet: Image-to-Lixel Prediction Network for Accurate 3D Human Pose and Mesh Estimation from a Single RGB Image", ECCV 2020
MIT License
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What FPS could we expect for the inference time? #37

Closed Zrrr1997 closed 3 years ago

Zrrr1997 commented 3 years ago

Have you done an estimation of the time it takes for the inference + rendering? Is it possible to use this model in real time applications, for example ~10 FPS? How much will the inference time increase if we have multiple people?

Let's say I am using YOLOv4 as a detection pipeline, so we can ignore the detection overhead.

mks0601 commented 3 years ago

I2L-MeshNet runs at 50fps for each person as written in the paper. This time does not include the rendering, but I think rendering will take marginal time.