tjiiv-cprg / EPro-PnP-v2

[TPAMI 2024] EPro-PnP: Generalized End-to-End Probabilistic Perspective-n-Points for Monocular Object Pose Estimation
https://arxiv.org/abs/2303.12787
MIT License
129 stars 8 forks source link

torchvision requires a python version > 3.8 #1

Open saeedEnte opened 11 months ago

saeedEnte commented 11 months ago
Lakonik commented 11 months ago

Hi! I think it's ok to setup the environment using pip. Using python 3.8 should also be fine if you can setup the environment properly.

saeedEnte commented 11 months ago

Thank you so much for the answer @Lakonik ,

I have tried it with a python version 3.8 and setting up the env with pip was successful. Btw, Do we have any script for running the model (inferencing) with a random image?

Lakonik commented 11 months ago

EPro-PnP-Det does have an inference script.

saeedEnte commented 11 months ago

Tanks for the answer, As my task is pose-estimation, I was wondering to know if there is a script for EPro-PnP-6DoF.

Lakonik commented 11 months ago

Ah ok, but unfortunately we don't have a script for EPro-PnP-6DoF yet