AugmentedAutoencoder
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Official Code: Implicit 3D Orientation Learning for 6D Object Detection from RGB Images
Hey everyone, First of all, I would like to thank you again for this great repo and especially @MartinSmeyer for his contribution. I am using the AAE pipeline alongside **Mask...
Bumps [numpy](https://github.com/numpy/numpy) from 1.17 to 1.22.0. Release notes Sourced from numpy's releases. v1.22.0 NumPy 1.22.0 Release Notes NumPy 1.22.0 is a big release featuring the work of 153 contributors spread...
**Describe the bug** When I tried to train the model, the following error occurred and failed to do it. Is it possible for your environment to train it? ```sh ser@user-VirtualBox:~$...
Hi, Thank you for sharing the code. I tried downloading the data multiple times but failed.
What is the compatible auto-pose version? I'm trying to run an inference from the model weights. So I was setting this up locally, and the configurations given in the [aae_py37_tf26.yml](https://github.com/DLR-RM/AugmentedAutoencoder/blob/master/aae_py37_tf26.yml)...
Hi Martin, I'm working on a similar pose estimation project using autoencoder, and I would like to enquire about how to implement the ICP refinement. The situation is: I have...
**Describe the bug** HI, I encounter a bug when testing with command "ae_train exp_group/my_mpencoder ", and it always comes out with the same output like this: "tensorflow.python.framework.errors_impl.OutOfRangeError: 2 root error(s)...
Tried following the instructions to reproduce, but lots of dependencies are not available anymore (from the conda yml provided).
the predicted image is not in the as rotation as orignal.can someone help