About dgp : get_datum_index_for_datum_name

[haoweiz23]

Hi, thanks for your great work. I followed https://github.com/TRI-ML/dgp/blob/master/docs/VIRTUAL_ENV.md to build a dgp enviroment. But when I run the the generate_depth_map function, some errors happen:

packnet-sfm/packnet_sfm/datasets/dgp_dataset.py

Line 150 in f59b1d6

pc_datum_idx_in_sample = self.dataset.get_datum_index_for_datum_name(

it notice "get_datum_index_for_datum_name" cannot be found. So I guess the dgp version I install is not compatible with your code. Could you please provide the used dgp version of your code? Or, Do you have any description about this dgp library so I can replace or reproduce this fuction?

Thanks!

[VitorGuizilini-TRI]

Can you try this DGP checkout: 9617e65ad351558636de5586a48db848eab578c6?

[haoweiz23]

Can you try this DGP checkout: 9617e65ad351558636de5586a48db848eab578c6?

Thanks for your reply! It works.

[haoweiz23]

@VitorGuizilini-TRI Sorry to bother you again, this checkout have the "get_datum_index_for_datum_name" function I metioned above, but it cannot be correctly installed. Some error happens when I run "pip install --editable . "

ERROR: Command errored out with exit status 1: python setup.py egg_info Check the logs for full command output.

[robin-karlsson0]

@VitorGuizilini-TRI @LionRoarRoar
Hi guys. Just letting you know that I'm experiencing the same problem. Cannot launch the training or eval processes for train_packnet_san_ddad.yaml. Could not get the old dgp commit to work either.

Hoping that the packnet-sfm's interface to dgp can get an update? (Or perhaps it is easier to just modify the KITTI dataloader to work on DDAD?)

[robin-karlsson0]

Referring to #192, I managed to run train_packnet_san_ddad.yaml by

1. Installing the latest dgp version
2. Revert to the old commit
3. Copy the file dgp/utils/pose.py from the latest master into the old commit.

Can confirm that training runs with a Avg.loss decreasing. Validation runs as well. Hoping this hacky setup will not affect the quality of the results 😅

[AIGC-newbee]

Referring to #192, I managed to run train_packnet_san_ddad.yaml by

1. Installing the latest dgp version
2. Revert to the old commit
3. Copy the file dgp/utils/pose.py from the latest master into the old commit.

Can confirm that training runs with a Avg.loss decreasing. Validation runs as well. Hoping this hacky setup will not affect the quality of the results 😅

@robin-karlsson0 Thank you, your reply really helped me XD.!!!
If you met the same issue, do following steps:

1. cd /workspace/dpg
2. cp dpg/uitls/pose.py /workspace
3. git checkout -b 9617e65ad351558636de5586a48db848eab578c6
4. cp /workspace/pose.py dgp/utils
   Done!