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I managed to run and build the software in ubuntu 20.04. However, when I evaluate the results for car4 and room4, I found that the camera AT RMSE is 5cm and 14cm, which are much higher than the error indicated in the paper. I used scripts from https://github.com/martinruenz/dataset-tools to evaluate the result for RGBD image sequence of car4 and room4.
I have tried both the default command line arguments and the example command line arguments from dataset tools by adding
-segMinNew 0.008
-crfSmooth 1
-crfPos 0.51
But neither of them gives same results as mentioned in the paper.
Do you have any idea what could be the reason? Could you share the parameters that I can use to reproduce the result? Thanks!
The text was updated successfully, but these errors were encountered:
I also tried to run it on these two sequences recently. I used the example command line arguments from dataset tools as well. The ATE of car4 and room4 I obtained are 2.7cm and 1.4cm respectively. Although they are still not as good as the ones reported in the paper, they look more promising than yours.
Could you share more details about the command you used to run it? For example, did you specify the calibration parameters using -cal. This would be a possible reason you obtained such a large ATE.
@EdwardjkFeng Thanks for your reply. I was on another project and just started to pick up this project recently.
I am using exactly the same command as you. I build the project in docker nvidia/cuda:11.5.2-devel-ubuntu20.04 image.
Here is the dockerfile Dockerfile.txt
Could you maybe share more information about your environment, and your estimated pose files? Then I can evaluate the error on your estimated pose file at my side, to rule out any problem in the evaluation script.
Hi,
I managed to run and build the software in ubuntu 20.04. However, when I evaluate the results for car4 and room4, I found that the camera AT RMSE is 5cm and 14cm, which are much higher than the error indicated in the paper. I used scripts from https://github.com/martinruenz/dataset-tools to evaluate the result for RGBD image sequence of car4 and room4.
I have tried both the default command line arguments and the example command line arguments from dataset tools by adding
-segMinNew 0.008
-crfSmooth 1
-crfPos 0.51
But neither of them gives same results as mentioned in the paper.
Do you have any idea what could be the reason? Could you share the parameters that I can use to reproduce the result? Thanks!
The text was updated successfully, but these errors were encountered: