Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Why are there two more lines when using 'Multiple trajectory estimates'? #37

Open
wwendy233 opened this issue Apr 26, 2021 · 6 comments

Comments

@wwendy233
Copy link

wwendy233 commented Apr 26, 2021

Just like the red and orange lines in the picture.

image

This is the command I used in Ubuntu 18.04:
python2 analyze_trajectories.py euroc_vislam_mono.yaml --output_dir=../results/euroc_vislam_mono/ --results_dir=../results/euroc_vislam_mono/ --platform laptop --odometry_error_per_dataset --plot_trajectories --rmse_table --rmse_boxplot --mul_trials=10

@wwendy233 wwendy233 changed the title Why are there two more lines when evaluating with multiple trajectories Why are there two more lines when using 'Multiple trajectory estimates'? Apr 26, 2021
@JunsukLee
Copy link

I have the same problem. Why is that?

@anandvgeorge
Copy link

Hey! Do anyone know what are those points or how to remove them?

@anandvgeorge
Copy link

anandvgeorge commented Sep 6, 2021

Hey! I think this issue happens because of the colour settings given in ax.plot(). Currently, for the multiple algorithms option, the colours are chosen based on the colour palette defined. They are defined in a list as rgb values. When I change that to any other definition, the issue goes. So, I have changed the definition of palette as below.

PALLETE = ["#c96840","#8675ca","#9b9d3f","#c9578c","#50ac72"]

I get below plot now.

image

@calmelo
Copy link

calmelo commented Sep 8, 2021

Hey! I think this issue happens because of the colour settings given in ax.plot(). Currently, for the multiple algorithms option, the colours are chosen based on the colour palette defined. They are defined in a list as rgb values. When I change that to any other definition, the issue goes. So, I have changed the definition of palette as below.

PALLETE = ["#c96840","#8675ca","#9b9d3f","#c9578c","#50ac72"]

I get below plot now.

image

Why is it useful?

@fallow24
Copy link

Hey! I think this issue happens because of the colour settings given in ax.plot(). Currently, for the multiple algorithms option, the colours are chosen based on the colour palette defined. They are defined in a list as rgb values. When I change that to any other definition, the issue goes. So, I have changed the definition of palette as below.

PALLETE = ["#c96840","#8675ca","#9b9d3f","#c9578c","#50ac72"]

I get below plot now.

image

Nice workaround. Thanks so much!!

@whw-create
Copy link

amazing,do you know the reason of this problem?

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

6 participants