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

How can I reduce the execution time of numpy.linalg.norm()? #18

Open
12345data opened this issue Dec 9, 2019 · 3 comments
Open

How can I reduce the execution time of numpy.linalg.norm()? #18

12345data opened this issue Dec 9, 2019 · 3 comments

Comments

@12345data
Copy link

While executing the script found that the numpy.linalg.norm() process is taking much time for execution. I have tried by reducing the number of points passed to the function and got better throughput but not such satisfiable for me. In the current situation, it is taking about 3-4 seconds for one comparison. How can I reduce it to below 1 second without much compromising the accuracy.

@corin-lyz
Copy link

Does your experiment have good performance? about multi-sensor images?

@corin-lyz
Copy link

Does your experiment have good performance? about multi-sensor images?

Have you solved this problem?

@uzpaka
Copy link

uzpaka commented Jan 7, 2020

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

3 participants