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

The predicted skeleton is slightly deviated from the body #8

Open
RuWang15 opened this issue Oct 25, 2017 · 5 comments
Open

The predicted skeleton is slightly deviated from the body #8

RuWang15 opened this issue Oct 25, 2017 · 5 comments

Comments

@RuWang15
Copy link

I tested the demo on many images. The processing speed is relatively fast, but usually some parts of the predicted skeleton is somewhat deviated from the body to the upper left. Why is that?

@Fang-Haoshu
Copy link
Member

Hi! Thanks for reaching out. The problem may be that we crop the single person image first and re-project the pose results to the original space at last, and this procedure might introduce some small bias. You can add 1 pixel to the final pose results.

@RuWang15
Copy link
Author

Thanks for your reply! Now I want to implement the demo on VS2015, but your version of caffe doesn't support Win well. Installing caffe on VS is really frustrating and I'm still trying... Do you have any plan to develop a windows version or can you give me some tips on installing it? Thank you!

@Fang-Haoshu
Copy link
Member

Hi,
Sorry, I haven't implemented it on Windows and have no plan to do so. I am not familiar with Caffe on Win...

Hope you can figure it out soon!

@RuWang15
Copy link
Author

RuWang15 commented Dec 3, 2017

I add some of your layers in caffe-win, and try as I might, I cannot run VGG_SSD model successfully. But fortunately I can run shg+sstn model with a bounding box detected by myself...
Moreover, I found that the res param in function transformBoxInvert() should be a little bit smaller than 64, so that the points can be zoomed properly...Is there an exact number that can produce precise result?

@Fang-Haoshu
Copy link
Member

Congratulations!
Sorry, I didn't experience with that...

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

2 participants