-
Notifications
You must be signed in to change notification settings - Fork 96
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
Reproducing Fig. 7 with infer.py #38
Comments
I believe this is happening due to some error in the shape network regression, it could be related to normalization. Could you please share the output of the shape network? |
Hi @sagniklp, Sorry for the delay. This is the output from the shape network (for the 13_2 file): |
This issue is resolved if you use scipy (<1.2.0) to load the image. I've updated some instructions in the infer.py accordingly. Following is the wc output you should get if you use scipy: I haven't done further digging about the difference between OpenCV and scipy imread. I guess it's documented somewhere. Thanks for bringing this to my attention! |
Hello,can you share the code of the output from the shape network?Thank you! |
Hi!
I'm trying to reproduce the unwarped images in row 3 of figure 7 in the paper but am not managing.
I'm using the infer.py file as provided in this repo, and have both tried with the models available here and here. For pytorch I'm using version 0.4.1. As input images I'm using the 4 images provided in the eval/inp folder.
For example on image 13_2 I get this result
Do you have any ideas what I might need to change in order to be able to reproduce the images in Fig. 7 of the paper?
The text was updated successfully, but these errors were encountered: