CalvinBackup/neuralchen-SimSwap
1
0
Fork 0
Code Issues 288 Pull Requests 16 Actions Packages Projects Releases 2 Wiki Activity

Questiones about training results. #27

New Issue
Open
opened 2021-06-29 14:32:47 +02:00 by Seanseattle · 2 comments
Seanseattle commented 2021-06-29 14:32:47 +02:00 (Migrated from github.com)
Copy Link

Thanks for your wonderful work and opening the source codes. I have implemented the training codes. To make the background stable, I predict the mask and merge the generated image with the target image as 39e0c2ea53/models/networks.py (L559) However, it seems hard to train, the generated image is totally similar to the target image and doesn't swap the face. I have trained 500K iterations. Do you have any idea to solve this problem?
image
The generated images are in the third row.

Thanks for your wonderful work and opening the source codes. I have implemented the training codes. To make the background stable, I predict the mask and merge the generated image with the target image as https://github.com/neuralchen/SimSwap/blob/39e0c2ea53a94120092ba8ed45f66e8258323e00/models/networks.py#L559 However, it seems hard to train, the generated image is totally similar to the target image and doesn't swap the face. I have trained 500K iterations. Do you have any idea to solve this problem? ![image](https://user-images.githubusercontent.com/19276714/123797343-abd15f80-d918-11eb-96a3-2f03178f9f55.png) The generated images are in the third row.
👍 1
NNNNAI commented 2021-07-02 16:26:07 +02:00 (Migrated from github.com)
Copy Link

Thanks for your attention to our work. I recomment you to use the default mode "opt.model == 'pix2pixHD" to reprodeuce the base performance. Because I couldn't see your code, I couldn't locate the specific problem. You can first try the default mode to see if the results can be produced. If the results still cannot be produced, please let me know and I will help you further solve the problem. Many thanks~.

Thanks for your attention to our work. I recomment you to use the default mode "opt.model == 'pix2pixHD" to reprodeuce the base performance. Because I couldn't see your code, I couldn't locate the specific problem. You can first try the default mode to see if the results can be produced. If the results still cannot be produced, please let me know and I will help you further solve the problem. Many thanks~.
jo-dean commented 2021-08-20 12:31:52 +02:00 (Migrated from github.com)
Copy Link

hi，can you share your training code?
i'm appreciate for receiving your reply！

hi，can you share your training code? i'm appreciate for receiving your reply！
👍 1
Sign in to join this conversation.
No Branch/Tag Specified
Branches Tags
Labels
Clear labels
GIF
GUI
Increase inference time
A solution to increase inference time
 bug
Something isn't working
 documentation
Improvements or additions to documentation
 duplicate
This issue or pull request already exists
 enhancement
New feature or request
 good first issue
Good for newcomers
 help wanted
Extra attention is needed
 invalid
This doesn't seem right
 question
Further information is requested
 wontfix
This will not be worked on
No Label
Milestone
No items
No Milestone
Projects
Clear projects
No project
Assignees
Clear assignees
CalvinBackup
No Assignees
1 Participants
Notifications
Due Date
No due date set.
Dependencies

No dependencies set.

Reference: CalvinBackup/neuralchen-SimSwap#27
Delete Branch "%!s()"

Deleting a branch is permanent. Although the deleted branch may continue to exist for a short time before it actually gets removed, it CANNOT be undone in most cases. Continue?