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

Merged dataset training #31

Open
lxtGH opened this issue Jul 30, 2019 · 3 comments
Open

Merged dataset training #31

lxtGH opened this issue Jul 30, 2019 · 3 comments

Comments

@lxtGH
Copy link

lxtGH commented Jul 30, 2019

Pose track datasets have 15 keypoints while COCO has 17, how to merge the dataset and train Jointly?

@Guanghan
Copy link
Owner

Use posetrack format as the standard. What I did is mapping COCO to posetrack, which can be found in the following routine: change_order_COCO_to_PoseTrack.
(https://github.com/Guanghan/lighttrack/blob/master/HPE/AllJoints_COCO.py)

@lxtGH
Copy link
Author

lxtGH commented Aug 5, 2019

Thanks for your reply!

@lxtGH lxtGH closed this as completed Aug 5, 2019
@lxtGH lxtGH reopened this Aug 14, 2019
@lxtGH
Copy link
Author

lxtGH commented Aug 14, 2019

@Guanghan Hi! The training step for your model on pose tracking dataset is :

  1. First train the COCO.
  2. Then train on COCO and Pose Track Jointly
  3. Finetune on Pose Track
    or somethings else ?

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