ReID Tracking dataset creation for PyTorch models#2861
Merged
n-poulsen merged 11 commits intopytorch_dlcfrom Feb 7, 2025
Merged
ReID Tracking dataset creation for PyTorch models#2861n-poulsen merged 11 commits intopytorch_dlcfrom
n-poulsen merged 11 commits intopytorch_dlcfrom
Conversation
maximpavliv
approved these changes
Feb 7, 2025
Contributor
maximpavliv
left a comment
There was a problem hiding this comment.
LGTM, thanks @n-poulsen !
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.
Implements the creation of ReID transformer dataset creation for PyTorch pose estimation models.
deeplabcut.create_tracking_datasetfor PyTorch modelsnp.nanmeanbug in creating triplets for transformer re-ID:query_feature_by_coord_in_img_space()function #2794FeatureShelfWriterto save ReID featuresOther changes
dynamicparameter fromdeeplabcut.create_tracking_datasetas it cannot be used theredeeplabcut.create_tracking_datasetpcutofffrom the inference config when creating assemblies inconvert_detections2trackletsimage_sizekey to the context when running inference, and atop_down_crop_sizefor top-down models