[BC-breaking] Update KeypointRCNN weights#1609
Merged
fmassa merged 3 commits intopytorch:masterfrom Dec 5, 2019
Merged
Conversation
Codecov Report
@@ Coverage Diff @@
## master #1609 +/- ##
==========================================
- Coverage 65.65% 65.63% -0.03%
==========================================
Files 90 90
Lines 7085 7088 +3
Branches 1075 1076 +1
==========================================
Hits 4652 4652
- Misses 2126 2129 +3
Partials 307 307
Continue to review full report at Codecov.
|
soumith
approved these changes
Dec 5, 2019
fmassa
added a commit
to fmassa/vision-1
that referenced
this pull request
Jan 28, 2020
* Update KeypointRCNN weights with correct file * Fix model * Fix
facebook-github-bot
pushed a commit
that referenced
this pull request
Jan 28, 2020
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
3 participants
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Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be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.
Fixes #1606
We support old weights by passing
pretrained='legacy', but the default behavior is to pick the new set of weights.As such, this is a BC-breaking change.
So if users relied on the pretrained features from KeypointRCNN for training classifiers (and only saved the classifiers, picking the weight from torchvision pretrained model), they will need to change to
pretrained='legacy'.