This repository has been archived by the owner on Oct 31, 2023. It is now read-only.
Save labels in output directory #842
Merged
Conversation
This file contains 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
added 6 commits
March 26, 2019 11:14
…rk with conflicts.
# Conflicts: # maskrcnn_benchmark/csrc/cuda/SigmoidFocalLoss_cuda.cu
# Conflicts: # docker/Dockerfile
facebook-github-bot
added
the
CLA Signed
fmassa
approved these changes
May 31, 2019
should be good to go! |
Lyears
pushed a commit
to Lyears/maskrcnn-benchmark
that referenced
this pull request
Jun 28, 2020
* Merge branch 'master' of /home/braincreator/projects/maskrcnn-benchmark with conflicts. * update Dockerfile * save labels to output dir * save labels on main process only
Sign up for free
to subscribe to this conversation on GitHub.
Already have an account?
Sign in.
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Outdated suggestions cannot be applied.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.
Once the training dataset is established, we should save the categories mapping to the model output directory to facilitate deployment.
I'll follow this PR with a general purpose predictor fully initialized from the output directory of the model (containing: model weights, model config (#835) and model labels)