This repository was archived by the owner on Jul 1, 2024. It is now read-only.
Implement resize and train XRayVideo A/V with only resizing#796
Open
arjish wants to merge 1 commit intofacebookresearch:mainfrom
Open
Implement resize and train XRayVideo A/V with only resizing#796arjish wants to merge 1 commit intofacebookresearch:mainfrom
arjish wants to merge 1 commit intofacebookresearch:mainfrom
Conversation
facebook-github-bot
added
CLA Signed
Contributor
|
This pull request was exported from Phabricator. Differential Revision: D38522980 |
arjish
pushed a commit
to arjish/ClassyVision
that referenced
this pull request
Aug 9, 2022
…research#796) Summary: Pull Request resolved: facebookresearch#796 We want to check whether training XRayVideo with simply video resizing (in addition to other existing transformation like horizontal flipping and normalization) without random corp is sufficient. The resize dimension is used as 224*224. workflow: f362077622 (Note: in the workflow `fcc_mvit_dataset_v4p2_arkc.yaml` is used which I renamed to `fcc_mvit_dataset_v4p2_onlyresize.yaml` in this diff.) As can be seen, the validation MAP goes to around .422 as opposed to 0.46 when random resized crop is used (f355567669) and rest of the configuration is kept the same. Hence, it is better to keep random resized crop. Differential Revision: D38522980 fbshipit-source-id: 273f0cb1ebe644c13a739d720344fe31fd25fa17
arjish
force-pushed
the
export-D38522980
branch
from
25f1699 to
93a34ea
Compare
Contributor
|
This pull request was exported from Phabricator. Differential Revision: D38522980 |
…research#796) Summary: Pull Request resolved: facebookresearch#796 We want to check whether training XRayVideo with simply video resizing (in addition to other existing transformation like horizontal flipping and normalization) without random corp is sufficient. The resize dimension is used as 224*224. workflow: f362077622 (Note: in the workflow `fcc_mvit_dataset_v4p2_arkc.yaml` is used which I renamed to `fcc_mvit_dataset_v4p2_onlyresize.yaml` in this diff.) As can be seen, the validation MAP goes to around .422 as opposed to 0.46 when random resized crop is used (f355567669) and rest of the configuration is kept the same. Hence, it is better to keep random resized crop. Differential Revision: D38522980 fbshipit-source-id: 037690a4dccf9c3ee66b353792cb30b22bae8161
Contributor
|
This pull request was exported from Phabricator. Differential Revision: D38522980 |
arjish
force-pushed
the
export-D38522980
branch
from
93a34ea to
cd082bb
Compare
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 subscribe to this conversation on GitHub.
Already have an account?
Sign in.
2 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.
Summary:
We want to check whether training XRayVideo with simply video resizing (in addition to other existing transformation like horizontal flipping and normalization) without random corp is sufficient.
The resize dimension is used as 224*224.
workflow: f362077622 (Note: in the workflow
fcc_mvit_dataset_v4p2_arkc.yamlis used which I renamed tofcc_mvit_dataset_v4p2_onlyresize.yamlin this diff.)As can be seen, the validation MAP goes to around .422 as opposed to 0.46 when random resized crop is used (f355567669) and rest of the configuration is kept the same. Hence, it is better to keep random resized crop.
Differential Revision: D38522980