Implemented GIoU #347

briankosw · 2020-11-09T10:28:43Z

What does this PR do?

Implements Generalized Intersection over Union as mentioned in #251

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codecov · 2020-11-09T10:30:37Z

Codecov Report

Merging #347 (1e0b2d1) into master (4309cab) will increase coverage by 0.07%.
The diff coverage is 100.00%.

@@            Coverage Diff             @@
##           master     #347      +/-   ##
==========================================
+ Coverage   80.44%   80.52%   +0.07%     
==========================================
  Files         101      103       +2     
  Lines        5687     5710      +23     
==========================================
+ Hits         4575     4598      +23     
  Misses       1112     1112

Flag	Coverage Δ
cpu	`25.36% <100.00%> (+0.30%)`	⬆️
pytest	`25.36% <100.00%> (+0.30%)`	⬆️
unittests	`80.08% <100.00%> (+0.08%)`	⬆️

Flags with carried forward coverage won't be shown. Click here to find out more.

Impacted Files	Coverage Δ
pl_bolts/losses/object_detection.py	`100.00% <100.00%> (ø)`
pl_bolts/metrics/object_detection.py	`100.00% <100.00%> (ø)`

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akihironitta · 2020-11-15T00:13:30Z

@briankosw Thank you for your contribution! Let us know if you need help :]

briankosw · 2020-11-15T09:11:50Z

Hi @akihironitta! I'm trying to write tests for GIoU, but I don't have experience with unittest (I'm more used to pytest) and it seems that the majority of the tests in this repo weren't fully setup. I'll submit a commit soon, and could you take a look at review it for me?

akihironitta · 2020-11-15T09:37:50Z

@briankosw Sure! Mark this PR as ready for review when you're ready :]

pl_bolts/losses/giou.py

tests/losses/test_giou.py

ydcjeff

Great to see GIoU loss in bolts!
Can you add the docs?

akihironitta

Thank you for the swift action! Would you mind having a look?

pl_bolts/losses/giou.py

akihironitta

LGTM!

briankosw · 2020-11-16T02:32:25Z

I'm going to add a little bit more to the docstring and fix that isort failure, but that should be the final touches!

pl_bolts/losses/giou.py

tests/losses/test_giou.py

akihironitta · 2020-11-17T11:59:11Z

@briankosw Also, please remember to add the summary of your change to the changelog.

Borda

pls follow @akihironitta suggestions

pl_bolts/losses/giou.py

annikabrundyn · 2020-11-18T00:24:41Z

This is awesome! Does it make sense to also add this to the PL metrics?

Borda · 2020-11-18T10:01:21Z

This is awesome! Does it make sense to also add this to the PL metrics?

I would keep it here for a little while and later like any other metric we may move them to PL, we just need to try they are stable and kind of standard :]

ananyahjha93 · 2020-11-18T16:38:43Z

@annikabrundyn @briankosw @Borda let's add this to PL as a class metric + the current functional form.

briankosw · 2020-11-19T02:06:08Z

I'd be happy to close this PR and open a new one in PL as soon as I'm given the go ahead 🙂. If so, I'm assuming #370 and part of #251 should be migrated over as well?

Borda · 2020-11-19T07:20:55Z

I'd be happy to close this PR and open a new one in PL as soon as I'm given the go ahead 🙂. If so, I'm assuming #370 and part of #251 should be migrated over as well?

hi, the point is that we shall merge it here, and later (let's say a few weeks) we add it in PL and eventually drop from here

briankosw · 2020-12-02T13:08:52Z

I think this PR is ready for a final review. Would love your reviews @Borda @ydcjeff.

ydcjeff · 2020-12-04T07:27:41Z

Thank you for your work @briankosw
Is there any difference between this and this one from torchvision except that we extract giou from 1 in this?

briankosw · 2020-12-04T10:38:08Z

Thank you for your work @briankosw
Is there any difference between this and this one from torchvision except that we extract giou from 1 in this?

Ah I didn't realize torchvision has its own implementation. You're correct in that we subtract giou from 1. Should I change it to use torchvision's giou?

ydcjeff · 2020-12-11T06:53:47Z

Thank you for your work @briankosw
Is there any difference between this and this one from torchvision except that we extract giou from 1 in this?

Ah I didn't realize torchvision has its own implementation. You're correct in that we subtract giou from 1. Should I change it to use torchvision's giou?

I think both are right. in giou loss, we subtract giou from 1. Since torchvision has giou, we only need to 1 - giou to get giou loss... So it can be said this PR is unneeded, Thank you for your work btw.

But let's see core members' thoughts too!

akihironitta · 2020-12-12T21:34:02Z

@briankosw @ydcjeff
Thank you for your work! In my opinion, it's still nice to have the loss here or in PL as the current function and also a subclass of pl.metrics.Metric like pl.metrics.Accuracy as @ananyahjha93 suggested.

@annikabrundyn @briankosw @Borda let's add this to PL as a class metric + the current functional form.

I think it's reasonable to have the loss in Bolts and later migrate it to PL like @Borda mentioned.

@Borda @ananyahjha93 So, how shall we move on?

Co-authored-by: Jeff Yang <ydcjeff@outlook.com>

Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>

pep8speaks · 2020-12-20T22:51:59Z

Hello @briankosw! Thanks for updating this PR.

There are currently no PEP 8 issues detected in this Pull Request. Cheers! 🍻

Comment last updated at 2020-12-20 23:19:48 UTC

briankosw marked this pull request as ready for review November 15, 2020 10:45

ydcjeff reviewed Nov 15, 2020

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briankosw requested a review from ydcjeff November 16, 2020 04:01

briankosw mentioned this pull request Nov 16, 2020

Add Intersection over Union loss #370

Closed

Borda added the enhancement New feature or request label Nov 16, 2020

Borda reviewed Nov 16, 2020

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briankosw requested a review from Borda November 18, 2020 10:14

akihironitta added this to In progress in Object detection via automation Nov 29, 2020

briankosw and others added 18 commits December 20, 2020 23:47

Renaming file to object_detection.py

e0a68c4

Reflecting module name change in test

7f7bec9

Implemented GIoU

8ebd93b

Changing max/min to torch.max/torch.min

b4ac0e1

Adding tests for GIoU

b32b369

Updated docstring

b5e5d85

Co-authored-by: Jeff Yang <ydcjeff@outlook.com>

Fixed isort error and added link to paper in docstring

2e29634

Parametrizing tests using pytest

d61ed9b

Adding changelog and removing eps

b6a4dbb

Fixing error

a42e111

isort test

8370947

Renaming file to object_detection.py

721e734

Reflecting module name change in test

edffe9f

Update pl_bolts/losses/object_detection.py

f1d1646

Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>

Updating docstring for giou

637792b

Fixing code formatting

34c1987

Adding doctest

730bcdc

Adding tests for giou

8fa52f7

refactor

ebda4b0

Object detection automation moved this from In progress to in Review Dec 20, 2020

Borda approved these changes Dec 20, 2020

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Borda added 2 commits December 21, 2020 00:09

fix

d684d2b

format

1e0b2d1

Borda merged commit a72766c into Lightning-Universe:master Dec 20, 2020

Object detection automation moved this from in Review to Done Dec 20, 2020

briankosw mentioned this pull request Dec 21, 2020

Intersection over Union Metric/Loss #469

Merged

8 tasks

Borda added this to the v0.3 milestone Jan 18, 2021

This was referenced Mar 13, 2021

[tune](deps): Bump pytorch-lightning-bolts from 0.2.5 to 0.3.0 in /python/requirements suquark/ray#8

Closed

[tune](deps): Bump pytorch-lightning-bolts from 0.2.5 to 0.3.0 in /python/requirements sven1977/ray#8

Closed

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Implemented GIoU #347

Implemented GIoU #347

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Implemented GIoU #347

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briankosw commented Nov 9, 2020 • edited Loading

What does this PR do?

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