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wanggh
Swin-Transformer-Object-Detection
Commits
a21eb255
Unverified
Commit
a21eb255
authored
4 years ago
by
Wenwei Zhang
Committed by
GitHub
4 years ago
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bump to v2.8.0 (#4387)
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README.md
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README.md
docs/changelog.md
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docs/get_started.md
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docs/get_started.md
mmdet/__init__.py
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mmdet/__init__.py
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README.md
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@@ -42,7 +42,7 @@ This project is released under the [Apache 2.0 license](LICENSE).
## Changelog
v2.
7
.0 was released in
30/1
1/202
0
.
v2.
8
.0 was released in
04/0
1/202
1
.
Please refer to
[
changelog.md
](
docs/changelog.md
)
for details and release history.
A comparison between v1.x and v2.0 codebases can be found in
[
compatibility.md
](
docs/compatibility.md
)
.
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docs/changelog.md
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## Changelog
### v2.8.0 (04/01/2021)
#### Highlights
-
Support new methods:
[
Cascade RPN
](
https://arxiv.org/abs/1909.06720
)
,
[
TridentNet
](
https://arxiv.org/abs/1901.01892
)
#### New Features
-
Support
[
Cascade RPN
](
https://arxiv.org/abs/1909.06720
)
(
#1900
)
-
Support
[
TridentNet
](
https://arxiv.org/abs/1901.01892
)
(
#3313
)
#### Bug Fixes
-
Fix bug of show result in async_benchmark (#4367)
-
Fix scale factor in MaskTestMixin (#4366)
-
Fix but when returning indices in
`multiclass_nms`
(#4362)
-
Fix bug of empirical attention in resnext backbone error (#4300)
-
Fix bug of
`img_norm_cfg`
in FCOS-HRNet models with updated performance and models (#4250)
-
Fix invalid checkpoint and log in Mask R-CNN models on Cityscapes dataset (#4287)
-
Fix bug in distributed sampler when dataset is too small (#4257)
-
Fix bug of 'PAFPN has no attribute extra_convs_on_inputs' (#4235)
#### Improvements
-
Update model url from aws to aliyun (#4349)
-
Update ATSS for PyTorch 1.6+ (#4359)
-
Update script to install ruby in pre-commit installation (#4360)
-
Delete deprecated
`mmdet.ops`
(#4325)
-
Refactor hungarian assigner for more general usage in Sparse R-CNN (#4259)
-
Handle scipy import in DETR to reduce package dependencies (#4339)
-
Update documentation of usages for config options after MMCV (1.2.3) supports overriding list in config (#4326)
-
Update pre-train models of faster rcnn trained on COCO subsets (#4307)
-
Avoid zero or too small value for beta in Dynamic R-CNN (#4303)
-
Add doccumentation for Pytorch2ONNX (#4271)
-
Add deprecated warning FPN arguments (#4264)
-
Support returning indices of kept bboxes when using nms (#4251)
-
Update type and device requirements when creating tensors
`GFLHead`
(#4210)
-
Update device requirements when creating tensors in
`CrossEntropyLoss`
(#4224)
### v2.7.0 (30/11/2020)
-
Support new method:
[
DETR
](
https://arxiv.org/abs/2005.12872
)
,
[
ResNest
](
https://arxiv.org/abs/2004.08955
)
, Faster R-CNN DC5.
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docs/get_started.md
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@@ -11,12 +11,13 @@ The compatible MMDetection and MMCV versions are as below. Please install the co
| MMDetection version | MMCV version |
|:-------------------:|:-------------------:|
| master | mmcv-full>=1.1.5, <1.3|
| master | mmcv-full>=1.2.4, <1.3|
| 2.8.0 | mmcv-full>=1.2.4, <1.3|
| 2.7.0 | mmcv-full>=1.1.5, <1.3|
| 2.6.0 | mmcv-full>=1.1.5, <1.3|
| 2.5.0 | mmcv-full>=1.1.5, <1.3|
| 2.4.0 | mmcv-full>=1.1.1, <1.3|
| 2.3.0 | mmcv-full==1.0.5|
| 2.3.0 | mmcv-full==1.0.5
|
| 2.3.0rc0 | mmcv-full>=1.0.2 |
| 2.2.1 | mmcv==0.6.2 |
| 2.2.0 | mmcv==0.6.2 |
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@@ -15,7 +15,7 @@ def digit_version(version_str):
return
digit_version
mmcv_minimum_version
=
'
1.
1.5
'
mmcv_minimum_version
=
'
1.
2.4
'
mmcv_maximum_version
=
'
1.3
'
mmcv_version
=
digit_version
(
mmcv
.
__version__
)
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# Copyright (c) Open-MMLab. All rights reserved.
__version__
=
'
2.
7
.0
'
__version__
=
'
2.
8
.0
'
short_version
=
__version__
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