parent
e0edffb353
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configs
docker/serve
requirements
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@ -10,8 +10,8 @@ Collections:
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Title: A ConvNet for the 2020s
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README: configs/convnext/README.md
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Code:
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Version: v0.20.0
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URL: https://github.com/open-mmlab/mmclassification/blob/v0.20.0/mmcls/models/backbones/convnext.py
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Version: v0.20.1
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URL: https://github.com/open-mmlab/mmclassification/blob/v0.20.1/mmcls/models/backbones/convnext.py
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Models:
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- Name: convnext-tiny_3rdparty_32xb128_in1k
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@ -17,8 +17,8 @@ Collections:
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Title: "EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks"
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README: configs/efficientnet/README.md
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Code:
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Version: v0.20.0
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URL: https://github.com/open-mmlab/mmclassification/blob/v0.20.0/mmcls/models/backbones/efficientnet.py
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Version: v0.20.1
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URL: https://github.com/open-mmlab/mmclassification/blob/v0.20.1/mmcls/models/backbones/efficientnet.py
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Models:
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- Name: efficientnet-b0_3rdparty_8xb32_in1k
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Title: "Deep High-Resolution Representation Learning for Visual Recognition"
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README: configs/hrnet/README.md
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Code:
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URL: https://github.com/open-mmlab/mmclassification/blob/v0.20.0/mmcls/models/backbones/hrnet.py
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Version: v0.20.0
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URL: https://github.com/open-mmlab/mmclassification/blob/v0.20.1/mmcls/models/backbones/hrnet.py
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Version: v0.20.1
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Models:
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- Name: hrnet-w18_3rdparty_8xb32_in1k
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Title: "Twins: Revisiting the Design of Spatial Attention in Vision Transformers"
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README: configs/twins/README.md
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Code:
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URL: https://github.com/open-mmlab/mmclassification/blob/v0.20.0/mmcls/models/backbones/twins.py
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Version: v0.20.0
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URL: https://github.com/open-mmlab/mmclassification/blob/v0.20.1/mmcls/models/backbones/twins.py
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Version: v0.20.1
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Models:
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- Name: twins-pcpvt-small_3rdparty_8xb128_in1k
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@ -4,7 +4,7 @@ ARG CUDNN="7"
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FROM pytorch/pytorch:${PYTORCH}-cuda${CUDA}-cudnn${CUDNN}-devel
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ARG MMCV="1.4.2"
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ARG MMCLS="0.20.0"
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ARG MMCLS="0.20.1"
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ENV PYTHONUNBUFFERED TRUE
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@ -1,5 +1,11 @@
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# Changelog
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## v0.20.1(07/02/2022)
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### Bug Fixes
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- Fix the MMCV dependency version.
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## v0.20.0(30/01/2022)
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### Highlights
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# Compatibility of MMClassification 0.x
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## MMClassification 0.20.1
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### MMCV compatibility
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In Twins backbone, we use the `PatchEmbed` module of MMCV, and this module is added after MMCV 1.4.2.
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Therefore, we need to update the mmcv version to 1.4.2.
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@ -11,7 +11,7 @@ The compatible MMClassification and MMCV versions are as below. Please install t
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| MMClassification version | MMCV version |
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|:------------------------:|:---------------------:|
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| dev | mmcv>=1.4.4, <=1.5.0 |
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| 0.20.0 (master) | mmcv>=1.3.16, <=1.5.0 |
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| 0.20.1 (master) | mmcv>=1.4.2, <=1.5.0 |
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| 0.19.0 | mmcv>=1.3.16, <=1.5.0 |
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| 0.18.0 | mmcv>=1.3.16, <=1.5.0 |
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| 0.17.0 | mmcv>=1.3.8, <=1.5.0 |
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@ -11,7 +11,7 @@ MMClassification 和 MMCV 的适配关系如下,请安装正确版本的 MMCV
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| MMClassification 版本 | MMCV 版本 |
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|:---------------------:|:---------------------:|
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| dev | mmcv>=1.4.4, <=1.5.0 |
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| 0.20.0 (master)| mmcv>=1.3.16, <=1.5.0 |
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| 0.20.1 (master)| mmcv>=1.4.2, <=1.5.0 |
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| 0.19.0 | mmcv>=1.3.16, <=1.5.0 |
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| 0.18.0 | mmcv>=1.3.16, <=1.5.0 |
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| 0.17.0 | mmcv>=1.3.8, <=1.5.0 |
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@ -47,7 +47,7 @@ def digit_version(version_str: str, length: int = 4):
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return tuple(release)
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mmcv_minimum_version = '1.3.16'
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mmcv_minimum_version = '1.4.2'
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mmcv_maximum_version = '1.5.0'
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mmcv_version = digit_version(mmcv.__version__)
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# Copyright (c) OpenMMLab. All rights reserved
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__version__ = '0.20.0'
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__version__ = '0.20.1'
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def parse_version_info(version_str):
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@ -1 +1 @@
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mmcv-full>=1.3.16,<=1.5.0
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mmcv-full>=1.4.2,<=1.5.0
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mmcv>=1.3.16
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mmcv>=1.4.2
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torch
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torchvision
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