From cce86faca04460ad1b83c8abd7b41330381f7f4b Mon Sep 17 00:00:00 2001 From: CoprDistGit Date: Tue, 11 Apr 2023 19:02:49 +0000 Subject: automatic import of python-mmcls --- .gitignore | 1 + python-mmcls.spec | 729 ++++++++++++++++++++++++++++++++++++++++++++++++++++++ sources | 1 + 3 files changed, 731 insertions(+) create mode 100644 python-mmcls.spec create mode 100644 sources diff --git a/.gitignore b/.gitignore index e69de29..470239c 100644 --- a/.gitignore +++ b/.gitignore @@ -0,0 +1 @@ +/mmcls-0.25.0.tar.gz diff --git a/python-mmcls.spec b/python-mmcls.spec new file mode 100644 index 0000000..60e02ae --- /dev/null +++ b/python-mmcls.spec @@ -0,0 +1,729 @@ +%global _empty_manifest_terminate_build 0 +Name: python-mmcls +Version: 0.25.0 +Release: 1 +Summary: OpenMMLab Image Classification Toolbox and Benchmark +License: Apache License 2.0 +URL: https://github.com/open-mmlab/mmclassification +Source0: https://mirrors.nju.edu.cn/pypi/web/packages/86/b0/8cca8a5667c62e8e45bdbcbc2c56640978c08e1622ecf15acb721bcf3239/mmcls-0.25.0.tar.gz +BuildArch: noarch + +Requires: python3-matplotlib +Requires: python3-numpy +Requires: python3-packaging +Requires: python3-albumentations +Requires: python3-colorama +Requires: python3-requests +Requires: python3-rich +Requires: python3-scipy +Requires: python3-matplotlib +Requires: python3-numpy +Requires: python3-packaging +Requires: python3-codecov +Requires: python3-flake8 +Requires: python3-interrogate +Requires: python3-isort +Requires: python3-mmdet +Requires: python3-pytest +Requires: python3-xdoctest +Requires: python3-yapf +Requires: python3-mmcv-full +Requires: python3-albumentations +Requires: python3-colorama +Requires: python3-requests +Requires: python3-rich +Requires: python3-scipy +Requires: python3-codecov +Requires: python3-flake8 +Requires: python3-interrogate +Requires: python3-isort +Requires: python3-mmdet +Requires: python3-pytest +Requires: python3-xdoctest +Requires: python3-yapf + +%description +
+ + +
 
+
+ OpenMMLab website + + + HOT + + +      + OpenMMLab platform + + + TRY IT OUT + + +
+
 
+ +[![PyPI](https://img.shields.io/pypi/v/mmcls)](https://pypi.org/project/mmcls) +[![Docs](https://img.shields.io/badge/docs-latest-blue)](https://mmclassification.readthedocs.io/en/latest/) +[![Build Status](https://github.com/open-mmlab/mmclassification/workflows/build/badge.svg)](https://github.com/open-mmlab/mmclassification/actions) +[![codecov](https://codecov.io/gh/open-mmlab/mmclassification/branch/master/graph/badge.svg)](https://codecov.io/gh/open-mmlab/mmclassification) +[![license](https://img.shields.io/github/license/open-mmlab/mmclassification.svg)](https://github.com/open-mmlab/mmclassification/blob/master/LICENSE) +[![open issues](https://isitmaintained.com/badge/open/open-mmlab/mmclassification.svg)](https://github.com/open-mmlab/mmclassification/issues) +[![issue resolution](https://isitmaintained.com/badge/resolution/open-mmlab/mmclassification.svg)](https://github.com/open-mmlab/mmclassification/issues) + +[📘 Documentation](https://mmclassification.readthedocs.io/en/latest/) | +[🛠ī¸ Installation](https://mmclassification.readthedocs.io/en/latest/install.html) | +[👀 Model Zoo](https://mmclassification.readthedocs.io/en/latest/model_zoo.html) | +[🆕 Update News](https://mmclassification.readthedocs.io/en/latest/changelog.html) | +[🤔 Reporting Issues](https://github.com/open-mmlab/mmclassification/issues/new/choose) + +:point_right: **MMClassification 1.0 branch is in trial, welcome every to [try it](https://github.com/open-mmlab/mmclassification/tree/1.x) and [discuss with us](https://github.com/open-mmlab/mmclassification/discussions)!** :point_left: + +
+ +## Introduction + +English | [įŽ€äŊ“中文](/README_zh-CN.md) + +MMClassification is an open source image classification toolbox based on PyTorch. It is +a part of the [OpenMMLab](https://openmmlab.com/) project. + +The master branch works with **PyTorch 1.5+**. + +
+ +
+ +### Major features + +- Various backbones and pretrained models +- Bag of training tricks +- Large-scale training configs +- High efficiency and extensibility +- Powerful toolkits + +## What's new + +The MMClassification 1.0 has released! It's still unstable and in release candidate. If you want to try it, go +to [the 1.x branch](https://github.com/open-mmlab/mmclassification/tree/1.x) and discuss it with us in +[the discussion](https://github.com/open-mmlab/mmclassification/discussions). + +v0.25.0 was released in 06/12/2022. +Highlights of the new version: + +- Support MLU backend. +- Add `dist_train_arm.sh` for ARM device. + +v0.24.1 was released in 31/10/2022. +Highlights of the new version: + +- Support HUAWEI Ascend device. + +v0.24.0 was released in 30/9/2022. +Highlights of the new version: + +- Support **HorNet**, **EfficientFormerm**, **SwinTransformer V2** and **MViT** backbones. +- Support Standford Cars dataset. + +Please refer to [changelog.md](docs/en/changelog.md) for more details and other release history. + +## Installation + +Below are quick steps for installation: + +```shell +conda create -n open-mmlab python=3.8 pytorch=1.10 cudatoolkit=11.3 torchvision==0.11.0 -c pytorch -y +conda activate open-mmlab +pip3 install openmim +mim install mmcv-full +git clone https://github.com/open-mmlab/mmclassification.git +cd mmclassification +pip3 install -e . +``` + +Please refer to [install.md](https://mmclassification.readthedocs.io/en/latest/install.html) for more detailed installation and dataset preparation. + +## Getting Started + +Please see [Getting Started](https://mmclassification.readthedocs.io/en/latest/getting_started.html) for the basic usage of MMClassification. There are also tutorials: + +- [Learn about Configs](https://mmclassification.readthedocs.io/en/latest/tutorials/config.html) +- [Fine-tune Models](https://mmclassification.readthedocs.io/en/latest/tutorials/finetune.html) +- [Add New Dataset](https://mmclassification.readthedocs.io/en/latest/tutorials/new_dataset.html) +- [Customizie Data Pipeline](https://mmclassification.readthedocs.io/en/latest/tutorials/data_pipeline.html) +- [Add New Modules](https://mmclassification.readthedocs.io/en/latest/tutorials/new_modules.html) +- [Customizie Schedule](https://mmclassification.readthedocs.io/en/latest/tutorials/schedule.html) +- [Customizie Runtime Settings](https://mmclassification.readthedocs.io/en/latest/tutorials/runtime.html) + +Colab tutorials are also provided: + +- Learn about MMClassification **Python API**: [Preview the notebook](https://github.com/open-mmlab/mmclassification/blob/master/docs/en/tutorials/MMClassification_python.ipynb) or directly [run on Colab](https://colab.research.google.com/github/open-mmlab/mmclassification/blob/master/docs/en/tutorials/MMClassification_python.ipynb). +- Learn about MMClassification **CLI tools**: [Preview the notebook](https://github.com/open-mmlab/mmclassification/blob/master/docs/en/tutorials/MMClassification_tools.ipynb) or directly [run on Colab](https://colab.research.google.com/github/open-mmlab/mmclassification/blob/master/docs/en/tutorials/MMClassification_tools.ipynb). + +## Model zoo + +Results and models are available in the [model zoo](https://mmclassification.readthedocs.io/en/latest/model_zoo.html). + +
+Supported backbones + +- [x] [VGG](https://github.com/open-mmlab/mmclassification/tree/master/configs/vgg) +- [x] [ResNet](https://github.com/open-mmlab/mmclassification/tree/master/configs/resnet) +- [x] [ResNeXt](https://github.com/open-mmlab/mmclassification/tree/master/configs/resnext) +- [x] [SE-ResNet](https://github.com/open-mmlab/mmclassification/tree/master/configs/seresnet) +- [x] [SE-ResNeXt](https://github.com/open-mmlab/mmclassification/tree/master/configs/seresnet) +- [x] [RegNet](https://github.com/open-mmlab/mmclassification/tree/master/configs/regnet) +- [x] [ShuffleNetV1](https://github.com/open-mmlab/mmclassification/tree/master/configs/shufflenet_v1) +- [x] [ShuffleNetV2](https://github.com/open-mmlab/mmclassification/tree/master/configs/shufflenet_v2) +- [x] [MobileNetV2](https://github.com/open-mmlab/mmclassification/tree/master/configs/mobilenet_v2) +- [x] [MobileNetV3](https://github.com/open-mmlab/mmclassification/tree/master/configs/mobilenet_v3) +- [x] [Swin-Transformer](https://github.com/open-mmlab/mmclassification/tree/master/configs/swin_transformer) +- [x] [RepVGG](https://github.com/open-mmlab/mmclassification/tree/master/configs/repvgg) +- [x] [Vision-Transformer](https://github.com/open-mmlab/mmclassification/tree/master/configs/vision_transformer) +- [x] [Transformer-in-Transformer](https://github.com/open-mmlab/mmclassification/tree/master/configs/tnt) +- [x] [Res2Net](https://github.com/open-mmlab/mmclassification/tree/master/configs/res2net) +- [x] [MLP-Mixer](https://github.com/open-mmlab/mmclassification/tree/master/configs/mlp_mixer) +- [x] [DeiT](https://github.com/open-mmlab/mmclassification/tree/master/configs/deit) +- [x] [Conformer](https://github.com/open-mmlab/mmclassification/tree/master/configs/conformer) +- [x] [T2T-ViT](https://github.com/open-mmlab/mmclassification/tree/master/configs/t2t_vit) +- [x] [Twins](https://github.com/open-mmlab/mmclassification/tree/master/configs/twins) +- [x] [EfficientNet](https://github.com/open-mmlab/mmclassification/tree/master/configs/efficientnet) +- [x] [ConvNeXt](https://github.com/open-mmlab/mmclassification/tree/master/configs/convnext) +- [x] [HRNet](https://github.com/open-mmlab/mmclassification/tree/master/configs/hrnet) +- [x] [VAN](https://github.com/open-mmlab/mmclassification/tree/master/configs/van) +- [x] [ConvMixer](https://github.com/open-mmlab/mmclassification/tree/master/configs/convmixer) +- [x] [CSPNet](https://github.com/open-mmlab/mmclassification/tree/master/configs/cspnet) +- [x] [PoolFormer](https://github.com/open-mmlab/mmclassification/tree/master/configs/poolformer) +- [x] [MViT](https://github.com/open-mmlab/mmclassification/tree/master/configs/mvit) +- [x] [EfficientFormer](https://github.com/open-mmlab/mmclassification/tree/master/configs/efficientformer) +- [x] [HorNet](https://github.com/open-mmlab/mmclassification/tree/master/configs/hornet) + +
+ +## Contributing + +We appreciate all contributions to improve MMClassification. +Please refer to [CONTRUBUTING.md](https://mmclassification.readthedocs.io/en/latest/community/CONTRIBUTING.html) for the contributing guideline. + +## Acknowledgement + +MMClassification is an open source project that is contributed by researchers and engineers from various colleges and companies. We appreciate all the contributors who implement their methods or add new features, as well as users who give valuable feedbacks. +We wish that the toolbox and benchmark could serve the growing research community by providing a flexible toolkit to reimplement existing methods and develop their own new classifiers. + +## Citation + +If you find this project useful in your research, please consider cite: + +```BibTeX +@misc{2020mmclassification, + title={OpenMMLab's Image Classification Toolbox and Benchmark}, + author={MMClassification Contributors}, + howpublished = {\url{https://github.com/open-mmlab/mmclassification}}, + year={2020} +} +``` + +## License + +This project is released under the [Apache 2.0 license](LICENSE). + +## Projects in OpenMMLab + +- [MMCV](https://github.com/open-mmlab/mmcv): OpenMMLab foundational library for computer vision. +- [MIM](https://github.com/open-mmlab/mim): MIM installs OpenMMLab packages. +- [MMClassification](https://github.com/open-mmlab/mmclassification): OpenMMLab image classification toolbox and benchmark. +- [MMDetection](https://github.com/open-mmlab/mmdetection): OpenMMLab detection toolbox and benchmark. +- [MMDetection3D](https://github.com/open-mmlab/mmdetection3d): OpenMMLab's next-generation platform for general 3D object detection. +- [MMRotate](https://github.com/open-mmlab/mmrotate): OpenMMLab rotated object detection toolbox and benchmark. +- [MMSegmentation](https://github.com/open-mmlab/mmsegmentation): OpenMMLab semantic segmentation toolbox and benchmark. +- [MMOCR](https://github.com/open-mmlab/mmocr): OpenMMLab text detection, recognition, and understanding toolbox. +- [MMPose](https://github.com/open-mmlab/mmpose): OpenMMLab pose estimation toolbox and benchmark. +- [MMHuman3D](https://github.com/open-mmlab/mmhuman3d): OpenMMLab 3D human parametric model toolbox and benchmark. +- [MMSelfSup](https://github.com/open-mmlab/mmselfsup): OpenMMLab self-supervised learning toolbox and benchmark. +- [MMRazor](https://github.com/open-mmlab/mmrazor): OpenMMLab model compression toolbox and benchmark. +- [MMFewShot](https://github.com/open-mmlab/mmfewshot): OpenMMLab fewshot learning toolbox and benchmark. +- [MMAction2](https://github.com/open-mmlab/mmaction2): OpenMMLab's next-generation action understanding toolbox and benchmark. +- [MMTracking](https://github.com/open-mmlab/mmtracking): OpenMMLab video perception toolbox and benchmark. +- [MMFlow](https://github.com/open-mmlab/mmflow): OpenMMLab optical flow toolbox and benchmark. +- [MMEditing](https://github.com/open-mmlab/mmediting): OpenMMLab image and video editing toolbox. +- [MMGeneration](https://github.com/open-mmlab/mmgeneration): OpenMMLab image and video generative models toolbox. +- [MMDeploy](https://github.com/open-mmlab/mmdeploy): OpenMMLab model deployment framework. + + + + +%package -n python3-mmcls +Summary: OpenMMLab Image Classification Toolbox and Benchmark +Provides: python-mmcls +BuildRequires: python3-devel +BuildRequires: python3-setuptools +BuildRequires: python3-pip +%description -n python3-mmcls +
+ + +
 
+
+ OpenMMLab website + + + HOT + + +      + OpenMMLab platform + + + TRY IT OUT + + +
+
 
+ +[![PyPI](https://img.shields.io/pypi/v/mmcls)](https://pypi.org/project/mmcls) +[![Docs](https://img.shields.io/badge/docs-latest-blue)](https://mmclassification.readthedocs.io/en/latest/) +[![Build Status](https://github.com/open-mmlab/mmclassification/workflows/build/badge.svg)](https://github.com/open-mmlab/mmclassification/actions) +[![codecov](https://codecov.io/gh/open-mmlab/mmclassification/branch/master/graph/badge.svg)](https://codecov.io/gh/open-mmlab/mmclassification) +[![license](https://img.shields.io/github/license/open-mmlab/mmclassification.svg)](https://github.com/open-mmlab/mmclassification/blob/master/LICENSE) +[![open issues](https://isitmaintained.com/badge/open/open-mmlab/mmclassification.svg)](https://github.com/open-mmlab/mmclassification/issues) +[![issue resolution](https://isitmaintained.com/badge/resolution/open-mmlab/mmclassification.svg)](https://github.com/open-mmlab/mmclassification/issues) + +[📘 Documentation](https://mmclassification.readthedocs.io/en/latest/) | +[🛠ī¸ Installation](https://mmclassification.readthedocs.io/en/latest/install.html) | +[👀 Model Zoo](https://mmclassification.readthedocs.io/en/latest/model_zoo.html) | +[🆕 Update News](https://mmclassification.readthedocs.io/en/latest/changelog.html) | +[🤔 Reporting Issues](https://github.com/open-mmlab/mmclassification/issues/new/choose) + +:point_right: **MMClassification 1.0 branch is in trial, welcome every to [try it](https://github.com/open-mmlab/mmclassification/tree/1.x) and [discuss with us](https://github.com/open-mmlab/mmclassification/discussions)!** :point_left: + +
+ +## Introduction + +English | [įŽ€äŊ“中文](/README_zh-CN.md) + +MMClassification is an open source image classification toolbox based on PyTorch. It is +a part of the [OpenMMLab](https://openmmlab.com/) project. + +The master branch works with **PyTorch 1.5+**. + +
+ +
+ +### Major features + +- Various backbones and pretrained models +- Bag of training tricks +- Large-scale training configs +- High efficiency and extensibility +- Powerful toolkits + +## What's new + +The MMClassification 1.0 has released! It's still unstable and in release candidate. If you want to try it, go +to [the 1.x branch](https://github.com/open-mmlab/mmclassification/tree/1.x) and discuss it with us in +[the discussion](https://github.com/open-mmlab/mmclassification/discussions). + +v0.25.0 was released in 06/12/2022. +Highlights of the new version: + +- Support MLU backend. +- Add `dist_train_arm.sh` for ARM device. + +v0.24.1 was released in 31/10/2022. +Highlights of the new version: + +- Support HUAWEI Ascend device. + +v0.24.0 was released in 30/9/2022. +Highlights of the new version: + +- Support **HorNet**, **EfficientFormerm**, **SwinTransformer V2** and **MViT** backbones. +- Support Standford Cars dataset. + +Please refer to [changelog.md](docs/en/changelog.md) for more details and other release history. + +## Installation + +Below are quick steps for installation: + +```shell +conda create -n open-mmlab python=3.8 pytorch=1.10 cudatoolkit=11.3 torchvision==0.11.0 -c pytorch -y +conda activate open-mmlab +pip3 install openmim +mim install mmcv-full +git clone https://github.com/open-mmlab/mmclassification.git +cd mmclassification +pip3 install -e . +``` + +Please refer to [install.md](https://mmclassification.readthedocs.io/en/latest/install.html) for more detailed installation and dataset preparation. + +## Getting Started + +Please see [Getting Started](https://mmclassification.readthedocs.io/en/latest/getting_started.html) for the basic usage of MMClassification. There are also tutorials: + +- [Learn about Configs](https://mmclassification.readthedocs.io/en/latest/tutorials/config.html) +- [Fine-tune Models](https://mmclassification.readthedocs.io/en/latest/tutorials/finetune.html) +- [Add New Dataset](https://mmclassification.readthedocs.io/en/latest/tutorials/new_dataset.html) +- [Customizie Data Pipeline](https://mmclassification.readthedocs.io/en/latest/tutorials/data_pipeline.html) +- [Add New Modules](https://mmclassification.readthedocs.io/en/latest/tutorials/new_modules.html) +- [Customizie Schedule](https://mmclassification.readthedocs.io/en/latest/tutorials/schedule.html) +- [Customizie Runtime Settings](https://mmclassification.readthedocs.io/en/latest/tutorials/runtime.html) + +Colab tutorials are also provided: + +- Learn about MMClassification **Python API**: [Preview the notebook](https://github.com/open-mmlab/mmclassification/blob/master/docs/en/tutorials/MMClassification_python.ipynb) or directly [run on Colab](https://colab.research.google.com/github/open-mmlab/mmclassification/blob/master/docs/en/tutorials/MMClassification_python.ipynb). +- Learn about MMClassification **CLI tools**: [Preview the notebook](https://github.com/open-mmlab/mmclassification/blob/master/docs/en/tutorials/MMClassification_tools.ipynb) or directly [run on Colab](https://colab.research.google.com/github/open-mmlab/mmclassification/blob/master/docs/en/tutorials/MMClassification_tools.ipynb). + +## Model zoo + +Results and models are available in the [model zoo](https://mmclassification.readthedocs.io/en/latest/model_zoo.html). + +
+Supported backbones + +- [x] [VGG](https://github.com/open-mmlab/mmclassification/tree/master/configs/vgg) +- [x] [ResNet](https://github.com/open-mmlab/mmclassification/tree/master/configs/resnet) +- [x] [ResNeXt](https://github.com/open-mmlab/mmclassification/tree/master/configs/resnext) +- [x] [SE-ResNet](https://github.com/open-mmlab/mmclassification/tree/master/configs/seresnet) +- [x] [SE-ResNeXt](https://github.com/open-mmlab/mmclassification/tree/master/configs/seresnet) +- [x] [RegNet](https://github.com/open-mmlab/mmclassification/tree/master/configs/regnet) +- [x] [ShuffleNetV1](https://github.com/open-mmlab/mmclassification/tree/master/configs/shufflenet_v1) +- [x] [ShuffleNetV2](https://github.com/open-mmlab/mmclassification/tree/master/configs/shufflenet_v2) +- [x] [MobileNetV2](https://github.com/open-mmlab/mmclassification/tree/master/configs/mobilenet_v2) +- [x] [MobileNetV3](https://github.com/open-mmlab/mmclassification/tree/master/configs/mobilenet_v3) +- [x] [Swin-Transformer](https://github.com/open-mmlab/mmclassification/tree/master/configs/swin_transformer) +- [x] [RepVGG](https://github.com/open-mmlab/mmclassification/tree/master/configs/repvgg) +- [x] [Vision-Transformer](https://github.com/open-mmlab/mmclassification/tree/master/configs/vision_transformer) +- [x] [Transformer-in-Transformer](https://github.com/open-mmlab/mmclassification/tree/master/configs/tnt) +- [x] [Res2Net](https://github.com/open-mmlab/mmclassification/tree/master/configs/res2net) +- [x] [MLP-Mixer](https://github.com/open-mmlab/mmclassification/tree/master/configs/mlp_mixer) +- [x] [DeiT](https://github.com/open-mmlab/mmclassification/tree/master/configs/deit) +- [x] [Conformer](https://github.com/open-mmlab/mmclassification/tree/master/configs/conformer) +- [x] [T2T-ViT](https://github.com/open-mmlab/mmclassification/tree/master/configs/t2t_vit) +- [x] [Twins](https://github.com/open-mmlab/mmclassification/tree/master/configs/twins) +- [x] [EfficientNet](https://github.com/open-mmlab/mmclassification/tree/master/configs/efficientnet) +- [x] [ConvNeXt](https://github.com/open-mmlab/mmclassification/tree/master/configs/convnext) +- [x] [HRNet](https://github.com/open-mmlab/mmclassification/tree/master/configs/hrnet) +- [x] [VAN](https://github.com/open-mmlab/mmclassification/tree/master/configs/van) +- [x] [ConvMixer](https://github.com/open-mmlab/mmclassification/tree/master/configs/convmixer) +- [x] [CSPNet](https://github.com/open-mmlab/mmclassification/tree/master/configs/cspnet) +- [x] [PoolFormer](https://github.com/open-mmlab/mmclassification/tree/master/configs/poolformer) +- [x] [MViT](https://github.com/open-mmlab/mmclassification/tree/master/configs/mvit) +- [x] [EfficientFormer](https://github.com/open-mmlab/mmclassification/tree/master/configs/efficientformer) +- [x] [HorNet](https://github.com/open-mmlab/mmclassification/tree/master/configs/hornet) + +
+ +## Contributing + +We appreciate all contributions to improve MMClassification. +Please refer to [CONTRUBUTING.md](https://mmclassification.readthedocs.io/en/latest/community/CONTRIBUTING.html) for the contributing guideline. + +## Acknowledgement + +MMClassification is an open source project that is contributed by researchers and engineers from various colleges and companies. We appreciate all the contributors who implement their methods or add new features, as well as users who give valuable feedbacks. +We wish that the toolbox and benchmark could serve the growing research community by providing a flexible toolkit to reimplement existing methods and develop their own new classifiers. + +## Citation + +If you find this project useful in your research, please consider cite: + +```BibTeX +@misc{2020mmclassification, + title={OpenMMLab's Image Classification Toolbox and Benchmark}, + author={MMClassification Contributors}, + howpublished = {\url{https://github.com/open-mmlab/mmclassification}}, + year={2020} +} +``` + +## License + +This project is released under the [Apache 2.0 license](LICENSE). + +## Projects in OpenMMLab + +- [MMCV](https://github.com/open-mmlab/mmcv): OpenMMLab foundational library for computer vision. +- [MIM](https://github.com/open-mmlab/mim): MIM installs OpenMMLab packages. +- [MMClassification](https://github.com/open-mmlab/mmclassification): OpenMMLab image classification toolbox and benchmark. +- [MMDetection](https://github.com/open-mmlab/mmdetection): OpenMMLab detection toolbox and benchmark. +- [MMDetection3D](https://github.com/open-mmlab/mmdetection3d): OpenMMLab's next-generation platform for general 3D object detection. +- [MMRotate](https://github.com/open-mmlab/mmrotate): OpenMMLab rotated object detection toolbox and benchmark. +- [MMSegmentation](https://github.com/open-mmlab/mmsegmentation): OpenMMLab semantic segmentation toolbox and benchmark. +- [MMOCR](https://github.com/open-mmlab/mmocr): OpenMMLab text detection, recognition, and understanding toolbox. +- [MMPose](https://github.com/open-mmlab/mmpose): OpenMMLab pose estimation toolbox and benchmark. +- [MMHuman3D](https://github.com/open-mmlab/mmhuman3d): OpenMMLab 3D human parametric model toolbox and benchmark. +- [MMSelfSup](https://github.com/open-mmlab/mmselfsup): OpenMMLab self-supervised learning toolbox and benchmark. +- [MMRazor](https://github.com/open-mmlab/mmrazor): OpenMMLab model compression toolbox and benchmark. +- [MMFewShot](https://github.com/open-mmlab/mmfewshot): OpenMMLab fewshot learning toolbox and benchmark. +- [MMAction2](https://github.com/open-mmlab/mmaction2): OpenMMLab's next-generation action understanding toolbox and benchmark. +- [MMTracking](https://github.com/open-mmlab/mmtracking): OpenMMLab video perception toolbox and benchmark. +- [MMFlow](https://github.com/open-mmlab/mmflow): OpenMMLab optical flow toolbox and benchmark. +- [MMEditing](https://github.com/open-mmlab/mmediting): OpenMMLab image and video editing toolbox. +- [MMGeneration](https://github.com/open-mmlab/mmgeneration): OpenMMLab image and video generative models toolbox. +- [MMDeploy](https://github.com/open-mmlab/mmdeploy): OpenMMLab model deployment framework. + + + + +%package help +Summary: Development documents and examples for mmcls +Provides: python3-mmcls-doc +%description help +
+ + +
 
+
+ OpenMMLab website + + + HOT + + +      + OpenMMLab platform + + + TRY IT OUT + + +
+
 
+ +[![PyPI](https://img.shields.io/pypi/v/mmcls)](https://pypi.org/project/mmcls) +[![Docs](https://img.shields.io/badge/docs-latest-blue)](https://mmclassification.readthedocs.io/en/latest/) +[![Build Status](https://github.com/open-mmlab/mmclassification/workflows/build/badge.svg)](https://github.com/open-mmlab/mmclassification/actions) +[![codecov](https://codecov.io/gh/open-mmlab/mmclassification/branch/master/graph/badge.svg)](https://codecov.io/gh/open-mmlab/mmclassification) +[![license](https://img.shields.io/github/license/open-mmlab/mmclassification.svg)](https://github.com/open-mmlab/mmclassification/blob/master/LICENSE) +[![open issues](https://isitmaintained.com/badge/open/open-mmlab/mmclassification.svg)](https://github.com/open-mmlab/mmclassification/issues) +[![issue resolution](https://isitmaintained.com/badge/resolution/open-mmlab/mmclassification.svg)](https://github.com/open-mmlab/mmclassification/issues) + +[📘 Documentation](https://mmclassification.readthedocs.io/en/latest/) | +[🛠ī¸ Installation](https://mmclassification.readthedocs.io/en/latest/install.html) | +[👀 Model Zoo](https://mmclassification.readthedocs.io/en/latest/model_zoo.html) | +[🆕 Update News](https://mmclassification.readthedocs.io/en/latest/changelog.html) | +[🤔 Reporting Issues](https://github.com/open-mmlab/mmclassification/issues/new/choose) + +:point_right: **MMClassification 1.0 branch is in trial, welcome every to [try it](https://github.com/open-mmlab/mmclassification/tree/1.x) and [discuss with us](https://github.com/open-mmlab/mmclassification/discussions)!** :point_left: + +
+ +## Introduction + +English | [įŽ€äŊ“中文](/README_zh-CN.md) + +MMClassification is an open source image classification toolbox based on PyTorch. It is +a part of the [OpenMMLab](https://openmmlab.com/) project. + +The master branch works with **PyTorch 1.5+**. + +
+ +
+ +### Major features + +- Various backbones and pretrained models +- Bag of training tricks +- Large-scale training configs +- High efficiency and extensibility +- Powerful toolkits + +## What's new + +The MMClassification 1.0 has released! It's still unstable and in release candidate. If you want to try it, go +to [the 1.x branch](https://github.com/open-mmlab/mmclassification/tree/1.x) and discuss it with us in +[the discussion](https://github.com/open-mmlab/mmclassification/discussions). + +v0.25.0 was released in 06/12/2022. +Highlights of the new version: + +- Support MLU backend. +- Add `dist_train_arm.sh` for ARM device. + +v0.24.1 was released in 31/10/2022. +Highlights of the new version: + +- Support HUAWEI Ascend device. + +v0.24.0 was released in 30/9/2022. +Highlights of the new version: + +- Support **HorNet**, **EfficientFormerm**, **SwinTransformer V2** and **MViT** backbones. +- Support Standford Cars dataset. + +Please refer to [changelog.md](docs/en/changelog.md) for more details and other release history. + +## Installation + +Below are quick steps for installation: + +```shell +conda create -n open-mmlab python=3.8 pytorch=1.10 cudatoolkit=11.3 torchvision==0.11.0 -c pytorch -y +conda activate open-mmlab +pip3 install openmim +mim install mmcv-full +git clone https://github.com/open-mmlab/mmclassification.git +cd mmclassification +pip3 install -e . +``` + +Please refer to [install.md](https://mmclassification.readthedocs.io/en/latest/install.html) for more detailed installation and dataset preparation. + +## Getting Started + +Please see [Getting Started](https://mmclassification.readthedocs.io/en/latest/getting_started.html) for the basic usage of MMClassification. There are also tutorials: + +- [Learn about Configs](https://mmclassification.readthedocs.io/en/latest/tutorials/config.html) +- [Fine-tune Models](https://mmclassification.readthedocs.io/en/latest/tutorials/finetune.html) +- [Add New Dataset](https://mmclassification.readthedocs.io/en/latest/tutorials/new_dataset.html) +- [Customizie Data Pipeline](https://mmclassification.readthedocs.io/en/latest/tutorials/data_pipeline.html) +- [Add New Modules](https://mmclassification.readthedocs.io/en/latest/tutorials/new_modules.html) +- [Customizie Schedule](https://mmclassification.readthedocs.io/en/latest/tutorials/schedule.html) +- [Customizie Runtime Settings](https://mmclassification.readthedocs.io/en/latest/tutorials/runtime.html) + +Colab tutorials are also provided: + +- Learn about MMClassification **Python API**: [Preview the notebook](https://github.com/open-mmlab/mmclassification/blob/master/docs/en/tutorials/MMClassification_python.ipynb) or directly [run on Colab](https://colab.research.google.com/github/open-mmlab/mmclassification/blob/master/docs/en/tutorials/MMClassification_python.ipynb). +- Learn about MMClassification **CLI tools**: [Preview the notebook](https://github.com/open-mmlab/mmclassification/blob/master/docs/en/tutorials/MMClassification_tools.ipynb) or directly [run on Colab](https://colab.research.google.com/github/open-mmlab/mmclassification/blob/master/docs/en/tutorials/MMClassification_tools.ipynb). + +## Model zoo + +Results and models are available in the [model zoo](https://mmclassification.readthedocs.io/en/latest/model_zoo.html). + +
+Supported backbones + +- [x] [VGG](https://github.com/open-mmlab/mmclassification/tree/master/configs/vgg) +- [x] [ResNet](https://github.com/open-mmlab/mmclassification/tree/master/configs/resnet) +- [x] [ResNeXt](https://github.com/open-mmlab/mmclassification/tree/master/configs/resnext) +- [x] [SE-ResNet](https://github.com/open-mmlab/mmclassification/tree/master/configs/seresnet) +- [x] [SE-ResNeXt](https://github.com/open-mmlab/mmclassification/tree/master/configs/seresnet) +- [x] [RegNet](https://github.com/open-mmlab/mmclassification/tree/master/configs/regnet) +- [x] [ShuffleNetV1](https://github.com/open-mmlab/mmclassification/tree/master/configs/shufflenet_v1) +- [x] [ShuffleNetV2](https://github.com/open-mmlab/mmclassification/tree/master/configs/shufflenet_v2) +- [x] [MobileNetV2](https://github.com/open-mmlab/mmclassification/tree/master/configs/mobilenet_v2) +- [x] [MobileNetV3](https://github.com/open-mmlab/mmclassification/tree/master/configs/mobilenet_v3) +- [x] [Swin-Transformer](https://github.com/open-mmlab/mmclassification/tree/master/configs/swin_transformer) +- [x] [RepVGG](https://github.com/open-mmlab/mmclassification/tree/master/configs/repvgg) +- [x] [Vision-Transformer](https://github.com/open-mmlab/mmclassification/tree/master/configs/vision_transformer) +- [x] [Transformer-in-Transformer](https://github.com/open-mmlab/mmclassification/tree/master/configs/tnt) +- [x] [Res2Net](https://github.com/open-mmlab/mmclassification/tree/master/configs/res2net) +- [x] [MLP-Mixer](https://github.com/open-mmlab/mmclassification/tree/master/configs/mlp_mixer) +- [x] [DeiT](https://github.com/open-mmlab/mmclassification/tree/master/configs/deit) +- [x] [Conformer](https://github.com/open-mmlab/mmclassification/tree/master/configs/conformer) +- [x] [T2T-ViT](https://github.com/open-mmlab/mmclassification/tree/master/configs/t2t_vit) +- [x] [Twins](https://github.com/open-mmlab/mmclassification/tree/master/configs/twins) +- [x] [EfficientNet](https://github.com/open-mmlab/mmclassification/tree/master/configs/efficientnet) +- [x] [ConvNeXt](https://github.com/open-mmlab/mmclassification/tree/master/configs/convnext) +- [x] [HRNet](https://github.com/open-mmlab/mmclassification/tree/master/configs/hrnet) +- [x] [VAN](https://github.com/open-mmlab/mmclassification/tree/master/configs/van) +- [x] [ConvMixer](https://github.com/open-mmlab/mmclassification/tree/master/configs/convmixer) +- [x] [CSPNet](https://github.com/open-mmlab/mmclassification/tree/master/configs/cspnet) +- [x] [PoolFormer](https://github.com/open-mmlab/mmclassification/tree/master/configs/poolformer) +- [x] [MViT](https://github.com/open-mmlab/mmclassification/tree/master/configs/mvit) +- [x] [EfficientFormer](https://github.com/open-mmlab/mmclassification/tree/master/configs/efficientformer) +- [x] [HorNet](https://github.com/open-mmlab/mmclassification/tree/master/configs/hornet) + +
+ +## Contributing + +We appreciate all contributions to improve MMClassification. +Please refer to [CONTRUBUTING.md](https://mmclassification.readthedocs.io/en/latest/community/CONTRIBUTING.html) for the contributing guideline. + +## Acknowledgement + +MMClassification is an open source project that is contributed by researchers and engineers from various colleges and companies. We appreciate all the contributors who implement their methods or add new features, as well as users who give valuable feedbacks. +We wish that the toolbox and benchmark could serve the growing research community by providing a flexible toolkit to reimplement existing methods and develop their own new classifiers. + +## Citation + +If you find this project useful in your research, please consider cite: + +```BibTeX +@misc{2020mmclassification, + title={OpenMMLab's Image Classification Toolbox and Benchmark}, + author={MMClassification Contributors}, + howpublished = {\url{https://github.com/open-mmlab/mmclassification}}, + year={2020} +} +``` + +## License + +This project is released under the [Apache 2.0 license](LICENSE). + +## Projects in OpenMMLab + +- [MMCV](https://github.com/open-mmlab/mmcv): OpenMMLab foundational library for computer vision. +- [MIM](https://github.com/open-mmlab/mim): MIM installs OpenMMLab packages. +- [MMClassification](https://github.com/open-mmlab/mmclassification): OpenMMLab image classification toolbox and benchmark. +- [MMDetection](https://github.com/open-mmlab/mmdetection): OpenMMLab detection toolbox and benchmark. +- [MMDetection3D](https://github.com/open-mmlab/mmdetection3d): OpenMMLab's next-generation platform for general 3D object detection. +- [MMRotate](https://github.com/open-mmlab/mmrotate): OpenMMLab rotated object detection toolbox and benchmark. +- [MMSegmentation](https://github.com/open-mmlab/mmsegmentation): OpenMMLab semantic segmentation toolbox and benchmark. +- [MMOCR](https://github.com/open-mmlab/mmocr): OpenMMLab text detection, recognition, and understanding toolbox. +- [MMPose](https://github.com/open-mmlab/mmpose): OpenMMLab pose estimation toolbox and benchmark. +- [MMHuman3D](https://github.com/open-mmlab/mmhuman3d): OpenMMLab 3D human parametric model toolbox and benchmark. +- [MMSelfSup](https://github.com/open-mmlab/mmselfsup): OpenMMLab self-supervised learning toolbox and benchmark. +- [MMRazor](https://github.com/open-mmlab/mmrazor): OpenMMLab model compression toolbox and benchmark. +- [MMFewShot](https://github.com/open-mmlab/mmfewshot): OpenMMLab fewshot learning toolbox and benchmark. +- [MMAction2](https://github.com/open-mmlab/mmaction2): OpenMMLab's next-generation action understanding toolbox and benchmark. +- [MMTracking](https://github.com/open-mmlab/mmtracking): OpenMMLab video perception toolbox and benchmark. +- [MMFlow](https://github.com/open-mmlab/mmflow): OpenMMLab optical flow toolbox and benchmark. +- [MMEditing](https://github.com/open-mmlab/mmediting): OpenMMLab image and video editing toolbox. +- [MMGeneration](https://github.com/open-mmlab/mmgeneration): OpenMMLab image and video generative models toolbox. +- [MMDeploy](https://github.com/open-mmlab/mmdeploy): OpenMMLab model deployment framework. + + + + +%prep +%autosetup -n mmcls-0.25.0 + +%build +%py3_build + +%install +%py3_install +install -d -m755 %{buildroot}/%{_pkgdocdir} +if [ -d doc ]; then cp -arf doc %{buildroot}/%{_pkgdocdir}; fi +if [ -d docs ]; then cp -arf docs %{buildroot}/%{_pkgdocdir}; fi +if [ -d example ]; then cp -arf example %{buildroot}/%{_pkgdocdir}; fi +if [ -d examples ]; then cp -arf examples %{buildroot}/%{_pkgdocdir}; fi +pushd %{buildroot} +if [ -d usr/lib ]; then + find usr/lib -type f -printf "/%h/%f\n" >> filelist.lst +fi +if [ -d usr/lib64 ]; then + find usr/lib64 -type f -printf "/%h/%f\n" >> filelist.lst +fi +if [ -d usr/bin ]; then + find usr/bin -type f -printf "/%h/%f\n" >> filelist.lst +fi +if [ -d usr/sbin ]; then + find usr/sbin -type f -printf "/%h/%f\n" >> filelist.lst +fi +touch doclist.lst +if [ -d usr/share/man ]; then + find usr/share/man -type f -printf "/%h/%f.gz\n" >> doclist.lst +fi +popd +mv %{buildroot}/filelist.lst . +mv %{buildroot}/doclist.lst . + +%files -n python3-mmcls -f filelist.lst +%dir %{python3_sitelib}/* + +%files help -f doclist.lst +%{_docdir}/* + +%changelog +* Tue Apr 11 2023 Python_Bot - 0.25.0-1 +- Package Spec generated diff --git a/sources b/sources new file mode 100644 index 0000000..16f98e5 --- /dev/null +++ b/sources @@ -0,0 +1 @@ +1c3a899f73be4cbfad4ffb8b03cca7f7 mmcls-0.25.0.tar.gz -- cgit v1.2.3