人脸识别-面向计算机视觉的基础库.zip

<div align="center"> <img src="https://raw.githubusercontent.com/open-mmlab/mmcv/master/docs/en/mmcv-logo.png" width="300"/> <div>&nbsp;</div> <div align="center"> <b><font size="5">OpenMMLab website</font></b> ^{<a href="https://openmmlab.com"> <i><font size="4">HOT</font></i> </a>} &nbsp;&nbsp;&nbsp;&nbsp; <b><font size="5">OpenMMLab platform</font></b> ^{<a href="https://platform.openmmlab.com"> <i><font size="4">TRY IT OUT</font></i> </a>} </div> <div>&nbsp;</div> </div> [](https://mmcv.readthedocs.io/en/latest/) [](https://mmcv.readthedocs.io/en/latest/get_started/installation.html) [](https://pypi.org/project/mmcv/) [](https://pytorch.org/get-started/previous-versions/) [](https://developer.nvidia.com/cuda-downloads) [](https://pypi.org/project/mmcv) [](https://github.com/open-mmlab/mmcv/actions) [](https://codecov.io/gh/open-mmlab/mmcv) [](https://github.com/open-mmlab/mmcv/blob/master/LICENSE) English | [简体中文](README_zh-CN.md) ## Highlights The OpenMMLab team released a new generation of training engine [MMEngine](https://github.com/open-mmlab/mmengine) at the World Artificial Intelligence Conference on September 1, 2022. It is a foundational library for training deep learning models. Compared with MMCV, it provides a universal and powerful runner, an open architecture with a more unified interface, and a more customizable training process. At the same time, MMCV released [2.x](https://github.com/open-mmlab/mmcv/tree/2.x) release candidate version and will release 2.x official version on January 1, 2023. In version 2.x, it removed components related to the training process and added a data transformation module. Also, starting from 2.x, it renamed the package names **mmcv** to **mmcv-lite** and **mmcv-full** to **mmcv**. For details, see [Compatibility Documentation](docs/en/compatibility.md). MMCV will maintain both `1.x` and `2.x` versions. For details, see [Branch Maintenance Plan](README.md#branch-maintenance-plan). ## Introduction MMCV is a foundational library for computer vision research and it provides the following functionalities: - [Universal IO APIs](https://mmcv.readthedocs.io/en/latest/understand_mmcv/io.html) - [Image/Video processing](https://mmcv.readthedocs.io/en/latest/understand_mmcv/data_process.html) - [Image and annotation visualization](https://mmcv.readthedocs.io/en/latest/understand_mmcv/visualization.html) - [Useful utilities (progress bar, timer, ...)](https://mmcv.readthedocs.io/en/latest/understand_mmcv/utils.html) - [PyTorch runner with hooking mechanism](https://mmcv.readthedocs.io/en/latest/understand_mmcv/runner.html) - [Various CNN architectures](https://mmcv.readthedocs.io/en/latest/understand_mmcv/cnn.html) - [High-quality implementation of common CPU and CUDA ops](https://mmcv.readthedocs.io/en/latest/understand_mmcv/ops.html) It supports the following systems: - Linux - Windows - macOS See the [documentation](http://mmcv.readthedocs.io/en/latest) for more features and usage. Note: MMCV requires Python 3.6+. ## Installation There are two versions of MMCV: - **mmcv-full**: comprehensive, with full features and various CPU and CUDA ops out of the box. It takes longer time to build. - **mmcv**: lite, without CPU and CUDA ops but all other features, similar to mmcv\<1.0.0. It is useful when you do not need those CUDA ops. **Note**: Do not install both versions in the same environment, otherwise you may encounter errors like `ModuleNotFound`. You need to uninstall one before installing the other. `Installing the full version is highly recommended if CUDA is available`. ### Install mmcv-full Before installing mmcv-full, make sure that PyTorch has been successfully installed following the [PyTorch official installation guide](https://github.com/pytorch/pytorch#installation). The command to install mmcv-full: ```bash pip install -U openmim mim install mmcv-full ``` If you need to specify the version of mmcv-full, you can use the following command: ```bash mim install mmcv-full==1.7.0 ``` If you find that the above installation command does not use a pre-built package ending with `.whl` but a source package ending with `.tar.gz`, you may not have a pre-build package corresponding to the PyTorch or CUDA or mmcv-full version, in which case you can [build mmcv-full from source](https://mmcv.readthedocs.io/en/latest/get_started/build.html). <details> <summary>Installation log using pre-built packages</summary> Looking in links: https://download.openmmlab.com/mmcv/dist/cu102/torch1.8.0/index.html<br /> Collecting mmcv-full<br /> <b>Downloading https://download.openmmlab.com/mmcv/dist/cu102/torch1.8.0/mmcv_full-1.6.1-cp38-cp38-manylinux1_x86_64.whl</b> </details> <details> <summary>Installation log using source packages</summary> Looking in links: https://download.openmmlab.com/mmcv/dist/cu102/torch1.8.0/index.html<br /> Collecting mmcv-full==1.6.0<br /> <b>Downloading mmcv-full-1.6.0.tar.gz</b> </details> For more installation methods, please refer to the [Installation documentation](https://mmcv.readthedocs.io/en/latest/get_started/installation.html). ### Install mmcv If you need to use PyTorch-related modules, make sure PyTorch has been successfully installed in your environment by referring to the [PyTorch official installation guide](https://github.com/pytorch/pytorch#installation). ```bash pip install -U openmim mim install mmcv ``` ## Branch Maintenance Plan MMCV currently has two branches, the master and 2.x branches, which go through the following three phases. | Phase | Time | Branch | description | | -------------------- | --------------------- | --------------------------------------------------------------------------------------------------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------- | | RC Period | 2022/9/1 - 2022.12.31 | Release candidate code (2.x version) will be released on 2.x branch. Default master branch is still 1.x version | Master and 2.x branches iterate normally | | Compatibility Period | 2023/1/1 - 2023.12.31 | **Default master branch will be switched to 2.x branch**, and 1.x branch will correspond to 1.x version | We still maintain the old version 1.x, respond to user needs, but try not to introduce changes that break compatibility; master branch iterates normally | | Maintenance Period | From 2024/1/1 | Default master branch corresponds to 2.x version and 1.x branch is 1.x version | 1.x branch is in maintenance phase, no more new feature support; master branch is iterating normally | ## Supported projects - [MIM](https://github.com/open-mmlab/mim): MIM installs OpenMMLab packages. - [MMClassification](https://github.com/open-mmlab/mmclassification): OpenMMLa