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add Colab Tutorial in readme
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@ -106,6 +106,8 @@ Please refer to [install.md](/docs/en/install.md) for installation of MMFewShot
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If you are new of few shot learning, you can start with [learn the basics](docs/en/intro.md).
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If you are familiar with it, check out [getting_started.md](docs/en/get_started.md) for the basic usage of mmfewshot.
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We provide [fewshot classification colab tutorial](demo/MMFewShot_Tutorial-Classification.ipynb) and
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[fewshot detection colab tutorial](demo/MMFewShot_Tutorial-Detection.ipynb) for beginners.
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Refer to the below tutorials to dive deeper:
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@ -103,7 +103,7 @@ MMFewShot 依赖 [PyTorch](https://pytorch.org/) 和 [MMCV](https://github.com/o
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## 快速入门
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如果初次了解少样本学习,你可以从[基础介绍](docs/en/intro.md)开始了解少样本学习的基本概念和 MMFewShot 的框架。
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如果对少样本学习很熟悉,请参考[使用教程](docs/en/get_started.md)获取MMFewShot的基本用法。
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我们也为新手提供了[少样本分类的 colab 教程](demo/MMFewShot_Tutorial-Classification.ipynb)和[少样本检测的 colab 教程】](demo/MMFewShot_Tutorial-Detection.ipynb)。
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MMFewShot 也提供了其他更详细的教程,包括:
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- 少样本分类
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