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Add more information on MMSelfSup (#24)
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‎codes/MMSelfSup_tutorials/【1】模型自监督预训练 之 SimCLR.ipynb

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"\n",
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"**MMSelfSup 官方文档链接**：[https://mmselfsup.readthedocs.io/en/latest](https://mmselfsup.readthedocs.io/en/latest)\n",
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"\n",
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"**MMSelfSup 视频教学**：[https://space.bilibili.com/1293512903/channel/collectiondetail?sid=657287](https://space.bilibili.com/1293512903/channel/collectiondetail?sid=657287)\n",
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"\n",
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"**MMSelfSup 代码库介绍 PPT 获取方式**：关注 OpenMMLab 公众号，后台回复：mmselfsup，即可获取课程 PPT\n",
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"\n",
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"**加入微信社群方式**：关注公众号，选择 “加入我们” -> “微信社区”，即可获取入群二维码。非常期待你的到来呀~\n",
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"\n",
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"**作者**：OpenMMLab"
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]
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},
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"metadata": {},
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"outputs": [],
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"source": [
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"!wget https://raw.githubusercontent.com/wangruohui/OpenMMLabCourse/main/codes/MMSelfSup_tutorials/anno_files/train.txt -P tiny-imagenet-200\n",
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"!wget https://raw.githubusercontent.com/wangruohui/OpenMMLabCourse/main/codes/MMSelfSup_tutorials/anno_files/val.txt -P tiny-imagenet-200"
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"!wget https://raw.githubusercontent.com/open-mmlab/OpenMMLabCourse/main/codes/MMSelfSup_tutorials/anno_files/train.txt -P tiny-imagenet-200\n",
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"!wget https://raw.githubusercontent.com/open-mmlab/OpenMMLabCourse/main/codes/MMSelfSup_tutorials/anno_files/val.txt -P tiny-imagenet-200"
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]
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},
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{

‎codes/MMSelfSup_tutorials/【2】图片向量可视化 t-SNE.ipynb

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"\n",
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"**MMSelfSup 官方文档链接**：[https://mmselfsup.readthedocs.io/en/latest](https://mmselfsup.readthedocs.io/en/latest)\n",
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"\n",
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"**MMSelfSup 视频教学**：[https://space.bilibili.com/1293512903/channel/collectiondetail?sid=657287](https://space.bilibili.com/1293512903/channel/collectiondetail?sid=657287)\n",
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"\n",
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"**MMSelfSup 代码库介绍 PPT 获取方式**：关注 OpenMMLab 公众号，后台回复：mmselfsup，即可获取课程 PPT\n",
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"\n",
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"**加入微信社群方式**：关注公众号，选择 “加入我们” -> “微信社区”，即可获取入群二维码。非常期待你的到来呀~\n",
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"\n",
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"**作者**：OpenMMLab"
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]
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},
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"metadata": {},
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"outputs": [],
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"source": [
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"!wget https://raw.githubusercontent.com/wangruohui/OpenMMLabCourse/main/codes/MMSelfSup_tutorials/anno_files/train.txt -P tiny-imagenet-200\n",
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"!wget https://raw.githubusercontent.com/wangruohui/OpenMMLabCourse/main/codes/MMSelfSup_tutorials/anno_files/val.txt -P tiny-imagenet-200"
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"!wget https://raw.githubusercontent.com/open-mmlab/OpenMMLabCourse/main/codes/MMSelfSup_tutorials/anno_files/train.txt -P tiny-imagenet-200\n",
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"!wget https://raw.githubusercontent.com/open-mmlab/OpenMMLabCourse/main/codes/MMSelfSup_tutorials/anno_files/val.txt -P tiny-imagenet-200"
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]
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},
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{

‎codes/MMSelfSup_tutorials/【3】自监督预训练模型的评估：“分类” 下游任务 之 线性评估.ipynb

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"\n",
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"**MMSelfSup 官方文档链接**：[https://mmselfsup.readthedocs.io/en/latest](https://mmselfsup.readthedocs.io/en/latest)\n",
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"\n",
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"**MMSelfSup 视频教学**：[https://space.bilibili.com/1293512903/channel/collectiondetail?sid=657287](https://space.bilibili.com/1293512903/channel/collectiondetail?sid=657287)\n",
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"\n",
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"**MMSelfSup 代码库介绍 PPT 获取方式**：关注 OpenMMLab 公众号，后台回复：mmselfsup，即可获取课程 PPT\n",
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"\n",
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"**加入微信社群方式**：关注公众号，选择 “加入我们” -> “微信社区”，即可获取入群二维码。非常期待你的到来呀~\n",
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"\n",
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"**作者**：OpenMMLab"
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]
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},
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"metadata": {},
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"outputs": [],
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"source": [
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"!wget https://raw.githubusercontent.com/wangruohui/OpenMMLabCourse/main/codes/MMSelfSup_tutorials/anno_files/train.txt -P tiny-imagenet-200\n",
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"!wget https://raw.githubusercontent.com/wangruohui/OpenMMLabCourse/main/codes/MMSelfSup_tutorials/anno_files/val.txt -P tiny-imagenet-200"
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"!wget https://raw.githubusercontent.com/open-mmlab/OpenMMLabCourse/main/codes/MMSelfSup_tutorials/anno_files/train.txt -P tiny-imagenet-200\n",
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"!wget https://raw.githubusercontent.com/open-mmlab/OpenMMLabCourse/main/codes/MMSelfSup_tutorials/anno_files/val.txt -P tiny-imagenet-200"
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]
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},
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{

‎codes/MMSelfSup_tutorials/【4】自监督预训练模型的评估：“分类” 下游任务 之 SVM 评估.ipynb

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"\n",
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"**MMSelfSup 官方文档链接**：[https://mmselfsup.readthedocs.io/en/latest](https://mmselfsup.readthedocs.io/en/latest)\n",
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"\n",
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"**MMSelfSup 视频教学**：[https://space.bilibili.com/1293512903/channel/collectiondetail?sid=657287](https://space.bilibili.com/1293512903/channel/collectiondetail?sid=657287)\n",
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"\n",
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"**MMSelfSup 代码库介绍 PPT 获取方式**：关注 OpenMMLab 公众号，后台回复：mmselfsup，即可获取课程 PPT\n",
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"\n",
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"**加入微信社群方式**：关注公众号，选择 “加入我们” -> “微信社区”，即可获取入群二维码。非常期待你的到来呀~\n",
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"\n",
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"**作者**：OpenMMLab"
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]
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},

‎codes/MMSelfSup_tutorials/【5】自监督预训练模型的评估：“检测”下游任务.ipynb

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"\n",
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"**MMSelfSup 官方文档链接**：[https://mmselfsup.readthedocs.io/en/latest](https://mmselfsup.readthedocs.io/en/latest)\n",
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"\n",
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"**MMSelfSup 视频教学**：[https://space.bilibili.com/1293512903/channel/collectiondetail?sid=657287](https://space.bilibili.com/1293512903/channel/collectiondetail?sid=657287)\n",
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"\n",
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"**MMSelfSup 代码库介绍 PPT 获取方式**：关注 OpenMMLab 公众号，后台回复：mmselfsup，即可获取课程 PPT\n",
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"\n",
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"**加入微信社群方式**：关注公众号，选择 “加入我们” -> “微信社区”，即可获取入群二维码。非常期待你的到来呀~\n",
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"\n",
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"**作者**：OpenMMLab"
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]
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},

‎codes/MMSelfSup_tutorials/【6】在 MMDetection 中使用自监督预训练模型.ipynb

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"\n",
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"**MMSelfSup 官方文档链接**：[https://mmselfsup.readthedocs.io/en/latest](https://mmselfsup.readthedocs.io/en/latest)\n",
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"\n",
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"**MMSelfSup 视频教学**：[https://space.bilibili.com/1293512903/channel/collectiondetail?sid=657287](https://space.bilibili.com/1293512903/channel/collectiondetail?sid=657287)\n",
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"\n",
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"**MMSelfSup 代码库介绍 PPT 获取方式**：关注 OpenMMLab 公众号，后台回复：mmselfsup，即可获取课程 PPT\n",
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"\n",
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"**加入微信社群方式**：关注公众号，选择 “加入我们” -> “微信社区”，即可获取入群二维码。非常期待你的到来呀~\n",
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"\n",
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"**作者**：OpenMMLab"
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]

‎codes/MMSelfSup_tutorials/【7】模型自监督预训练 之 MAE.ipynb

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"\n",
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"**MMSelfSup 官方文档链接**：[https://mmselfsup.readthedocs.io/en/latest](https://mmselfsup.readthedocs.io/en/latest)\n",
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"\n",
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"**MMSelfSup 视频教学**：[https://space.bilibili.com/1293512903/channel/collectiondetail?sid=657287](https://space.bilibili.com/1293512903/channel/collectiondetail?sid=657287)\n",
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"\n",
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"**MMSelfSup 代码库介绍 PPT 获取方式**：关注 OpenMMLab 公众号，后台回复：mmselfsup，即可获取课程 PPT\n",
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"\n",
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"**加入微信社群方式**：关注公众号，选择 “加入我们” -> “微信社区”，即可获取入群二维码。非常期待你的到来呀~\n",
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"\n",
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"**作者**：OpenMMLab"
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]
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},

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