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# BMN模型数据使用说明 | ||
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BMN模型使用ActivityNet 1.3数据集,使用方法有如下两种方式: | ||
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方式一: | ||
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首先参考[下载说明](https://github.com/activitynet/ActivityNet/tree/master/Crawler)下载原始数据集。在训练此模型时,需要先使用TSN对源文件抽取特征。可以[自行抽取](https://github.com/yjxiong/temporal-segment-networks)视频帧及光流信息,预训练好的TSN模型可从[此处](https://github.com/yjxiong/anet2016-cuhk)下载。 | ||
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方式二: | ||
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我们也提供了处理好的视频特征,请下载[bmn\_feat](https://paddlemodels.bj.bcebos.com/video_detection/bmn_feat.tar.gz)数据后解压,同时相应的修改configs/bmn.yaml文件中的特征路径feat\_path。 |