about anet code about rtd-action HOT 4 CLOSED

除了这个问题，我还想问下，你们在将activitynet1.3的特征进行线性插值时，有没有考虑它的帧频变成了25fps呢？因为线性插值的代码中会有计算num_frame和feature_frame的地方。num_frame（视频总帧数）你们是直接取标注json文件中的duration_frame值，还是使用视频的持续时间*25得到呢？因为标注文件中的帧频并不都是25fps，而我们使用的原始特征是以25fps的帧频提取特征。我看您anet.py中的代码好像并没有考虑25fps导致视频总帧数变化这个问题，而是直接采用标注json文件中的duration_frame值。

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I can run the code on my machine.

You can re-scale the feature to 100 with https://github.com/JJBOY/BMN-Boundary-Matching-Network/blob/master/data/activitynet_feature_cuhk/data_process.py.

I do not know the feature FPS, since we directly use the feature of PeisenZhao/Bottom-Up-TAL-with-MR#5.

Although we do not know the feature FPS, feature_frames == num_frames // 16 * 16
We perform interpolation based on the num_frames of json.

from rtd-action.

I can run the code on my machine.

You can re-scale the feature to 100 with https://github.com/JJBOY/BMN-Boundary-Matching-Network/blob/master/data/activitynet_feature_cuhk/data_process.py.

I do not know the feature FPS, since we directly use the feature of PeisenZhao/Bottom-Up-TAL-with-MR#5.

Although we do not know the feature FPS, feature_frames == num_frames // 16 * 16 We perform interpolation based on the num_frames of json.

can you provide the tsn feature of thumos14?

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https://github.com/wzmsltw/BSN-boundary-sensitive-network
https://drive.google.com/file/d/1ISemndlSDS2FtqQOKL0t3Cjj9yk2yznF/view

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