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@ideaRunner #6
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@YaaYang |
thanks 所以说ActionDetect-DBG ReadME中说的 |
@lijiannuist 所以就是 使用 fc 之后的特征向量 并不是 global pool 之后的对吧 |
@YaaYang |
@lijiannuist thanks 这里的抽取特征就是指 global pool 之后的特征吗 然后 做 rescale 对吧 |
@lijiannuist Sorry 这里说的 global pool 是 https://github.com/yjxiong/temporal-segment-networks 中 inception FC的前一层 , 视频抽取特征是这个global pool的输出吗 thanks |
@lijiannuist Thanks ,,,,,,,,,,,,,, |
Hi @YaaYang , I am doing this part. I think the feature extraction code is from TSN official project and the model is released from anet2016 TSN project BTW, I have another question. As we don't need to re-train TSN model and the TSN feature extraction don't need the |
可能做了一些优化,但是,可以直接编译作者提供的lib/caffe_action里面的caffe就可以,我是这么做的 |
@gtgtgt1117 Yes, You are right. |
@ideaRunner
After you use TSN to extract video features, the features length is different. You must reshape these features by fitting and interpolation functions.
Originally posted by @lijiannuist in https://github.com/TencentYoutuResearch/ActionDetection-DBG/issues/1#issuecomment-554289967
how extract feature from tsn
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