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Some confusions about extract my own pre-computed video features #22
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hello, could you see all the videos are valid? I also download the raw videos but some of them are not valid, which means I could not open the video. |
I met the same problem. But when I extract frame with the scikit-video, it did‘t report error!Maybe the player is the reason, |
@dongfengxijian Hello, sorry to bother you again, could I ask if you could abstract the same appearance feature that the author provided? For example, for the validation set, I set the clip as 16 and I abstract the 8th or 9th(actually I compare all the frames in one clip) frame appearance vector of the first clip and compare the first frame vector of the provide appearance vector, both dimension are (2048,), but I find the appearance vector is different. how about yours? |
I now might could answer you question at the beginning. You could separate the video directly from the train.csv val.csv test.csv to make the video split |
Should the appearance vector be same? I don't quite grasp your question |
Thank your for your guidance! |
@dongfengxijian , thanks for your answer! My question is: the appearance vector that I abstract is different from what the author provided, and how about you? Because we follow the same method, the appearance vector should be the same I think? because the weight of the resnext is fixed. |
I didn't use the original model, so I can't answer your question. I‘m sorry about that. |
I have the same issue |
Thank you for excellent work!I want to extract my own NExT-QA features. As the data preparation section of redeame, I download the the highlighted NExTVideo. When I unzip it,I don't know how to divide the raw video into train set, valid set and test set. The VidOR website also didn't provide the test set.
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