extracted_fps of Thumos14reduced-I3D-JOINTFeatures about wtalc-pytorch HOT 3 CLOSED

Please ignore the extracted_fps.npy file.

For I3D, we extract the video frames at 25fps and then extract a single feature vector for every 16 frame input to the network. We do the same thing for both the RGB and FLOW stream.

For UNT, we extract the video frames at 10 fps and then extract features for every frame (for flow it is a bit different and the input are 5 neighboring frames for every timestamp we want to extract the features). Then we pool 4 such features (non-overlapping) to get a single feature vector, which is then fed as input to our network (i.e., how the 2.5 features come from 10/4=2.5)

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Thank you for the detailed reply! That totally solved my confusion!

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Hello, I'm a newer, could you tell me that how to change the fps from 30 to 25 for each video? Should I need drop the frames whose index%6==0 ?

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