Hi, I am not able to understand how you have extracted the renext101-64f features. I am trying to extract features using the repository link provided here (https://github.com/kenshohara/video-classification-3d-cnn-pytorch). But, for each 16 frame it is giving me feature vector of 2048 dimenson. But your vectors seems to have 4096 dimension vectors for each 16 frames.
For resnet152 you have used 100 frames per video. Can you please explain how you have extracted those 100 frames. Also, resnet152 has vector size of 2048 but your vector are having dimension of 1024.
It would be very helpful if you can help me with this.
Hi, I am not able to understand how you have extracted the renext101-64f features. I am trying to extract features using the repository link provided here (https://github.com/kenshohara/video-classification-3d-cnn-pytorch). But, for each 16 frame it is giving me feature vector of 2048 dimenson. But your vectors seems to have 4096 dimension vectors for each 16 frames.
For resnet152 you have used 100 frames per video. Can you please explain how you have extracted those 100 frames. Also, resnet152 has vector size of 2048 but your vector are having dimension of 1024.
It would be very helpful if you can help me with this.