Based on the error message it seems you don’t have enough CPU RAM.
Could you observe the RAM with htop or any other tool while loading the features?
Are you trying to store all features of all videos in a list?
Also as a side note, if you just want to use the pretrained model to extract features, you should call model.eval() before using it and use
with torch.no_grad():
    image = ...
    features = resnet152(image)
    ...

to avoid computing intermediate results and save some GPU memory.