I have a unique implementation where I have to process videos with dynamic frame rates (that is the number of frames is different for each video in a batch). I am stacking all the frames in a single tensor and processing the same from there on. This works fine with Conv2D layer but creating a 2D tensor (batch_size, features) by a flattening operation this has to be fed to a Dense layer. I can't find a suitable way to implement this.

For more information on why it should be like this kindly explore: explore this link. Instead of the MNIST images, I have multiple videos in a single bag, each with a variable number of frames.


Your Answer

By clicking “Post Your Answer”, you agree to our terms of service, privacy policy and cookie policy

Browse other questions tagged or ask your own question.