To form sequences of frames that you want to pass to your LSTM model,you first need to decide on the length of the sequences you want to use. Next,you'll need to organize your data into these sequences. Let's say you have a video with 100 frames,and you decide to use sequences of 10 frames each. You would start by selecting the first 10 frames as your first sequence,then move one frame forward and select the next 10 frames as your second sequence,and so on,until you've covered the entire video. These sequences will form the input data for your LSTM model,allowing it to learn patterns and relationships over time from the sequential data. Once you have your sequences formed,you can then pass them to your LSTM model for training or prediction., Learn how to prepare your video data for LSTM models with six steps: frame selection, resizing, normalization, augmentation, sequence formation, and encoding., This first Machine Learning tutorial will cover the detailed and complete data pre-processing process in building Machine Learning models.. We’ll embrace pre-processing in data transformation .