Machine Learning with TensorFlow 1.x

Input pipeline with RandomShuffleQueue

If you have read Chapter 9, Cruise Control - Automation, you will know that we can use TextLineReader in TensorFlow to simply read the text files line by line and use the line to read the image directly in TensorFlow. However, things get more complex as the data only contains the folder location and the label. Moreover, we only want a subset of frames in one folder. For example, if the number of frames is 30 and we only want 10 frames to train, we will randomize from 0 to 20 and select 10 frames from that point. Therefore, in this chapter, we will use another mechanism to sample the video frames in pure Python and put the selected frame paths into RandomShuffleQueue for training. We also use tf.train.batch_join ...