November 2017
Intermediate to advanced
304 pages
6h 58m
English
Content preview from Machine Learning with TensorFlow 1.x
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Pre-processing the video for training
UCF101 contains 13,320 video clips with a fixed frame rate and resolution of 25 FPS and 320 x 240 respectively. All video clips are stored in AVI format, so it is not convenient to use them in TensorFlow. Therefore, in this section, we will extract video frames from all the videos into JPEG files. We will only extract video frames at the fixed frame rate of 4 FPS so that we can reduce the input size of the network.
Before we start implementing the code, we need to install the av library from https://mikeboers.github.io/PyAV/installation.html.
First, create a Python package named scripts in the root folder. Then, create a new Python file at scripts/convert_ucf101.py. In the newly created file, add the ...
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