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Intelligent Mobile Projects with TensorFlow
book

Intelligent Mobile Projects with TensorFlow

by Jeff Tang
May 2018
Intermediate to advanced
404 pages
9h 37m
English
Packt Publishing
Content preview from Intelligent Mobile Projects with TensorFlow

Looking back at the iOS code using fast neural transfer models

There are several key code snippets in ViewController.mm that are unique in the pre-processing of the input image and post-processing of the transferred image:

  1. Two constants, wanted_width and wanted_height, are defined to be the same values as the image width and height of the image examples/content/dog.jpg of the repo in step 5:
const int wanted_width = 300;const int wanted_height = 400;
  1. The iOS's dispatch queue is used to load and run our fast neural transfer model in a non-UI thread and, after the style transferred image is generated, to send the image to the UI thread for display:
dispatch_async(dispatch_get_global_queue(0, 0), ^{ UIImage *img = imageStyleTransfer(@"fst_frozen_quantized"); ...
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Publisher Resources

ISBN: 9781788834544