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Validate and test the trained a wider range of TensorFlow models
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@delhomer delhomer released this 28 Mar 10:42
· 526 commits to master since this release
v0.3.2
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Learn about vigilant mode.

In this patch, a more mature code is provided:

  • Dataset handling is factorized, we can now consider Mapillary or shape datasets starting from a common Dataset basis
  • Model handling is factorized, we can generate feature detection models or semantic segmentation models, with common behaviors (basic layer creation, for instance)
  • Some state-of-the-art models have been implemented (VGG, Inception)
  • A base of code has been deployed for considering Keras API (the switch from TensorFlow to Keras will be the object of a next minor release)
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