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An easy implement of VGG19 with tensorflow, which has a detailed explanation.

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VGG19_with_tensorflow

An easy implement of VGG19 with tensorflow, which has a detailed explanation.

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The code is an implement of VGG19 with tensorflow. The detailed explanation can be found here.

Before running the code, you should confirm that you have :

  • Python (2 and 3 is all ok, 2 need a little change on function"print()")
  • tensorflow 1.0
  • opencv

Then, you should download the model file "vgg19.npy" which can be found here or here(for users in china).

Finally, run the test file with "python3 testModel.py -m folder -p testModel", you will see some images with the predicted label (press any key to move on to the next image).

The command also supports url.

For eg. "python3 testModel.py -m url -p http://www.cats.org.uk/uploads/images/featurebox_sidebar_kids/Cat-Behaviour.jpg"

You can also use tensorboard to monitor the process. Remeber to see detailed explanation.



If you have any problem, please contact me!

blog :http://blog.csdn.net/accepthjp

email :huangjipengnju@gmail.com

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