an easy implement of AlexNet with tensorflow, which has a detailed explanation.

The code is an implement of AlexNet 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 "bvlc_alexnet.npy" which can be found hereor here(for users who can't download from the first link).

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 ：[email protected]