VGG16_Keras_TensorFlow
====
This is a image classification by VGG16 pre-trained model.
# Envoriment #
Python3.5<br />
Keras2.0<br />
TensorFlow<br />
Windows10<br />
Most py-package (such like numpy or cv2...) you can install by pip install xx.whl from [here.](http://www.lfd.uci.edu/~gohlke/pythonlibs/ "pythonlibs")
# Steps
Download the weight file 'vgg16_weights_tf_dim_ordering_tf_kernels.h5'. In [here](https://github.com/fchollet/deep-learning-models/releases) and download it.</br>
Put the weight file into data/model
# Used Files #
_model/synset_words.txt_ : map class id (which is equal to line id) to synset_id and human words.
For example, If you get the prediction id is 281, then you should out put the 281th content in synset_words.txt.
_model/vgg16_weights_tf_dim_ordering_tf_kernels.h5_: special VGG16 pre-trained weight file for Keras2.
# Hint #
Mind the path which is used in windows. If you are UNIX player, should change the format.<br />
Any other errors happen you can check [my blog](http://www.cnblogs.com/luntai/p/6786500.html "轮胎的博客").<br />
You should be careful with the Keras's backend (th:theano or tf:tensorflow), because they have different mat size format.<br />
# Resource #
About model you can find in [Github-Glist.](https://gist.github.com/baraldilorenzo/07d7802847aaad0a35d3)<br />
About VGG16 network structure find in [here.](http://ethereon.github.io/netscope/#/gist/dc5003de6943ea5a6b8b)<br />
# Please #
Give me a *star*. Thks.
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VGG16分类.zip (19个子文件)
VGG16_for_SAR_Ship_Classification-master
VGG-16.ipynb 60KB
LICENSE 1KB
Ship_classification_model.ipynb 2.02MB
README.md 456B
vgg16_for_CIFAR10_with_pytorch-master
vgg16.py 9KB
README.md 256B
VGG16_Keras_TensorFlow-master
data
image
airplane.jpg 44KB
pig.jpg 8KB
cat1.jpg 98KB
zebra.jpg 22KB
model
synset_words.txt 31KB
RunMain.py 3KB
.idea
workspace.xml 20KB
VGG16_Keras_Tensorflow.iml 398B
misc.xml 729B
modules.xml 296B
CallResult.py 80B
__pycache__
CallResult.cpython-35.pyc 240B
README.md 2KB
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