https://github.com/sirius-mhlee/image-classification-using-tensorflow-vgg16
Tensorflow implementation of Very Deep Convolutional Networks for Large-Scale Image Recognition.
https://github.com/sirius-mhlee/image-classification-using-tensorflow-vgg16
deep-learning image-classification paper-implementation python tensorflow vgg16
Last synced: 2 months ago
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Tensorflow implementation of Very Deep Convolutional Networks for Large-Scale Image Recognition.
- Host: GitHub
- URL: https://github.com/sirius-mhlee/image-classification-using-tensorflow-vgg16
- Owner: sirius-mhlee
- Created: 2018-04-14T11:47:41.000Z (about 8 years ago)
- Default Branch: master
- Last Pushed: 2019-01-28T10:01:16.000Z (over 7 years ago)
- Last Synced: 2025-02-02T11:11:21.769Z (over 1 year ago)
- Topics: deep-learning, image-classification, paper-implementation, python, tensorflow, vgg16
- Language: Python
- Homepage:
- Size: 105 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
Image Classification using Tensorflow VGG16
===========================================
Tensorflow implementation of the model described in the paper Very Deep Convolutional Networks for Large-Scale Image Recognition.
http://www.robots.ox.ac.uk/~vgg/research/very_deep/
Very Deep Convolutional Networks for Large-Scale Image Recognition
K. Simonyan, A. Zisserman
arXiv Technical report, 2014
ImageNet Large Scale Visual Recognition Competition 2014.
Training Usage
-----
python TrainingModel.py train_data_file max_epoch batch_size output_npy_file output_mean_file
ex)
python TrainingModel.py ./data/train_data.txt 3 3 ./vgg16/save_model.npy ./vgg16/save_mean.txt
Training Result
------
Prediction Usage
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python PredictionImage.py npy_file mean_file imagenet_label_file input_image_file
ex)
python PredictionImage.py ./vgg16/vgg16.npy ./vgg16/vgg16_mean.txt ./vgg16/imagenet_classes.txt ./example/lena.jpg
Prediction Result
------
 