https://github.com/interactivetech/deepstyleartclassifier
CornellTech specialization project
https://github.com/interactivetech/deepstyleartclassifier
Last synced: 8 months ago
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CornellTech specialization project
- Host: GitHub
- URL: https://github.com/interactivetech/deepstyleartclassifier
- Owner: interactivetech
- Created: 2017-04-30T00:38:08.000Z (about 9 years ago)
- Default Branch: master
- Last Pushed: 2017-04-30T19:28:00.000Z (about 9 years ago)
- Last Synced: 2025-02-10T05:25:02.844Z (over 1 year ago)
- Language: Jupyter Notebook
- Size: 278 KB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# DeepStyleArtClassifier
## Specialization Project, Cornell Tech
Using Keras and Tensorflow to develop a classifier that can classify different art styles.
We will be leveraging weights from VGG16, VGG19, Inceptionv3, and ResNet50
## Installation
pip install -r requirements.txt
ipython notebook
### NOTE: I would recommend using virtualenv
links that helped this project:
Loading the models: http://www.pyimagesearch.com/2017/03/20/imagenet-vggnet-resnet-inception-xception-keras/
Training new model with VGG Model weights: https://blog.keras.io/building-powerful-image-classification-models-using-very-little-data.html