Classification on Naruto character eye images with various CNN for analysing the Neural Network accuracy.
- Sharingan
- Byakugan
- Others (Sage)
- Prepare Images in directory structure
- train
|_sharingan
|_byakugan
|_Others
- Train Command:
python train.py -d data/train/
- Test :
python test.py -m modules/LENET_naruto_eye.h5 -i data/test/sage_draw.jpeg
I have used the basic neural networks for testing purpose and will add more.
Structure:
Training result:
- https://towardsdatascience.com/the-4-convolutional-neural-network-models-that-can-classify-your-fashion-images-9fe7f3e5399d
- https://medium.com/@sidereal/cnns-architectures-lenet-alexnet-vgg-googlenet-resnet-and-more-666091488df5
- https://gist.github.com/baraldilorenzo/07d7802847aaad0a35d3
- https://machinelearningmastery.com/use-pre-trained-vgg-model-classify-objects-photographs/
- https://www.pyimagesearch.com/2017/12/11/image-classification-with-keras-and-deep-learning/
- Naruto fonts by Cufonfonts
- TensorFlow.js
- Release Notes of Tensorflow.js
- And All open source resources ..!