XCEPTION NETOWRK FOR OBJECT CLASSIFICATION

WHAT IS IT?

In this network a deep convolutional neural network architecture inspired by Inception, where Inception modules have been replaced with depthwise separable convolutions.This architecture, dubbed Xception, slightly outperforms Inception V3 on the ImageNet dataset (which Inception V3 was designed for), and significantly outperforms Inception V3 on a larger image classification dataset comprising 350 million images and 17,000 classes

HOW TO USE?

To run The Inference Script run this command python run.py Xception.h5 67586673.jpg

For help, python run.py -h

WHAT ARE THE REQUIREMENTS?

To get all the requirements and dependencies installed run the command For GPU - pip install -r gpu_requirements.txt For CPU - pip install -r cpu_requirements.txt