classify fashion-mnist dataset with pytorch

Overview

Fashion-Mnist Classifier with PyTorch

Inference

1- clone this repository:

git clone https://github.com/Jhamed7/Fashion-Mnist-Classifier.git

2- Install required packages:

pip install -r requirements.txt

3-Run below command in terminal:

python inference.py
  • by default this command uses test.png images to test classifier. to test other images(grayscale 28*28 pixels image), use below command:
       python inference.py --image <path_to_image>
  • also 'cpu' with use to run this command, use --device cuda to change this behavior.

Train

to train again model on Fashion-Mnist dataset, below command is the way:

python train.py --device <cpu or cuda> --batch_size <int> --epochs <int> --lr <learning rate: float>

this command assumes that you have dataset in a folder in a same directory.

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