My_classifier

Simple Custom DataSet Trainer Using Pytorch.

About
We can train custom dataset using this program with pytorch.
File descripttion
file description
./custom_traindata/* training image folds. (fold's names are label)
./custom_testdata/* testing image folds. (fold's names are label)
./exampleData example data for test excuting.
Requirements
```
python 3.x torch torchvision jupyter 
```
How to run
You can use your own image datasets.
Copy your image dataset folders(folder name is image's label) to ''./my_traindata/'' and ''./my_testdata/''
running example:
```
cd ~/my_classifier cd ./exampleData/ mv my_traindata/ .. mv my_testdata/ .. jupyter notebook run the 'my_Classifier.ipynb' in your jupyter environment. 
```
output:

Name		Name	Last commit message	Last commit date
Latest commit History 4 Commits
exampleData		exampleData
README.md		README.md
my_Classifier.ipynb		my_Classifier.ipynb
my_Classifier.py		my_Classifier.py
my_classifier_output1.PNG		my_classifier_output1.PNG
my_classifier_output2.png		my_classifier_output2.png

file	description
./custom_traindata/*	training image folds. (fold's names are label)
./custom_testdata/*	testing image folds. (fold's names are label)
./exampleData	example data for test excuting.