https://github.com/bm777/data_augmentation

Data augmentation with tensorlfow 2
https://github.com/bm777/data_augmentation

Last synced: 7 months ago
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Data augmentation with tensorlfow 2

• Host: GitHub
• URL: https://github.com/bm777/data_augmentation
• Owner: bm777
• License: mit
• Created: 2020-07-20T10:09:24.000Z (over 5 years ago)
• Default Branch: master
• Last Pushed: 2020-07-21T13:43:04.000Z (over 5 years ago)
• Last Synced: 2025-02-06T02:17:35.562Z (11 months ago)
• Language: Jupyter Notebook
• Size: 4.83 MB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# Make a data augmentation with tensorflow and python

Write your own data augmentation with tensorflow2 and python 3

# Librairies used:

 - [x] Python 3.6

 - [x] Tensorflow 2.1.0

 - [x] Matplotlib 3

 - [x] Tensorflow_docs

 - [x] PIL

 - [x] Brain :)

### How to have it

make sure that you have tensorflow installed on your machine(Laptop). For my case, I have it on ubuntu 18.04.

The best way for you to install dependencies, it is virtualenvwrapper. How to install it in 1 minute -> [VIDEO](https://youtu.be/Tl3q8Wm0jvI)

```

#for dependencies:

pip install -r requirements.txt

#clone it by typing:

git clone https://github.com/bm777/Data_augmentation.git

cd Data_augmentation

#run it by typing:

python3 Data_augment.py

```

### Result of augmentation

![Data augment](assets/result.png)

### View of original image

![Data augment](assets/original.png)

### Credict

[TF: tensorflow](https://www.tensorflow.org/tutorials/images/data_augmentation)