https://github.com/fajarbc/imgaug-bbox
Image augmentation for machine learning experiments.
https://github.com/fajarbc/imgaug-bbox
Last synced: over 1 year ago
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Image augmentation for machine learning experiments.
- Host: GitHub
- URL: https://github.com/fajarbc/imgaug-bbox
- Owner: fajarbc
- Created: 2022-03-24T19:27:35.000Z (about 4 years ago)
- Default Branch: main
- Last Pushed: 2022-03-24T21:00:41.000Z (about 4 years ago)
- Last Synced: 2025-01-17T13:48:26.685Z (over 1 year ago)
- Language: Jupyter Notebook
- Size: 12.3 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# imgaug-bbox
Image augmentation for machine learning experiments.
Based on [aleju/imgaug](https://github.com/aleju/imgaug) and implemetation of [asetkn](https://github.com/asetkn/Tutorial-Image-and-Multiple-Bounding-Boxes-Augmentation-for-Deep-Learning-in-4-Steps).
# Install
- Clone **imgaug-bbox**
```bash
git clone https://github.com/fajarbc/imgaug-bbox
cd imgaug-bbox
```
- Setup virtual environtement & Kernel
```bash
python -m venv venv
.\venv\Scripts\activate
pip install ipykernel
python -m ipykernel install --user --name=imgaug-bbox
```
- Install **imaug**
```bash
pip install git+https://github.com/aleju/imgaug.git
pip install imagecorruptions pandas
```
For more details, see the [install guide](https://imgaug.readthedocs.io/en/latest/source/installation.html).
# Running
- Before running, always make sure you are in venv environtment
```bash
.\venv\Scripts\activate
```
You should view something like ```(venv) C:\``` in your terminal.
- Run Jupyter Notebook
```sh
jupyter notebook
```
- Open **`Bounding-Boxes-Augmentation-Image.ipynb`** file
- Meet its requirements, make sure your kernel is **imgaug-bbox** and just run all the cells 