# README

## spin up dev environment

```bash
# extract archive
$ tar -zxvf project.tar.gz
```

### frontend

```bash
$ cd project/frontend
$ yarn 
$ yarn dev
```

### backend(py_classifier)
```bash
# install miniconda
# https://docs.anaconda.com/miniconda/
# https://repo.anaconda.com/miniconda/Miniconda3-latest-Windows-x86_64.exe

# download and install miniconda
$ conda create --name opencv3 python=3
$ conda activate opencv3

# optional
$ pip install opencv-contrib-python==3.4.2.16

# run classifier backend
$ cd src
$ ./scripts/run.sh
```

## directory structure

```bash
├── docs                           # some documentation
├── poc                            # proff of concept workspace
    ├── 003-crawler                # image crawler   
    ├── 010-flask                  # python flask tryout
    └── 013-flask-nextjs-draft     # python / nextjs integration                
├── training                       # classifier training code
├── frontend                       # frontend code
├── py_classifier                  # backend code
└── test_images                    # test images
```

## References

- https://youtu.be/6hcjr5ISmzo
- https://docs.opencv.org/4.x/dc/d88/tutorial_traincascade.html
- https://github.com/Paradiddle131/Cigarette-Detection-with-Haar-Cascade-Classifier/tree/master
- https://pythonprogramming.net/haar-cascade-object-detection-python-opencv-tutorial/
- https://saturncloud.io/blog/installing-opencv-with-conda-a-guide-for-data-scientists/
- https://stackoverflow.com/questions/38787748/installing-opencv-3-1-with-anaconda-python3
- https://huggingface.co/chat/conversation/67252f087c8610524e155288
- https://github.com/search?q=opencv_createsamples&type=code&ref=advsearch
- https://github.com/Paradiddle131/Cigarette-Detection-with-Haar-Cascade-Classifier/tree/master