# mmcq_numba
Faster MMCQ algorithm ( analyze dominant colors in image) with numba in python
## Installation
``` pip install mmcq-numba ```
## Usage
```python
from mmcq_numba.quantize import mmcq
color_count = 8 # the number of dominant colors
quantize = 5
path = <path to image>
rgb = cv2.cvtColor(cv2.imread(path),cv2.COLOR_BGR2RGB)
width,height,c = rgb.shape
rgb_resize = cv2.resize(rgb, (width//quantize, height//quantize))
width,height,c = rgb_resize.shape
colors = rgb_resize.reshape(width*height, c).astype(np.int64)
# input type must be 2d arrays((size, channels)), and dtype=np.int64
c_map = mmcq(colors, color_count)
```
## Reference
This project is based on [mmcq.py](https://github.com/kanghyojun/mmcq.py)
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