semvec/pypi-packages huggingface dataset:
endoseg 0.6.0
Python module to segment the visible circular area of endoscopic images.
License: MIT License

Description
-----------
Endoseg is a Python package that facilitates the segmentation of the visible circular area of endoscopic images.

Install dependencies
------------
* Numpy
```bash
# Ubuntu/Debian
$ sudo apt update
$ sudo apt install python3-pip
$ python3 -m pip install numpy --user
```

* OpenCV
```bash
# Ubuntu/Debian
$ sudo apt update
$ sudo apt install libopencv-dev python3-opencv
```

Install with pip
----------------
```bash
$ python3 -m pip install endoseg --user
```

Install from source
-------------------
```bash
$ git clone https://github.com/luiscarlosgph/endoseg.git
$ cd endoseg
$ python3 setup.py install --user
```

Run
---
```bash
$ git clone https://github.com/luiscarlosgph/endoseg.git
$ cd endoseg
$ python3 -m endoseg.run --input data/demo.jpg --output-seg data/demo_seg.png --output-crop data/demo_crop.jpg
```
<table align="center">
  <tr>
    <td align="center">Input image</td> 
    <td align="center">Output segmentation</td>
    <td align="center">Output crop</td>
  </tr>
  <tr>
    <td align="center">
      <img src="https://github.com/luiscarlosgph/endoseg/blob/main/data/demo.jpg?raw=true" width=205>
    </td>
    <td align="center">
      <img src="https://github.com/luiscarlosgph/endoseg/blob/main/data/exemplary_seg.png?raw=true" width=205>
    </td>
    <td align="center">
      <img src="https://github.com/luiscarlosgph/endoseg/blob/main/data/exemplary_crop.jpg?raw=true" width=205>
    </td>
  </tr>
</table>

Note that the *output crop* is a square cut of the area within the segmentation mask.

Exemplary code snippet
----------------------
```python
# Read input image
im = cv2.imread('input_image.jpg', cv2.IMREAD_UNCHANGED)

# Segment the visible area of the endoscopic image
segmenter = endoseg.Segmenter()
seg = segmenter.segment(im)

# Save the segmentation to file
cv2.imwrite('output_segmentation.png', seg)

# Get a rectangular crop of the visible area
crop = segmenter.get_rect_crop(im)

# Save the crop to file
cv2.imwrite('output_crop.jpg', crop)
```

License
-------
This code is released under an 
[MIT license](https://github.com/luiscarlosgph/endoseg/blob/main/LICENSE).