# Blur Generator
[](https://pypi.python.org/pypi/BlurGenerator/)[](https://pypi.python.org/pypi/BlurGenerator/)
[](https://github.com/NatLee/Blur-Generator/actions/workflows/test.yml)[](https://github.com/NatLee/Blur-Generator/actions/workflows/release.yml)
[](https://pypi.python.org/pypi/BlurGenerator/)[](https://pypi.python.org/pypi/BlurGenerator/)
[](https://pypi.python.org/pypi/BlurGenerator/)
[](https://pypi.python.org/pypi/BlurGenerator/)[](https://pypi.python.org/pypi/BlurGenerator/)[](https://pypi.python.org/pypi/BlurGenerator/)
[](https://www.python.org/)
This tool is for generating blur on images.
There are 3 types of blur modes of `motion`, `lens`, or `gaussian`.
We can use the results on model training or something else.
> You can find a simply use case with deep learning in https://github.com/NatLee/simply-blur-detector
## Installation
```bash
pip install blurgenerator
```
Check it on [Pypi](https://pypi.org/project/BlurGenerator/).
## Usage
```bash
blurgenerator --help
```
```bash
usage: blurgenerator [-h] [--input INPUT] [--input_depth_map INPUT_DEPTH_MAP] [--output OUTPUT] [--type TYPE] [--motion_blur_size MOTION_BLUR_SIZE] [--motion_blur_angle MOTION_BLUR_ANGLE] [--lens_radius LENS_RADIUS] [--lens_components LENS_COMPONENTS]
[--lens_exposure_gamma LENS_EXPOSURE_GAMMA] [--gaussian_kernel GAUSSIAN_KERNEL] [--depth_num_layers DEPTH_NUM_LAYERS] [--depth_min_blur DEPTH_MIN_BLUR] [--depth_max_blur DEPTH_MAX_BLUR]
Size for motion blur. Default is 100.
--motion_blur_angle MOTION_BLUR_ANGLE
Angle for motion blur. Default is 30.
--lens_radius LENS_RADIUS
Radius for lens blur. Default is 5.0.
--lens_components LENS_COMPONENTS
Components for lens blur. Default is 4.
--lens_exposure_gamma LENS_EXPOSURE_GAMMA
Exposure gamma for lens blur. Default is 2.
--gaussian_kernel GAUSSIAN_KERNEL
Kernel for gaussian. Default is 100.
--depth_num_layers DEPTH_NUM_LAYERS
Layer for depth blur. Default is 3.
--depth_min_blur DEPTH_MIN_BLUR
Min. blur for depth blur. Default is 1.
--depth_max_blur DEPTH_MAX_BLUR
Max. blur for depth blur. Default is 100.
```
## Example and Result
### Common use
- Original image
#### Usage
- Motion blur
`blurgenerator --type motion --input ./doc/test.png --output ./doc/motion.png`
```python
import cv2
from blurgenerator import motion_blur
img = cv2.imread('test.png')
result = motion_blur(img, size=100, angle=30)
cv2.imwrite('./output.png', result)
```
- Lens blur
`blurgenerator --type lens --input ./doc/test.png --output ./doc/lens.png`
```python
import cv2
from blurgenerator import lens_blur
img = cv2.imread('test.png')
result = lens_blur(img, radius=5, components=4, exposure_gamma=2)
cv2.imwrite('./output.png', result)
```
- Gaussian blur
`blurgenerator --type gaussian --input ./doc/test.png --output ./doc/gaussian.png`
```python
import cv2
from blurgenerator import gaussian_blur
img = cv2.imread('test.png')
result = gaussian_blur(img, 100)
cv2.imwrite('./output.png', result)
```
### With depth map
Feature from this [issue](https://github.com/NatLee/Blur-Generator/issues/1).
- Original image
- Depth map
#### Usage
- Motion blur with depth map
`blurgenerator --input .\doc\depth-test.jpg --type motion --input_depth_map .\doc\depth-map-test.png --depth_num_layers 5 --depth_min_blur 1 --depth_max_blur 50 --output .\doc\depth-motion-output.png`
```python
import cv2
from blurgenerator import motion_blur_with_depth_map
img = cv2.imread('test.jpg')
depth_img = cv2.imread('test-depth.png')
result = motion_blur_with_depth_map(
img,
depth_map=depth_img,
angle=30,
num_layers=10,
min_blur=1,
max_blur=50
)
cv2.imwrite('./output.png', result)
```
- Lens blur with depth map
`blurgenerator --input .\doc\depth-test.jpg --type lens --input_depth_map .\doc\depth-map-test.png --depth_num_layers 3 --depth_min_blur 1 --depth_max_blur 50 --output .\doc\depth-lens-output.png`
```python
import cv2
from blurgenerator import lens_blur_with_depth_map
img = cv2.imread('test.jpg')
depth_img = cv2.imread('test-depth.png')
result = lens_blur_with_depth_map(
img,
depth_map=depth_img,
components=5,
exposure_gamma=5,
num_layers=10,
min_blur=1,
max_blur=50
)
cv2.imwrite('./output.png', result)
```
- Gaussian blur with depth map
`blurgenerator --input .\doc\depth-test.jpg --type gaussian --input_depth_map .\doc\depth-map-test.png --depth_num_layers 3 --depth_min_blur 1 --depth_max_blur 50 --output .\doc\depth-gaussian-output.png`
```python
import cv2
from blurgenerator import gaussian_blur_with_depth_map
img = cv2.imread('test.jpg')
depth_img = cv2.imread('test-depth.png')
result = gaussian_blur_with_depth_map(
img,
depth_map=depth_img,
sigma=5,
num_layers=10,
min_blur=1,
max_blur=50
)
cv2.imwrite('./output.png', result)
```
## Contributor
<!-- ALL-CONTRIBUTORS-LIST:START - Do not remove or modify this section -->
<!-- prettier-ignore-start -->
<!-- markdownlint-disable -->
<table>
<tbody>
<tr>
<td align="center"><a href="https://github.com/NatLee"><img src="https://avatars.githubusercontent.com/u/10178964?v=3?s=100" width="100px;" alt="Nat Lee"/><br /><sub><b>Nat Lee</b></sub></a></td>
</tr>
</tbody>
</table>
<!-- markdownlint-restore -->
<!-- prettier-ignore-end -->
<!-- ALL-CONTRIBUTORS-LIST:END -->
## Reference
- [Circularly symmetric convolution and lens blur](http://yehar.com/blog/?p=1495)
## LICENSE
[MIT](LICENSE)
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"description": "# Blur Generator\n\n[](https://pypi.python.org/pypi/BlurGenerator/)[](https://pypi.python.org/pypi/BlurGenerator/)\n\n[](https://github.com/NatLee/Blur-Generator/actions/workflows/test.yml)[](https://github.com/NatLee/Blur-Generator/actions/workflows/release.yml)\n\n[](https://pypi.python.org/pypi/BlurGenerator/)[](https://pypi.python.org/pypi/BlurGenerator/)\n\n[](https://pypi.python.org/pypi/BlurGenerator/)\n\n[](https://pypi.python.org/pypi/BlurGenerator/)[](https://pypi.python.org/pypi/BlurGenerator/)[](https://pypi.python.org/pypi/BlurGenerator/)\n\n[](https://www.python.org/)\n\nThis tool is for generating blur on images.\n\nThere are 3 types of blur modes of `motion`, `lens`, or `gaussian`.\n\nWe can use the results on model training or something else.\n\n> You can find a simply use case with deep learning in https://github.com/NatLee/simply-blur-detector\n\n## Installation\n\n```bash\npip install blurgenerator\n```\n\nCheck it on [Pypi](https://pypi.org/project/BlurGenerator/).\n\n## Usage\n\n```bash\nblurgenerator --help\n```\n\n```bash\nusage: blurgenerator [-h] [--input INPUT] [--input_depth_map INPUT_DEPTH_MAP] [--output OUTPUT] [--type TYPE] [--motion_blur_size MOTION_BLUR_SIZE] [--motion_blur_angle MOTION_BLUR_ANGLE] [--lens_radius LENS_RADIUS] [--lens_components LENS_COMPONENTS]\n [--lens_exposure_gamma LENS_EXPOSURE_GAMMA] [--gaussian_kernel GAUSSIAN_KERNEL] [--depth_num_layers DEPTH_NUM_LAYERS] [--depth_min_blur DEPTH_MIN_BLUR] [--depth_max_blur DEPTH_MAX_BLUR]\n Size for motion blur. Default is 100.\n --motion_blur_angle MOTION_BLUR_ANGLE\n Angle for motion blur. Default is 30.\n --lens_radius LENS_RADIUS\n Radius for lens blur. Default is 5.0.\n --lens_components LENS_COMPONENTS\n Components for lens blur. Default is 4.\n --lens_exposure_gamma LENS_EXPOSURE_GAMMA\n Exposure gamma for lens blur. Default is 2.\n --gaussian_kernel GAUSSIAN_KERNEL\n Kernel for gaussian. Default is 100.\n --depth_num_layers DEPTH_NUM_LAYERS\n Layer for depth blur. Default is 3.\n --depth_min_blur DEPTH_MIN_BLUR\n Min. blur for depth blur. Default is 1.\n --depth_max_blur DEPTH_MAX_BLUR\n Max. blur for depth blur. Default is 100.\n```\n\n## Example and Result\n\n### Common use\n\n- Original image\n\n\n\n#### Usage\n\n- Motion blur\n\n`blurgenerator --type motion --input ./doc/test.png --output ./doc/motion.png`\n\n```python\nimport cv2\nfrom blurgenerator import motion_blur\nimg = cv2.imread('test.png')\nresult = motion_blur(img, size=100, angle=30)\ncv2.imwrite('./output.png', result)\n```\n\n\n\n- Lens blur\n\n`blurgenerator --type lens --input ./doc/test.png --output ./doc/lens.png`\n\n```python\nimport cv2\nfrom blurgenerator import lens_blur\nimg = cv2.imread('test.png')\nresult = lens_blur(img, radius=5, components=4, exposure_gamma=2)\ncv2.imwrite('./output.png', result)\n```\n\n\n\n- Gaussian blur\n\n`blurgenerator --type gaussian --input ./doc/test.png --output ./doc/gaussian.png`\n\n```python\nimport cv2\nfrom blurgenerator import gaussian_blur\nimg = cv2.imread('test.png')\nresult = gaussian_blur(img, 100)\ncv2.imwrite('./output.png', result)\n```\n\n\n\n### With depth map\n\nFeature from this [issue](https://github.com/NatLee/Blur-Generator/issues/1).\n\n- Original image\n\n\n\n- Depth map\n\n\n\n#### Usage\n\n- Motion blur with depth map\n\n`blurgenerator --input .\\doc\\depth-test.jpg --type motion --input_depth_map .\\doc\\depth-map-test.png --depth_num_layers 5 --depth_min_blur 1 --depth_max_blur 50 --output .\\doc\\depth-motion-output.png`\n\n```python\nimport cv2\nfrom blurgenerator import motion_blur_with_depth_map\nimg = cv2.imread('test.jpg')\ndepth_img = cv2.imread('test-depth.png')\nresult = motion_blur_with_depth_map(\n img,\n depth_map=depth_img,\n angle=30,\n num_layers=10,\n min_blur=1,\n max_blur=50\n)\ncv2.imwrite('./output.png', result)\n```\n\n\n\n- Lens blur with depth map\n\n`blurgenerator --input .\\doc\\depth-test.jpg --type lens --input_depth_map .\\doc\\depth-map-test.png --depth_num_layers 3 --depth_min_blur 1 --depth_max_blur 50 --output .\\doc\\depth-lens-output.png`\n\n```python\nimport cv2\nfrom blurgenerator import lens_blur_with_depth_map\nimg = cv2.imread('test.jpg')\ndepth_img = cv2.imread('test-depth.png')\nresult = lens_blur_with_depth_map(\n img,\n depth_map=depth_img,\n components=5,\n exposure_gamma=5,\n num_layers=10,\n min_blur=1,\n max_blur=50\n)\ncv2.imwrite('./output.png', result)\n```\n\n\n\n- Gaussian blur with depth map\n\n`blurgenerator --input .\\doc\\depth-test.jpg --type gaussian --input_depth_map .\\doc\\depth-map-test.png --depth_num_layers 3 --depth_min_blur 1 --depth_max_blur 50 --output .\\doc\\depth-gaussian-output.png`\n\n```python\nimport cv2\nfrom blurgenerator import gaussian_blur_with_depth_map\nimg = cv2.imread('test.jpg')\ndepth_img = cv2.imread('test-depth.png')\nresult = gaussian_blur_with_depth_map(\n img,\n depth_map=depth_img,\n sigma=5,\n num_layers=10,\n min_blur=1,\n max_blur=50\n)\ncv2.imwrite('./output.png', result)\n```\n\n\n\n## Contributor\n\n<!-- ALL-CONTRIBUTORS-LIST:START - Do not remove or modify this section -->\n<!-- prettier-ignore-start -->\n<!-- markdownlint-disable -->\n<table>\n <tbody>\n <tr>\n <td align=\"center\"><a href=\"https://github.com/NatLee\"><img src=\"https://avatars.githubusercontent.com/u/10178964?v=3?s=100\" width=\"100px;\" alt=\"Nat Lee\"/><br /><sub><b>Nat Lee</b></sub></a></td>\n </tr>\n </tbody>\n</table>\n\n<!-- markdownlint-restore -->\n<!-- prettier-ignore-end -->\n\n<!-- ALL-CONTRIBUTORS-LIST:END -->\n\n## Reference\n\n- [Circularly symmetric convolution and lens blur](http://yehar.com/blog/?p=1495)\n\n\n## LICENSE\n\n[MIT](LICENSE)\n",
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