Awesome
OpencvQueen
<font color=red size=3>Set of Extensions and Custom control for standard types and classes.</font>
<font color=red>Just like Doraemon’s pocket, has an endless variety of props for us to use.</font>
Features
At the moment, the most important features of OpencvQueen can be summarized as follows:
- Hough line detection and correction text.
- Feature extraction processing.
- Repair old photos.
- Repair the picture to remove the watermark.
- Maximum area cut.
- Morphology operation.
- Blurred skin whitening treatment.
- Picture perspective or blend.
- Modify brightness and contrast.
- Picture mosaic tile.
<a id="Catalogue list"></a>Catalogue list
Methods and Functions
- <a id="OpenCV"></a>Opencv picture processing.
| Name | Signatures |
|---|---|
| Picture Tile | kj_opencvTiledRows:cols: |
| Four-point perspective image based on perspective | kj_opencvWarpPerspectiveWithKnownPoints:size: |
| Eliminate image highlights | kj_opencvIlluminationChangeBeta:alpha: |
| Picture Blending | kj_opencvBlendImage:alpha: |
| Adjust picture brightness and contrast | kj_opencvChangeContrast:luminance: |
| Modify the color of the picture channel value | kj_opencvChangeR:g:b: |
| Blur processing | kj_opencvBlurX:y: |
| Gaussian Blur | kj_opencvGaussianBlurX:y: |
| Median Blur | kj_opencvMedianBlurksize: |
| Gaussian Bilateral Blur | kj_opencvBilateralFilterBlurRadio:sigma: |
| Custom linear blur | kj_opencvCustomBlurksize: |
| Morphology operations | kj_opencvMorphology:element: |
| Remove watermark | kj_opencvInpaintImage: |
| Picture repair, effect enhancement processing | kj_opencvRepairImage |
| Cut out the largest inner rectangular area | kj_opencvCutMaxRegionImage |
| Feature extraction | kj_opencvFeatureExtractionFromSobel |
| Hough line judgment and correction | kj_opencvHoughLinesCorrectTextImageFillColor: |
☝ [Return to the catalogue list](#Catalogue list) ☝
CocoaPods
- If you want use this framework.☠️
pod 'OpencvQueen'
Ex
- <font color=red size=4>Download demo please execute first
pod install</font>
Remarks
The general process is almost like this, the Demo is also written in great detail, you can check it out for yourself.🎷
Tip: If you find it helpful, please help me with a star. If you have any questions or needs, you can also issue.
Thanks.🎇
About the author
- 🎷 E-mail address: yangkj310@gmail.com 🎷
- 🎸 GitHub address: yangKJ 🎸
License
OpencvQueen is available under the MIT license. See the LICENSE file for more info.