Set of Extensions and Custom control for standard types and classes.
Just like Doraemon’s pocket, has an endless variety of props for us to use.
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.
| 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) ☝
- If you want use this framework.☠️
pod 'OpencvQueen'
- Download demo please execute first
pod install
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.🎇
- 🎷 E-mail address: [email protected] 🎷
- 🎸 GitHub address: yangKJ 🎸
OpencvQueen is available under the MIT license. See the LICENSE file for more info.