Image Augmentation Data Preparation Technique using Python Opencv Skimage PART-3
Hello friends
Today we will learn 3rd part of Image augmentation
In this part we will know about variouse type of effects on image.
In this part we will cover these effects:
1. Sharpen Effect
2. Emboss Effect
3. Edged Effect Sobel method
4. Addeptive Gaussian Noise Effect
5. Salt Effect
6. Paper Effect
7. Salt And Paper Effect
8. Contrast Effect
9. Edge Detect Canny method
10. Grayscale mode Effect
we will also see how we write its function and can also customise it according to our need
All the processing is done using Python, Opencv2, skimage, and Numpy
Git-Hub: https://github.com/AISangam/Image-Aug...
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