https://github.com/sunsided/python-conv2d

2D image convolution example in Python
https://github.com/sunsided/python-conv2d

2d-convolution image-processing python

Last synced: 3 months ago
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2D image convolution example in Python

• Host: GitHub
• URL: https://github.com/sunsided/python-conv2d
• Owner: sunsided
• Created: 2016-11-04T12:52:19.000Z (about 8 years ago)
• Default Branch: master
• Last Pushed: 2020-07-15T21:37:22.000Z (over 4 years ago)
• Last Synced: 2024-10-11T02:31:08.266Z (3 months ago)
• Topics: 2d-convolution, image-processing, python
• Language: Python
• Size: 15.6 KB
• Stars: 23
• Watchers: 3
• Forks: 19
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# 2D Convolutions in Python (OpenCV 2, numpy)

In order to demonstrate 2D kernel-based filtering without relying on library code too much, `convolutions.py` gives some examples to play around with.

```python

image = cv2.imread('clock.jpg', cv2.IMREAD_GRAYSCALE).astype(float) / 255.0

kernel = np.array([[1, 0, -1],

                   [1, 0, -1],

                   [1, 0, -1]])

filtered = cv2.filter2D(src=image, kernel=kernel, ddepth=-1)

cv2.imshow('horizontal edges', filtered)

```

In addition, `convolution_manual.py` implements a manual 2D convolution to explain the concept.