Convolution is Evolution 😎

This is to see how a kernel will convolve over an image and what will be its output after convolution

Kernels that we are using:

• Horizontal kernel will extract all horizontal edges
• Vertical kernel will extract all vertical edges
• Edge kernel will extract all edges

Demo Image

Kernels with their output:

1. Horizontal Kernel

np.array([
    [-1, -1, -1],
    [ 0,  0,  0],
    [ 1,  1,  1],
])

2. Vertical Kernel

np.array([
    [-1,  0,  1],
    [-1,  0,  1],
    [-1,  0,  1],
])

3. Edge Kernel

np.array([
    [-1, -1, -1],
    [-1,  8, -1],
    [-1, -1, -1],
])

UI

I have created UI for this demo using Streamlit

• pip install streamlit
• streamlit run app.py