The Fun Task — A Scenery Using NumPy Array

NumPy provides powerful tools for manipulating arrays, making it perfect for creating simple images from scratch. Let’s draw a basic scenery using NumPy arrays.

A glimpse of code:

def draw_landscape(width, height)
    # Create a blank canvas
    canvas = np.zeros((height, width, 3), dtype=np.uint8)
    print("Creating Blank canvas...")
    show(canvas)
   
    # Sky - a blue gradient
    sky_color = [135, 206, 235]
    for y in range(height):
        canvas[y, :, :] = sky_color
    print("Painting Sky...")
    show(canvas)

    ...

After running the above code we can see a beautiful yet simple scenery

The Output

The Numpy Scenery!!

Conclusion:

In the captivating realm of image processing using Python, we have explored three exciting tasks that demonstrate the power and versatility of the Python programming language. By leveraging the capabilities of libraries like OpenCV, Pillow, and NumPy, we have accomplished impressive feats with ease.

Through these tasks, we’ve experienced the true potential of image processing in Python. From basic image manipulation to more advanced computer vision tasks, Python empowers us to unlock hidden insights, enhance visual content, and unleash our creativity in countless ways.