- 1 year ago
Comparing cursor icon bitmaps in python
To compare cursor icon bitmaps in Python, you can utilize image processing libraries such as OpenCV and NumPy. Here's a general approach to accomplish this:
Install libraries: Make sure you have OpenCV and NumPy installed in your Python environment. You can install them using pip:
shellpip install opencv-python numpy
Load and preprocess images: Load the two cursor icon images you want to compare. Preprocess the images by converting them to grayscale and resizing them to a consistent size for accurate comparison.
pythonimport cv2
import numpy as np
def preprocess_image(image_path, target_size):
image = cv2.imread(image_path)
gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
resized = cv2.resize(gray, target_size)
return resized
# Example usage
image1 = preprocess_image('cursor1.png', (32, 32))
image2 = preprocess_image('cursor2.png', (32, 32))
Adjust the target size according to your specific requirements.
Compare the images: Perform a pixel-by-pixel comparison of the two preprocessed images and calculate a similarity score. You can use techniques such as Structural Similarity Index (SSIM) or Mean Squared Error (MSE) to measure the similarity.
pythondef compare_images(image1, image2):
# Calculate the SSIM similarity score
score, _ = cv2.compareSSIM(image1, image2, full=True)
return score
similarity_score = compare_images(image1, image2)
print("Similarity score:", similarity_score)
The
compare_images()
function uses thecv2.compareSSIM()
function from OpenCV to calculate the SSIM similarity score between the two images. Other techniques, such as MSE, can be used based on your requirements.The similarity score will be a value between 0 and 1, where 1 represents a perfect match.
By following these steps, you can compare cursor icon bitmaps in Python and obtain a similarity score to assess their likeness.