Image to Color By Number

The below Script does the following:

1. Image Loading: It loads an image (named "santa.png") using the PIL (Python Imaging Library) module.
2. Image Resizing: The image is resized to a smaller size (40x40 pixels) for simplicity. This step is optional but helps in managing complexity.
3. Image Conversion and Flattening: The image is converted to a NumPy array and then flattened to a 2D array. This process discards the alpha channel if present.
4. Color Reduction using K-Means Clustering: The script applies K-means clustering (from sklearn.cluster) on the color data to reduce the number of colors to six distinct colors.
5. Creation of a Numbered Image Array: Each pixel in the image is assigned a number corresponding to its cluster label from the K-means algorithm.
6. Color Map Creation: A color map is created that maps each cluster number to its respective color.
7. PDF Generation: The script then generates a PDF document using ReportLab. It creates a table where each cell corresponds to a pixel in the numbered image array. The table is styled with grid lines and centered text.
8. Color Map Saving: The color map is saved to a text file named "color_map.txt", listing each number and its corresponding color.