Merge pull request #175 from UBC-MDS/docs-readme-tutorial

fix: Feedback addressed by Archer - Updated image loading instruction to use Pillow

README.md

@@ -58,20 +58,15 @@ To harness the image processing magic of SharpEdge, follow these steps:
     from sharpedge import seam_carve
     ```
 
-2. (Optional) Load your image as a NumPy array.
+2. (Optional) Load your image as a NumPy array (if it isn't already).
 
       ```python
-      # Ensure that you have matplotlib and numpy installed in your environment
-      import matplotlib.pyplot as plt
+      # Ensure that you have Pillow and numpy installed in your environment
+      from PIL import Image
       import numpy as np
 
       # Load the image from the given path
-      img = plt.imread(PATH_TO_IMAGE)
-
-      # Only execute this conversion for functions other than seam_carve
-      # Convert the loaded image to the range [0, 255] and cast it to np.uint8 
-      # This is necessary for processing images with most functions, but 'seam_carve' handles float inputs directly
-      img = np.round(np.clip(img * 255, 0, 255)).astype(np.uint8)
+      img = np.array(Image.open(PATH_TO_IMAGE))
       ```
 
 3. Process your images using the available functions: