ls -la /home/daytona/workspace/ && mkdir -p /home/daytona/workspace/img-edit

mkdir -p /home/daytona/img-edit && cd /home/daytona/img-edit && curl -s -o original.png "https://d361swluvexzqs.cloudfront.net/chats-attachments/IMG_9142-1780710587876-kqgdgl.png" && echo "Downloaded: $(ls -lh original.png)"

python3 << 'EOF' from PIL import Image import numpy as np img = Image.open("/home/daytona/img-edit/original.png") print(f"Size: {img.size}, Mode: {img.mode}") # Let's look at the area around the "19" text arr = np.array(img) print(f"Array shape: {arr.shape}") # The "19" is roughly in the upper center area of the image # Let's crop and inspect that region w, h = img.size # Approximate region for the amount text crop = img.crop((200, 200, 500, 340)) crop.save("/home/daytona/img-edit/crop_amount.png") print("Saved crop of amount area") EOF

python3 << 'EOF' from PIL import Image img = Image.open("/home/daytona/img-edit/original.png") w, h = img.size print(f"Full size: {w}x{h}") # The image is 1284x2778 # The "₹19" text appears to be in roughly the top 15-20% of the image # Let's crop a wider range centered crop = img.crop((300, 300, 980, 580)) crop.save("/home/daytona/img-edit/crop2.png") print("Saved crop2") EOF