ls /home/daytona/workspace/ 2>/dev/null || mkdir -p /home/daytona/workspace/anatomy-sections

mkdir -p /home/daytona/workspace/anatomy-sections && curl -s -o /home/daytona/workspace/anatomy-sections/original.png "https://d361swluvexzqs.cloudfront.net/chats-attachments/1-1781724151748-j9swhi.png" && python3 -c "from PIL import Image; img = Image.open('/home/daytona/workspace/anatomy-sections/original.png'); print(img.size)"

python3 << 'EOF' from PIL import Image img = Image.open('/home/daytona/workspace/anatomy-sections/original.png') W, H = img.size print(f"Image size: {W} x {H}") # 5 columns, 3 rows = 15 sections # Grid is roughly equal columns and rows # Row heights and col widths (approximate from visual) # Row 1: y 0 to ~340 # Row 2: y ~340 to ~680 # Row 3: y ~680 to 1024 col_count = 5 row_count = 3 col_w = W // col_count # 307 row_h = H // row_count # 341 print(f"Cell size: {col_w} x {row_h}") sections = [ "1_TMJ", "2_Muscles_of_Mastication", "3_Facial_Nerve_VII", "4_Trigeminal_Nerve_V", "5_Facial_Artery", "6_Cavernous_Sinus", "7_Parotid_Gland", "8_Submandibular_Gland", "9_Maxillary_Artery", "10_Scalp_Dangerous_Area", "11_Thyroid_Gland", "12_Carotid_Triangle", "13_Tongue", "14_Soft_Palate", "15_Pharynx", ] for i, name in enumerate(sections): row = i // col_count col = i % col_count x1 = col * col_w y1 = row * row_h x2 = x1 + col_w y2 = y1 + row_h # Slight padding trim (3px) so borders don't overlap pad = 2 crop = img.crop((x1+pad, y1+pad, x2-pad, y2-pad)) out_path = f"/home/daytona/workspace/anatomy-sections/{name}.png" crop.save(out_path, "PNG") print(f"Saved: {name}.png ({crop.size})") print("Done!") EOF

python3 << 'EOF' from PIL import Image import os sections_dir = "/home/daytona/workspace/anatomy-sections/" files = sorted([f for f in os.listdir(sections_dir) if f.endswith(".png") and f != "original.png"]) for fname in files: path = os.path.join(sections_dir, fname) img = Image.open(path) # Upscale 2x with LANCZOS for crisp text new_size = (img.width * 2, img.height * 2) upscaled = img.resize(new_size, Image.LANCZOS) upscaled.save(path, "PNG") print("All upscaled 2x") print("\n".join(files)) EOF