# 5️⃣ Save (auto‑compresses to PNG) canvas.save("full_image_847.png", format="PNG") print("✅ Image saved as full_image_847.png") : 847 × 847 × 4 B ≈ 2.7 MB – well under typical desktop limits. If you bump the size to 10 000 × 10 000 , memory jumps to 381 MB ; consider tiling (see Section 6). 5.2 Python – OpenCV (NumPy) import cv2 import numpy as np
# 3️⃣ Draw a diagonal gradient (full‑image fill) draw = ImageDraw.Draw(canvas) for y in range(HEIGHT): r = int(255 * (y / HEIGHT)) # Red ramps from 0→255 g = 128 # Constant green b = int(255 * (1 - y / HEIGHT)) # Blue ramps down draw.line([(0, y), (WIDTH, y)], fill=(r, g, b, 255)) 847 create an image full
// Encode to PNG (lossless) using var data = bitmap.Encode(SKEncodedImageFormat.Png, 100); File.WriteAllBytes("skia_full_847.png", data.ToArray()); Console.WriteLine("✅ SkiaSharp image saved"); SkiaSharp automatically uses GPU acceleration when available, which can dramatically reduce the time required for rasterizing very large images. 5.5 Photoshop Scripting (ExtendScript) #target photoshop var W = 847; var H = 847; # 5️⃣ Save (auto‑compresses to PNG) canvas
// White circle paint = new SKPaint
# Save as PNG (lossless) cv2.imwrite("opencv_full_847.png", img) print("✅ OpenCV image saved") OpenCV leverages native C++ kernels, so even a 30 000 × 30 000 BGR image (≈ 2.7 GB) can be handled on a machine with sufficient RAM, and you can switch to cv2.imwrite(..., [cv2.IMWRITE_PNG_COMPRESSION, 9]) for tighter disk usage. 5.3 Node.js – Canvas (node‑canvas) const createCanvas = require('canvas'); const fs = require('fs'); Step‑by‑Step Workflow Below are concrete recipes for the
W, H = 847, 847 # Create an empty BGR image (3 channels) img = np.zeros((H, W, 3), dtype=np.uint8)
If you anticipate images larger than 20 000 × 20 000 px , prefer libraries that expose direct memory mapping (e.g., OpenCV, SkiaSharp) and support streaming/tiled rendering . 5. Step‑by‑Step Workflow Below are concrete recipes for the most common environments. All examples create a full‑size image of 847 × 847 px (the number you supplied) and then fill it with a gradient background, draw a shape, and write it to disk. Why 847 × 847? It demonstrates a non‑power‑of‑two dimension, which can expose alignment bugs that often trigger error 847. 5.1 Python – Pillow from PIL import Image, ImageDraw