# Fill with gradient (BGR order) for y in range(H): img[y, :, 0] = int(255 * (y / H)) # Blue channel img[y, :, 1] = 128 # Green channel img[y, :, 2] = int(255 * (1 - y / H)) # Red channel
// Full‑image gradient var paint = new SKPaint 847 create an image full
# 2️⃣ Allocate full canvas (filled with transparent black) canvas = Image.new(MODE, (WIDTH, HEIGHT), (0, 0, 0, 0)) # Fill with gradient (BGR order) for y
const W = 847; const H = 847; const canvas = createCanvas(W, H); const ctx = canvas.getContext('2d'); 0)) const W = 847
# 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');
W, H = 847, 847 # Create an empty BGR image (3 channels) img = np.zeros((H, W, 3), dtype=np.uint8)
// Centered white circle ctx.strokeStyle = '#FFF'; ctx.lineWidth = 5; ctx.beginPath(); ctx.arc(W/2, H/2, W/4, 0, Math.PI * 2); ctx.stroke();