sweep_patch.mjs

// 补笔合并参数扫描：同一张图跑多组参数，比"总笔数 / 可见差异 / 平均差"// 用法: node dev/sweep_patch.mjs dev/s2.raw '[{"patchShift":3,"patchCell":256},...]'import fs from 'node:fs';import path from 'node:path';import { fileURLToPath, pathToFileURL } from 'node:url';const here = path.dirname(fileURLToPath(import.meta.url));await import(pathToFileURL(path.join(here, '..', 'js/pipeline.js')).href);const rawPath = process.argv[2];const grid = JSON.parse(process.argv[3]);const buf = fs.readFileSync(rawPath);const W = buf.readInt32LE(0), H = buf.readInt32LE(4);const px = new Uint8ClampedArray(buf.buffer, buf.byteOffset + 8, W * H * 4);function score(canvasRgb) {  let sum = 0, bad = 0;  for (let i = 0; i < W * H; i++) {    for (let k = 0; k < 3; k++) {      const d = Math.abs(canvasRgb[i * 3 + k] - px[i * 4 + k]);      if (d > 8) bad++;      sum += d;    }  }  return { bad: bad / (W * H * 3) * 100, avg: sum / (W * H * 3) };}console.log(`[${path.basename(rawPath)}]  ${W}x${H}`);for (const g of grid) {  const t0 = Date.now();  const res = await globalThis.ISP_PIPELINE.run(px, W, H, Object.assign({ returnCanvas: true, returnKeys: false, debug: true }, g), () => {});  const sc = score(res.canvasRgb);  const sp = res.dbg && res.dbg.srcPieces ? res.dbg.srcPieces : 0;  let mb = 0, boxSum = 0, boxMax = 0;  for (const cl of res.clips) { mb += cl.w * cl.h; if (cl.w * cl.h > boxMax) boxMax = cl.w * cl.h; }  boxSum = mb;  console.log(`  ${JSON.stringify(g).padEnd(40)} 笔数 ${String(res.strokes.length).padStart(6)}  ` +              `每笔合入 ${(sp / Math.max(1, res.strokes.length)).toFixed(2)}  ` +              `可见差异 ${sc.bad.toFixed(2)}%  平均差 ${sc.avg.toFixed(2)}  ${((Date.now() - t0) / 1000).toFixed(0)}s  ` +              `裁剪总面 ${(boxSum / 1e6).toFixed(1)}Mpx 最大单块 ${(boxMax / 1e3).toFixed(0)}kpx`);  if (process.env.ROUNDS) console.log('    轮次: ' + JSON.stringify(res.dbg.rounds));}