pixelmatch@5.3.0

https://www.npmjs.com/package/pixelmatch
目前为 2024-06-26 提交的版本。查看最新版本。
此脚本不应直接安装，它是一个供其他脚本使用的外部库。如果您需要使用该库，请在脚本元属性加入：// @require https://update.gf.qytechs.cn/scripts/498926/1400611/pixelmatch%40530.js
提问、发表评价，或者举报这个脚本。
Wrap lines
window.pixelmatch = (() => {
  var __getOwnPropNames = Object.getOwnPropertyNames;
  var __commonJS = (cb, mod) => function __require() {
    return mod || (0, cb[__getOwnPropNames(cb)[0]])((mod = { exports: {} }).exports, mod), mod.exports;
  };
 
  // entry.js
  var require_entry = __commonJS({
    "entry.js"(exports, module) {
      module.exports = pixelmatch;
      var defaultOptions = {
        threshold: 0.1,
        // matching threshold (0 to 1); smaller is more sensitive
        includeAA: false,
        // whether to skip anti-aliasing detection
        alpha: 0.1,
        // opacity of original image in diff output
        aaColor: [255, 255, 0],
        // color of anti-aliased pixels in diff output
        diffColor: [255, 0, 0],
        // color of different pixels in diff output
        diffColorAlt: null,
        // whether to detect dark on light differences between img1 and img2 and set an alternative color to differentiate between the two
        diffMask: false
        // draw the diff over a transparent background (a mask)
      };
      function pixelmatch(img1, img2, output, width, height, options) {
        if (!isPixelData(img1) || !isPixelData(img2) || output && !isPixelData(output))
          throw new Error("Image data: Uint8Array, Uint8ClampedArray or Buffer expected.");
        if (img1.length !== img2.length || output && output.length !== img1.length)
          throw new Error("Image sizes do not match.");
        if (img1.length !== width * height * 4) throw new Error("Image data size does not match width/height.");
        options = Object.assign({}, defaultOptions, options);
        const len = width * height;
        const a32 = new Uint32Array(img1.buffer, img1.byteOffset, len);
        const b32 = new Uint32Array(img2.buffer, img2.byteOffset, len);
        let identical = true;
        for (let i = 0; i < len; i++) {
          if (a32[i] !== b32[i]) {
            identical = false;
            break;
          }
        }
        if (identical) {
          if (output && !options.diffMask) {
            for (let i = 0; i < len; i++) drawGrayPixel(img1, 4 * i, options.alpha, output);
          }
          return 0;
        }
        const maxDelta = 35215 * options.threshold * options.threshold;
        let diff = 0;
        for (let y = 0; y < height; y++) {
          for (let x = 0; x < width; x++) {
            const pos = (y * width + x) * 4;
            const delta = colorDelta(img1, img2, pos, pos);
            if (Math.abs(delta) > maxDelta) {
              if (!options.includeAA && (antialiased(img1, x, y, width, height, img2) || antialiased(img2, x, y, width, height, img1))) {
                if (output && !options.diffMask) drawPixel(output, pos, ...options.aaColor);
              } else {
                if (output) {
                  drawPixel(output, pos, ...delta < 0 && options.diffColorAlt || options.diffColor);
                }
                diff++;
              }
            } else if (output) {
              if (!options.diffMask) drawGrayPixel(img1, pos, options.alpha, output);
            }
          }
        }
        return diff;
      }
      function isPixelData(arr) {
        return ArrayBuffer.isView(arr) && arr.constructor.BYTES_PER_ELEMENT === 1;
      }
      function antialiased(img, x1, y1, width, height, img2) {
        const x0 = Math.max(x1 - 1, 0);
        const y0 = Math.max(y1 - 1, 0);
        const x2 = Math.min(x1 + 1, width - 1);
        const y2 = Math.min(y1 + 1, height - 1);
        const pos = (y1 * width + x1) * 4;
        let zeroes = x1 === x0 || x1 === x2 || y1 === y0 || y1 === y2 ? 1 : 0;
        let min = 0;
        let max = 0;
        let minX, minY, maxX, maxY;
        for (let x = x0; x <= x2; x++) {
          for (let y = y0; y <= y2; y++) {
            if (x === x1 && y === y1) continue;
            const delta = colorDelta(img, img, pos, (y * width + x) * 4, true);
            if (delta === 0) {
              zeroes++;
              if (zeroes > 2) return false;
            } else if (delta < min) {
              min = delta;
              minX = x;
              minY = y;
            } else if (delta > max) {
              max = delta;
              maxX = x;
              maxY = y;
            }
          }
        }
        if (min === 0 || max === 0) return false;
        return hasManySiblings(img, minX, minY, width, height) && hasManySiblings(img2, minX, minY, width, height) || hasManySiblings(img, maxX, maxY, width, height) && hasManySiblings(img2, maxX, maxY, width, height);
      }
      function hasManySiblings(img, x1, y1, width, height) {
        const x0 = Math.max(x1 - 1, 0);
        const y0 = Math.max(y1 - 1, 0);
        const x2 = Math.min(x1 + 1, width - 1);
        const y2 = Math.min(y1 + 1, height - 1);
        const pos = (y1 * width + x1) * 4;
        let zeroes = x1 === x0 || x1 === x2 || y1 === y0 || y1 === y2 ? 1 : 0;
        for (let x = x0; x <= x2; x++) {
          for (let y = y0; y <= y2; y++) {
            if (x === x1 && y === y1) continue;
            const pos2 = (y * width + x) * 4;
            if (img[pos] === img[pos2] && img[pos + 1] === img[pos2 + 1] && img[pos + 2] === img[pos2 + 2] && img[pos + 3] === img[pos2 + 3]) zeroes++;
            if (zeroes > 2) return true;
          }
        }
        return false;
      }
      function colorDelta(img1, img2, k, m, yOnly) {
        let r1 = img1[k + 0];
        let g1 = img1[k + 1];
        let b1 = img1[k + 2];
        let a1 = img1[k + 3];
        let r2 = img2[m + 0];
        let g2 = img2[m + 1];
        let b2 = img2[m + 2];
        let a2 = img2[m + 3];
        if (a1 === a2 && r1 === r2 && g1 === g2 && b1 === b2) return 0;
        if (a1 < 255) {
          a1 /= 255;
          r1 = blend(r1, a1);
          g1 = blend(g1, a1);
          b1 = blend(b1, a1);
        }
        if (a2 < 255) {
          a2 /= 255;
          r2 = blend(r2, a2);
          g2 = blend(g2, a2);
          b2 = blend(b2, a2);
        }
        const y1 = rgb2y(r1, g1, b1);
        const y2 = rgb2y(r2, g2, b2);
        const y = y1 - y2;
        if (yOnly) return y;
        const i = rgb2i(r1, g1, b1) - rgb2i(r2, g2, b2);
        const q = rgb2q(r1, g1, b1) - rgb2q(r2, g2, b2);
        const delta = 0.5053 * y * y + 0.299 * i * i + 0.1957 * q * q;
        return y1 > y2 ? -delta : delta;
      }
      function rgb2y(r, g, b) {
        return r * 0.29889531 + g * 0.58662247 + b * 0.11448223;
      }
      function rgb2i(r, g, b) {
        return r * 0.59597799 - g * 0.2741761 - b * 0.32180189;
      }
      function rgb2q(r, g, b) {
        return r * 0.21147017 - g * 0.52261711 + b * 0.31114694;
      }
      function blend(c, a) {
        return 255 + (c - 255) * a;
      }
      function drawPixel(output, pos, r, g, b) {
        output[pos + 0] = r;
        output[pos + 1] = g;
        output[pos + 2] = b;
        output[pos + 3] = 255;
      }
      function drawGrayPixel(img, i, alpha, output) {
        const r = img[i + 0];
        const g = img[i + 1];
        const b = img[i + 2];
        const val = blend(rgb2y(r, g, b), alpha * img[i + 3] / 255);
        drawPixel(output, i, val, val, val);
      }
    }
  });
  return require_entry();
})();
欢迎访问Greasy Fork镜像
