/*------------------------------------------------------------------------- * drawElements Quality Program OpenGL ES Utilities * ------------------------------------------------ * * Copyright 2014 The Android Open Source Project * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * */ 'use strict'; goog.provide('framework.common.tcuFuzzyImageCompare'); goog.require('framework.common.tcuTexture'); goog.require('framework.common.tcuTextureUtil'); goog.require('framework.delibs.debase.deMath'); goog.require('framework.delibs.debase.deRandom'); goog.scope(function() { var tcuFuzzyImageCompare = framework.common.tcuFuzzyImageCompare; var deMath = framework.delibs.debase.deMath; var deRandom = framework.delibs.debase.deRandom; var tcuTexture = framework.common.tcuTexture; var tcuTextureUtil = framework.common.tcuTextureUtil; var DE_ASSERT = function(x) { if (!x) throw new Error('Assert failed'); }; /** * tcuFuzzyImageCompare.FuzzyCompareParams struct * @constructor * @param {number=} maxSampleSkip_ * @param {number=} minErrThreshold_ * @param {number=} errExp_ */ tcuFuzzyImageCompare.FuzzyCompareParams = function(maxSampleSkip_, minErrThreshold_, errExp_) { /** @type {number} */ this.maxSampleSkip = maxSampleSkip_ === undefined ? 8 : maxSampleSkip_; /** @type {number} */ this.minErrThreshold = minErrThreshold_ === undefined ? 4 : minErrThreshold_; /** @type {number} */ this.errExp = errExp_ === undefined ? 4.0 : errExp_; }; /** * @param {Array} v * @return {Array} */ tcuFuzzyImageCompare.roundArray4ToUint8Sat = function(v) { return [ deMath.clamp(Math.trunc(v[0] + 0.5), 0, 255), deMath.clamp(Math.trunc(v[1] + 0.5), 0, 255), deMath.clamp(Math.trunc(v[2] + 0.5), 0, 255), deMath.clamp(Math.trunc(v[3] + 0.5), 0, 255) ]; }; /** * @param {Array} pa * @param {Array} pb * @param {number} minErrThreshold * @return {number} */ tcuFuzzyImageCompare.compareColors = function(pa, pb, minErrThreshold) { /** @type {number}*/ var r = Math.max(Math.abs(pa[0] - pb[0]) - minErrThreshold, 0); /** @type {number}*/ var g = Math.max(Math.abs(pa[1] - pb[1]) - minErrThreshold, 0); /** @type {number}*/ var b = Math.max(Math.abs(pa[2] - pb[2]) - minErrThreshold, 0); /** @type {number}*/ var a = Math.max(Math.abs(pa[3] - pb[3]) - minErrThreshold, 0); /** @type {number}*/ var scale = 1.0 / (255 - minErrThreshold); /** @type {number}*/ var sqSum = (r * r + g * g + b * b + a * a) * (scale * scale); return Math.sqrt(sqSum); }; /** * @param {tcuTexture.RGBA8View} src * @param {number} u * @param {number} v * @param {number} NumChannels * @return {Array} */ tcuFuzzyImageCompare.bilinearSample = function(src, u, v, NumChannels) { /** @type {number}*/ var w = src.width; /** @type {number}*/ var h = src.height; /** @type {number}*/ var x0 = Math.floor(u - 0.5); /** @type {number}*/ var x1 = x0 + 1; /** @type {number}*/ var y0 = Math.floor(v - 0.5); /** @type {number}*/ var y1 = y0 + 1; /** @type {number}*/ var i0 = deMath.clamp(x0, 0, w - 1); /** @type {number}*/ var i1 = deMath.clamp(x1, 0, w - 1); /** @type {number}*/ var j0 = deMath.clamp(y0, 0, h - 1); /** @type {number}*/ var j1 = deMath.clamp(y1, 0, h - 1); /** @type {number}*/ var a = (u - 0.5) - Math.floor(u - 0.5); /** @type {number}*/ var b = (v - 0.5) - Math.floor(v - 0.5); /** @type {Array} */ var p00 = src.read(i0, j0, NumChannels); /** @type {Array} */ var p10 = src.read(i1, j0, NumChannels); /** @type {Array} */ var p01 = src.read(i0, j1, NumChannels); /** @type {Array} */ var p11 = src.read(i1, j1, NumChannels); /** @type {number} */ var dst = 0; // Interpolate. /** @type {Array}*/ var f = []; for (var c = 0; c < NumChannels; c++) { f[c] = p00[c] * (1.0 - a) * (1.0 - b) + (p10[c] * a * (1.0 - b)) + (p01[c] * (1.0 - a) * b) + (p11[c] * a * b); } return tcuFuzzyImageCompare.roundArray4ToUint8Sat(f); }; /** * @param {tcuTexture.RGBA8View} dst * @param {tcuTexture.RGBA8View} src * @param {number} shiftX * @param {number} shiftY * @param {Array} kernelX * @param {Array} kernelY * @param {number} DstChannels * @param {number} SrcChannels */ tcuFuzzyImageCompare.separableConvolve = function(dst, src, shiftX, shiftY, kernelX, kernelY, DstChannels, SrcChannels) { DE_ASSERT(dst.width == src.width && dst.height == src.height); /** @type {tcuTexture.TextureLevel} */ var tmp = new tcuTexture.TextureLevel(dst.getFormat(), dst.height, dst.width); var tmpView = new tcuTexture.RGBA8View(tmp.getAccess()); /** @type {number} */ var kw = kernelX.length; /** @type {number} */ var kh = kernelY.length; /** @type {Array} */ var sum = []; /** @type {number} */ var f; /** @type {Array} */ var p; // Horizontal pass // \note Temporary surface is written in column-wise order for (var j = 0; j < src.height; j++) { for (var i = 0; i < src.width; i++) { sum[0] = sum[1] = sum[2] = sum[3] = 0; for (var kx = 0; kx < kw; kx++) { f = kernelX[kw - kx - 1]; p = src.read(deMath.clamp(i + kx - shiftX, 0, src.width - 1), j, SrcChannels); sum = deMath.add(sum, deMath.scale(p, f)); } sum = tcuFuzzyImageCompare.roundArray4ToUint8Sat(sum); tmpView.write(j, i, sum, DstChannels); } } // Vertical pass for (var j = 0; j < src.height; j++) { for (var i = 0; i < src.width; i++) { sum[0] = sum[1] = sum[2] = sum[3] = 0; for (var ky = 0; ky < kh; ky++) { f = kernelY[kh - ky - 1]; p = tmpView.read(deMath.clamp(j + ky - shiftY, 0, tmpView.width - 1), i, DstChannels); sum = deMath.add(sum, deMath.scale(p, f)); } sum = tcuFuzzyImageCompare.roundArray4ToUint8Sat(sum); dst.write(i, j, sum, DstChannels); } } }; /** * @param {tcuFuzzyImageCompare.FuzzyCompareParams} params * @param {deRandom.Random} rnd * @param {Array} pixel * @param {tcuTexture.RGBA8View} surface * @param {number} x * @param {number} y * @param {number} NumChannels * @return {number} */ tcuFuzzyImageCompare.compareToNeighbor = function(params, rnd, pixel, surface, x, y, NumChannels) { /** @type {number} */ var minErr = 100; // (x, y) + (0, 0) minErr = Math.min(minErr, tcuFuzzyImageCompare.compareColors(pixel, surface.read(x, y, NumChannels), params.minErrThreshold)); if (minErr == 0.0) return minErr; // Area around (x, y) /** @type {Array>} */ var s_coords = [ [-1, -1], [0, -1], [1, -1], [-1, 0], [1, 0], [-1, 1], [0, 1], [1, 1] ]; /** @type {number} */ var dx; /** @type {number} */ var dy; for (var d = 0; d < s_coords.length; d++) { dx = x + s_coords[d][0]; dy = y + s_coords[d][1]; if (!deMath.deInBounds32(dx, 0, surface.width) || !deMath.deInBounds32(dy, 0, surface.height)) continue; minErr = Math.min(minErr, tcuFuzzyImageCompare.compareColors(pixel, surface.read(dx, dy, NumChannels), params.minErrThreshold)); if (minErr == 0.0) return minErr; } // Random bilinear-interpolated samples around (x, y) for (var s = 0; s < 32; s++) { dx = x + rnd.getFloat() * 2.0 - 0.5; dy = y + rnd.getFloat() * 2.0 - 0.5; /** @type {Array} */ var sample = tcuFuzzyImageCompare.bilinearSample(surface, dx, dy, NumChannels); minErr = Math.min(minErr, tcuFuzzyImageCompare.compareColors(pixel, sample, params.minErrThreshold)); if (minErr == 0.0) return minErr; } return minErr; }; /** * @param {Array} c * @return {number} */ tcuFuzzyImageCompare.toGrayscale = function(c) { return 0.2126 * c[0] + 0.7152 * c[1] + 0.0722 * c[2]; }; /** * @param {tcuTexture.TextureFormat} format * @return {boolean} */ tcuFuzzyImageCompare.isFormatSupported = function(format) { return format.type == tcuTexture.ChannelType.UNORM_INT8 && (format.order == tcuTexture.ChannelOrder.RGB || format.order == tcuTexture.ChannelOrder.RGBA); }; /** * @param {tcuFuzzyImageCompare.FuzzyCompareParams} params * @param {tcuTexture.ConstPixelBufferAccess} ref * @param {tcuTexture.ConstPixelBufferAccess} cmp * @param {tcuTexture.PixelBufferAccess} errorMask * @return {number} */ tcuFuzzyImageCompare.fuzzyCompare = function(params, ref, cmp, errorMask) { assertMsgOptions(ref.getWidth() == cmp.getWidth() && ref.getHeight() == cmp.getHeight(), 'Reference and result images have different dimensions', false, true); assertMsgOptions(ref.getWidth() == errorMask.getWidth() && ref.getHeight() == errorMask.getHeight(), 'Reference and error mask images have different dimensions', false, true); if (!tcuFuzzyImageCompare.isFormatSupported(ref.getFormat()) || !tcuFuzzyImageCompare.isFormatSupported(cmp.getFormat())) throw new Error('Unsupported format in fuzzy comparison'); /** @type {number} */ var width = ref.getWidth(); /** @type {number} */ var height = ref.getHeight(); /** @type {deRandom.Random} */ var rnd = new deRandom.Random(667); // Filtered /** @type {tcuTexture.TextureLevel} */ var refFiltered = new tcuTexture.TextureLevel(new tcuTexture.TextureFormat(tcuTexture.ChannelOrder.RGBA, tcuTexture.ChannelType.UNORM_INT8), width, height); /** @type {tcuTexture.TextureLevel} */ var cmpFiltered = new tcuTexture.TextureLevel(new tcuTexture.TextureFormat(tcuTexture.ChannelOrder.RGBA, tcuTexture.ChannelType.UNORM_INT8), width, height); var refView = new tcuTexture.RGBA8View(ref); var cmpView = new tcuTexture.RGBA8View(cmp); var refFilteredView = new tcuTexture.RGBA8View(tcuTexture.PixelBufferAccess.newFromTextureLevel(refFiltered)); var cmpFilteredView = new tcuTexture.RGBA8View(tcuTexture.PixelBufferAccess.newFromTextureLevel(cmpFiltered)); // Kernel = {0.15, 0.7, 0.15} /** @type {Array} */ var kernel = [0.1, 0.8, 0.1]; /** @type {number} */ var shift = Math.floor((kernel.length - 1) / 2); switch (ref.getFormat().order) { case tcuTexture.ChannelOrder.RGBA: tcuFuzzyImageCompare.separableConvolve(refFilteredView, refView, shift, shift, kernel, kernel, 4, 4); break; case tcuTexture.ChannelOrder.RGB: tcuFuzzyImageCompare.separableConvolve(refFilteredView, refView, shift, shift, kernel, kernel, 4, 3); break; default: throw new Error('tcuFuzzyImageCompare.fuzzyCompare - Invalid ChannelOrder'); } switch (cmp.getFormat().order) { case tcuTexture.ChannelOrder.RGBA: tcuFuzzyImageCompare.separableConvolve(cmpFilteredView, cmpView, shift, shift, kernel, kernel, 4, 4); break; case tcuTexture.ChannelOrder.RGB: tcuFuzzyImageCompare.separableConvolve(cmpFilteredView, cmpView, shift, shift, kernel, kernel, 4, 3); break; default: throw new Error('tcuFuzzyImageCompare.fuzzyCompare - Invalid ChannelOrder'); } /** @type {number} */ var numSamples = 0; /** @type {number} */ var errSum = 0.0; // Clear error mask to green. errorMask.clear([0.0, 1.0, 0.0, 1.0]); for (var y = 1; y < height - 1; y++) { for (var x = 1; x < width - 1; x += params.maxSampleSkip > 0 ? rnd.getInt(0, params.maxSampleSkip) : 1) { /** @type {number} */ var err = Math.min(tcuFuzzyImageCompare.compareToNeighbor(params, rnd, refFilteredView.read(x, y, 4), cmpFilteredView, x, y, 4), tcuFuzzyImageCompare.compareToNeighbor(params, rnd, cmpFilteredView.read(x, y, 4), refFilteredView, x, y, 4)); err = Math.pow(err, params.errExp); errSum += err; numSamples += 1; // Build error image. /** @type {number} */ var red = err * 500.0; /** @type {number} */ var luma = tcuFuzzyImageCompare.toGrayscale(cmp.getPixel(x, y)); /** @type {number} */ var rF = 0.7 + 0.3 * luma; errorMask.setPixel([red * rF, (1.0 - red) * rF, 0.0, 1.0], x, y); } } // Scale error sum based on number of samples taken errSum *= ((width - 2) * (height - 2)) / numSamples; return errSum; }; });