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| 1 #include <cmath> | 1 #include <cmath> |
| 2 | 2 |
| 3 #include "SkBitmap.h" | 3 #include "SkBitmap.h" |
| 4 #include "skpdiff_util.h" | 4 #include "skpdiff_util.h" |
| 5 #include "SkPMetric.h" | 5 #include "SkPMetric.h" |
| 6 #include "SkPMetricUtil_generated.h" | 6 #include "SkPMetricUtil_generated.h" |
| 7 | 7 |
| 8 struct RGB { | 8 struct RGB { |
| 9 float r, g, b; | 9 float r, g, b; |
| 10 }; | 10 }; |
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| 251 // As we move down, scroll the row pointers down with us | 251 // As we move down, scroll the row pointers down with us |
| 252 for (int y = 0; y < matrixCount - 1; y++) | 252 for (int y = 0; y < matrixCount - 1; y++) |
| 253 { | 253 { |
| 254 rowPtrs[y] = rowPtrs[y + 1]; | 254 rowPtrs[y] = rowPtrs[y + 1]; |
| 255 } | 255 } |
| 256 rowPtrs[matrixCount - 1] += imageL->width; | 256 rowPtrs[matrixCount - 1] += imageL->width; |
| 257 writeRow += imageL->width; | 257 writeRow += imageL->width; |
| 258 } | 258 } |
| 259 } | 259 } |
| 260 | 260 |
| 261 static double pmetric(const ImageLAB* baselineLAB, const ImageLAB* testLAB, SkTD
Array<SkIPoint>* poi) { | 261 static double pmetric(const ImageLAB* baselineLAB, const ImageLAB* testLAB, int*
poiCount) { |
| 262 SkASSERT(baselineLAB); |
| 263 SkASSERT(testLAB); |
| 264 SkASSERT(poiCount); |
| 265 |
| 262 int width = baselineLAB->width; | 266 int width = baselineLAB->width; |
| 263 int height = baselineLAB->height; | 267 int height = baselineLAB->height; |
| 264 int maxLevels = 0; | 268 int maxLevels = 0; |
| 265 | 269 |
| 266 // Calculates how many levels to make by how many times the image can be div
ided in two | 270 // Calculates how many levels to make by how many times the image can be div
ided in two |
| 267 int smallerDimension = width < height ? width : height; | 271 int smallerDimension = width < height ? width : height; |
| 268 for ( ; smallerDimension > 1; smallerDimension /= 2) { | 272 for ( ; smallerDimension > 1; smallerDimension /= 2) { |
| 269 maxLevels++; | 273 maxLevels++; |
| 270 } | 274 } |
| 271 | 275 |
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| 309 convolve(&scratchImageL, true, testL.getLayer(levelIndex)); | 313 convolve(&scratchImageL, true, testL.getLayer(levelIndex)); |
| 310 } | 314 } |
| 311 | 315 |
| 312 // Compute F_freq - The elevation f | 316 // Compute F_freq - The elevation f |
| 313 for (int levelIndex = 0; levelIndex < maxLevels - 2; levelIndex++) { | 317 for (int levelIndex = 0; levelIndex < maxLevels - 2; levelIndex++) { |
| 314 float cpd = cyclesPerDegree[levelIndex]; | 318 float cpd = cyclesPerDegree[levelIndex]; |
| 315 thresholdFactorFrequency[levelIndex] = contrastSensitivityMax / | 319 thresholdFactorFrequency[levelIndex] = contrastSensitivityMax / |
| 316 contrast_sensitivity(cpd, 100.0f)
; | 320 contrast_sensitivity(cpd, 100.0f)
; |
| 317 } | 321 } |
| 318 | 322 |
| 319 int failures = 0; | |
| 320 // Calculate F | 323 // Calculate F |
| 321 for (int y = 0; y < height; y++) { | 324 for (int y = 0; y < height; y++) { |
| 322 for (int x = 0; x < width; x++) { | 325 for (int x = 0; x < width; x++) { |
| 323 float lBaseline; | 326 float lBaseline; |
| 324 float lTest; | 327 float lTest; |
| 325 baselineL.getLayer(0)->readPixel(x, y, &lBaseline); | 328 baselineL.getLayer(0)->readPixel(x, y, &lBaseline); |
| 326 testL.getLayer(0)->readPixel(x, y, &lTest); | 329 testL.getLayer(0)->readPixel(x, y, &lTest); |
| 327 | 330 |
| 328 float avgLBaseline; | 331 float avgLBaseline; |
| 329 float avgLTest; | 332 float avgLTest; |
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| 404 } | 407 } |
| 405 colorScale *= colorScale; | 408 colorScale *= colorScale; |
| 406 | 409 |
| 407 if ((contrastA * contrastA + contrastB * contrastB) * colorScale
> F) | 410 if ((contrastA * contrastA + contrastB * contrastB) * colorScale
> F) |
| 408 { | 411 { |
| 409 isFailure = true; | 412 isFailure = true; |
| 410 } | 413 } |
| 411 } | 414 } |
| 412 | 415 |
| 413 if (isFailure) { | 416 if (isFailure) { |
| 414 failures++; | 417 (*poiCount)++; |
| 415 poi->push()->set(x, y); | |
| 416 } | 418 } |
| 417 } | 419 } |
| 418 } | 420 } |
| 419 | 421 |
| 420 SkDELETE_ARRAY(cyclesPerDegree); | 422 SkDELETE_ARRAY(cyclesPerDegree); |
| 421 SkDELETE_ARRAY(contrast); | 423 SkDELETE_ARRAY(contrast); |
| 422 SkDELETE_ARRAY(thresholdFactorFrequency); | 424 SkDELETE_ARRAY(thresholdFactorFrequency); |
| 423 SkDELETE_ARRAY(contrastSensitivityTable); | 425 SkDELETE_ARRAY(contrastSensitivityTable); |
| 424 return 1.0 - (double)failures / (width * height); | 426 return 1.0 - (double)(*poiCount) / (width * height); |
| 425 } | 427 } |
| 426 | 428 |
| 427 const char* SkPMetric::getName() { | 429 const char* SkPMetric::getName() { |
| 428 return "perceptual"; | 430 return "perceptual"; |
| 429 } | 431 } |
| 430 | 432 |
| 431 int SkPMetric::queueDiff(SkBitmap* baseline, SkBitmap* test) { | 433 bool SkPMetric::diff(SkBitmap* baseline, SkBitmap* test, Result* result) { |
| 432 double startTime = get_seconds(); | 434 double startTime = get_seconds(); |
| 433 int diffID = fQueuedDiffs.count(); | |
| 434 QueuedDiff& diff = fQueuedDiffs.push_back(); | |
| 435 diff.result = 0.0; | |
| 436 | 435 |
| 437 // Ensure the images are comparable | 436 // Ensure the images are comparable |
| 438 if (baseline->width() != test->width() || baseline->height() != test->height
() || | 437 if (baseline->width() != test->width() || baseline->height() != test->height
() || |
| 439 baseline->width() <= 0 || baseline->height() <= 0) { | 438 baseline->width() <= 0 || baseline->height() <= 0) { |
| 440 diff.finished = true; | 439 return false; |
| 441 return diffID; | |
| 442 } | 440 } |
| 443 | 441 |
| 444 ImageLAB baselineLAB(baseline->width(), baseline->height()); | 442 ImageLAB baselineLAB(baseline->width(), baseline->height()); |
| 445 ImageLAB testLAB(baseline->width(), baseline->height()); | 443 ImageLAB testLAB(baseline->width(), baseline->height()); |
| 446 | 444 |
| 447 bitmap_to_cielab(baseline, &baselineLAB); | 445 bitmap_to_cielab(baseline, &baselineLAB); |
| 448 bitmap_to_cielab(test, &testLAB); | 446 bitmap_to_cielab(test, &testLAB); |
| 449 | 447 |
| 450 diff.result = pmetric(&baselineLAB, &testLAB, &diff.poi); | 448 result->poiCount = 0; |
| 449 result->result = pmetric(&baselineLAB, &testLAB, &result->poiCount); |
| 450 result->timeElapsed = get_seconds() - startTime; |
| 451 | 451 |
| 452 SkDebugf("Time: %f\n", (get_seconds() - startTime)); | 452 return true; |
| 453 | |
| 454 return diffID; | |
| 455 } | 453 } |
| 456 | |
| 457 | |
| 458 void SkPMetric::deleteDiff(int id) { | |
| 459 | |
| 460 } | |
| 461 | |
| 462 bool SkPMetric::isFinished(int id) { | |
| 463 return fQueuedDiffs[id].finished; | |
| 464 } | |
| 465 | |
| 466 double SkPMetric::getResult(int id) { | |
| 467 return fQueuedDiffs[id].result; | |
| 468 } | |
| 469 | |
| 470 int SkPMetric::getPointsOfInterestCount(int id) { | |
| 471 return fQueuedDiffs[id].poi.count(); | |
| 472 } | |
| 473 | |
| 474 SkIPoint* SkPMetric::getPointsOfInterest(int id) { | |
| 475 return fQueuedDiffs[id].poi.begin(); | |
| 476 } | |
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