/external/webp/src/enc/ |
D | histogram.c | 115 sizeof(*set) + size * (sizeof(*set->histograms) + in VP8LAllocateHistogramSet() 122 set->histograms = (VP8LHistogram**)memory; in VP8LAllocateHistogramSet() 123 memory += size * sizeof(*set->histograms); in VP8LAllocateHistogramSet() 128 set->histograms[i] = (VP8LHistogram*)memory; in VP8LAllocateHistogramSet() 130 set->histograms[i]->literal_ = (uint32_t*)(memory + sizeof(VP8LHistogram)); in VP8LAllocateHistogramSet() 131 VP8LHistogramInit(set->histograms[i], cache_bits); in VP8LAllocateHistogramSet() 421 VP8LHistogram** const histograms = image_histo->histograms; in HistogramBuild() local 427 VP8LHistogramAddSinglePixOrCopy(histograms[ix], v); in HistogramBuild() 442 VP8LHistogram** const orig_histograms = orig_histo->histograms; in HistogramCopyAndAnalyze() 443 VP8LHistogram** const histograms = image_histo->histograms; in HistogramCopyAndAnalyze() local [all …]
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D | histogram.h | 54 VP8LHistogram** histograms; member
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D | vp8l.c | 437 const VP8LHistogram* const histo = histogram_image->histograms[i]; in GetHuffBitLengthsAndCodes() 478 VP8LHistogram* const histo = histogram_image->histograms[i]; in GetHuffBitLengthsAndCodes() 777 VP8LHistogramStoreRefs(refs, histogram_image->histograms[0]); in EncodeImageNoHuffman()
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/external/libchrome/base/metrics/ |
D | histogram_snapshot_manager_unittest.cc | 70 const std::vector<std::string>& histograms = in TEST_F() local 72 EXPECT_EQ(2U, histograms.size()); in TEST_F() 73 EXPECT_EQ("UmaHistogram", histograms[0]); in TEST_F() 74 EXPECT_EQ("UmaStabilityHistogram", histograms[1]); in TEST_F() 85 const std::vector<std::string>& histograms = in TEST_F() local 87 EXPECT_EQ(2U, histograms.size()); in TEST_F() 88 EXPECT_EQ("UmaHistogram", histograms[0]); in TEST_F() 89 EXPECT_EQ("UmaStabilityHistogram", histograms[1]); in TEST_F() 100 const std::vector<std::string>& histograms = in TEST_F() local 102 EXPECT_EQ(1U, histograms.size()); in TEST_F() [all …]
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D | sparse_histogram_unittest.cc | 89 StatisticsRecorder::Histograms histograms; in TEST_F() local 90 StatisticsRecorder::GetHistograms(&histograms); in TEST_F() 92 ASSERT_EQ(1U, histograms.size()); in TEST_F() 93 HistogramBase* sparse_histogram = histograms[0]; in TEST_F() 114 StatisticsRecorder::Histograms histograms; in TEST_F() local 115 StatisticsRecorder::GetHistograms(&histograms); in TEST_F() 116 ASSERT_EQ(2U, histograms.size()); in TEST_F() 118 std::string name1 = histograms[0]->histogram_name(); in TEST_F() 119 std::string name2 = histograms[1]->histogram_name(); in TEST_F()
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D | histogram_snapshot_manager.cc | 28 StatisticsRecorder::Histograms histograms; in PrepareDeltas() local 29 StatisticsRecorder::GetHistograms(&histograms); in PrepareDeltas() 30 for (StatisticsRecorder::Histograms::const_iterator it = histograms.begin(); in PrepareDeltas() 31 histograms.end() != it; in PrepareDeltas()
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/external/opencv3/3rdparty/libwebp/enc/ |
D | histogram.c | 61 + (uint64_t)size * sizeof(*set->histograms) in VP8LAllocateHistogramSet() 62 + (uint64_t)size * sizeof(**set->histograms); in VP8LAllocateHistogramSet() 68 set->histograms = (VP8LHistogram**)memory; in VP8LAllocateHistogramSet() 69 memory += size * sizeof(*set->histograms); in VP8LAllocateHistogramSet() 74 set->histograms[i] = bulk + i; in VP8LAllocateHistogramSet() 75 VP8LHistogramInit(set->histograms[i], cache_bits); in VP8LAllocateHistogramSet() 341 VP8LHistogram** const histograms = image->histograms; in HistogramBuildImage() local 346 VP8LHistogramAddSinglePixOrCopy(histograms[ix], v); in HistogramBuildImage() 381 in->histograms[i]->bit_cost_ = VP8LHistogramEstimateBits(in->histograms[i]); in HistogramCombine() 382 *out->histograms[i] = *in->histograms[i]; in HistogramCombine() [all …]
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D | histogram.h | 50 VP8LHistogram** histograms; member
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D | vp8l.c | 193 const VP8LHistogram* const histo = histogram_image->histograms[i]; in GetHuffBitLengthsAndCodes() 228 VP8LHistogram* const histo = histogram_image->histograms[i]; in GetHuffBitLengthsAndCodes() 488 VP8LHistogramStoreRefs(&refs, histogram_image->histograms[0]); in EncodeImageNoHuffman()
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/external/chromium-trace/catapult/telemetry/telemetry/value/ |
D | histogram_util_unittest.py | 32 histograms = [] 33 histograms.append("""{"count": 3, "buckets": [ 37 histograms.append("""{"count": 20, "buckets": [ 41 histograms.append("""{"count": 15, "buckets": [ 46 histogram_util.AddHistograms(histograms))
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/external/opencv3/doc/tutorials/imgproc/histograms/histogram_calculation/ |
D | histogram_calculation.markdown | 10 - To calculate histograms of arrays of images by using the OpenCV function @ref cv::calcHist 16 ### What are histograms? 67 - Plot the three histograms in a window 96 -# Now we are ready to start configuring the **histograms** for each plane. Since we are working 108 -# We want our bins to have the same size (uniform) and to clear the histograms in the 113 -# Finally, we create the Mat objects to save our histograms. Creating 3 (one for each plane): 117 -# We proceed to calculate the histograms by using the OpenCV function @ref cv::calcHist : 119 /// Compute the histograms: 140 -# Create an image to display the histograms: 142 // Draw the histograms for R, G and B [all …]
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/external/opencv3/doc/tutorials/imgproc/histograms/histogram_comparison/ |
D | histogram_comparison.markdown | 10 histograms match with each other. 11 - Use different metrics to compare histograms 16 - To compare two histograms ( \f$H_{1}\f$ and \f$H_{2}\f$ ), first we have to choose a *metric* 17 (\f$d(H_{1}, H_{2})\f$) to express how well both histograms match. 43 - Compare the histogram of the *base image* with respect to the 2 test histograms, the 84 -# Initialize the arguments to calculate the histograms (bins, ranges and channels H and S ). 96 -# Create the MatND objects to store the histograms: 118 and the other histograms:
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/external/opencv3/doc/py_tutorials/py_imgproc/py_histograms/py_histogram_begins/ |
D | py_histogram_begins.markdown | 8 - Find histograms, using both OpenCV and Numpy functions 9 - Plot histograms, using OpenCV and Matplotlib functions 37 terminologies related with histograms. 45 histograms](http://docs.opencv.org/doc/tutorials/imgproc/histograms/histogram_calculation/histogram… 99 np.histogram(). So for one-dimensional histograms, you can better try that. Don't forget to set 105 Now we should plot histograms, but how? 156 Well, here you adjust the values of histograms along with its bin values to look like x,y 164 We used cv2.calcHist() to find the histogram of the full image. What if you want to find histograms
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/external/opencv3/doc/py_tutorials/py_imgproc/py_histograms/py_2d_histogram/ |
D | py_2d_histogram.markdown | 7 In this chapter, we will learn to find and plot 2D histograms. It will be helpful in coming 15 intensity value of the pixel. But in two-dimensional histograms, you consider two features. Normally 16 it is used for finding color histograms where two features are Hue & Saturation values of every 21 for finding color histograms. We will try to understand how to create such a color histogram, and it 27 It is quite simple and calculated using the same function, **cv2.calcHist()**. For color histograms, 29 Grayscale). For 2D histograms, its parameters will be modified as follows:
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/external/opencv3/doc/tutorials/imgproc/ |
D | table_of_content_imgproc.markdown | 140 Where we learn how to create and generate histograms 148 Where we learn to calculate metrics between histograms 156 Where we learn how to use histograms to find similar objects in images
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/external/pdfium/samples/ |
D | image_diff.cc | 318 bool histograms = false; in main() local 330 histograms = true; in main() 347 return CompareImages(filename1, filename2, histograms); in main()
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/external/opencv3/doc/py_tutorials/py_imgproc/py_histograms/py_histogram_backprojection/ |
D | py_histogram_backprojection.markdown | 13 histograms**. 48 # Find the histograms using calcHist. Can be done with np.histogram2d also 121 -# "Indexing via color histograms", Swain, Michael J. , Third international conference on computer
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/external/opencv3/doc/py_tutorials/py_imgproc/ |
D | py_table_of_contents_imgproc.markdown | 50 about histograms in OpenCV
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/external/opencv3/doc/tutorials/imgproc/histograms/histogram_equalization/ |
D | histogram_equalization.markdown | 10 - To equalize histograms of images by using the OpenCV function @ref cv::equalizeHist
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/external/mesa3d/docs/ |
D | RELNOTES-3.3 | 120 Compute histograms for glDraw/Read/CopyPixels.
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/external/opencv3/modules/objdetect/src/opencl/ |
D | objdetect_hog.cl | 157 // Normalization of histograms via L2Hys_norm 208 // Normalization of histograms via L2Hys_norm
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/external/opencv3/doc/tutorials/imgproc/histograms/back_projection/ |
D | back_projection.markdown | 75 -# For stuff slightly fancier (using H-S histograms and floodFill to define a mask for the
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/external/opencv3/doc/py_tutorials/py_imgproc/py_thresholding/ |
D | py_thresholding.markdown | 153 # plot all the images and their histograms
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/external/opencv3/modules/core/doc/ |
D | intro.markdown | 16 remapping), color space conversion, histograms, and so on.
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/external/netperf/ |
D | Release_Notes | 203 the timings measured by histograms. Based on patches from Google.
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