Difference between revisions of "BarraCUDA Boiz"
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Revision as of 03:18, 5 February 2017
Contents
BarraCUDA Boiz
Team Members
Progress
Assignment 1
EucideanDistance
Profiled the following project on github which finds the euclidean distance transformation on given chart formatted in a text file. The project can be found here: here
The following is a example of the program running with an example input and the output afterwards.
Before: After: 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 1 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 1 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 1 1 1 1 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 1 1 2 1 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 1 1 1 1 1 1 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 1 1 2 3 2 1 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 1 1 1 1 1 1 1 1 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 1 1 2 3 4 3 2 1 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 1 1 1 1 1 1 1 1 1 1 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 1 0 0 1 1 2 3 4 4 4 3 2 1 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 1 0 1 1 2 3 4 4 5 4 4 3 2 1 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 1 0 1 2 3 4 4 5 6 5 4 4 3 2 1 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 1 0 1 2 3 4 5 6 7 6 5 4 3 2 1 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 1 1 0 1 2 3 4 5 6 7 6 5 4 3 2 1 0 0 0 0 0 0 1 0 0 0 0 1 1 1 0 1 0 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 0 0 0 0 1 1 1 0 1 0 0 1 2 3 4 5 5 6 5 5 4 3 2 1 1 1 1 1 1 1 0 0 0 0 0 1 0 0 0 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 1 1 2 3 3 4 4 5 4 4 3 3 2 1 0 0 0 0 0 0 0 0 0 0 0 1 0 1 1 1 0 0 1 1 1 1 1 1 1 1 1 1 1 1 1 0 0 0 0 0 0 0 0 0 0 0 1 0 1 1 1 0 0 1 1 2 2 3 4 4 4 3 2 2 1 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 1 1 1 1 1 1 1 1 1 1 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 1 1 2 3 4 3 2 1 1 1 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 1 1 1 1 1 1 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 1 1 2 3 2 1 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 1 1 1 1 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 1 1 2 1 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 1 1 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 1 1 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 1 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 1 1 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 1 2 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 1 1 1 1 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 1 1 2 1 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 1 1 1 1 1 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 1 2 3 2 1 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 1 1 1 1 1 1 1 1 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 1 1 2 3 4 3 2 1 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 1 1 1 1 1 1 1 1 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 1 1 2 3 4 4 4 3 2 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 1 1 1 1 1 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 2 3 4 4 5 4 4 3 2 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 1 1 1 1 1 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 3 4 4 5 6 5 4 4 3 2 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 1 1 1 1 1 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 3 4 5 6 7 6 5 4 3 2 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 1 1 1 1 1 1 1 1 1 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 2 3 4 5 6 7 6 5 4 3 2 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 1 1 1 1 1 1 1 1 1 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 2 3 4 5 5 6 5 5 4 3 2 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 1 1 1 1 1 1 1 1 1 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 2 3 3 4 4 5 4 4 3 3 2 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 1 1 1 1 1 1 1 1 1 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 1 2 2 3 4 4 4 3 2 2 1 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 1 1 1 1 1 1 1 1 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 1 1 1 2 3 4 3 2 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 1 1 1 1 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 1 1 2 3 2 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 1 0 0 0 0 0 0 1 1 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 1 0 0 0 0 0 0 1 1 2 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 1 2 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
At n = 1302:
Flat profile: Each sample counts as 0.01 seconds. no time accumulated % cumulative self self total time seconds seconds calls Ts/call Ts/call name 0.00 0.00 0.00 810 0.00 0.00 EuclideanDistanceTransform::loadNeighbors(int, int, int) 0.00 0.00 0.00 1 0.00 0.00 _GLOBAL__sub_I__ZN26EuclideanDistanceTransformC2ERSt14basic_ifstreamIcSt11char_traitsIcEERSt14basic_ofstreamIcS2_ES7_ 0.00 0.00 0.00 1 0.00 0.00 EuclideanDistanceTransform::zeroFramed() 0.00 0.00 0.00 1 0.00 0.00 EuclideanDistanceTransform::firstPassEuclideanDistance(std::basic_ofstream<char, std::char_traits<char> >&) 0.00 0.00 0.00 1 0.00 0.00 EuclideanDistanceTransform::secondPassEuclideanDistance(std::basic_ofstream<char, std::char_traits<char> >&) 0.00 0.00 0.00 1 0.00 0.00 EuclideanDistanceTransform::loadImage(std::basic_ifstream<char, std::char_traits<char> >&)
At n = 1000000:
Flat profile: Each sample counts as 0.01 seconds. % cumulative self self total time seconds seconds calls ms/call ms/call name 33.33 0.03 0.03 1 30.00 30.00 EuclideanDistanceTransform::loadImage(std::basic_ifstream<char, std::char_traits<char> >&) 22.22 0.05 0.02 1001696 0.00 0.00 EuclideanDistanceTransform::loadNeighbors(int, int, int) 22.22 0.07 0.02 EuclideanDistanceTransform::EuclideanDistanceTransform(std::basic_ifstream<char, std::char_traits<char> >&, std::basic_ofstream<char, std::char_traits<char> >&, std::basic_ofstream<char, std::char_traits<char> >&) 11.11 0.08 0.01 1 10.00 20.00 EuclideanDistanceTransform::firstPassEuclideanDistance(std::basic_ofstream<char, std::char_traits<char> >&) 11.11 0.09 0.01 1 10.00 20.00 EuclideanDistanceTransform::secondPassEuclideanDistance(std::basic_ofstream<char, std::char_traits<char> >&) 0.00 0.09 0.00 1 0.00 0.00 _GLOBAL__sub_I__ZN26EuclideanDistanceTransformC2ERSt14basic_ifstreamIcSt11char_traitsIcEERSt14basic_ofstreamIcS2_ES7_ 0.00 0.09 0.00 1 0.00 0.00 EuclideanDistanceTransform::zeroFramed()
At n = 10000000:
Flat profile: Each sample counts as 0.01 seconds. % cumulative self self total time seconds seconds calls ms/call ms/call name 35.14 0.26 0.26 EuclideanDistanceTransform::EuclideanDistanceTransform(std::basic_ifstream<char, std::char_traits<char> >&, std::basic_ofstream<char, std::char_traits<char> >&, std::basic_ofstream<char, std::char_traits<char> >&) 27.03 0.46 0.20 1 200.00 255.00 EuclideanDistanceTransform::secondPassEuclideanDistance(std::basic_ofstream<char, std::char_traits<char> >&) 20.27 0.61 0.15 1 150.00 205.00 EuclideanDistanceTransform::firstPassEuclideanDistance(std::basic_ofstream<char, std::char_traits<char> >&) 14.86 0.72 0.11 9998998 0.00 0.00 EuclideanDistanceTransform::loadNeighbors(int, int, int) 2.70 0.74 0.02 1 20.00 20.00 EuclideanDistanceTransform::loadImage(std::basic_ifstream<char, std::char_traits<char> >&) 0.00 0.74 0.00 1 0.00 0.00 _GLOBAL__sub_I__ZN26EuclideanDistanceTransformC2ERSt14basic_ifstreamIcSt11char_traitsIcEERSt14basic_ofstreamIcS2_ES7_ 0.00 0.74 0.00 1 0.00 0.00 EuclideanDistanceTransform::zeroFramed()
SeamCarving
Seam carving (or liquid re-scaling) is an algorithm for content-aware image resizing. It functions by establishing a number of seams (paths of least importance) in an image and automatically removes seams to reduce image size or inserts seams to extend it. The profiled project can be found on Github using this link: here
Here is an example of a test case:
I shrunk the image by 1000 pixels. Before:After:
On shrinking by 100 pixels.
Flat profile: Each sample counts as 0.01 seconds. % cumulative self self total time seconds seconds calls ms/call ms/call name 36.84 5.87 5.87 2549733700 0.00 0.00 unsigned char& cv::Mat::at<unsigned char>(int, int) 24.50 9.77 3.90 100 39.02 71.54 computeSeam(cv::_InputArray const&, std::vector<int, std::allocator<int> >&) 11.31 11.57 1.80 100 18.01 46.39 void carveSeam<unsigned char>(cv::Mat&, std::vector<int, std::allocator<int> >&) 7.76 12.81 1.24 558300205 0.00 0.00 int& cv::Mat::at<int>(int, int) 6.28 13.81 1.00 100 10.01 37.36 detectEdge(cv::_InputArray const&, cv::_OutputArray const&) 3.58 14.38 0.57 186060000 0.00 0.00 cvRound(double) 2.89 14.84 0.46 186060000 0.00 0.00 unsigned char cv::saturate_cast<unsigned char>(double) 2.64 15.26 0.42 186060000 0.00 0.00 unsigned char cv::saturate_cast<unsigned char>(int) 2.14 15.60 0.34 cv::Size_<int>::Size_(int, int) 1.70 15.87 0.27 186060000 0.00 0.00 std::vector<int, std::allocator<int> >::operator[](unsigned long) 0.44 15.94 0.07 frame_dummy 0.00 15.94 0.00 1003 0.00 0.00 cv::Mat::release()
On shrinking by 500 pixels.
Flat profile: Each sample counts as 0.01 seconds. % cumulative self self total time seconds seconds calls ms/call ms/call name 37.44 30.05 30.05 11103057554 0.00 0.00 unsigned char& cv::Mat::at<unsigned char>(int, int) 24.22 49.49 19.44 500 38.88 71.23 computeSeam(cv::_InputArray const&, std::vector<int, std::allocator<int> >&) 12.09 59.19 9.71 500 19.41 48.18 void carveSeam<unsigned char>(cv::Mat&, std::vector<int, std::allocator<int> >&) 7.57 65.27 6.07 500 12.15 37.01 detectEdge(cv::_InputArray const&, cv::_OutputArray const&) 7.17 71.02 5.75 2431501402 0.00 0.00 int& cv::Mat::at<int>(int, int) 2.94 73.38 2.36 810300000 0.00 0.00 cvRound(double) 2.46 75.36 1.98 810300000 0.00 0.00 unsigned char cv::saturate_cast<unsigned char>(double) 2.23 77.15 1.79 cv::Size_<int>::Size_(int, int) 1.89 78.66 1.52 810300000 0.00 0.00 unsigned char cv::saturate_cast<unsigned char>(int) 1.55 79.90 1.24 810300000 0.00 0.00 std::vector<int, std::allocator<int> >::operator[](unsigned long) 0.36 80.19 0.29 frame_dummy 0.12 80.29 0.10 500 0.20 0.20 std::vector<int, std::allocator<int> >::resize(unsigned long, int) 0.00 80.29 0.00 5003 0.00 0.00 cv::Mat::release()
On shrinking by 1000 pixels.
Flat profile: Each sample counts as 0.01 seconds. % cumulative self self total time seconds seconds calls ms/call ms/call name 38.13 40.06 40.06 18093467576 0.00 0.00 unsigned char& cv::Mat::at<unsigned char>(int, int) 24.02 65.30 25.23 1000 25.23 47.05 computeSeam(cv::_InputArray const&, std::vector<int, std::allocator<int> >&) 11.98 77.88 12.59 1000 12.59 32.07 void carveSeam<unsigned char>(cv::Mat&, std::vector<int, std::allocator<int> >&) 7.63 85.90 8.01 3963002390 0.00 0.00 int& cv::Mat::at<int>(int, int) 6.77 93.01 7.11 1000 7.11 23.07 detectEdge(cv::_InputArray const&, cv::_OutputArray const&) 2.56 95.70 2.69 1320600000 0.00 0.00 cvRound(double) 2.55 98.38 2.68 cv::Size_<int>::Size_(int, int) 2.25 100.75 2.37 1320600000 0.00 0.00 unsigned char cv::saturate_cast<unsigned char>(double) 2.02 102.88 2.13 1320600000 0.00 0.00 unsigned char cv::saturate_cast<unsigned char>(int) 1.87 104.84 1.96 1320600000 0.00 0.00 std::vector<int, std::allocator<int> >::operator[](unsigned long) 0.23 105.08 0.24 frame_dummy 0.04 105.12 0.04 1000 0.04 0.04 std::vector<int, std::allocator<int> >::resize(unsigned long, int)
