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# Modify code to only do "compute_asift_keypoints" (matching is not interesting, since it was covered in the previous session)
 
# Modify code to only do "compute_asift_keypoints" (matching is not interesting, since it was covered in the previous session)
 
# Run the valgrind profiler  
 
# Run the valgrind profiler  
eg:
 
  
g++ -std=c++11 cpuload.cpp -o cpuload
+
eg, for cpuload program:
 
+
g++ -std=c++11 cpuload.cpp -o cpuload (compile program cpuload)
// run the program with callgrind; generates a file callgrind.out.12345 that can be viewed with kcachegrind
+
valgrind --tool=callgrind ./cpuload  (run the program with callgrind; generates a file callgrind.out.12345 that can be viewed with kcachegrind)
 
+
kcachegrind profile.callgrind // open profile.callgrind with kcachegrind
valgrind --tool=callgrind ./cpuload
 
 
 
// open profile.callgrind with kcachegrind
 
 
 
kcachegrind profile.callgrind
 
  
 
'''Note''': Valgrind is also great for checking memory leaks:
 
'''Note''': Valgrind is also great for checking memory leaks:

Versiunea de la data 12 aprilie 2018 16:00

Session 5

Task: run an open-source profiler (valgrind & gprof or visual studio) and improve performance of keypoint extraction in ASIFT C++ code

  1. Download ASIFT project from here: http://www.ipol.im/pub/art/2011/my-asift/
  2. Run demo_ASIFT with the two included Adams as input images from the Sixtine Chapel. Horizontal result should look like this: Hadam.png
  3. Modify code to only do "compute_asift_keypoints" (matching is not interesting, since it was covered in the previous session)
  4. Run the valgrind profiler

eg, for cpuload program: g++ -std=c++11 cpuload.cpp -o cpuload (compile program cpuload) valgrind --tool=callgrind ./cpuload (run the program with callgrind; generates a file callgrind.out.12345 that can be viewed with kcachegrind) kcachegrind profile.callgrind // open profile.callgrind with kcachegrind

Note: Valgrind is also great for checking memory leaks:

valgrind --leak-check=full <path>

valgrind --tool=memcheck <path>


Points (out of 10) vs. expected performance ():

TBD