Learning opencv 源代码

# EXAMPLES OF HOW TO RUN THE PROGRAMS ASSUMING YOU ARE IN THEIR DIRECTORY # On Linux, make the files using "make" (which will invoke Makefile in the directory) # If you just copy programs from the pdf of the book, watch out that the # quote characters aren't special characters. # # I put a calibration pattern, OpenCV_Chessboard.png in this directory # print it out and tape it to any rigid object like a book or binder. It's # for use with the camera calibration programs in Chapter 11. # #------------------------------------------------------------------------# #CHAPTER 2 PROGRAMS: ./ch2_ex2_1 stuff.jpg ./ch2_ex2_2 test.avi ./ch2_ex2_3 test.avi ./ch2_ex2_4 stuff.jpg ./ch2_ex2_5 stuff.jpg ./ch2_ex2_6 stuff.jpg ./ch2_ex2_7 stuff.jpg ./ch2_ex2_8 stuff.jpg # With video camera: ./ch2_ex2_9 # Using movie file: ./ch2_ex2_9 test.avi # Writing won't work if you are using gstreamer. Use ffmpeg but might have to have developer libs from ffmpeg ./ch2_ex2_10 test.avi log_polar_out.avi #------------------------------------------------------------------------# #CHAPTER 3 PROGRAMS: ch3_ex3_1.txt [not a program] ch3_ex3_2.txt [not a program] ./ch3_ex3_3 ./ch3_ex3_4 ./ch3_ex3_5 ch3_ex3_6.txt [not a program] ch3_ex3_7.txt [not a program] ch3_ex3_8.txt [not a program] ./ch3_ex3_9 ch3_ex3_10.txt [not a program] ./ch3_ex3_11 stuff.jpg ./ch3_ex3_12 stuff.jpg 50 100 300 200 100 ./ch3_ex3_13 stuff.jpg 50 100 300 200 100 ./ch3_ex3_14 stuff.jpg adrian.jpg 50 100 300 200 0.5 0.5 ./ch3_ex3_15 ch3_ex3_16.txt [not a program] ./ch3_ex3_17 ch3_ex3_18.xml [not a program] ./ch3_ex3_19 ./ch3_ex3_20 #------------------------------------------------------------------------# #CHAPTER 4 PROGRAMS ./ch4_ex4_1 ./ch4_ex4_2 test.avi ./ch4_ex4_3 test.avi #------------------------------------------------------------------------# #CHAPTER 5 PROGRAMS ./ch5_ex5_1 stuff.jpg ./ch5_ex5_2 adrian.jpg ./ch5_ex5_3 adrian.jpg ./ch5_ex5_4 15 1 1 71 15 adrian.jpg #------------------------------------------------------------------------# #CHAPTER 6 ./ch6_ex6_1 stuff.jpg ./ch6_ex6_2 stuff.jpg ./ch6_ex6_3 adrian.jpg ./ch6_ex6_4 stuff.jpg 100 ./ch6_ex6_5 #------------------------------------------------------------------------# #CHAPTER 7 ./ch7_ex7_1 adrian.jpg ch7_ex7_2.txt [not a program] ./ch7_ex7_3_expanded HandIndoorColor.jpg HandOutdoorSunColor.jpg HandOutdoorColor.jpg adrian.jpg ch7_ex7_4.txt [not a program] ./ch7_ex7_5_HistBackProj BlueCup.jpg adrian.jpg 0 ./ch7_ex7_5 faceTemplate.jpg faceScene.jpg #------------------------------------------------------------------------# #CHAPTER 8 ch8_ex8_1.txt [not a program] ./ch8_ex8_2 adrian.jpg ./ch8_ex8_3 faceTemplate.jpg #------------------------------------------------------------------------# #CHAPTER 9 ./ch9_ex9_1 test.avi # The background demo shows 2 background modeling methods: Averaging and YUV Codebook # I've set the parameters to work well with tree.avi == we learn the model for 50 frames # The parameters following tree.avi below are optional, but pretty good for that sequence # You can adjust them on the fly. Best to pause "p", adjust, single step a bit with "s" # and then resume running with "r" or "p". To adjust, the video window and NOT the consul # window must be active. I put a built in pause in the short tree.avi sequence so you # can experiment with parmeters as you single step "s", adjust" and step "s" along. -- Gary ./ch9_background 1 50 tree.avi 9 2 35 16 2 15 11 16 # Copy of watershed.cpp in samples/c directory is also here ./ch9_watershed fruits.jpg #This one isn't a stand alone program, it is a function that does frame differencing as in the book ch9_backgroundDiff.cpp [not built as a program] #This is a potentially add on function to ch9_backgroundAVG.cpp -- it clears stale codebook entries ch9_ClearStaleCB_Entries.cpp [not built as a program] #------------------------------------------------------------------------# #CHAPTER 10 ./ch10_ex10_1 # Decided to do the same example, except using the Horn-Schunck algorithm ./ch10_ex10_1b_Horn_Schunck # For fun, here's motion template code copied from samples/c. Uses a video camera. Point the camera # away from you. Start the program, wait a few seconds until it goes black. Then move in front # of the camera. ./ch10_motempl ./ch10_ex10_2 #------------------------------------------------------------------------# #CHAPTER 11 # Calibration using video camera # Parameters are chessboard_width height num_to_collect wait_frames # The num_to_collect is how many valid chessboard captures we should use to calibrate # The wait_frames is how many frames to skip before attempting to find a chessboard (this allows you to move it around). # NOTE: The "9 6" work with OpenCV_Chessboard.png which you can print out and use for this. ./ch11_ex11_1 9 6 10 60 # We can also calibrate from a list of images on disk. You will need to run this in order for the birdseye demo to work. ./ch11_ex11_1_fromdisk 12 12 ch11_chessboards.txt #------------------------------------------------------------------------# #CHAPTER 12 ./ch12_ex12_1 12 12 Intrinsics.xml Distortion.xml ch12_birdseye.jpg # Just a belabored example of computing the fundamental matrix # NOTE: The "9 6" work with OpenCV_Chessboard.png which you can print out and use for this. ./ch12_ex12_2 9 6 8 40 # Stereo calibration, rectification and depth ./ch12_ex12_3 ./ch12_ex12_4 #------------------------------------------------------------------------# #CHAPTER 13 ./ch13_ex13_1 ./ch13_ex13_2 ./ch13_ex13_3 ./ch13_ex13_4 #------------------------------------------------------------------------# #CHAPTER 14 # You fill in these