+#/usr/bin/env python
+
import sys, glob
sys.path.append("../modules/python/src2/")
+#/usr/bin/env python
+
import os, sys, fnmatch, re
sys.path.append("../modules/python/src2/")
+#/usr/bin/env python
+
# -*- coding: utf-8 -*-
#
# opencvstd documentation build configuration file, created by
+#/usr/bin/env python
# -*- coding: utf-8 -*-
"""
ocv domain, a modified copy of sphinx.domains.cpp + shpinx.domains.python.
+#/usr/bin/env python
+
import sys
f=open(sys.argv[1], "rt")
+#/usr/bin/env python
+
"""gen_pattern.py
To run:
-c 10 -r 12 -o out.svg
+#/usr/bin/env python
+
# svgfig.py copyright (C) 2008 Jim Pivarski <jpivarski@gmail.com>
#
# This program is free software; you can redistribute it and/or
+#/usr/bin/env python
+
import os, sys, re
finput=open(sys.argv[1], "rt")
+#/usr/bin/env python
+
import sys
import os.path
+#/usr/bin/env python
+
import sys, re
spaces = '[\s]*'
+#/usr/bin/env python
+
import sys, os, re
classes_ignore_list = (
+#/usr/bin/env python
+
import sys, re, os.path
from string import Template
+#/usr/bin/env python
+
import os, sys, re, string, glob
from optparse import OptionParser
+#/usr/bin/env python
+
import os, sys, re, string, fnmatch
allmodules = ["core", "flann", "imgproc", "ml", "highgui", "video", "features2d", "calib3d", "objdetect", "legacy", "contrib", "gpu", "androidcamera", "java", "python", "stitching", "ts", "photo", "nonfree", "videostab", "ocl"]
verbose = False
+#/usr/bin/env python
+
from cv2.cv import *
+#/usr/bin/env python
+
import sys
from string import Template
+#/usr/bin/env python
+
import hdr_parser, sys, re, os, cStringIO
from string import Template
+#/usr/bin/env python
+
import os, sys, re, string
# the list only for debugging. The real list, used in the real OpenCV build, is specified in CMakeLists.txt
-# Calculating and displaying 2D Hue-Saturation histogram of a color image
+#/usr/bin/env python
+# Calculating and displaying 2D Hue-Saturation histogram of a color image
import sys
import cv2.cv as cv
+#/usr/bin/env python
+
import sys
import math
import time
+#/usr/bin/env python
+
import sys
import cv2.cv as cv
+#/usr/bin/env python
+
import cv2.cv as cv
import unittest
+#/usr/bin/env python
+
import cv2.cv as cv
import numpy as np
cv.NamedWindow('Leak')
+#/usr/bin/env python
+
import cv2.cv as cv
import numpy as np
import time
+#/usr/bin/env python
+
import cv2.cv as cv
import math
import time
+#/usr/bin/env python
+
import cv2.cv as cv
import math
import time
+#/usr/bin/env python
+
import cv2.cv as cv
def precornerdetect(image):
+#/usr/bin/env python
+
import unittest
import random
import time
+#/usr/bin/env python
+
import urllib
import cv2.cv as cv
import Image
+#/usr/bin/env python
+
import unittest
import random
import time
+#/usr/bin/env python
+
# -*- coding: utf-8 -*-
# transformations.py
+#!/usr/bin/env python
+
import testlog_parser, sys, os, xml, re
from table_formatter import *
from optparse import OptionParser
+#!/usr/bin/env python
+
import math, os, sys
webcolors = {
+#!/usr/bin/env python
+
from optparse import OptionParser
import glob, sys, os, re
+#!/usr/bin/env python
+
import testlog_parser, sys, os, xml, re, glob
from table_formatter import *
from optparse import OptionParser
+#!/usr/bin/env python
+
import sys, os, platform, xml, re, tempfile, glob, datetime, getpass, shutil
from optparse import OptionParser
from subprocess import Popen, PIPE
+#!/usr/bin/env python
+
import testlog_parser, sys, os, xml, glob, re
from table_formatter import *
from optparse import OptionParser
+#!/usr/bin/env python
+
import sys, re, os.path, cgi, stat
from optparse import OptionParser
from color import getColorizer
+#/usr/bin/env python
+
import sys, re, os.path
from xml.dom.minidom import parse
+#!/usr/bin/python
+
import cv2.cv as cv
import time
+#!/usr/bin/python
+
"""
Find Squares in image by finding countours and filtering
"""
+#!/usr/bin/python
+
import cv2.cv as cv
import urllib2
from sys import argv
+#!/usr/bin/python
+
import cv2.cv as cv
import time
from pydmtx import DataMatrix
+#!/usr/bin/python
+
import sys
from cv import *
+#/usr/bin/env python
+
'''
Utility for measuring python opencv API coverage by samples.
'''
+#/usr/bin/env python
+
'''
Scans current directory for *.py files and reports
ones with missing __doc__ string.
+#/usr/bin/env python
+
'''
Affine invariant feature-based image matching sample.
+#/usr/bin/env python
+
'''
browse.py
=========
+#/usr/bin/env python
+
import numpy as np
import cv2
import os
+#/usr/bin/env python
+
'''
Camshift tracker
================
+#/usr/bin/env python
+
'''
Coherence-enhancing filtering example
=====================================
+#/usr/bin/env python
+
import numpy as np
import cv2
from time import clock
+#/usr/bin/env python
+
'''
This module contais some common routines used by other samples.
'''
+#/usr/bin/env python
+
'''
This program illustrates the use of findContours and drawContours.
The original image is put up along with the image of drawn contours.
+#/usr/bin/env python
+
'''
Wiener deconvolution.
+#/usr/bin/env python
+
'''
Sample-launcher application.
'''
+#/usr/bin/env python
+
'''
SVM and KNearest digit recognition.
+#/usr/bin/env python
+
'''
Digit recognition adjustment.
Grid search is used to find the best parameters for SVM and KNearest classifiers.
+#/usr/bin/env python
+
import numpy as np
import cv2
import os
+#/usr/bin/env python
+
'''
Distance transform sample.
+#/usr/bin/env python
+
'''
This sample demonstrates Canny edge detection.
+#/usr/bin/env python
+
import numpy as np
import cv2
import cv2.cv as cv
+#/usr/bin/env python
+
'''
Feature homography
==================
+#/usr/bin/env python
+
'''
Feature-based image matching sample.
+#/usr/bin/env python
+
'''
Robust line fitting.
==================
+#/usr/bin/env python
+
'''
Floodfill sample.
+#/usr/bin/env python
+
'''
gabor_threads.py
=========
+#/usr/bin/env python
+
import numpy as np
from numpy import random
import cv2
+#/usr/bin/env python
+
''' This is a sample for histogram plotting for RGB images and grayscale images for better understanding of colour distribution
Benefit : Learn how to draw histogram of images
+#/usr/bin/env python
+
'''
Inpainting sample.
+#/usr/bin/env python
+
'''
K-means clusterization sample.
Usage:
+#/usr/bin/env python
+
''' An example of Laplacian Pyramid construction and merging.
Level : Intermediate
+#/usr/bin/env python
+
'''
The sample demonstrates how to train Random Trees classifier
(or Boosting classifier, or MLP, or Knearest, or Support Vector Machines) using the provided dataset.
+#/usr/bin/env python
+
'''
Lucas-Kanade homography tracker
===============================
+#/usr/bin/env python
+
'''
Lucas-Kanade tracker
====================
+#/usr/bin/env python
+
'''
Morphology operations.
+#/usr/bin/env python
+
'''
MOSSE tracking sample
+#/usr/bin/env python
+
import numpy as np
import cv2
import video
+#/usr/bin/env python
+
#!/usr/bin/env python
'''
mouse_and_match.py [-i path | --input path: default ./]
+#/usr/bin/env python
+
'''
MSER detector demo
==================
+#/usr/bin/env python
+
import numpy as np
import cv2
import video
+#/usr/bin/env python
+
import numpy as np
import cv2
+#/usr/bin/env python
+
'''
Planar augmented reality
==================
+#/usr/bin/env python
+
'''
Multitarget planar tracking
==================
+#/usr/bin/env python
+
'''
Simple "Square Detector" program.
+#/usr/bin/env python
+
'''
Simple example of stereo image matching and point cloud generation.
+#/usr/bin/env python
+
'''
Texture flow direction estimation.
+#/usr/bin/env python
+
'''
Multiscale Turing Patterns generator
====================================
+#/usr/bin/env python
+
'''
Video capture sample.
+#/usr/bin/env python
+
'''
Data matrix detector sample.
Usage:
+#/usr/bin/env python
+
'''
Multithreaded video processing sample.
Usage:
+#/usr/bin/env python
+
'''
Watershed segmentation
=========
projects / platform / upstream / opencv.git / commitdiff