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"atomic bomb" commit. Reorganized OpenCV directory structure

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Vadim Pisarevsky
2010-05-11 17:44:00 +00:00
commit 127d6649a1
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interfaces/swig/python/matlab_syntax.py Normal file
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#########################################################################################
#
# IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
#
# By downloading, copying, installing or using the software you agree to this license.
# If you do not agree to this license, do not download, install,
# copy or use the software.
#
#
# Intel License Agreement
# For Open Source Computer Vision Library
#
# Copyright (C) 2000, Intel Corporation, all rights reserved.
# Third party copyrights are property of their respective owners.
#
# Redistribution and use in source and binary forms, with or without modification,
# are permitted provided that the following conditions are met:
#
# * Redistribution's of source code must retain the above copyright notice,
# this list of conditions and the following disclaimer.
#
# * Redistribution's in binary form must reproduce the above copyright notice,
# this list of conditions and the following disclaimer in the documentation
# and/or other materials provided with the distribution.
#
# * The name of Intel Corporation may not be used to endorse or promote products
# derived from this software without specific prior written permission.
#
# This software is provided by the copyright holders and contributors "as is" and
# any express or implied warranties, including, but not limited to, the implied
# warranties of merchantability and fitness for a particular purpose are disclaimed.
# In no event shall the Intel Corporation or contributors be liable for any direct,
# indirect, incidental, special, exemplary, or consequential damages
# (including, but not limited to, procurement of substitute goods or services;
# loss of use, data, or profits; or business interruption) however caused
# and on any theory of liability, whether in contract, strict liability,
# or tort (including negligence or otherwise) arising in any way out of
# the use of this software, even if advised of the possibility of such damage.
#
#########################################################################################
"""Matlab syntax for OpenCV
For those who have switched from Matlab, this module offers similar syntax to the basic
Matlab commands. I.e. you can invoke 'imread' to load images, 'imshow', etc.
"""
from cv import *
from highgui import cvShowImage,cvNamedWindow,cvLoadImage,cvWaitKey
#__all__ = ['imagesc', 'display', 'imread', 'imshow', 'saveimage', 'loadimage', 'pause',
# 'Image', 'Image8', 'Image8c3', 'Image32s', 'Image32f', 'Image64f']
def eye(*args):
mat = array(*args)
cvSetIdentity(mat);
return mat
def ones(*args):
mat = array(*args)
cvSet(mat, cvScalarAll(1.0))
return mat
def zeros(*args):
mat = array(*args)
cvSet(mat, cvScalarAll(0.0))
return mat
def array(*args):
m=1
n=1
c=1
classname='single'
nargs = len(args)
# nasty argument parsing
if nargs>0:
if isinstance(args[0],tuple) or isinstance(args[0],list) and len(args[0]) > 1:
m=args[0][0]
n=args[0][1]
if len(args[0])>2:
c=args[0][2]
if len(args)>1:
classname = args[1]
else:
m=args[0]
if nargs == 1:
n=args[0]
elif nargs > 1:
# is the last argument the classname?
if args[nargs-1].__class__ == str:
classname = args[nargs-1]
nargs-=1
if nargs > 1:
n = args[1]
if nargs > 2:
c = args[2]
if(classname=='double'):
depth=cv.CV_64F
elif(classname=='single'):
depth=cv.CV_32F
elif(classname=='int8'):
depth=cv.CV_8S
elif(classname=='uint8'):
depth=cv.CV_8U
elif(classname=='int16'):
depth=cv.CV_16S
elif(classname=='uint16'):
depth=cv.CV_16U
elif(classname=='int32' or classname=='uint32' or
classname=='int64' or classname=='uint64'):
depth=cv.CV_32S
else:
depth=cv.CV_32F
depth = CV_MAKETYPE(depth, c)
return cvCreateMat(m,n,depth)
def size(X,dim=-1):
# CvMat
if hasattr(X, "type"):
sz = (X.rows, X.cols, CV_MAT_CN(X.type))
# IplImage
elif hasattr(X, "nChannels"):
sz = (X.height, X.width, X.nChannels)
# CvMatNd
else:
sz = cvGetDims(X)
if dim is -1:
return sz
return sz[dim]
def reshape(X, m, n=1, c=-1):
'''
reshape will produce different results in matlab and python due to the
order of elements stored in the array (row-major vs. column major)
'''
if c==-1:
c = CV_MAT_CN(X)
return cvReshape(X, c, m)
def im2float(im):
mat = cvGetMat(im);
if CV_MAT_DEPTH(mat.type)==CV_32F:
return mat
im64f = array(size(im), 'float')
cvConvertScale(im, im64f, 1.0, 0.0)
return im64f
def im2double(im):
mat = cvGetMat(im);
if CV_MAT_DEPTH(mat.type)==CV_64F:
return mat
im64f = array(size(im), 'double')
cvConvertScale(im, im64f, 1.0, 0.0)
return im64f
def rgb2ntsc (rgb):
trans = [ [0.299, 0.596, 0.211], [0.587, -0.274, -0.523], [0.114, -0.322, 0.312] ];
return rgb * trans;
def rgb2gray(rgb):
ntscmap = rgb2ntsc (rgb);
graymap = ntscmap [:, 1] * ones (1, 3);
return graymap
class cvImageViewer:
"""
Wrapper class for some matlab/octave/scilab syntax image viewing functions
"""
currentWindowName = ""
currentWindow = -1
maxWindow = -1
def imagesc(self,im, clims=None):
"""
Display a normalized version of the image
"""
if(self.currentWindow==-1):
self.display()
# don't normalize multichannel image
#if(im.nChannels>1):
# if(im.depth!=cv.IPL_DEPTH_8U):
# im2 = cvCreateImage( cvSize(im.width, im.height), cv.IPL_DEPTH_8U, im.nChannels)
# cvScale(im, im2)
# im = im2
# cvShowImage(self.currentWindowName, im)
# return self.currentWindow
# normalize image
if clims:
[minv, maxv] = clims
else:
[minv,maxv] = cvMinMaxLoc(im)
if maxv != minv:
s = 255.0/(maxv-minv)
shift = 255*(-minv)/(maxv-minv)
else:
s = 1.0
shift = -maxv
im2 = array( size(im), 'uint8' )
cvConvertScale(im, im2, s, shift)
cvShowImage(self.currentWindowName, im2)
def image(self, im):
"""
Display image as is -- probably not what you'd expect for FP or integer images
"""
if(self.currentWindow==-1):
self.display()
cvShowImage(self.currentWindowName,im)
return self.currentWindow
def display(self, index=-1):
"""
open a new window
"""
if(index==-1):
self.maxWindow = self.maxWindow+1;
index= self.maxWindow;
if(index > self.maxWindow):
self.maxWindow = index;
self.currentWindow = index;
self.currentWindowName = "opencv-python window %d" % self.currentWindow
cvNamedWindow(self.currentWindowName,0)
return self.currentWindow
def drawnow():
cvWaitKey(10)
def pause(delay=-1):
if delay<0:
cvWaitKey(-1)
else:
cvWaitKey(delay*1000)
c = cvImageViewer()
imagesc = c.imagesc
display = c.display
image = c.image
imshow = c.image
def imread(fname):
return cvLoadImage(fname, -1)
loadimage = imread
imload = imread
def imsave(im, fname, format):
return cvSaveImage(fname, im)
saveimage = imsave
def gradient(F):
F = im2float(F)
Fx = array(size(F))
Fy = array(size(F))
# new images
cvSobel(F, Fx, 1, 0, CV_SCHARR)
cvSobel(F, Fy, 0, 1, CV_SCHARR)
return (Fx, Fy)