X-Git-Url: http://git.maemo.org/git/?p=opencv;a=blobdiff_plain;f=samples%2Fpython%2Fdemhist.py;fp=samples%2Fpython%2Fdemhist.py;h=0000000000000000000000000000000000000000;hp=12cc168e6ebb00762be3e841915899e6a901d182;hb=e4c14cdbdf2fe805e79cd96ded236f57e7b89060;hpb=454138ff8a20f6edb9b65a910101403d8b520643

diff --git a/samples/python/demhist.py b/samples/python/demhist.py
deleted file mode 100755
index 12cc168..0000000
--- a/samples/python/demhist.py
+++ /dev/null
@@ -1,102 +0,0 @@
-#!/usr/bin/python
-from opencv.cv import *
-from opencv.highgui import *
-import sys
-
-file_name = "../c/baboon.jpg";
-
-_brightness = 100
-_contrast = 100
-Gbrightness = 100
-Gcontrast = 100
-
-hist_size = 64
-range_0=[0,256]
-ranges = [ range_0 ]
-src_image=None
-dst_image=None
-hist_image=None
-hist=None
-lut=cvCreateMat(256,1,CV_8U)
-
-# brightness/contrast callback function
-def update_brightness( val ):
-    global Gbrightness    # global tag is required, or we get UnboundLocalError
-    Gbrightness = val
-    update_brightcont( )
-
-def update_contrast( val ):
-    global Gcontrast     # global tag is required, or we get UnboundLocalError
-    Gcontrast = val
-    update_brightcont( )
-
-def update_brightcont():
-    # no global tag required for images ???
-
-    brightness = Gbrightness - 100;
-    contrast = Gcontrast - 100;
-    max_value = 0;
-
-     # The algorithm is by Werner D. Streidt
-     # (http://visca.com/ffactory/archives/5-99/msg00021.html)
-    if( contrast > 0 ):
-        delta = 127.*contrast/100;
-        a = 255./(255. - delta*2);
-        b = a*(brightness - delta);
-    else:
-        delta = -128.*contrast/100;
-        a = (256.-delta*2)/255.;
-        b = a*brightness + delta;
-
-    for i in range(256):
-        v = cvRound(a*i + b);
-        if( v < 0 ):
-            v = 0;
-        if( v > 255 ):
-            v = 255;
-        lut[i] = v;
-    
-    cvLUT( src_image, dst_image, lut );
-    cvShowImage( "image", dst_image );
-
-    cvCalcHist( dst_image, hist, 0, None );
-    cvZero( dst_image );
-    min_value, max_value = cvGetMinMaxHistValue( hist );
-    cvScale( hist.bins, hist.bins, float(hist_image.height)/max_value, 0 );
-    #cvNormalizeHist( hist, 1000 );
-
-    cvSet( hist_image, cvScalarAll(255));
-    bin_w = cvRound(float(hist_image.width)/hist_size);
-
-    for i in range(hist_size):
-        cvRectangle( hist_image, cvPoint(i*bin_w, hist_image.height),
-                     cvPoint((i+1)*bin_w, hist_image.height - cvRound(cvGetReal1D(hist.bins,i))),
-                     cvScalarAll(0), -1, 8, 0 );
-   
-    cvShowImage( "histogram", hist_image );
-
-
-if __name__ == "__main__":
-    # Load the source image. HighGUI use.
-    if len(sys.argv)>1:
-        file_name = sys.argv[1]
-
-    src_image = cvLoadImage( file_name, 0 );
-
-    if not src_image:
-        print "Image was not loaded.";
-        sys.exit(-1)
-
-
-    dst_image = cvCloneImage(src_image);
-    hist_image = cvCreateImage(cvSize(320,200), 8, 1);
-    hist = cvCreateHist([hist_size], CV_HIST_ARRAY, ranges, 1);
-
-    cvNamedWindow("image", 0);
-    cvNamedWindow("histogram", 0);
-
-    cvCreateTrackbar("brightness", "image", _brightness, 200, update_brightness);
-    cvCreateTrackbar("contrast", "image", _contrast, 200, update_contrast);
-
-    update_brightcont();
-    cvWaitKey(0);