Update to 2.0.0 tree from current Fremantle build

[opencv] / samples / python / motempl.py

diff --git a/samples/python/motempl.py b/samples/python/motempl.py
deleted file mode 100755 (executable)
index 9ee79ee..0000000
--- a/samples/python/motempl.py
+++ /dev/null
@@ -1,113 +0,0 @@
-#!/usr/bin/python
-from opencv.cv import *
-from opencv.highgui import *
-import sys
-import time
-from math import cos,sin
-
-CLOCKS_PER_SEC = 1.0
-MHI_DURATION = 1;
-MAX_TIME_DELTA = 0.5;
-MIN_TIME_DELTA = 0.05;
-N = 4;
-buf = range(10) 
-last = 0;
-mhi = None; # MHI
-orient = None; # orientation
-mask = None; # valid orientation mask
-segmask = None; # motion segmentation map
-storage = None; # temporary storage
-
-def update_mhi( img, dst, diff_threshold ):
-    global last
-    global mhi
-    global storage
-    global mask
-    global orient
-    global segmask
-    timestamp = time.clock()/CLOCKS_PER_SEC; # get current time in seconds
-    size = cvSize(img.width,img.height); # get current frame size
-    idx1 = last;
-    if not mhi or mhi.width != size.width or mhi.height != size.height: 
-        for i in range( N ):
-            buf[i] = cvCreateImage( size, IPL_DEPTH_8U, 1 );
-            cvZero( buf[i] );
-        mhi = cvCreateImage( size, IPL_DEPTH_32F, 1 );
-        cvZero( mhi ); # clear MHI at the beginning
-        orient = cvCreateImage( size, IPL_DEPTH_32F, 1 );
-        segmask = cvCreateImage( size, IPL_DEPTH_32F, 1 );
-        mask = cvCreateImage( size, IPL_DEPTH_8U, 1 );
-
-    cvCvtColor( img, buf[last], CV_BGR2GRAY ); # convert frame to grayscale
-    idx2 = (last + 1) % N; # index of (last - (N-1))th frame
-    last = idx2;
-    silh = buf[idx2];
-    cvAbsDiff( buf[idx1], buf[idx2], silh ); # get difference between frames
-    cvThreshold( silh, silh, diff_threshold, 1, CV_THRESH_BINARY ); # and threshold it
-    cvUpdateMotionHistory( silh, mhi, timestamp, MHI_DURATION ); # update MHI
-    cvCvtScale( mhi, mask, 255./MHI_DURATION,
-                (MHI_DURATION - timestamp)*255./MHI_DURATION );
-    cvZero( dst );
-    cvMerge( mask, None, None, None, dst );
-    cvCalcMotionGradient( mhi, mask, orient, MAX_TIME_DELTA, MIN_TIME_DELTA, 3 );
-    if( not storage ):
-        storage = cvCreateMemStorage(0);
-    else:
-        cvClearMemStorage(storage);
-    seq = cvSegmentMotion( mhi, segmask, storage, timestamp, MAX_TIME_DELTA );
-    for i in range(-1, seq.total):
-        if( i < 0 ):  # case of the whole image
-            comp_rect = cvRect( 0, 0, size.width, size.height );
-            color = CV_RGB(255,255,255);
-            magnitude = 100.;
-        else:  # i-th motion component
-            comp_rect = seq[i].rect 
-            if( comp_rect.width + comp_rect.height < 100 ): # reject very small components
-                continue;
-            color = CV_RGB(255,0,0);
-            magnitude = 30.;
-        silh_roi = cvGetSubRect(silh, comp_rect);
-        mhi_roi = cvGetSubRect( mhi, comp_rect );
-        orient_roi = cvGetSubRect( orient, comp_rect );
-        mask_roi = cvGetSubRect( mask, comp_rect );
-        angle = cvCalcGlobalOrientation( orient_roi, mask_roi, mhi_roi, timestamp, MHI_DURATION);
-        angle = 360.0 - angle;  # adjust for images with top-left origin
-        count = cvNorm( silh_roi, None, CV_L1, None ); # calculate number of points within silhouette ROI
-        if( count < comp_rect.width * comp_rect.height * 0.05 ):
-            continue;
-        center = cvPoint( (comp_rect.x + comp_rect.width/2),
-                          (comp_rect.y + comp_rect.height/2) );
-        cvCircle( dst, center, cvRound(magnitude*1.2), color, 3, CV_AA, 0 );
-        cvLine( dst, center, cvPoint( cvRound( center.x + magnitude*cos(angle*CV_PI/180)),
-                cvRound( center.y - magnitude*sin(angle*CV_PI/180))), color, 3, CV_AA, 0 );
-
-if __name__ == "__main__":
-    motion = 0;
-    capture = 0;
-
-    if len(sys.argv)==1:
-        capture = cvCreateCameraCapture( 0 )
-    elif len(sys.argv)==2 and sys.argv[1].isdigit():
-        capture = cvCreateCameraCapture( int(sys.argv[1]) )
-    elif len(sys.argv)==2:
-        capture = cvCreateFileCapture( sys.argv[1] ); 
-
-    if not capture:
-        print "Could not initialize capturing..."
-        sys.exit(-1)
-        
-    cvNamedWindow( "Motion", 1 );
-    while True:
-        image = cvQueryFrame( capture );
-        if( image ):
-            if( not motion ):
-                    motion = cvCreateImage( cvSize(image.width,image.height), 8, 3 );
-                    cvZero( motion );
-                    motion.origin = image.origin;
-            update_mhi( image, motion, 30 );
-            cvShowImage( "Motion", motion );
-            if( cvWaitKey(10) != -1 ):
-                break;
-        else:
-            break
-    cvDestroyWindow( "Motion" );