def show_image(window_name, img, wait=False):
hg.cvStartWindowThread()
RESIZABLE = 0
hg.cvNamedWindow(window_name, RESIZABLE)
hg.cvShowImage(window_name, img)
if wait:
print 'show_image: press any key to continue..'
cv.highgui.cvWaitKey()
minRadius (Int32)
Minimal radius of the circles to search for
maxRadius (Int32)
Maximal radius of the circles to search for. By default the maximal radius is set to max(image_width, image_height).
"""
import sys, os
from opencv import cv
from opencv import highgui
print "to use: python houghcircles.py imagefile.jpg minRadius maxRadius"
# first, create the necessary window
highgui.cvStartWindowThread()
highgui.cvNamedWindow('GrayScale', highgui.CV_WINDOW_AUTOSIZE)
highgui.cvNamedWindow('Canny', highgui.CV_WINDOW_AUTOSIZE)
highgui.cvNamedWindow('Image Display Window', highgui.CV_WINDOW_AUTOSIZE)
# move the new window to a better place
highgui.cvMoveWindow ('GrayScale', 100, 10)
highgui.cvMoveWindow ('Canny', 200, 10)
highgui.cvMoveWindow ('Image Display Window', 10, 10)
#load image
image = highgui.cvLoadImage(sys.argv[1]);
#create image arrays
It also is meant to remove the 'floor' as a possible candidate for table surface fits.
'''
pc.truncate_pointcloud_to_voi(np.array([0.55,-0.4,1.0]), 1, 1, 1.3)
print 'finished truncate_pointcloud in top level function'
#map polygons after translating
''' Visual to quickly check TF
'''
if True:
print 'overlay_img soon to be obtained'
overlay_img = pc.draw_mapped_laser_into_image(pc.map, pc.pts3d, pc.img)
print 'overlay_img obtained'
import opencv.highgui as hg
hg.cvStartWindowThread()
hg.cvNamedWindow('ww',0)
hg.cvShowImage('ww',overlay_img)
print 'wait for key - line 264'
cv.highgui.cvWaitKey()
print 'finsihed showing mapped_laser image'
if True:
print 'do polygon mapping'
pc.do_polygon_mapping() #-
###pc.display_3d('labels')### This is based on accurate polygons.
print 'map laser into image again'
pc.img_mapped = pc.draw_mapped_laser_into_image(pc.map, pc.pts3d, pc.img) #-
#Below: create B & W images corresponding to the artifical 'table edge and center' values we specified.
#Below: REMOVED DIAGNOSTIC IMAGES. cvPolyLine and cvFillPoly were acting up in opencv 2.0
