def circ(n): pt = cv.cvPoint(int(round(n[0,0])),int(round(n[1,0]))) cv.cvCircle(self.disp.buffer, pt, size, color_scalar, cv.CV_FILLED, cv.CV_AA) pt2 = cv.cvPoint(pt.x + 2, pt.y + 2) cv.cvPutText(self.disp.buffer, text, pt, self.disp.font, cv.cvScalar(255,255,255)) cv.cvPutText(self.disp.buffer, text, pt2, self.disp.font, cv.cvScalar(50,50,50))
def circ(n):
pt = cv.cvPoint(int(round(n[0, 0])), int(round(n[1, 0])))
cv.cvCircle(self.disp.buffer, pt, size, color_scalar,
cv.CV_FILLED, cv.CV_AA)
pt2 = cv.cvPoint(pt.x + 2, pt.y + 2)
cv.cvPutText(self.disp.buffer, text, pt, self.disp.font,
cv.cvScalar(255, 255, 255))
cv.cvPutText(self.disp.buffer, text, pt2, self.disp.font,
cv.cvScalar(50, 50, 50))
def DrawKeyPoints(self):
ic = 0
myfont = cv.cvInitFont(cv.CV_FONT_HERSHEY_SIMPLEX, 0.5, 0.5)
for ic, c in enumerate(self.mss.seqs):
for k in c.points:
if self.bDrawNumber:
cv.cvPutText(
self.drawimg, str(ic), cv.cvPoint(int(k.x), int(k.y)), myfont, cv.cvScalar(255, 255, 0, 0)
)
cv.cvDrawCircle(self.drawimg, cv.cvPoint(int(k.x), int(k.y)), 4, cv.cvScalar(255, 0, 255, 0))
def DrawKeyPoints(self):
if (not self.drawimg):
self.drawimg = cv.cvCloneImage(self.img)
myfont = cv.cvInitFont(cv.CV_FONT_HERSHEY_SIMPLEX, 0.5, 0.5)
ic = 0
for c in self.points:
cv.cvPutText(self.drawimg, str(ic), cv.cvPoint(int(c.x), int(c.y)), myfont, cv.cvScalar(255, 255, 0,0))
ic += 1
cv.cvDrawCircle(self.drawimg, c, 4, cv.cvScalar(255,255,0,0))
def DrawKeyPoints(self):
if (not self.drawimg):
self.drawimg = cv.cvCloneImage(self.img)
myfont = cv.cvInitFont(cv.CV_FONT_HERSHEY_SIMPLEX, 0.5, 0.5)
ic = 0
for c in self.points:
cv.cvPutText(self.drawimg, str(ic), cv.cvPoint(int(c.x), int(c.y)),
myfont, cv.cvScalar(255, 255, 0, 0))
ic += 1
cv.cvDrawCircle(self.drawimg, c, 4, cv.cvScalar(255, 255, 0, 0))
def main(): # ctrl+c to end
global h,s,v,h2,v2,s2,d,e
highgui.cvNamedWindow("Camera 1", 1)
highgui.cvNamedWindow("Orig", 1)
highgui.cvCreateTrackbar("H", "Camera 1", h, 256, tb_h)
highgui.cvCreateTrackbar("S", "Camera 1", s, 256, tb_s)
highgui.cvCreateTrackbar("V", "Camera 1", v, 256, tb_v)
highgui.cvCreateTrackbar("H2", "Camera 1", h2, 256, tb_h2)
highgui.cvCreateTrackbar("S2", "Camera 1", s2, 256, tb_s2)
highgui.cvCreateTrackbar("V2", "Camera 1", v2, 256, tb_v2)
highgui.cvCreateTrackbar("Dilate", "Camera 1", d, 30, tb_d)
highgui.cvCreateTrackbar("Erode", "Camera 1", e, 30, tb_e)
cap = highgui.cvCreateCameraCapture(1)
highgui.cvSetCaptureProperty(cap, highgui.CV_CAP_PROP_FRAME_WIDTH, IMGW)
highgui.cvSetCaptureProperty(cap, highgui.CV_CAP_PROP_FRAME_HEIGHT, IMGH)
c = 0
t1 = tdraw = time.clock()
t = 1
font = cv.cvInitFont(cv.CV_FONT_HERSHEY_PLAIN, 1, 1)
while c != 0x27:
image = highgui.cvQueryFrame(cap)
if not image:
print "capture failed"
break
thresh = cv.cvCreateImage(cv.cvSize(IMGW,IMGH),8,1)
cv.cvSetZero(thresh)
cv.cvCvtColor(image,image,cv.CV_RGB2HSV)
cv.cvInRangeS(image, (h,s,v,0), (h2,s2,v2,0), thresh)
result = cv.cvCreateImage(cv.cvSize(IMGW,IMGH),8,3)
cv.cvSetZero(result)
cv.cvOr(image,image,result,thresh)
for i in range(1,e):
cv.cvErode(result,result)
for i in range(1,d):
cv.cvDilate(result,result)
# floodfill objects back in, allowing threshold differences outwards
t2 = time.clock()
if t2 > tdraw+0.3:
t = t2-t1
tdraw=t2
cv.cvPutText(result, "FPS: " + str(1 / (t)), (0,25), font, (255,255,255))
t1 = t2
highgui.cvShowImage("Orig", image)
highgui.cvShowImage("Camera 1", result)
c = highgui.cvWaitKey(10)
def getBackground(frameWidht, frameHeight):
cvNamedWindow("Background")
text = cvCreateImage(cvSize(frameWidth, frameHeight), IPL_DEPTH_8U, 3)
frame = cvCreateImage(cvSize(frameWidth, frameHeight), IPL_DEPTH_8U, 3)
background = cvCreateImage(cvSize(frameWidth, frameHeight), IPL_DEPTH_8U, 3)
font = cvInitFont(CV_FONT_HERSHEY_COMPLEX, 1.0, 1.0, 0.0, 2)
pt1 = cvPoint(50, 100)
pt2 = cvPoint(50, 150)
center = cvPoint(frameWidth/2, frameHeight/2)
cvPutText(text, "Press enter, run away and wait", pt1, font, CV_RGB(150, 100, 150))
cvPutText(text, str(delayS) + " seconds to capture background", pt2, font, CV_RGB(150, 100, 150))
cvShowImage("Background", text)
key = -1
while key == -1:
key = cvWaitKey(10)
like = False
while not like:
for i in range(delayS):
cvZero(text)
cvPutText(text, str(delayS-i), center, font, CV_RGB(150, 100, 150))
cvShowImage("Background", text)
cvWaitKey(1000)
csut = camStartUpTime
while (csut): # Stats capturing frames in order to give time to the cam to auto-adjust colors
if not cvGrabFrame(CAM):
print "Could not grab a frame"
exit
cvWaitKey(10)
csut -= 1
frame = cvQueryFrame(CAM)
cvCopy(frame, background)
cvCopy(frame, text)
cvPutText(text, "Is correct? [y/n]", center, font, CV_RGB(150, 100, 150))
cvShowImage("Background", text)
key = -1
while key != 'n' and key != 'y':
key = cvWaitKey(10)
if key == 'y':
like = True
return background
cvDestroyWindow("Background")
def main():
ct1 = CurvePoint()
ct2 = CurvePoint()
sc = CntSC()
ang = CntAngle()
usage = "%prog [options] <imgfile1> <imgfile2>"
version = "%prog 0.2\nLongbin Chen, [email protected]"
oparser = optparse.OptionParser(usage=usage, version=version)
oparser.add_option('-d', '--display', action="store_true", dest = 'display', default = False, help = 'display the image')
oparser.add_option('-n', '--number', dest = 'num', type="int", default = 200 , help = 'the number of feature points')
oparser.add_option('-s', '--save', dest = 'save', default = None, help = 'save the img file')
oparser.add_option('-o', '--output', dest = 'output', default = None, help = 'output file')
(options, args) = oparser.parse_args(sys.argv)
if len(args) != 3:
oparser.parse_args([sys.argv[0], "--help"])
sys.exit(1)
ct1.GetContour(args[1], options.num)
allkeys = []
for c in ct1.allselected:
allkeys = allkeys + c
sc.ExtractFeature(allkeys)
ang.ExtractFeature(allkeys,0);
allkeys = []
ct2.GetContour(args[2], options.num)
for c in ct2.allselected:
allkeys = allkeys + c
sc.ExtractFeature(allkeys)
ang.ExtractFeature(allkeys,0);
sumscore = []
matcher = SmithWaterman()
ct1.bDrawNumber = 0
ct2.bDrawNumber = 0
if (options.display):
ct1.DrawKeyPoints()
ct2.DrawKeyPoints()
myfont = cv.cvInitFont(cv.CV_FONT_HERSHEY_SIMPLEX, 0.5, 0.5)
idx = -1
putoriginal(args[1], ct1.drawimg)
putoriginal(args[2], ct2.drawimg)
cv.cvNot(ct1.drawimg, ct1.drawimg)
cv.cvNot(ct2.drawimg, ct2.drawimg)
for c1 in ct1.allselected:
idx += 1
cscore = -100000000
cpt1 = getdata(c1)
bX = []
bY = []
bestcurve = None
for c2 in ct2.allselected:
cpt2 = getdata(c2)
cost,align,X,Y = matcher.Align(cpt1, cpt2)
normalized_score = cost - log10(len(c2) + 1) * 1000
print len(c1), len(c2),cost, normalized_score, cscore
if (normalized_score > cscore):
cscore = normalized_score
bX = X[:]
bY = Y[:]
bestcurve = c2
if (options.display):
ptcount = 0
for i in range(len(bX)):
xi = bX[i]
yi = bY[i]
#if (xi == -1):
#cv.cvDrawCircle(ct2.drawimg, cv.cvPoint(int(bestcurve[yi].x), int(bestcurve[yi].y)),4, cv.cvScalar(255,0,0,0))
#cv.cvPutText(ct2.drawimg, 'O', cv.cvPoint(int(c2[yi].x), int(c2[yi].y)), myfont, cv.cvScalar(255, 0, 0,0))
#if (yi == -1):
#cv.cvDrawCircle(ct1.drawimg, cv.cvPoint(int(c1[xi].x), int(c1[xi].y)),4, cv.cvScalar(255,0,0,0))
#cv.cvPutText(ct1.drawimg, 'O', cv.cvPoint(int(c1[xi].x), int(c1[xi].y)), myfont, cv.cvScalar(255, 0, 0,0))
if (xi != -1 and yi != -1):
ptcount += 1
cv.cvDrawCircle(ct1.drawimg, cv.cvPoint(int(c1[xi].x), int(c1[xi].y)),2, clrs[idx])
cv.cvPutText(ct1.drawimg, str(ptcount), cv.cvPoint(int(c1[xi].x), int(c1[xi].y)), myfont, clrs[idx])
cv.cvDrawCircle(ct2.drawimg, cv.cvPoint(int(bestcurve[yi].x), int(bestcurve[yi].y)),2, clrs[idx])
cv.cvPutText(ct2.drawimg, str(ptcount), cv.cvPoint(int(bestcurve[yi].x), int(bestcurve[yi].y)), myfont, clrs[idx])
sumscore.append(cscore)
print sumscore
if (options.display):
highgui.cvNamedWindow ("contour1", 1)
highgui.cvNamedWindow ("contour2", 1)
highgui.cvShowImage ("contour1", ct1.drawimg)
highgui.cvShowImage ("contour2", ct2.drawimg)
highgui.cvWaitKey (0)
if (options.save):
mergeimg = mergeimage_83(ct1.drawimg, ct2.drawimg)
highgui.cvSaveImage("_sw_result.bmp", mergeimg)
def main():
ct1 = CurvePoint()
ct2 = CurvePoint()
agl = CntAngle()
sc = CntSC()
try:
opts, args = getopt.getopt(sys.argv[1:], "ho:dn:es", ["help", "output=", "draw", "num=", "even", "save"])
except getopt.GetoptError:
usage()
sys.exit(2)
output = None
bDraw = 0
bSave = 0
bOriginal = 0
npoint = 100
for o, a in opts:
if o == "-v":
ct1.verbose = 1
ct2.verbose = 1
if o in ("-h", "--help"):
usage()
sys.exit()
if o in ("-o", "--output"):
output = a
if o in ("-d", "--draw"):
bDraw = 1
if o in ("-s", "--save"):
bSave = 1
if o in ("-r", "--original"):
bOriginal = 1
if o in ("-n", "--num"):
npoint = string.atoi(a)
if o in ("-e", "--even"):
ct1.bEven = 1
ct2.bEven = 1
if (len(args)) != 2:
usage()
sys.exit(2)
ct1.GetContour(args[0], npoint)
allkeys = []
for c in ct1.allselected:
# agl.ExtractFeature(c, ct1.drawimg)
allkeys = allkeys + c
sc.ExtractFeature(allkeys)
allkeys = []
ct2.GetContour(args[1], npoint)
for c in ct2.allselected:
# agl.ExtractFeature(c, ct2.drawimg)
allkeys = allkeys + c
sc.ExtractFeature(allkeys)
sumscore = []
matcher = SmithWaterman()
ct1.bDrawNumber = 0
ct2.bDrawNumber = 0
if bDraw:
ct1.DrawKeyPoints()
ct2.DrawKeyPoints()
myfont = cv.cvInitFont(cv.CV_FONT_HERSHEY_SIMPLEX, 0.5, 0.5)
idx = -1
putoriginal(args[0], ct1.drawimg)
putoriginal(args[1], ct2.drawimg)
cv.cvNot(ct1.drawimg, ct1.drawimg)
cv.cvNot(ct2.drawimg, ct2.drawimg)
for c1 in ct1.allselected:
idx += 1
cscore = -100000000
cpt1 = getdata(c1)
bX = []
bY = []
bestcurve = None
for c2 in ct2.allselected:
cpt2 = getdata(c2)
cost, align, X, Y = matcher.Align(cpt1, cpt2)
normalized_score = cost - log10(len(c2) + 1) * 1000
print len(c1), len(c2), cost, normalized_score, cscore
if normalized_score > cscore:
cscore = normalized_score
bX = X[:]
bY = Y[:]
bestcurve = c2
if bDraw:
ptcount = 0
for i in range(len(bX)):
xi = bX[i]
yi = bY[i]
# if (xi == -1):
# cv.cvDrawCircle(ct2.drawimg, cv.cvPoint(int(bestcurve[yi].x), int(bestcurve[yi].y)),4, cv.cvScalar(255,0,0,0))
# cv.cvPutText(ct2.drawimg, 'O', cv.cvPoint(int(c2[yi].x), int(c2[yi].y)), myfont, cv.cvScalar(255, 0, 0,0))
# if (yi == -1):
# cv.cvDrawCircle(ct1.drawimg, cv.cvPoint(int(c1[xi].x), int(c1[xi].y)),4, cv.cvScalar(255,0,0,0))
# cv.cvPutText(ct1.drawimg, 'O', cv.cvPoint(int(c1[xi].x), int(c1[xi].y)), myfont, cv.cvScalar(255, 0, 0,0))
if xi != -1 and yi != -1:
ptcount += 1
cv.cvDrawCircle(ct1.drawimg, cv.cvPoint(int(c1[xi].x), int(c1[xi].y)), 2, clrs[idx])
cv.cvPutText(ct1.drawimg, str(ptcount), cv.cvPoint(int(c1[xi].x), int(c1[xi].y)), myfont, clrs[idx])
cv.cvDrawCircle(ct2.drawimg, cv.cvPoint(int(bestcurve[yi].x), int(bestcurve[yi].y)), 2, clrs[idx])
cv.cvPutText(
ct2.drawimg,
str(ptcount),
cv.cvPoint(int(bestcurve[yi].x), int(bestcurve[yi].y)),
myfont,
clrs[idx],
)
sumscore.append(cscore)
print sumscore
if bDraw:
highgui.cvNamedWindow("contour1", 1)
highgui.cvNamedWindow("contour2", 1)
highgui.cvShowImage("contour1", ct1.drawimg)
highgui.cvShowImage("contour2", ct2.drawimg)
highgui.cvWaitKey(0)
if bSave:
mergeimg = mergeimage_83(ct1.drawimg, ct2.drawimg)
highgui.cvSaveImage("_sw_result.bmp", mergeimg)
variable_base = v/10.0
xmatch = size.width / 2 + 1
ymatch = size.height / 2 + 1
highgui.cvSetMouseCallback("depthmatch - left", mousecb)
highgui.cvCreateTrackbar("ROI", "depthmatch - left", variable_roi, size.width, cb_roi)
highgui.cvCreateTrackbar("Buffer", "depthmatch - left", variable_buf, size.width, cb_buf)
highgui.cvCreateTrackbar("Focal Length", "depthmatch - left", variable_focal, 1000, cb_focal)
highgui.cvCreateTrackbar("Baseline/10", "depthmatch - left", variable_base, 1000, cb_base)
leftdraw = cv.cvCreateImage(size, 8, 3)
rightdraw = cv.cvCreateImage(size, 8, 3)
while 1:
depth = depthmatch(xmatch, ymatch, left, right, roi=variable_roi, buf=variable_buf,baseline=variable_base, focal_length=variable_focal)
cv.cvCopy(left, leftdraw)
cv.cvCopy(right, rightdraw)
cv.cvLine(leftdraw, depth[1], depth[2], (0,255,0), 2)
cv.cvPutText(leftdraw, "%2f(m) at (%2f,%2f)" % (depth[0][2],depth[0][0],depth[0][1]), (xmatch,ymatch), font, (0,0,255))
cv.cvLine(rightdraw, depth[2], depth[2], (0,0,255), 5)
highgui.cvShowImage("depthmatch - left", leftdraw)
highgui.cvShowImage("depthmatch - right", rightdraw)
print depth
highgui.cvWaitKey(10)
if __name__ == "__main__" and test_number == 2:
left = highgui.cvLoadImage(str(sys.argv[1]))
right = highgui.cvLoadImage(str(sys.argv[2]))
highgui.cvNamedWindow("Depth")
depth = depthmatrix(left, right, 4)
depth_full = cv.cvCreateImage(cv.cvGetSize(left), 8, 1)
cv.cvResize(depth, depth_full)
highgui.cvShowImage("Depth", depth_full)
def depthmatch(x,y,leftimage,rightimage,roi=20,buf=10,debug=False):
__doc__ = """depthmatch function
x,y : (int) pixel position of target in left image
leftimage, rightimage : (IplImage) stereo images
roi: (int) region of interest around x,y to use in matching
buf: (int) buffer outside of a straight horizontal search for a match
"""
info = cv.cvGetSize(leftimage)
width = info.width
height = info.height
(y1,x1,y2,x2) = (y-roi,x-roi,y+roi,x+roi)
#template = cv.cvCreateImage((roi*2,roi*2), 8, 3)
if y1<0: y1 = 0
if x1<0: x1 = 0
if y2>height: y2 = height
if x2>width: x2 = width
#cv.cvSetZero(template)
# copy subregion roi x roi
template_rect = cv.cvRect(x1,y1,(x2-x1),(y2-y1))
template = cv.cvGetSubRect(leftimage, template_rect)
(y3,x3,y4,x4) = (y-roi-buf,x-roi-buf,y+roi+buf,width) # +/- 20 pixels in vertical direction, -20 to the right edge
if x3<0: x3 = 0
if y3<0: y3 = 0
if x4>=width: x4 = width-1
if y4>height: y4 = height
#cv.cvSetImageROI(rightimage, (y3,x3,y4,x4))
rightsub_rect = cv.cvRect(x3,y3,(x4-x3),(y4-y3))
rightsub = cv.cvGetSubRect(rightimage, rightsub_rect)
# result matrix should be (W - w + 1) x (H - h + 1) where WxH are template dimensions, wxh are rightsub dimensions
W = x4-x3
H = y4-y3
w = x2-x1
h = y2-y1
resy = (y4-y3)-(y2-y1)+1
resx = (x4-x3)-(x2-x1)+1
resultmat = cv.cvCreateImage((resx, resy), 32, 1)
cv.cvZero(resultmat)
# match template image in a subportion of rightimage
cv.cvMatchTemplate(rightsub, template, resultmat, cv.CV_TM_SQDIFF)
min_val, max_val, min_point, max_point = cv.cvMinMaxLoc(resultmat)
cv.cvNormalize(resultmat, resultmat, 1, 0, cv.CV_MINMAX)
depth = stereo.depth(x, x3+min_point.x, max_pixels=width/2)
if debug:
print "Input image: %ix%i, target: (%i,%i)" % (width,height,x,y)
print "Template box: (%i,%i) to (%i,%i)" % (x1, y1, x2, y2)
print "Search area: (%i,%i) to (%i,%i)" % (x3, y3, x4, y4)
print "%ix%i, %ix%i" % (W,H,w,h)
print "Result matrix %ix%i" % (resx, resy)
print "stereo.depth(%i,%i,max_pixels=%i)" % (x, min_point.x+x3,width/2)
if depth[0]:
print "Depth: ", depth[0], "(cm)"
#cv.cvRectangle(rightimage, cv.cvPoint(x1,y1), cv.cvPoint(x2,y2), (255,0,0))
cv.cvRectangle(rightimage, cv.cvPoint(min_point.x+x3,min_point.y+y3), cv.cvPoint(min_point.x+x3+roi*2,min_point.y+y3+roi*2), (0,255,0))
cv.cvRectangle(rightimage, cv.cvPoint(x3,y3), cv.cvPoint(x4,y4), (0,0,255))
cv.cvRectangle(leftimage, cv.cvPoint(x1,y1), cv.cvPoint(x2,y2), (255,0,0))
#cv.cvRectangle(leftimage, cv.cvPoint(min_point.x+x3,min_point.y+y3), cv.cvPoint(min_point.x+x3+roi*2,min_point.y+y3+roi*2), (0,255,0))
cv.cvRectangle(leftimage, cv.cvPoint(x3,y3), cv.cvPoint(x4,y4), (0,0,255))
if depth[0]:
cv.cvPutText(leftimage, "%5f(cm)" % depth[0], (x1,y1), font, (255,255,255))
highgui.cvShowImage("depthmatch - template", template)
highgui.cvShowImage("depthmatch - match", resultmat)
highgui.cvShowImage("depthmatch - right", rightimage)
highgui.cvShowImage("depthmatch - left", leftimage)
highgui.cvShowImage (window_name, image)
highgui.cvWaitKey (delay)
# draw some text
for i in range (number):
pt1 = cv.cvPoint (random.randrange (-width, 2 * width),
random.randrange (-height, 2 * height))
font = cv.cvInitFont (random.randrange (0, 8),
random.randrange (0, 100) * 0.05 + 0.01,
random.randrange (0, 100) * 0.05 + 0.01,
random.randrange (0, 5) * 0.1,
random.randrange (0, 10),
line_type)
cv.cvPutText (image, "Testing text rendering!",
pt1, font,
random_color (random))
highgui.cvShowImage (window_name, image)
highgui.cvWaitKey (delay)
# prepare a text, and get it's properties
font = cv.cvInitFont (cv.CV_FONT_HERSHEY_COMPLEX,
3, 3, 0.0, 5, line_type)
text_size, ymin = cv.cvGetTextSize ("OpenCV forever!", font)
pt1.x = (width - text_size.width) / 2
pt1.y = (height + text_size.height) / 2
image2 = cv.cvCloneImage(image)
# now, draw some OpenCV pub ;-)
for i in range (255):
def main():
ct1 = CurvePoint()
ct2 = CurvePoint()
sc = CntSC()
ang = CntAngle()
usage = "%prog [options] <imgfile1> <imgfile2>"
version = "%prog 0.2\nLongbin Chen, [email protected]"
oparser = optparse.OptionParser(usage=usage, version=version)
oparser.add_option('-d',
'--display',
action="store_true",
dest='display',
default=False,
help='display the image')
oparser.add_option('-n',
'--number',
dest='num',
type="int",
default=200,
help='the number of feature points')
oparser.add_option('-s',
'--save',
dest='save',
default=None,
help='save the img file')
oparser.add_option('-o',
'--output',
dest='output',
default=None,
help='output file')
(options, args) = oparser.parse_args(sys.argv)
if len(args) != 3:
oparser.parse_args([sys.argv[0], "--help"])
sys.exit(1)
ct1.GetContour(args[1], options.num)
allkeys = []
for c in ct1.allselected:
allkeys = allkeys + c
sc.ExtractFeature(allkeys)
ang.ExtractFeature(allkeys, 0)
allkeys = []
ct2.GetContour(args[2], options.num)
for c in ct2.allselected:
allkeys = allkeys + c
sc.ExtractFeature(allkeys)
ang.ExtractFeature(allkeys, 0)
sumscore = []
matcher = SmithWaterman()
ct1.bDrawNumber = 0
ct2.bDrawNumber = 0
if (options.display):
ct1.DrawKeyPoints()
ct2.DrawKeyPoints()
myfont = cv.cvInitFont(cv.CV_FONT_HERSHEY_SIMPLEX, 0.5, 0.5)
idx = -1
putoriginal(args[1], ct1.drawimg)
putoriginal(args[2], ct2.drawimg)
cv.cvNot(ct1.drawimg, ct1.drawimg)
cv.cvNot(ct2.drawimg, ct2.drawimg)
for c1 in ct1.allselected:
idx += 1
cscore = -100000000
cpt1 = getdata(c1)
bX = []
bY = []
bestcurve = None
for c2 in ct2.allselected:
cpt2 = getdata(c2)
cost, align, X, Y = matcher.Align(cpt1, cpt2)
normalized_score = cost - log10(len(c2) + 1) * 1000
print len(c1), len(c2), cost, normalized_score, cscore
if (normalized_score > cscore):
cscore = normalized_score
bX = X[:]
bY = Y[:]
bestcurve = c2
if (options.display):
ptcount = 0
for i in range(len(bX)):
xi = bX[i]
yi = bY[i]
#if (xi == -1):
#cv.cvDrawCircle(ct2.drawimg, cv.cvPoint(int(bestcurve[yi].x), int(bestcurve[yi].y)),4, cv.cvScalar(255,0,0,0))
#cv.cvPutText(ct2.drawimg, 'O', cv.cvPoint(int(c2[yi].x), int(c2[yi].y)), myfont, cv.cvScalar(255, 0, 0,0))
#if (yi == -1):
#cv.cvDrawCircle(ct1.drawimg, cv.cvPoint(int(c1[xi].x), int(c1[xi].y)),4, cv.cvScalar(255,0,0,0))
#cv.cvPutText(ct1.drawimg, 'O', cv.cvPoint(int(c1[xi].x), int(c1[xi].y)), myfont, cv.cvScalar(255, 0, 0,0))
if (xi != -1 and yi != -1):
ptcount += 1
cv.cvDrawCircle(ct1.drawimg,
cv.cvPoint(int(c1[xi].x), int(c1[xi].y)),
2, clrs[idx])
cv.cvPutText(ct1.drawimg, str(ptcount),
cv.cvPoint(int(c1[xi].x), int(c1[xi].y)),
myfont, clrs[idx])
cv.cvDrawCircle(
ct2.drawimg,
cv.cvPoint(int(bestcurve[yi].x), int(bestcurve[yi].y)),
2, clrs[idx])
cv.cvPutText(
ct2.drawimg, str(ptcount),
cv.cvPoint(int(bestcurve[yi].x), int(bestcurve[yi].y)),
myfont, clrs[idx])
sumscore.append(cscore)
print sumscore
if (options.display):
highgui.cvNamedWindow("contour1", 1)
highgui.cvNamedWindow("contour2", 1)
highgui.cvShowImage("contour1", ct1.drawimg)
highgui.cvShowImage("contour2", ct2.drawimg)
highgui.cvWaitKey(0)
if (options.save):
mergeimg = mergeimage_83(ct1.drawimg, ct2.drawimg)
highgui.cvSaveImage("_sw_result.bmp", mergeimg)
# utilsation de ControlPeriph
MouseControl.mouse_warp(souris, centrePointeur[0].x,
centrePointeur[0].y, 0, 0)
# envoie des coordonnees de pointeur via protocole Tuio
##if first2==0:
## sendTuioMess()
first = 0
if GUI == 1:
#on trace un cercle sur les pointeurs
for i in range(0, len(centrePointeur)):
cv.cvCircle(frame, centrePointeur[i], 5, color, 2, 6, 0)
#if first2==0:
# cv.cvPutText(frame, str(id_Pointeur[i]), centrePointeur[i], font, color2)
cv.cvPutText(frame, str(len(centrePointeur)), cv.cvPoint(20, 30),
font, color) # affiche le nombre de pointeur
# message "config saved" temporaire
if mess_saved < 20 and mess_saved != 0:
cv.cvPutText(frame, "config saved", cv.cvPoint(20, 100), font,
color)
mess_saved = mess_saved + 1
if mess_saved == 19:
mess_saved = 0
# we can now display the images
highgui.cvShowImage('Camera', frame)
highgui.cvShowImage('Binarisation', frameBin)
highgui.cvShowImage('1-without background', framewithoutbg)
highgui.cvShowImage('2-amplifie', framemul)
highgui.cvShowImage('3-lisser-Smooth', framelisser1)
def main():
ct1 = CntPoint()
ct2 = CntPoint()
agl = CntAngle()
das = CntDAS()
das.bDraw = 0
try:
opts, args = getopt.getopt(sys.argv[1:], "ho:dn:e",
["help", "output=", "draw", "num=", "even"])
except getopt.GetoptError:
usage()
sys.exit(2)
output = None
bDraw = 0
npoint = 100
for o, a in opts:
if o == "-v":
ct.verbose = 1
if o in ("-h", "--help"):
usage()
sys.exit()
if o in ("-o", "--output"):
output = a
if o in ("-d", "--draw"):
bDraw = 1
if o in ("-n", "--num"):
npoint = string.atoi(a)
if o in ("-e", "--even"):
ct.bEven = 1
if (len(args)) != 2:
usage()
sys.exit(2)
ct1.GetContour(args[0], npoint)
agl.ExtractFeature(ct1.GetKeyPoints(), ct1.drawimg)
das.ExtractFeature(ct1.GetKeyPoints(), ct1.drawimg)
ct2.GetContour(args[1], npoint)
agl.ExtractFeature(ct2.GetKeyPoints(), ct2.drawimg)
das.ExtractFeature(ct2.GetKeyPoints(), ct2.drawimg)
seq1 = getdata(ct1.GetKeyPoints())
seq2 = getdata(ct2.GetKeyPoints())
matcher = SmithWaterman()
cost, align, X, Y = matcher.Align(seq1, seq2)
myfont = cv.cvInitFont(cv.CV_FONT_HERSHEY_SIMPLEX, 0.5, 0.5)
if (bDraw):
ct1.DrawKeyPoints()
kpoints1 = ct1.GetKeyPoints()
ct2.DrawKeyPoints()
kpoints2 = ct2.GetKeyPoints()
ptcount = 0
for i in range(len(X)):
xi = X[i]
yi = Y[i]
if (xi == -1):
cv.cvPutText(
ct2.drawimg, 'O',
cv.cvPoint(int(kpoints2[yi].x), int(kpoints2[yi].y)),
myfont, cv.cvScalar(255, 0, 0, 0))
if (yi == -1):
cv.cvPutText(
ct1.drawimg, 'O',
cv.cvPoint(int(kpoints1[xi].x), int(kpoints1[xi].y)),
myfont, cv.cvScalar(255, 0, 0, 0))
if (xi != -1 and yi != -1):
ptcount += 1
cv.cvPutText(
ct1.drawimg, str(ptcount),
cv.cvPoint(int(kpoints1[xi].x), int(kpoints1[xi].y)),
myfont, cv.cvScalar(255, 255, 0, 0))
cv.cvPutText(
ct2.drawimg, str(ptcount),
cv.cvPoint(int(kpoints2[yi].x), int(kpoints2[yi].y)),
myfont, cv.cvScalar(255, 255, 0, 0))
highgui.cvNamedWindow("contour1", 1)
highgui.cvNamedWindow("contour2", 1)
highgui.cvShowImage("contour1", ct1.drawimg)
highgui.cvShowImage("contour2", ct2.drawimg)
highgui.cvWaitKey(0)
highgui.cvShowImage (window_name, image)
highgui.cvWaitKey (delay)
# draw some text
for i in range (number):
pt1 = cv.cvPoint (random.randrange (-width, 2 * width),
random.randrange (-height, 2 * height))
font = cv.cvInitFont (random.randrange (0, 8),
random.randrange (0, 100) * 0.05 + 0.01,
random.randrange (0, 100) * 0.05 + 0.01,
random.randrange (0, 5) * 0.1,
random.randrange (0, 10),
line_type)
cv.cvPutText (image, "Testing text rendering!",
pt1, font,
random_color (random))
highgui.cvShowImage (window_name, image)
highgui.cvWaitKey (delay)
# prepare a text, and get it's properties
font = cv.cvInitFont (cv.CV_FONT_HERSHEY_COMPLEX,
3, 3, 0.0, 5, line_type)
text_size, ymin = cv.cvGetTextSize ("OpenCV forever!", font)
pt1.x = (width - text_size.width) / 2
pt1.y = (height + text_size.height) / 2
image2 = cv.cvCloneImage(image)
# now, draw some OpenCV pub ;-)
for i in range (255):
def main():
ct1 = CntPoint()
ct2 = CntPoint()
agl = CntAngle()
das = CntDAS()
das.bDraw = 0
try:
opts, args = getopt.getopt(sys.argv[1:], "ho:dn:e", ["help", "output=", "draw", "num=", "even"])
except getopt.GetoptError:
usage()
sys.exit(2)
output = None
bDraw = 0
npoint = 100
for o, a in opts:
if o == "-v":
ct.verbose = 1
if o in ("-h", "--help"):
usage()
sys.exit()
if o in ("-o", "--output"):
output = a
if o in ("-d", "--draw"):
bDraw = 1
if o in ("-n", "--num"):
npoint = string.atoi(a)
if o in ("-e", "--even"):
ct.bEven = 1
if (len(args)) != 2:
usage()
sys.exit(2)
ct1.GetContour(args[0], npoint)
agl.ExtractFeature(ct1.GetKeyPoints(), ct1.drawimg)
das.ExtractFeature(ct1.GetKeyPoints(), ct1.drawimg)
ct2.GetContour(args[1], npoint)
agl.ExtractFeature(ct2.GetKeyPoints(), ct2.drawimg)
das.ExtractFeature(ct2.GetKeyPoints(), ct2.drawimg)
seq1 = getdata(ct1.GetKeyPoints())
seq2 = getdata(ct2.GetKeyPoints())
matcher = SmithWaterman()
cost,align,X,Y = matcher.Align(seq1, seq2)
myfont = cv.cvInitFont(cv.CV_FONT_HERSHEY_SIMPLEX, 0.5, 0.5)
if (bDraw):
ct1.DrawKeyPoints()
kpoints1 = ct1.GetKeyPoints()
ct2.DrawKeyPoints()
kpoints2 = ct2.GetKeyPoints()
ptcount = 0
for i in range(len(X)):
xi = X[i]
yi = Y[i]
if (xi == -1):
cv.cvPutText(ct2.drawimg, 'O', cv.cvPoint(int(kpoints2[yi].x), int(kpoints2[yi].y)), myfont, cv.cvScalar(255, 0, 0,0))
if (yi == -1):
cv.cvPutText(ct1.drawimg, 'O', cv.cvPoint(int(kpoints1[xi].x), int(kpoints1[xi].y)), myfont, cv.cvScalar(255, 0, 0,0))
if (xi != -1 and yi != -1):
ptcount += 1
cv.cvPutText(ct1.drawimg, str(ptcount), cv.cvPoint(int(kpoints1[xi].x), int(kpoints1[xi].y)), myfont, cv.cvScalar(255, 255, 0,0))
cv.cvPutText(ct2.drawimg, str(ptcount), cv.cvPoint(int(kpoints2[yi].x), int(kpoints2[yi].y)), myfont, cv.cvScalar(255, 255, 0,0))
highgui.cvNamedWindow ("contour1", 1)
highgui.cvNamedWindow ("contour2", 1)
highgui.cvShowImage ("contour1", ct1.drawimg)
highgui.cvShowImage ("contour2", ct2.drawimg)
highgui.cvWaitKey (0)
