def detect(img_read, pt1, pt2, w):
crop_img = img_read[pt1[1]:pt2[1], pt1[0]:pt2[0]]
distance = conf["distance"]
skp, tkp = cvlib.findKeyPoints(crop_img , target, distance)
#
if tkp != None:
#print len(tkp)
if len(tkp) > 2:
save(0,0,0)
#print "no"
# no car
else:
save(0,0,1)
#print "has"
# has car
newimg = cvlib.drawKeyPoints(img_read, target, skp, tkp, pt1, pt2, -1)
else:
newimg = img_read
cv2.rectangle(newimg, pt1, pt2, (0,255,0))
#print "None"
save(0,0,1)
if DEBUG == "true":
cv2.imshow("camera", newimg)
def main():
print conf
target = cv2.imread(conf["app"]["target"]) #sys.argv[2])
#print type(target)
#cv2.NamedWindow("camera", 1)
#capture = cv2.VideoCapture(0)
capture = cv2.VideoCapture(conf["app"]["camera_uri"])
i = 0
pt1 = (conf["app"]["crop_start"][0], conf["app"]["crop_start"][1])
w = conf["app"]["corp_width"]
pt2 = (pt1[0] + w, pt1[1] + w)
debug = 1 # conf["app"]["debug"]
t1 = time.time()
while True:
i = i + 1
#if i > 200:
# i = 0
ret, img_read = capture.read() #cv.QueryFrame(capture)
# only show 1/20
if i % 12 != 0:
continue
pass
t2 = time.time()
print "[%s]" % (t2 - t1)
tq = t2
if ret == False:
raise (Exception("can't connect camera"))
#mat=cv2.GetMat(img)
#img_p = np.asarray(mat)
#img_p = cv.CreateImage(cv.GetSize(img),cv.IPL_DEPTH_8U,1)
#print dir(img)
"""
im_gray = cv.CreateImage(cv.GetSize(img),cv.IPL_DEPTH_8U,1)
cv.CvtColor(img,im_gray,cv.CV_RGB2GRAY)
# Sobel operator
dstSobel = cv.CreateMat(im_gray.height, im_gray.width, cv.CV_32FC1)
# Sobel(src, dst, xorder, yorder, apertureSize = 3)
cv.Sobel(im_gray,dstSobel,1,1,3)
"""
#print ret
try:
# skp: source key points, tkp: target key points
t1 = time.time()
#img[200:400, 100:300] # Crop from x, y, w, h -> 100, 200, 300, 400
#im[y1:y2, x1:x2]
crop_img = img_read[pt1[1]:pt2[1], pt1[0]:pt2[0]]
#print(len(crop_img))
distance = conf["app"]["distance"]
skp, tkp = cvlib.findKeyPoints(crop_img, target, distance)
if skp == None:
print("skp is none")
continue
else:
print "==" * 20
print "time:[%.3f]" % (time.time() - t1)
print "skp", len(skp) #, skp
print "tkp", len(tkp) #, tkp
if debug:
newimg = cvlib.drawKeyPoints(img_read, target, skp, tkp, pt1,
pt2, -1)
cv2.imshow("camera", newimg)
#gevent.sleep(1)
except Exception as ex:
print(ex)
#gevent.sleep(3)
continue
#cv.ShowImage('camera', newimg)
# image smoothing and subtraction
# imageBlur = cv.CreateImage(cv.GetSize(im_gray), im_gray.depth, im_gray.nChannels)
# # filering the original image
# # Smooth(src, dst, smoothtype=CV_GAUSSIAN, param1=3, param2=0, param3=0, param4=0)
# cv.Smooth(im_gray, imageBlur, cv.CV_BLUR, 11, 11)
# diff = cv.CreateImage(cv.GetSize(im_gray), im_gray.depth, im_gray.nChannels)
# # subtraction (original - filtered)
# cv.AbsDiff(im_gray,imageBlur,diff)
# cv.ShowImage('camera', diff)
if cv2.waitKey(10) == 27:
break
def main():
print conf
target = cv2.imread(conf["app"]["target"])#sys.argv[2])
#print type(target)
#cv2.NamedWindow("camera", 1)
capture = cv2.VideoCapture(0)
#capture = cv2.VideoCapture(conf["app"]["camera_uri"])
i = 0
pt1 = (conf["app"]["crop_start"][0],conf["app"]["crop_start"][1])
w = conf["app"]["corp_width"]
pt2 = (pt1[0]+w,pt1[1]+w)
debug = 1# conf["app"]["debug"]
while True:
i = i +1
#if i > 200:
# i = 0
ret, img_read = capture.read() #cv.QueryFrame(capture)
if i == 1:
pass
if ret == False:
raise(Exception("can't connect camera"))
#mat=cv2.GetMat(img)
#img_p = np.asarray(mat)
#img_p = cv.CreateImage(cv.GetSize(img),cv.IPL_DEPTH_8U,1)
#print dir(img)
"""
im_gray = cv.CreateImage(cv.GetSize(img),cv.IPL_DEPTH_8U,1)
cv.CvtColor(img,im_gray,cv.CV_RGB2GRAY)
# Sobel operator
dstSobel = cv.CreateMat(im_gray.height, im_gray.width, cv.CV_32FC1)
# Sobel(src, dst, xorder, yorder, apertureSize = 3)
cv.Sobel(im_gray,dstSobel,1,1,3)
"""
#print ret
try:
# skp: source key points, tkp: target key points
t1 = time.time()
#img[200:400, 100:300] # Crop from x, y, w, h -> 100, 200, 300, 400
#im[y1:y2, x1:x2]
crop_img = img_read[pt1[1]:pt2[1], pt1[0]:pt2[0]]
#print(len(crop_img))
distance = conf["app"]["distance"]
skp, tkp = cvlib.findKeyPoints(crop_img , target, distance)
if skp == None:
print("skp is none")
continue
else:
print "==" * 20
print "time:[%.3f]" %(time.time() - t1)
print "skp", len(skp)#, skp
print "tkp",len(tkp)#, tkp
if debug:
newimg = cvlib.drawKeyPoints(img_read, target, skp, tkp, pt1, pt2, -1)
cv2.imshow("camera", newimg)
#gevent.sleep(1)
except Exception as ex:
print(ex)
#gevent.sleep(3)
continue
#cv.ShowImage('camera', newimg)
# image smoothing and subtraction
# imageBlur = cv.CreateImage(cv.GetSize(im_gray), im_gray.depth, im_gray.nChannels)
# # filering the original image
# # Smooth(src, dst, smoothtype=CV_GAUSSIAN, param1=3, param2=0, param3=0, param4=0)
# cv.Smooth(im_gray, imageBlur, cv.CV_BLUR, 11, 11)
# diff = cv.CreateImage(cv.GetSize(im_gray), im_gray.depth, im_gray.nChannels)
# # subtraction (original - filtered)
# cv.AbsDiff(im_gray,imageBlur,diff)
# cv.ShowImage('camera', diff)
if cv2.waitKey(10) == 27:
break
def main():
print conf
target = cv2.imread(conf["app"]["target"]) #sys.argv[2])
#target = cv2.cvtColor(target, cv2.COLOR_BGR2GRAY)
#print type(target)
#cv2.NamedWindow("camera", 1)
#capture = cv2.VideoCapture(0)
capture = cv2.VideoCapture(conf["app"]["camera_uri"])
i = 0
pt1 = (conf["app"]["crop_start"][0], conf["app"]["crop_start"][1])
w = conf["app"]["corp_width"]
pt2 = (pt1[0] + w, pt1[1] + w)
debug = 1 # conf["app"]["debug"]
cp = [0, 0]
while True:
#i = i +1
#if i > 200:
# i = 0
ret, img_read = capture.read() #cv.QueryFrame(capture)
print dir(img_read)
time.sleep(1)
continue
#if i == 1:
# pass
if ret == False:
raise (Exception("can't connect camera"))
#mat=cv2.GetMat(img)
#img_p = np.asarray(mat)
#img_p = cv.CreateImage(cv.GetSize(img),cv.IPL_DEPTH_8U,1)
#print dir(img)
"""
im_gray = cv.CreateImage(cv.GetSize(img),cv.IPL_DEPTH_8U,1)
cv.CvtColor(img,im_gray,cv.CV_RGB2GRAY)
# Sobel operator
dstSobel = cv.CreateMat(im_gray.height, im_gray.width, cv.CV_32FC1)
# Sobel(src, dst, xorder, yorder, apertureSize = 3)
cv.Sobel(im_gray,dstSobel,1,1,3)
"""
#print ret
try:
# skp: source key points, tkp: target key points
t1 = time.time()
#img[200:400, 100:300] # Crop from x, y, w, h -> 100, 200, 300, 400
#im[y1:y2, x1:x2]
#
crop_img = img_read[pt1[1]:pt2[1], pt1[0]:pt2[0]]
#print(len(crop_img))
distance = conf["app"]["distance"]
skp, tkp = cvlib.findKeyPoints(crop_img, target, distance)
if skp == None:
print("skp is none")
img_read = cv2.medianBlur(img_read, 5)
img_read = cv2.cvtColor(img_read, cv2.COLOR_BGR2GRAY)
cv2.imshow("camera", img_read)
#continue
else:
print "==" * 20
print "time:[%.3f]" % (time.time() - t1)
print "skp", len(skp) #, skp
print "tkp", len(tkp) #, tkp
if debug:
crop_img = cv2.medianBlur(crop_img, 5)
gray = cv2.cvtColor(crop_img, cv2.COLOR_BGR2GRAY)
circles = cv2.HoughCircles(
gray,
cv2.cv.CV_HOUGH_GRADIENT,
45, ## dp
80, ## minDist
param1=140,
param2=118, ##
minRadius=30,
maxRadius=0)
print circles
circles = np.uint16(np.around(circles))
j = 0
cv2.rectangle(img_read, pt1, pt2, (0, 255, 0))
for i in circles[0, :]:
if supress(i, w):
j = j + 1
"""if i[0] - cp[0] > 30 or i[1] - cp[1] > 30 :
pass
else:
"""
cv2.circle(img_read,
(pt1[0] + i[0], pt1[1] + i[1]), i[2],
(0, 255, 0), 2)
cv2.circle(img_read,
(pt1[0] + i[0], pt1[1] + i[1]), 2,
(0, 0, 255), 3)
cp = [i[0], i[1]]
#newimg = cvlib.drawKeyPoints(img_read, target, skp, tkp, pt1, pt2, -1)
cv2.imshow("camera", img_read)
#gevent.sleep(1)
except Exception as ex:
print(ex)
#gevent.sleep(3)
continue
#cv.ShowImage('camera', newimg)
# image smoothing and subtraction
# imageBlur = cv.CreateImage(cv.GetSize(im_gray), im_gray.depth, im_gray.nChannels)
# # filering the original image
# # Smooth(src, dst, smoothtype=CV_GAUSSIAN, param1=3, param2=0, param3=0, param4=0)
# cv.Smooth(im_gray, imageBlur, cv.CV_BLUR, 11, 11)
# diff = cv.CreateImage(cv.GetSize(im_gray), im_gray.depth, im_gray.nChannels)
# # subtraction (original - filtered)
# cv.AbsDiff(im_gray,imageBlur,diff)
# cv.ShowImage('camera', diff)
if cv2.waitKey(10) == 27:
break
def main():
print conf
target = cv2.imread(conf["app"]["target"])#sys.argv[2])
#target = cv2.cvtColor(target, cv2.COLOR_BGR2GRAY)
#print type(target)
#cv2.NamedWindow("camera", 1)
#capture = cv2.VideoCapture(0)
capture = cv2.VideoCapture(conf["app"]["camera_uri"])
i = 0
pt1 = (conf["app"]["crop_start"][0],conf["app"]["crop_start"][1])
w = conf["app"]["corp_width"]
pt2 = (pt1[0]+w,pt1[1]+w)
debug = 1# conf["app"]["debug"]
cp = [0,0]
while True:
#i = i +1
#if i > 200:
# i = 0
ret, img_read = capture.read() #cv.QueryFrame(capture)
print dir(img_read)
time.sleep(1)
continue
#if i == 1:
# pass
if ret == False:
raise(Exception("can't connect camera"))
#mat=cv2.GetMat(img)
#img_p = np.asarray(mat)
#img_p = cv.CreateImage(cv.GetSize(img),cv.IPL_DEPTH_8U,1)
#print dir(img)
"""
im_gray = cv.CreateImage(cv.GetSize(img),cv.IPL_DEPTH_8U,1)
cv.CvtColor(img,im_gray,cv.CV_RGB2GRAY)
# Sobel operator
dstSobel = cv.CreateMat(im_gray.height, im_gray.width, cv.CV_32FC1)
# Sobel(src, dst, xorder, yorder, apertureSize = 3)
cv.Sobel(im_gray,dstSobel,1,1,3)
"""
#print ret
try:
# skp: source key points, tkp: target key points
t1 = time.time()
#img[200:400, 100:300] # Crop from x, y, w, h -> 100, 200, 300, 400
#im[y1:y2, x1:x2]
#
crop_img = img_read[pt1[1]:pt2[1], pt1[0]:pt2[0]]
#print(len(crop_img))
distance = conf["app"]["distance"]
skp, tkp = cvlib.findKeyPoints(crop_img , target, distance)
if skp == None:
print("skp is none")
img_read = cv2.medianBlur(img_read,5)
img_read = cv2.cvtColor(img_read, cv2.COLOR_BGR2GRAY)
cv2.imshow("camera", img_read)
#continue
else:
print "==" * 20
print "time:[%.3f]" %(time.time() - t1)
print "skp", len(skp)#, skp
print "tkp",len(tkp)#, tkp
if debug:
crop_img = cv2.medianBlur(crop_img,5)
gray = cv2.cvtColor(crop_img, cv2.COLOR_BGR2GRAY)
circles = cv2.HoughCircles(gray, cv2.cv.CV_HOUGH_GRADIENT,
45, ## dp
80, ## minDist
param1=140,
param2=118, ##
minRadius=30,
maxRadius=0)
print circles
circles = np.uint16(np.around(circles))
j = 0
cv2.rectangle(img_read, pt1, pt2, (0,255,0))
for i in circles[0,:]:
if supress(i, w):
j = j + 1
"""if i[0] - cp[0] > 30 or i[1] - cp[1] > 30 :
pass
else:
"""
cv2.circle(img_read,(pt1[0]+i[0],pt1[1]+i[1]),i[2],(0,255,0),2)
cv2.circle(img_read,(pt1[0]+i[0],pt1[1]+i[1]),2,(0,0,255),3)
cp = [ i[0], i[1] ]
#newimg = cvlib.drawKeyPoints(img_read, target, skp, tkp, pt1, pt2, -1)
cv2.imshow("camera", img_read)
#gevent.sleep(1)
except Exception as ex:
print(ex)
#gevent.sleep(3)
continue
#cv.ShowImage('camera', newimg)
# image smoothing and subtraction
# imageBlur = cv.CreateImage(cv.GetSize(im_gray), im_gray.depth, im_gray.nChannels)
# # filering the original image
# # Smooth(src, dst, smoothtype=CV_GAUSSIAN, param1=3, param2=0, param3=0, param4=0)
# cv.Smooth(im_gray, imageBlur, cv.CV_BLUR, 11, 11)
# diff = cv.CreateImage(cv.GetSize(im_gray), im_gray.depth, im_gray.nChannels)
# # subtraction (original - filtered)
# cv.AbsDiff(im_gray,imageBlur,diff)
# cv.ShowImage('camera', diff)
if cv2.waitKey(10) == 27:
break