def Init(self):
self.frame = 'none'
self.videoCapture = 'none'
self.cascade = 'none'
self.storage = 'none'
cv.NamedWindow("Ex", cv.CV_WINDOW_FULLSCREEN)
self.videoCapture = cv.CreateCameraCapture(0)
cv.SetCaptureProperty(self.videoCapture,cv.CV_CAP_PROP_FRAME_WIDTH,80)
cv.SetCaptureProperty(self.videoCapture,cv.CV_CAP_PROP_FRAME_HEIGHT,60)
cv.SetCaptureProperty(self.videoCapture,cv.CV_CAP_PROP_FPS,10)
if( self.videoCapture == 'none' ):
print("OpenCV error: Could not create cam capture")
return
self.cascade = cv.Load("./haarcascade_frontalface_alt.xml")
self.storage = cv.CreateMemStorage( 0 )
assert(self.cascade and self.storage and self.videoCapture)
key = cv.WaitKey(10)
while(( key != 'none') and (key != 'q')):
self.frame = cv.QueryFrame(self.videoCapture)
# if( frame == 'none'):
# break
# cvFlip(self.frame, self.frame, -1)
# self.DetectFaces()
cv.ShowImage("videoCapture", self.frame)
key = cv.WaitKey(10)
return
def detect(image):
image_size = cv.GetSize(image)
# create grayscale version
grayscale = cv.CreateImage(image_size, 8, 1)
cv.CvtColor(image, grayscale, cv.BGR2GRAY)
# create storage
storage = cv.CreateMemStorage(0)
cv.ClearMemStorage(storage)
# equalize histogram
cv.EqualizeHist(grayscale, grayscale)
# detect objects
cascade = cv.LoadHaarClassifierCascade('haarcascade_frontalface_alt.xml',
cv.Size(1, 1))
faces = cv.HaarDetectObjects(grayscale, cascade, storage, 1.2, 2,
cv.HAAR_DO_CANNY_PRUNING, cv.Size(50, 50))
if faces:
print 'face detected!'
for i in faces:
cv.Rectangle(image, cv.Point(int(i.x), int(i.y)),
cv.Point(int(i.x + i.width), int(i.y + i.height)),
cv.RGB(0, 255, 0), 3, 8, 0)
# create windows
cv.NamedWindow('Camera', cv.WINDOW_AUTOSIZE)
# create capture device
device = 0 # assume we want first device
capture = cv.CreateCameraCapture(0)
cv.SetCaptureProperty(capture, cv.CAP_PROP_FRAME_WIDTH, 640)
cv.SetCaptureProperty(capture, cv.CAP_PROP_FRAME_HEIGHT, 480)
def __init__(self):
self.capture = cv.CreateCameraCapture(0)
cv.SetCaptureProperty(self.capture,cv.CV_CAP_PROP_FRAME_WIDTH,512)
cv.SetCaptureProperty(self.capture,cv.CV_CAP_PROP_FRAME_HEIGHT,512)
self.image = cv.QueryFrame(self.capture)
cv.ShowImage("Capture",self.image)
self.size = (self.image.width,self.image.height)
def __init__(self, vid=0, res=None):
self._cam = cv.CreateCameraCapture(vid)
if res:
cv.SetCaptureProperty(self._cam, cv.CV_CAP_PROP_FRAME_WIDTH,
res[0])
cv.SetCaptureProperty(self._cam, cv.CV_CAP_PROP_FRAME_HEIGHT,
res[1])
def init_cam(self):
try:
cv.NamedWindow("drillEye", 1)
cv.MoveWindow("drillEye", 288, 0)
self.capture = cv.CreateCameraCapture(self.camera)
except Exception, e:
print("Error: %s" % e)
exit(0)
def __init__(self, camera_num=0, size=(640, 480)):
self.cv_capture = cv.CreateCameraCapture(camera_num)
#cv.SetCaptureProperty(self.cv_capture,cv.CV_CAP_PROP_FRAME_WIDTH,1600.0)
#cv.SetCaptureProperty(self.cv_capture,cv.CV_CAP_PROP_FRAME_HEIGHT,1200.0)
#print cv.GetCaptureProperty(self.cv_capture,cv.CV_CAP_PROP_FRAME_WIDTH)
# print cv.GetCaptureProperty(self.cv_capture,cv.CV_CAP_PROP_FRAME_HEIGHT)
self.size = size
def setup_camera(self, indx=0, size=(400, 300)):
""" setup camera
indx = tty/usb device id
size = img width, high
"""
cv.NamedWindow('camera', 1)
capture = cv.CreateCameraCapture(indx)
cv.SetCaptureProperty(capture, cv.CV_CAP_PROP_FRAME_WIDTH, size[0])
cv.SetCaptureProperty(capture, cv.CV_CAP_PROP_FRAME_HEIGHT, size[1])
self._capture = capture
def __init__(self,
patternFile,
inputCameraDeviceId=0,
showInWindow=True,
analyzeEach=1):
self.__detectPattern = cv.Load(patternFile)
self.__camera = cv.CreateCameraCapture(int(inputCameraDeviceId))
self.__showInWindow = showInWindow
self.__analizeEach = analyzeEach
if self.__showInWindow:
cv.NamedWindow(self.__windowName, 1)
def main():
cv.NamedWindow("out", 0)
cv.MoveWindow("out", 200, 200)
cam = cv.CreateCameraCapture(0)
while True:
frame = cv.QueryFrame(cam)
cv.ShowImage("out", frame)
if (cv.WaitKey(23) == 'q'):
break
def __init__(self, id=0, width=None, height=None):
""" Create a new OpenCV Capture Device
- if 'id' is integer a 'Camera Device' is used
- if 'id' is string a 'Physical Video File' is used
"""
if type(id) is str:
self.capture = cv.CaptureFromFile(id)
else:
self.capture = cv.CreateCameraCapture(id)
cv.SetCaptureProperty(self.capture, cv.CV_CAP_PROP_FRAME_WIDTH,
width)
cv.SetCaptureProperty(self.capture, cv.CV_CAP_PROP_FRAME_HEIGHT,
height)
def init_camera(tmpfile):
global tmpimgfile
print "Attempting to initalise webcam."
camera = cv.CreateCameraCapture(0)
cv.SetCaptureProperty(camera, cv.CV_CAP_PROP_FRAME_WIDTH, 384)
cv.SetCaptureProperty(camera, cv.CV_CAP_PROP_FRAME_HEIGHT, 288)
if not camera:
print "Error opening WebCAM"
return None
else:
print "Webcam initalised."
return camera
def __init__(self, cameraIndex, parent=None):
QWidget.__init__(self)
self._capture = cv.CreateCameraCapture(cameraIndex)
# Take one frame to query height
frame = cv.QueryFrame(self._capture)
self.setMinimumSize(frame.width, frame.height)
self.setMaximumSize(self.minimumSize())
self._frame = None
self._image = self._build_image(frame)
# Paint every 50 ms
self._timer = QTimer(self)
self._timer.timeout.connect(self.queryFrame)
self._timer.start(50)
def run(self):
global frame1
global frame2
cv2.namedWindow('Sonar Data', cv.CV_WINDOW_AUTOSIZE)
cv2.namedWindow('Front Camera', cv.CV_WINDOW_AUTOSIZE)
cv2.namedWindow('Ground Cam', cv.CV_WINDOW_AUTOSIZE)
cv.MoveWindow('Front Camera', 373, 24)
cv.MoveWindow('Ground Cam', 760, 24)
cv.MoveWindow('Sonar Data', 60, 24)
camera = cv.CreateCameraCapture(self.camID)
camera2 = cv.CreateCameraCapture(1)
while True:
#time.sleep(1)
try:
#print "raw sonar data", self.sonar.sonar_data
sonar_img = sf.sonar_graph(self.sonar.sonar_data)
cv.ShowImage('Sonar Data', PILtoCV(sonar_img, 4))
cv.WaitKey(10)
del sonar_img
except:
print "sonar display failure"
pass
try:
frame1 = cv.QueryFrame(camera)
frame1 = resize_img(frame1, 0.60)
cv.ShowImage('Front Camera', frame1)
cv.WaitKey(10)
except:
print "camera1 display failure"
pass
try:
#frame2 = cv.QueryFrame(camera2)
#frame2 = resize_img(frame2, 0.60)
frame2 = frame1
cv.ShowImage('Ground Cam', frame2)
cv.WaitKey(10)
except:
print "camera2 display failure"
pass
def __init__(self, camera_num=0, size=(640, 480)):
'''
Web camera interface for cameras attached to your computer via USB or built-in.
For IP/network cameras, use the Video object instead.
@param camera_num: The camera index. Usually 0 if you only have a single webcam
on your computer. See the OpenCV highgui documentation for details.
'''
self.cv_capture = cv.CreateCameraCapture(camera_num)
#cv.SetCaptureProperty(self.cv_capture,cv.CV_CAP_PROP_FRAME_WIDTH,1600.0)
#cv.SetCaptureProperty(self.cv_capture,cv.CV_CAP_PROP_FRAME_HEIGHT,1200.0)
#print cv.GetCaptureProperty(self.cv_capture,cv.CV_CAP_PROP_FRAME_WIDTH)
# print cv.GetCaptureProperty(self.cv_capture,cv.CV_CAP_PROP_FRAME_HEIGHT)
self.size = size
def __init__(self,namew,width=None,height=None):
cv.NamedWindow(namew, 1)
self.capture = cv.CreateCameraCapture(0)
self.width = width
self.height = height
if width is None:
self.width = int(cv.GetCaptureProperty(self.capture, cv.CV_CAP_PROP_FRAME_WIDTH))
else:
cv.SetCaptureProperty(self.capture,cv.CV_CAP_PROP_FRAME_WIDTH,width)
if height is None:
self.height = int(cv.GetCaptureProperty(self.capture, cv.CV_CAP_PROP_FRAME_HEIGHT))
else:
cv.SetCaptureProperty(self.capture,cv.CV_CAP_PROP_FRAME_HEIGHT,height)
self.w = cv.CreateImage((self.width,self.height),cv.IPL_DEPTH_8U,3)
self.avg = 0 #inizializzazione media
def main():
print "hello world"
capture = cv.CreateCameraCapture(0)
cv.NamedWindow("test", 1)
cv.NamedWindow("result", 1)
global h_lower, h_upper, s_lower, s_upper
cv.CreateTrackbar("hlow", "result", h_lower, 256, on_track_bar_hlow)
cv.CreateTrackbar("hhigh", "result", h_upper, 256, on_track_bar_hhigh)
cv.CreateTrackbar("slow", "result", s_lower, 256, on_track_bar_slow)
cv.CreateTrackbar("shigh", "result", s_upper, 256, on_track_bar_shigh)
while True:
image = cv.QueryFrame(capture)
get_hand(image)
cv.ShowImage("test", image)
if(cv.WaitKey(10) != -1):
break
def main():
cv.NamedWindow("img", 0)
cv.MoveWindow("img", 200, 200)
cv.NamedWindow("out", 0)
cv.MoveWindow("out", 200, 600)
cam = cv.CreateCameraCapture(0);
while True:
frame = cv.QueryFrame(cam)
cv.ShowImage("img", frame)
out = process_frame(frame)
cv.ShowImage("out", out)
print get_pixel_center(out)
if (cv.WaitKey(23) == 'q'):
break
def __init__(self, camera_num, smallResolution=False):
"""Initialize and configure camera"""
global cam
cam = cv.CreateCameraCapture(camera_num)
if smallResolution:
cv.SetCaptureProperty(cam, cv.CV_CAP_PROP_FRAME_WIDTH, 320)
cv.SetCaptureProperty(cam, cv.CV_CAP_PROP_FRAME_HEIGHT, 240)
#cv.SetCaptureProperty(self.cam,cv.CV_CAP_PROP_FPS,30)
"""Create some image variables for using in the processing so that they would not have to be initialized running"""
size = (640, 480)
if smallResolution:
size = (320, 240)
self.hsv_frame = cv.CreateImage(size, 8, 3)
self.thresholded_frame = cv.CreateImage(size, 8, 1)
self.thresholded_field = cv.CreateImage(size, 8, 1)
"""
Import the threshold values that are set by the thresholds.py program
"""
f = open('thresholdvalues.txt', 'r')
thresholdvalues = f.read()
f.close()
clrs = thresholdvalues.split()
for i in range(len(clrs)):
clrs[i] = int(clrs[i])
"""Choose the thresholds(variable names speak for them self)"""
self.ball_threshold_low = (clrs[0], clrs[1], clrs[2])
self.ball_threshold_high = (clrs[3], clrs[4], clrs[5])
self.blue_gate_threshold_low = (clrs[6], clrs[7], clrs[8])
self.blue_gate_threshold_high = (clrs[9], clrs[10], clrs[11])
self.yellow_gate_threshold_low = (clrs[12], clrs[13], clrs[14])
self.yellow_gate_threshold_high = (clrs[15], clrs[16], clrs[17])
self.black_threshold_low = (clrs[18], clrs[19], clrs[20])
self.black_threshold_high = (clrs[21], clrs[22], clrs[23])
self.white_threshold_low = (clrs[24], clrs[25], clrs[26])
self.white_threshold_high = (clrs[27], clrs[28], clrs[29])
self.green_threshold_low = (clrs[30], clrs[31], clrs[32])
self.green_threshold_high = (clrs[33], clrs[34], clrs[35])
def main_loop(process=None, key_pressed=None):
print "Press ESC to exit ..."
# creation de la fenetre, redimensionnement automatique
cv.NamedWindow('Camera')
# webcam ou truc dans le genre
###device = -1 # n'importe laquelle
capture = cv.CreateCameraCapture(0)
cv.SetCaptureProperty(capture, cv.CV_CAP_PROP_FRAME_WIDTH, 800)
cv.SetCaptureProperty(capture, cv.CV_CAP_PROP_FRAME_HEIGHT, 600)
# si pas de webcam...
if not capture:
print "Error opening capture device"
sys.exit(1)
while 1:
# capture de l'image
frame = cv.QueryFrame(capture)
if frame is None:
break
# simulation d'un mirroir
cv.Flip(frame, None, 1)
# traitement d'image
if process:
frame = process(frame)
# display webcam image
cv.ShowImage('Camera', frame)
# handle events
k = cv.WaitKey(10)
if k == 0x20: # ESPACE
print 'ESPACE pressed. Computing.'
if key_pressed: frame = key_pressed(frame)
if k == 0x1b: # ESC
print 'ESC pressed. Exiting ...'
cv.DestroyAllWindows()
break
def analyze_webcam(width, height):
print("""
' ' : extract colors of detected face
'b' : toggle onlyBlackCubes
'd' : toggle dodetection
'm' : shift right
'n' : shift left
'r' : reset everything
'q' : print hsvs
'p' : resolve colors
'u' : toggle didassignments
's' : save image
""")
# 0 for laptop camera
# 1 for usb camera
capture = cv.CreateCameraCapture(0)
# Set the capture resolution
cv.SetCaptureProperty(capture, cv.CV_CAP_PROP_FRAME_WIDTH, width)
cv.SetCaptureProperty(capture, cv.CV_CAP_PROP_FRAME_HEIGHT, height)
# Create the window and set the size to match the capture resolution
cv.NamedWindow("Fig", cv.CV_WINDOW_NORMAL)
cv.ResizeWindow("Fig", width, height)
frame = cv.QueryFrame(capture)
rf = RubiksFinder(width, height)
while True:
frame = cv.QueryFrame(capture)
if not frame:
cv.WaitKey(0)
break
rf.analyze_frame(frame)
if not rf.process_keyboard_input():
break
cv.DestroyWindow("Fig")
def setup_camera_capture(device_num=0):
''' perform camera setup for the device number (default device = 0) i
return a reference to the camera Capture
'''
try:
# try to get the device number from the command line
device = int(device_num)
except (IndexError, ValueError):
# no device number on the command line, assume we want the 1st device
device = 0
print 'Using Camera device %d' % device
# no argument on the command line, try to use the camera
capture = cv.CreateCameraCapture(device)
if not capture:
print "Error opening capture device"
sys.exit(1)
return capture
def __init__(self):
self.IMAGE_WIDTH = 320
self.IMAGE_HEIGHT = 240
# PID parameters
self.KP = 0.035
self.KI = 0.045
self.KD = 0.005
self.prev_errx = 0
self.prev_erry = 0
self.integral_x = 0
self.integral_y = 0
self.curr_yaw = 90
self.curr_pitch = 90
self.last_obs = time.time()
# Open the camera
self.capture = cv.CreateCameraCapture(0)
cv.SetCaptureProperty(self.capture, cv.CV_CAP_PROP_FRAME_WIDTH,
self.IMAGE_WIDTH)
cv.SetCaptureProperty(self.capture, cv.CV_CAP_PROP_FRAME_HEIGHT,
self.IMAGE_HEIGHT)
# Union-Find Connected Comonent Labeling
self.detector = BlobDetector()
# Kalman filter
self.filter = KalmanFilter()
# Open the serial port to the arduino
print 'Opening serial port ...'
self.serial = serial.Serial('/dev/ttyACM0', 19200)
time.sleep(2)
print 'Moving servos to initial position ...'
self.serial.write('90s90t')
time.sleep(1)
def getHandsVideo(self, nr):
capture = cv.CreateCameraCapture(0)
img_width = int(self.default_width / self.rescale_ratio)
img_height = int(self.default_height / self.rescale_ratio)
#cv.SetCaptureProperty(capture, cv.CV_CAP_PROP_FRAME_WIDTH, img_width)
#cv.SetCaptureProperty(capture, cv.CV_CAP_PROP_FRAME_HEIGHT, img_heigth)
#cv.SetCaptureProperty(capture, cv.CV_CAP_PROP_FPS, 10)
#cv.SetCaptureProperty(capture, cv.CV_CAP_PROP_CONVERT_RGB, 1)
index = 0
gray_img = cv.CreateImage((70, 70), cv.IPL_DEPTH_8U, 1)
small_img = cv.CreateImage((img_width, img_height), cv.IPL_DEPTH_8U, 3)
imgHSV = cv.CreateImage((70, 70), cv.IPL_DEPTH_8U, 3)
h_plane = cv.CreateImage((70, 70), cv.IPL_DEPTH_8U, 1)
v_plane = cv.CreateImage((70, 70), cv.IPL_DEPTH_8U, 1)
while True:
index += 1
if (index % 5 == 0):
img = cv.QueryFrame(capture)
cv.Resize(img, small_img)
cv.SetImageROI(small_img, ((int(img_width / 2) - 45),
(int(img_height / 2) - 45), 70, 70))
cv.CvtColor(small_img, imgHSV, cv.CV_BGR2HSV)
cv.Split(imgHSV, h_plane, None, v_plane, None)
#cv.InRangeS(h_plane,2,60,h_plane)
cv.InRangeS(v_plane, 130, 360, v_plane)
for i in range(0, 70):
for j in range(0, 70):
if (v_plane[i, j] == 0):
small_img[i, j] = (0, 0, 0)
cv.CvtColor(small_img, gray_img, cv.CV_BGR2GRAY)
cv.EqualizeHist(gray_img, gray_img)
cv.ShowImage("camera", gray_img)
cv.SaveImage(
"train/" + str(nr) + "camera" + str(index) + ".jpg",
gray_img)
cv.ResetImageROI(small_img)
if cv.WaitKey(10) == 27:
break
else:
adresse = "osc.udp://" + IP + ":" + str(port)
target = liblo.Address(adresse)
except liblo.AddressError, err:
print "Impossible de se connecter au serveur"
print str(err)
sys.exit()
cascade = cv.Load(haarfile)
if not cascade:
print "Impossible de charger la cascade de classifieurs à l'emplacement " + haarfile + "!"
sys.exit(1)
#capture une image avec la webcam
capture = cv.CreateCameraCapture(webcamID)
if showCamera == 1:
cv.NamedWindow("result", 1)
if capture:
frame_copy = None
while True:
frame = cv.QueryFrame(capture)
if not frame:
cv.WaitKey(0)
break
#FAIRE UN TEST SANS FRAME_COPY DU TOUT
if not frame_copy:
frame_copy = cv.CreateImage((frame.width, frame.height),
cv.IPL_DEPTH_8U, frame.nChannels)
#s'assure que l'origine de l'image est la bonne
def rightDown(finger):
win32api.mouse_event(win32con.MOUSEEVENTF_RIGHTDOWN, finger[0], finger[1],
0, 0)
def rightUp(finger):
win32api.mouse_event(win32con.MOUSEEVENTF_RIGHTUP, finger[0], finger[1], 0,
0)
#main program
if __name__ == '__main__':
#capture pake webcam atau pake video
capture = cv.CreateCameraCapture(1)
#initiate part
imageWidth = 0
imageHeight = 0
storage = cv.CreateMemStorage(0)
currentFrameSize = (0, 0)
fps = 10
camdelay = (1.0 / fps)
fixedBorder = 0
telunjukTerangkat = False
jariKanan = False
jariKiri = False
duaJari = False
tigaJari = False
leftFingerDown = False
def startCapture(self):
self.capture = cv.CreateCameraCapture(camera_index)
self.captureStarted = True
import sys
import cv
from hs_histogram import *
if __name__ == '__main__':
cv.NamedWindow("input", 1)
cv.NamedWindow("skinProb", 1)
cv.NamedWindow("skinProbThreshH", 1)
cv.NamedWindow("skinProbThreshHEroDel", 1)
cv.NamedWindow("skinProbColor", 1)
cv.NamedWindow("skinProbSmoothed", 1)
capture = cv.CreateCameraCapture(int(0))
frameCount = 0
totalTime = 0
imageResize = 0.5
hasHist = False
bestFaceX = 0
bestFaceY = 0
bestFaceW = 0
bestFaceH = 0
if capture:
inputFrame = None
while True:
frameCount += 1
import math
def work(image):
image_size = cv.GetSize(image)
grayscale = cv.CreateImage(image_size, 8, 1)
cv.CvtColor(image, grayscale, cv.CV_BGR2GRAY)
storage = cv.CreateMemStorage(0)
cv.EqualizeHist(grayscale, grayscale)
return image
if __name__ == "__main__":
DEVICE = int(sys.argv[1]) if len(sys.argv) > 1 else 0 #/dev/video0
cv.NamedWindow('Camera')
capture = cv.CreateCameraCapture(DEVICE)
k = ''
i = 0
while k != 27:
frame = cv.QueryFrame(capture) #cv.RetrieveFrame(capture)
if frame is None:
break
# mirror
cv.Flip(frame, None, 1)
# face detection
frame = work(frame)
# display webcam image
cv.ShowImage('Camera', frame)
# handle events
type="str",
help="Haar cascade file, default %default",
default=
"/usr/local/Cellar/opencv/2.2/share/opencv/haarcascades/haarcascade_frontalface_default.xml"
)
(options, args) = parser.parse_args()
cascade = cv.Load(options.cascade)
if len(args) != 1:
parser.print_help()
sys.exit(1)
input_name = args[0]
if input_name.isdigit():
capture = cv.CreateCameraCapture(int(input_name))
else:
capture = None
cv.NamedWindow("result", 1)
if capture:
frame_copy = None
while True:
frame = cv.QueryFrame(capture)
if not frame:
cv.WaitKey(0)
break
if not frame_copy:
frame_copy = cv.CreateImage((frame.width, frame.height),
cv.IPL_DEPTH_8U, frame.nChannels)
def main():
captura = cv.CreateCameraCapture(
1) ##guardamos la imagen de la camara web usb
global arra ##cargamos el arreglo de los objetos
font = cv.InitFont(cv.CV_FONT_HERSHEY_SIMPLEX, 1, 1, 0, 3,
3) #creamos el fondo para las letras
proses = 0
sumaa = 0
while True:
img = cv.QueryFrame(captura)
#cv.Resize(img,img,cv.CV_INTER_CUBIC)
#tiempoi = time.time()
#draw = ImageDraw.Draw(img)
anch, alt = cv.GetSize(img) ##obtenemos las dimensiones
k = cv.WaitKey(10)
##esperemos para cualquier incombeniente
#cv.SaveImage("test.jpg",img)
cv.Smooth(img, img, cv.CV_GAUSSIAN, 9,
9) ##aplicamos filtro para reducir el ruido
#cv.SaveImage("sruido.jpg",img)
grey = cv.CreateImage(cv.GetSize(img), 8,
1) ##creamos una imagen en blanco
bn = cv.CreateImage(cv.GetSize(img), 8, 1)
##creamos imagen en blanco
cv.CvtColor(
img, grey, cv.CV_BGR2GRAY
) ###pasamos la imagen a escala de grises y la guardamos en la imagen ne blanco
#cv.SaveImage("gris.jpg",grey)
cv.ConvertImage(img, bn, 0)
##convertimos la imagen a blancos
threshold = 40 ##umbral 1 para binarizacion
colour = 255 ## umbral 2 para binarizacion
cv.Threshold(grey, grey, threshold, colour,
cv.CV_THRESH_BINARY) ##aplicamos binarizacion
cv.Canny(
grey, bn, 1, 1, 3
) ##preparamos para obtener contornos, esto nos muestra la imagen con los contornos
#cv.SaveImage("cont.jpg",bn)
cv.SaveImage("grey.jpg", grey) ##guardamos la imagen
cambio("grey.jpg") ##invertimos la imagen y discretisamos
imgg = cv.LoadImage(
'ngrey.jpg',
cv.CV_LOAD_IMAGE_GRAYSCALE) ##cargamos nuevamente la imagen
storage = cv.CreateMemStorage(
0) ##para guardar los puntos y no saturar la memoria
contours = cv.FindContours(
imgg, storage, cv.CV_RETR_TREE, cv.CV_CHAIN_APPROX_SIMPLE,
(0, 0)) ##obtener los puntos de los contornos
puntos = [
] ##para guardar los diferente centros de los objetos y verificarlas posteriormente
while contours: ##leemos los contornos
nx, ny = contours[
0] ##para verificar donde se encuentra los centros de la figura u bojeto
mx, my = contours[0] ##
ancho, altura = cv.GetSize(img) ##obtenemos el tama de la imagen
for i in range(len(contours)): ##verificamos las esquinas
xx, yy = contours[i]
if xx > mx:
mx = xx
if xx < nx:
nx = xx
if yy > my:
my = yy
if yy < ny:
ny = yy
a, b, c, d = random.randint(0, 255), random.randint(
0,
255), random.randint(0,
255), random.randint(0,
255) ##para el color
if len(contours
) >= 50: ##si son mas de 50 puntos es tomada como figura
cv.Rectangle(img, (nx, ny), (mx, my), cv.RGB(0, 255, 0), 1, 8,
0) ##pintamos el rectangulo con las esquinas
#are = abs(mx-nx)*abs(my-ny)
puntos.append((abs(mx + nx) / 2,
abs(my + ny) / 2)) ##agregamos los centros
#are = abs(mx-nx)*abs(my-ny)
contours = contours.h_next(
) #pasamos con los siguientes puntos unidos
nuevo = de(
puntos, anch, alt
) ##verificamos los objetos y obtenemos los centros de los mismos
for i in range(len(nuevo)): ## pintamos la direccin de los mismos
x, y, z = nuevo[i]
cv.PutText(img, "" + z + "", (x, y), font, 255)
tiempof = time.time() ##verificar rendimiento
cv.ShowImage('img', img)
#cv.SaveImage("final.jpg",img)
#tiempoa = tiempof - tiempoi
#proses += 1
#sumaa = sumaa + tiempoa
#print float(sumaa)/float(proses)
#f.write(""+str(proses)+" "+str(tiempoa)+"\n")
##verificar rendimientp
if k == 'f': ##si se preciona f se sale
break