def initRecorder(self): # Create the recorder
codec = cv.CV_FOURCC('M', 'J', 'P', 'G')
self.writer = cv.CreateVideoWriter(
datetime.now().strftime("%Y%m%d_%H%M%S") + ".wmv", codec, 8,
cv.GetSize(self.frame), 1)
# FPS set to 30 because it seems to be the fps of my cam but should be ajusted to your needs
self.countdownFont = cv.InitFont(cv.CV_FONT_HERSHEY_SIMPLEX, 3, 3, 0,
5, 8) # Creates a font
self.timeFont = cv.InitFont(cv.CV_FONT_HERSHEY_SIMPLEX, 1, 1, 0, 2,
8) # Creates a font
def initRecorder(self): #Create the recorder
codec = cv2.CV_FOURCC('M', 'J', 'P', 'G') #('W', 'M', 'V', '2')
self.writer = cv2.CreateVideoWriter(
datetime.now().strftime("%b-%d_%H_%M_%S") + ".wmv", codec, 5,
cv2.GetSize(self.frame), 1)
#FPS set to 5 because it seems to be the fps of my cam but should be ajusted to your needs
self.font = cv2.InitFont(cv2.CV_FONT_HERSHEY_SIMPLEX, 1, 1, 0, 2,
8) #Creates a font
def initRecorder(self): #Create the recorder
codec = cv.CV_FOURCC('D', 'I', 'V', 'X')
#codec = cv.CV_FOURCC("D", "I", "B", " ")
self.writer = cv.CreateVideoWriter(
datetime.now().strftime("%b-%d_%H:%M:%S") + ".avi", codec, 15,
cv.GetSize(self.frame), 1)
#FPS set at 15 because it seems to be the fps of my cam but should be ajusted to your needs
self.font = cv.InitFont(cv.CV_FONT_HERSHEY_SIMPLEX, 1, 1, 0, 2,
8) #Creates a font
def run(self):
#initiate font
font = cv.InitFont(cv.CV_FONT_HERSHEY_SIMPLEX, 1, 1, 0, 3, 8)
# instantiate images
hsv_img = cv.CreateImage(cv.GetSize(cv.QueryFrame(self.capture)), 8, 3)
threshold_img1 = cv.CreateImage(cv.GetSize(hsv_img), 8, 1)
threshold_img1a = cv.CreateImage(cv.GetSize(hsv_img), 8, 1)
threshold_img2 = cv.CreateImage(cv.GetSize(hsv_img), 8, 1)
i = 0
writer = cv.CreateVideoWriter('angle_tracking.avi', cv.CV_FOURCC('M', 'J', 'P', 'G'), 30, cv.GetSize(hsv_img), 1)
while True:
# capture the image from the cam
img = cv.QueryFrame(self.capture)
# convert the image to HSV
cv.CvtColor(img, hsv_img, cv.CV_BGR2HSV)
# threshold the image to isolate two colors
cv.InRangeS(hsv_img, (165, 145, 100), (250, 210, 160), threshold_img1) # red
cv.InRangeS(hsv_img, (0, 145, 100), (10, 210, 160), threshold_img1a) # red again
cv.Add(threshold_img1, threshold_img1a, threshold_img1) # this is combining the two limits for red
cv.InRangeS(hsv_img, (105, 180, 40), (120, 260, 100), threshold_img2) # blue
# determine the moments of the two objects
threshold_img1 = cv.GetMat(threshold_img1)
threshold_img2 = cv.GetMat(threshold_img2)
moments1 = cv.Moments(threshold_img1, 0)
moments2 = cv.Moments(threshold_img2, 0)
area1 = cv.GetCentralMoment(moments1, 0, 0)
area2 = cv.GetCentralMoment(moments2, 0, 0)
# initialize x and y
x1, y1, x2, y2 = (1, 2, 3, 4)
coord_list = [x1, y1, x2, y2]
for x in coord_list:
x = 0
# there can be noise in the video so ignore objects with small areas
if (area1 > 200000):
# x and y coordinates of the center of the object is found by dividing the 1,0 and 0,1 moments by the area
x1 = int(cv.GetSpatialMoment(moments1, 1, 0) / area1)
y1 = int(cv.GetSpatialMoment(moments1, 0, 1) / area1)
# draw circle
cv.Circle(img, (x1, y1), 2, (0, 255, 0), 20)
# write x and y position
cv.PutText(img, str(x1) +', '+str(y1), (x1, y1 + 20), font, 255) # Draw the text
if (area2 > 100000):
# x and y coordinates of the center of the object is found by dividing the 1,0 and 0,1 moments by the area
x2 = int(cv.GetSpatialMoment(moments2, 1, 0) / area2)
y2 = int(cv.GetSpatialMoment(moments2, 0, 1) / area2)
# draw circle
cv.Circle(img, (x2, y2), 2, (0, 255, 0), 20)
cv.PutText(img, str(x2) +', '+str(y2), (x2, y2 + 20), font, 255) # Draw the text
cv.Line(img, (x1, y1), (x2, y2), (0, 255, 0), 4, cv.CV_AA)
# draw line and angle
cv.Line(img, (x1, y1), (cv.GetSize(img)[0], y1), (100, 100, 100, 100), 4, cv.CV_AA)
x1 = float(x1)
y1 = float(y1)
x2 = float(x2)
y2 = float(y2)
angle = int(math.atan((y1 - y2) / (x2 - x1)) * 180 / math.pi)
cv.PutText(img, str(angle), (int(x1) + 50, (int(y2) + int(y1)) / 2), font, 255)
# cv.WriteFrame(writer,img)
# display frames to users
cv.ShowImage('Target', img)
cv.ShowImage('Threshold1', threshold_img1)
cv.ShowImage('Threshold2', threshold_img2)
cv.ShowImage('hsv', hsv_img)
# Listen for ESC or ENTER key
c = cv.WaitKey(7) % 0x100
if c == 27 or c == 10:
break
cv.DestroyAllWindows()
import cv2
import numpy as np
img = cv2.imread('Play_Ex/Play Capture 2.PNG')
lowerBound = np.array([50, 15, 65])
upperBound = np.array([60, 60, 100])
kernelOpen = np.ones((5, 5))
kernelClose = np.ones((20, 20))
font = cv2.InitFont(cv2.CV_FONT_HERSHEY_SIMPLEX, 2, 0.5, 0, 3, 1)
img = cv2.imread('Play_Ex/Play Capture 2.PNG')
img = cv2.resize(img, (340, 220))
#convert BGR to HSV
imgHSV = cv2.cvtColor(img, cv2.COLOR_BGR2HSV)
# create the Mask
mask = cv2.inRange(imgHSV, lowerBound, upperBound)
cv2.imshow("mask", mask)
cv2.imshow("cam", img)
cv2.waitKey(10)
'''
#morphology
maskOpen=cv2.morphologyEx(mask,cv2.MORPH_OPEN,kernelOpen)
maskClose=cv2.morphologyEx(maskOpen,cv2.MORPH_CLOSE,kernelClose)
maskFinal=maskClose
conts,h=cv2.findContours(maskFinal.copy(),cv2.RETR_EXTERNAL,cv2.CHAIN_APPROX_NONE)
import cv2
import numpy as np
faceDetect = cv2.CascadeClassifier("haarcascade_frontalface_default.xml")
cam = cv2.VideoCapture(0)
rec = cv2.face.LBPHFaceRecognizer_create()
rec.read("recognizer/trainingData.yml")
id = 0
font = cv2.InitFont(cv2.cv.CV_FONT_HERSHEY_COMPLEX_SMALL, 5, 1, 0, 4)
while (True):
ret, img = cam.read()
gray = cv2.cvtColor(img, cv2.COLOR.BGR2GRAY)
faces = faceDetect.detectMultiScale(gray, 1.3, 5)
for (x, y, w, h) in faces:
cv2.rectangle(img, (x, y), (x + w, y + h), (0, 255, 0), 2)
id, conf = rec.predict(gray[y:y + h, x:x + w])
if (id == 1):
id = "Teyfik"
elif (id == 2):
id = "İbrahim"
cv2.imshow("Face", img)
if (cv2.waitKey(1) == ord('q')):
break
cam.release()
cv2.destroyAllWindows()
def _get_font(self, size=1, weight=1, italic=0):
return cv.InitFont(cv.CV_FONT_HERSHEY_SIMPLEX, size, size, italic,
weight)