def __init__(self, threshold=1, doRecord=True, showWindows=True):
self.writer = None
self.font = None
self.doRecord = doRecord # Either or not record the moving object
self.show = showWindows # Either or not show the 2 windows
self.frame = None
self.capture = cv.CaptureFromCAM(0)
self.frame = cv.QueryFrame(
self.capture) # Take a frame to init recorder
if doRecord:
self.initRecorder()
self.gray_frame = cv.CreateImage(cv.GetSize(self.frame),
cv.IPL_DEPTH_8U, 1)
self.average_frame = cv.CreateImage(cv.GetSize(self.frame),
cv.IPL_DEPTH_32F, 3)
self.absdiff_frame = None
self.previous_frame = None
self.surface = self.frame.width * self.frame.height
self.currentsurface = 0
self.currentcontours = None
self.threshold = threshold
self.isRecording = False
self.trigger_time = 0 # Hold timestamp of the last detection
if showWindows:
cv.NamedWindow("Image")
cv.CreateTrackbar("Detection treshold: ", "Image", self.threshold,
100, self.onThresholdChange)
def __init__(self, threshold=8, doRecord=True, showWindows=True):
self.writer = None
self.font = None
self.doRecord = doRecord #Either or not record the moving object
self.show = showWindows #Either or not show the 2 windows
self.frame = None
self.capture = cv2.CaptureFromCAM(0)
self.frame = cv2.QueryFrame(
self.capture) #Take a frame to init recorder
if doRecord:
self.initRecorder()
self.frame1gray = cv2.CreateMat(self.frame.height, self.frame.width,
cv2.CV_8U) #Gray frame at t-1
cv2.CvtColor(self.frame, self.frame1gray, cv2.CV_RGB2GRAY)
#Will hold the thresholded result
self.res = cv2.CreateMat(self.frame.height, self.frame.width,
cv2.CV_8U)
self.frame2gray = cv2.CreateMat(self.frame.height, self.frame.width,
cv2.CV_8U) #Gray frame at t
self.width = self.frame.width
self.height = self.frame.height
self.nb_pixels = self.width * self.height
self.threshold = threshold
self.isRecording = False
self.trigger_time = 0 #Hold timestamp of the last detection
if showWindows:
cv2.NamedWindow("Image")
cv2.CreateTrackbar("Detection treshold: ", "Image", self.threshold,
100, self.onChange)
def __init__(self,mode=1,name="w1",capture=1):
print name
if mode == 1:
cv2.StartWindowThread()
cv2.NamedWindow(name, cv2.CV_WINDOW_AUTOSIZE)
self.camera_index = 0
self.name=name
if capture == 1:
self.capture = cv2.CaptureFromCAM(self.camera_index)
def minimal_run():
cap = cv2.CaptureFromCAM(0)
while 1:
if cap.isOpened():
rval, frame = cap.read()
cv2.imshow("Raw Image", frame)
shapes, annot_frame = get_shape_information(frame)
for s in shapes:
print(s.color)
cv2.imshow("Processed Image", annot_frame)
k = cv2.waitKey(5) & 0xFF
if k == 27: # ESC
break
cv2.destroyAllWindows()
cap.release()
def __init__(self):
cv.NamedWindow(color_tracker_window, 1)
self.capture = cv.CaptureFromCAM(0)
import cv2
capture = cv2.CaptureFromCAM(0)
num = 0
while(true):
img=cv.QueryFrame(capture)
file=cv2.imwrite('pic'+str(num)+'.jpg',img)
num+=1
fr.fingertipdetection(file)
fr.
def __init__(self, ceil=15):
self.ceil = ceil
self.capture = cv.CaptureFromCAM(0)
cv.NamedWindow("Target", 1)
import sys
import cv2
import numpy as np
if (sys.argv[1] == "-i" and len(sys.argv) == 3):
fileLocation = sys.argv[2]
img = cv2.imread(fileLocation)
cv2.imshow("Image", img)
cv2.waitkey(0)
cv2.destroyAllWindows()
elif (sys.argv[1] == "-l" and len(sys.argv) == 3):
cv2.NamedWindow("Camera Feed", cv2.CV_WINDOW_AUTOSIZE)
port = (int)(sys.argv[2])
capture = cv2.CaptureFromCAM(port)
while True:
frame = cv2.QueryFrame(capture)
cv2.ShowImage("Camera Feed", frame)
key = cv2.waitKey(10)
if key == 27:
break
cv2.destroyWindow("Camer Feed")
def __init__(self):
self.capture = cv.CaptureFromCAM(0)
