def show_video(fileorid):
cv.namedWindow(str(fileorid), cv.CV_WINDOW_AUTOSIZE)
video = cv.VideoCapture(fileorid)
img = cv.Mat()
img2 = cv.Mat()
while video.grab():
video.retrieve(img, 0)
#cv.cvtColor(img, img2, cv.CV_GBR2RGB)
cv.imshow(str(fileorid), img)
cv.waitKey(5)
def show_video(fileorid):
cv.namedWindow(str(fileorid), cv.CV_WINDOW_AUTOSIZE)
video = cv.VideoCapture(fileorid)
img = cv.Mat()
img2 = cv.Mat()
while video.grab():
video.retrieve(img, 0)
#cv.cvtColor(img, img2, cv.CV_GBR2RGB)
cv.imshow(str(fileorid), img)
cv.waitKey(5)
def blend(img, img2):
"""
混合两幅图像, 其中img2有4个通道
"""
#使用alpha通道计算img2的混和值
b = img2[:,:,3:] / 255.0
a = 1 - b # img的混合值
#混合两幅图像
img[:,:,:3] *= a
img[:,:,:3] += b * img2[:,:,:3]
img2[:] = 0
for i in xrange(0, w, w/10):
cv.line(img2, cv.Point(i,0), cv.Point(i, h),
cv.Scalar(0, 0, 255, i*255/w), 5)
blend(img, img2)
img2[:] = 0
for i in xrange(0, h, h/10):
cv.line(img2, cv.Point(0,i), cv.Point(w, i),
cv.Scalar(0, 255, 0, i*255/h), 5)
blend(img, img2)
cv.namedWindow("Draw Demo")
cv.imshow("Draw Demo", img)
cv.waitKey(0)
import numpy as np
import pyopencv as cv2
# Load an color image in grayscale
img = cv2.imread('IMG.jpeg', 0)
cv2.imshow('image', img)
cv2.waitKey(0)
cv2.destroyAllWindows()
cv2.imwrite('1.png', img)
import numpy as np
import pyopencv as cv2
# Load an color image in grayscale
img = cv2.imread('IMG.jpeg',0)
cv2.imshow('image',img)
cv2.waitKey(0)
cv2.destroyAllWindows()
cv2.imwrite('1.png', img)
winName = 'PyOpenCV fun'
cascade = pyopencv.CascadeClassifier()
cascade.load("haarcascades/haarcascade_mcs_eyepair_big.xml")
fallbackCascade = pyopencv.CascadeClassifier()
fallbackCascade.load("haarcascades/haarcascade_mcs_eyepair_small.xml")
glasses = Image.open('darkkamina.png')
glasses.load()
capture = pyopencv.VideoCapture()
frame = pyopencv.Mat()
capture.open(1)
pyopencv.namedWindow(winName, pyopencv.CV_WINDOW_AUTOSIZE&1)
if capture.isOpened():
while True:
capture.retrieve(frame)
if frame.empty():
break
eyes = detect(frame, cascade, fallbackCascade)
final = draw(frame, eyes, glasses)
pyopencv.imshow(winName, final)
if pyopencv.waitKey(25) >= 0:
break
if __name__ == '__main__':
cv.namedWindow('foo', 1)
# src = load_image('/Users/ross/Programming/demo/lena.jpg', swap=True)
src = load_image('/Users/ross/Programming/demo/lena.jpg', swap=True)
# draw_point(src, (100, 100))
gsrc = grayspace(src)
tsrc = threshold(gsrc, 100)
csrc = colorspace(tsrc)
# gsrc = src
# conts, hierarchy = contour(tsrc)
# #
# print get_polygons(conts)
draw_lines(csrc, [[(0, 0), (100, 100)]])
cv.imshow('foo', csrc)
c = cv.waitKey(0)
# if(c & 255 == 27):
# break
#======== EOF ===================================================
# def new_dst(src, zero=False, width=None,
# height=None, nchannels=None, size=None):
# '''
# '''
#
# # print nchannels
# if width is not None and height is not None:
# size = cv.Size(width, height)
# elif size is None:
# size = cv.getSize(src)
#
# if nchannels is None:
