from cam import OpenCV_Cam
import cv2
import os.path
import time
cam = OpenCV_Cam(0)
cam.size = (1920, 1080)
KEY_ESC = 27
KEY_SPACE = ord(' ')
PAGE_DOWN = 2228224 # This make the stop motion to be controllable by presenter.
prevFrame = None
i = 0
#Make a directory on current working directory with date and time as its name
timestr = time.strftime("%Y%m%d-%H%M%S")
cwd = os.getcwd()
dirName = cwd + "\\"+timestr
os.makedirs(dirName)
fname= cwd + "\\frame_.png"
if os.path.isfile(fname):
prevFrame = cv2.imread(fname)
#Make .avi file from collected frames
fourcc = cv2.cv.CV_FOURCC(*'XVID')
video = cv2.VideoWriter(dirName+"\\"+'output_.avi',fourcc, 3.0, cam.size, isColor =True)
return img
def reverse_transform(self, cam_pts):
pts = np.float32(cam_pts).reshape(-1, 1, 2)
return cv2.perspectiveTransform(pts, self.cam2screen_matrix)
def screen_top_view(self, cam_img):
shape = (self._screen_img.shape[1], self._screen_img.shape[0])
img = cv2.warpPerspective(cam_img, self.cam2screen_matrix, shape)
return img
if __name__ == '__main__':
sf = ScreenFinder()
cam = OpenCV_Cam()
cam.size = (640, 480)
color_img = cv2.imread('wood.png')
img = cv2.cvtColor(color_img, cv2.COLOR_BGR2GRAY)
cv2.imshow('source', color_img)
sf.set_screen_img(img)
if img.shape[0] * img.shape[1] > cam.size[0] * cam.size[1]:
img = cv2.resize(img, cam.size)
while True:
cam_img = cam.read()
if not sf.screen_is_found:
sf.find_screen_loop(cam, True)
def find_threshold(cam):
img = cam.read()
hx, hy = find_laser_loc(img, 0)
threshold = img[hy, hx, 2] + 10
print "The red threshold is automatically determined to be", threshold
return threshold
background = cv2.imread('wood.png')
cv2.imshow('Burn this page!', background)
sf = ScreenFinder()
sf.set_screen_img(background)
cam = OpenCV_Cam()
cam.size = 640, 480
img = cam.read()
sf.find_screen_img(img)
sf.find_screen_loop(cam, False)
bs = background.shape
canvas = np.full((bs[0], bs[1], 4), 0, dtype=np.uint8)
# prepare threshold
thresh = find_threshold(cam)
show_top_view, show_cam_view = False, False
while True:
img = cam.read()
if show_cam_view:
from cam import OpenCV_Cam
import cv2
import os.path
import time
cam = OpenCV_Cam(0)
cam.size = (1920, 1080)
KEY_ESC = 27
KEY_SPACE = ord(' ')
PAGE_DOWN = 2228224 # This make the stop motion to be controllable by presenter.
prevFrame = None
i = 0
#Make a directory on current working directory with date and time as its name
timestr = time.strftime("%Y%m%d-%H%M%S")
cwd = os.getcwd()
dirName = cwd + "\\" + timestr
os.makedirs(dirName)
fname = cwd + "\\frame_.png"
if os.path.isfile(fname):
prevFrame = cv2.imread(fname)
#Make .avi file from collected frames
fourcc = cv2.cv.CV_FOURCC(*'XVID')
video = cv2.VideoWriter(dirName + "\\" + 'output_.avi',
fourcc,
3.0,
cam.size,
isColor=True)
img = cam.read()
hx, hy = find_laser_loc(img, 0)
threshold = img[hy, hx, 2] + 10
print "The red threshold is automatically determined to be", threshold
return threshold
FILENAME = 'wood_800.png'
background = cv2.imread(FILENAME)
cv2.imshow('Burn this page!', background)
sf = ScreenFinder()
sf.set_screen_img(background)
cam = OpenCV_Cam()
cam.size = 640, 480
img = cam.read()
sf.find_screen_img(img)
sf.find_screen_loop(cam, False)
bs = background.shape
canvas = np.full((bs[0], bs[1], 4), 0, dtype=np.uint8)
# prepare threshold
thresh = find_threshold(cam)
show_top_view, show_cam_view = False, False
while True:
img = cam.read()
if show_cam_view:
def reverse_transform(self, cam_pts):
pts = np.float32(cam_pts).reshape(-1,1,2)
return cv2.perspectiveTransform(pts, self.cam2screen_matrix)
def screen_top_view(self, cam_img):
shape = (self._screen_img.shape[1], self._screen_img.shape[0])
print self.cam2screen_matrix
img = cv2.warpPerspective(cam_img, self.cam2screen_matrix, shape)
return img
if __name__ == '__main__':
sf = ScreenFinder()
cam = OpenCV_Cam()
cam.size = (640, 480)
color_img = cv2.imread('wood.png')
img = cv2.cvtColor(color_img, cv2.COLOR_BGR2GRAY)
cv2.imshow('source', color_img)
sf.set_screen_img(img)
if img.shape[0] * img.shape[1] > cam.size[0] * cam.size[1]:
img = cv2.resize(img, cam.size)
while True:
cam_img = cam.read()
if not sf.screen_is_found:
sf.find_screen_loop(cam, True)
