def __Augmentation(self):
"""Projects an augmentation object over the chessboard pattern."""
# Load the camera.
cameraID = 0
SIGBTools.VideoCapture(cameraID,
SIGBTools.CAMERA_VIDEOCAPTURE_640X480_30FPS)
# Read each frame from input camera.
while True:
# Read the current image from the camera.
image = SIGBTools.read()
# Finds the positions of internal corners of the chessboard.
corners = SIGBTools.FindCorners(image, False)
if corners is not None:
pass
# Show the final processed image.
cv2.imshow("Augmentation", image)
if cv2.waitKey(1) & 0xFF == ord("q"):
break
# Wait 2 seconds before finishing the method.
cv2.waitKey(2000)
# Close all allocated resources.
cv2.destroyAllWindows()
SIGBTools.release()
def __TextureMapGridSequence(self):
"""Skeleton for texturemapping on a video sequence."""
# Load videodata.
filename = self.__path + "Videos/Grid05.mp4"
SIGBTools.VideoCapture(filename, SIGBTools.CAMERA_VIDEOCAPTURE_640X480)
outputSize = (1280, 720)
recorder = SIGBTools.RecordingVideos(
self.__path + "Outputs/TextureMapGridSequence_Grid05.wmv",
size=outputSize)
# Load texture mapping image.
texture = cv2.imread(self.__path + "Images/ITULogo.png")
texture = cv2.pyrDown(texture)
# Define the number and ids of inner corners per a chessboard row and column.
patternSize = (9, 6)
idx = [0, 8, 45, 53]
# Read each frame from input video.
h, w = texture.shape[0:2]
textureCorners = np.asarray([[0, h], [0, 0], [w, h], [w, 0]])
while True:
# Read the current image from a video file.
image = SIGBTools.read()
# Blurs an image and downsamples it.
image = cv2.pyrDown(image)
# Finds the positions of internal corners of the chessboard.
corners = SIGBTools.FindCorners(image, False)
if corners is not None:
pass
corners = np.asarray([
corners[idx[0]], corners[idx[1]], corners[idx[2]],
corners[idx[3]]
])
homography, _ = cv2.findHomography(textureCorners, corners)
h, w = image.shape[0:2]
overlay = cv2.warpPerspective(texture, homography, (w, h))
image = cv2.addWeighted(image, 0.5, overlay, 0.5, 0)
imagecopy = image.copy()
imagecopy = cv2.resize(imagecopy, outputSize)
SIGBTools.write(imagecopy)
# Show the final processed image.
cv2.imshow("Image", image)
if cv2.waitKey(1) & 0xFF == ord("q"):
break
# Wait 2 seconds before finishing the method.
cv2.waitKey(2000)
# Close all allocated resources.
cv2.destroyAllWindows()
SIGBTools.close()
SIGBTools.release()
def __TextureMapGridSequence(self):
"""Skeleton for texturemapping on a video sequence."""
# Load videodata.
filename = self.__path + "Videos/Grid01.mp4"
SIGBTools.VideoCapture(filename, SIGBTools.CAMERA_VIDEOCAPTURE_640X480)
SIGBTools.RecordingVideos("C:\\ITU programming\\IIAML\\Project3\\Assignments\\_02\\Outputs\\TextureMapGridSequenceGrid01.wmv")
# Load texture mapping image.
texture = cv2.imread(self.__path + "Images/ITULogo.png")
texture = cv2.pyrDown(texture)
# Define the number and ids of inner corners per a chessboard row and column.
patternSize = (9, 6)
idx = [53, 45, 8, 0]
# Read each frame from input video.
while True:
# Read the current image from a video file.
image = SIGBTools.read()
# Blurs an image and downsamples it.
image = cv2.pyrDown(image)
# Finds the positions of internal corners of the chessboard.
corners = SIGBTools.FindCorners(image)
if corners is not None:
# ====================================================
# Find corner points image
corner_points = []
for i, point in enumerate(corners[idx]):
corner_points.append(point[0].astype(int).tolist())
corner_points = np.array(corner_points)
# Corner points texture
corner_points_texture = np.array([[0,0],
[texture.shape[1]-1,0],
[0,texture.shape[0]-1],
[texture.shape[1]-1,texture.shape[0]-1]],
dtype=int)
# Calculate homography
H = cv2.findHomography(corner_points_texture, corner_points)[0]
# Draw the homography transformation.
h, w = image.shape[0:2]
overlay = cv2.warpPerspective(texture, H, (w, h))
image = cv2.addWeighted(image, 1, overlay, 1, 0)
# ====================================================
# Show the final processed image.
SIGBTools.write(image)
cv2.imshow("Image", image)
if cv2.waitKey(1) & 0xFF == ord("q"):
break
# Wait 2 seconds before finishing the method.
SIGBTools.close()
cv2.waitKey(2000)
# Close all allocated resources.
cv2.destroyAllWindows()
SIGBTools.release()
