def get_pitch_outline(self):
'''
Prompts the user to draw the Pitch outline as a series of points, then users these as
extreme values to crop the camera image to these points and mask the outer edges to
remove outer noise.
'''
self.get_zone('outline', 'Draw the outline of the pitch. Contine by pressing \'q\'')
# Setup black mask to remove outside noise
self.image = tools.mask_pitch(self.image, self.data[self.drawing])
# Get crop size based on points and crop
size = tools.find_crop_coordinates(self.image, self.data[self.drawing])
self.image = self.image[size[2]:size[3], size[0]:size[1]]
cv2.imshow(FRAME_NAME, self.image)
def get_pitch_outline(self):
"""
Let user select points that corespond to the pitch outline.
End selection by pressing 'q'.
Result is masked and cropped.
"""
self.get_zone('outline', 'Draw the outline of the pitch. Contine by pressing \'q\'')
# Setup black mask to remove overflows
self.image = tools.mask_pitch(self.image, self.data[self.drawing])
# Get crop size based on points
size = tools.find_crop_coordinates(self.image, self.data[self.drawing])
# Crop
self.image = self.image[size[2]:size[3], size[0]:size[1]]
cv2.imshow(FRAME_NAME, self.image)
def get_pitch_outline(self):
"""
Let user select points that corespond to the pitch outline.
End selection by pressing 'q'.
Result is masked and cropped.
"""
self.get_zone(
'outline',
'Draw the outline of the pitch. Contine by pressing \'q\'')
# Setup black mask to remove overflows
self.image = tools.mask_pitch(self.image, self.data[self.drawing])
# Get crop size based on points
size = tools.find_crop_coordinates(self.image, self.data[self.drawing])
# Crop
#self.image = self.image[size[2]:size[3], size[0]:size[1]]
cv2.imshow(FRAME_NAME, self.image)