本文整理匯總了Python中cv2.ROTATE_90_COUNTERCLOCKWISE屬性的典型用法代碼示例。如果您正苦於以下問題：Python cv2.ROTATE_90_COUNTERCLOCKWISE屬性的具體用法？Python cv2.ROTATE_90_COUNTERCLOCKWISE怎麽用？Python cv2.ROTATE_90_COUNTERCLOCKWISE使用的例子？那麽, 這裏精選的屬性代碼示例或許可以為您提供幫助。您也可以進一步了解該屬性所在類cv2的用法示例。
在下文中一共展示了cv2.ROTATE_90_COUNTERCLOCKWISE屬性的2個代碼示例，這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚，您的評價將有助於係統推薦出更棒的Python代碼示例。
示例1: check_video_rotation
# 需要導入模塊: import cv2 [as 別名]
# 或者: from cv2 import ROTATE_90_COUNTERCLOCKWISE [as 別名]
def check_video_rotation(filename):
# thanks to
# https://stackoverflow.com/questions/53097092/frame-from-video-is-upside-down-after-extracting/55747773#55747773
# this returns meta-data of the video file in form of a dictionary
meta_dict = ffmpeg.probe(filename)
# from the dictionary, meta_dict['streams'][0]['tags']['rotate'] is the key
# we are looking for
rotation_code = None
try:
if int(meta_dict['streams'][0]['tags']['rotate']) == 90:
rotation_code = cv2.ROTATE_90_CLOCKWISE
elif int(meta_dict['streams'][0]['tags']['rotate']) == 180:
rotation_code = cv2.ROTATE_180
elif int(meta_dict['streams'][0]['tags']['rotate']) == 270:
rotation_code = cv2.ROTATE_90_COUNTERCLOCKWISE
else:
raise ValueError
except KeyError:
pass
return rotation_code 示例2: fix_orientation
# 需要導入模塊: import cv2 [as 別名]
# 或者: from cv2 import ROTATE_90_COUNTERCLOCKWISE [as 別名]
def fix_orientation(image, orientation):
# 1 = Horizontal(normal)
# 2 = Mirror horizontal
# 3 = Rotate 180
# 4 = Mirror vertical
# 5 = Mirror horizontal and rotate 270 CW
# 6 = Rotate 90 CW
# 7 = Mirror horizontal and rotate 90 CW
# 8 = Rotate 270 CW
if type(orientation) is list:
orientation = orientation[0]
if orientation == 1:
pass
elif orientation == 2:
image = cv2.flip(image, 0)
elif orientation == 3:
image = cv2.rotate(image, cv2.ROTATE_180)
elif orientation == 4:
image = cv2.flip(image, 1)
elif orientation == 5:
image = cv2.flip(image, 0)
image = cv2.rotate(image, cv2.ROTATE_90_COUNTERCLOCKWISE)
elif orientation == 6:
image = cv2.rotate(image, cv2.ROTATE_90_CLOCKWISE)
elif orientation == 7:
image = cv2.flip(image, 0)
image = cv2.rotate(image, cv2.ROTATE_90_CLOCKWISE)
elif orientation == 8:
image = cv2.rotate(image, cv2.ROTATE_90_COUNTERCLOCKWISE)
return image