Question

如何使用OpenCV旋转视频流中的所有帧？我尝试使用similar question中提供的代码，但它似乎不适用于返回cv.RetrieveFrame的Iplimage图像对象。

这是我目前的代码：

import cv, cv2
import numpy as np

def rotateImage(image, angle):
    if hasattr(image, 'shape'):
        image_center = tuple(np.array(image.shape)/2)
        shape = image.shape
    elif hasattr(image, 'width') and hasattr(image, 'height'):
        image_center = (image.width/2, image.height/2)
        shape = np.array((image.width, image.height))
    else:
        raise Exception, 'Unable to acquire dimensions of image for type %s.' % (type(image),)
    rot_mat = cv2.getRotationMatrix2D(image_center, angle,1.0)
    result = cv2.warpAffine(image, rot_mat, shape, flags=cv2.INTER_LINEAR)
    return result

cap = cv.CaptureFromCAM(cam_index)
#cap = cv.CaptureFromFile(path)
fps = 24
width = int(cv.GetCaptureProperty(cap, cv.CV_CAP_PROP_FRAME_WIDTH))
height = int(cv.GetCaptureProperty(cap, cv.CV_CAP_PROP_FRAME_HEIGHT))

fourcc = cv.CV_FOURCC('P','I','M','1') #is a MPEG-1 codec

writer = cv.CreateVideoWriter('out.avi', fourcc, fps, (width, height), 1)
max_i = 90
for i in xrange(max_i):
    print i,max_i
    cv.GrabFrame(cap)
    frame = cv.RetrieveFrame(cap)
    frame = rotateImage(frame, 180)
    cv.WriteFrame(writer, frame)

但这只是给出错误：

  File "test.py", line 43, in <module>
    frame = rotateImage(frame, 180)
  File "test_record_room.py", line 26, in rotateImage
    result = cv2.warpAffine(image, rot_mat, shape, flags=cv2.INTER_LINEAR)
TypeError: <unknown> is not a numpy array

大概是因为warpAffine需要一个CvMat而不是Iplimage。根据{{3}}，两者之间的转换是微不足道的，但我找不到任何关于在Python中做等效的文档。如何在Python中将Iplimage转换为Mat？

Answer 1

如果你刚刚旋转180度，你可以在两个轴上使用Flip，

取代：

frame = rotateImage(frame, 180)

使用：

cv.Flip(frame, flipMode=-1)

这是“就地”，所以它很快，你将不再需要你的rotateImage功能：）

示例：

import cv
orig = cv.LoadImage("rot.png")
cv.Flip(orig, flipMode=-1)
cv.ShowImage('180_rotation', orig)
cv.WaitKey(0)

此： enter image description here 成为：

Answer 2

您无需使用warpAffine()，请查看transpose()和flip()。

This post演示了如何将图像旋转90度。

Answer 3

通过反复试验，我最终发现了解决方案。

import cv, cv2
import numpy as np

def rotateImage(image, angle):
    image0 = image
    if hasattr(image, 'shape'):
        image_center = tuple(np.array(image.shape)/2)
        shape = tuple(image.shape)
    elif hasattr(image, 'width') and hasattr(image, 'height'):
        image_center = tuple(np.array((image.width/2, image.height/2)))
        shape = (image.width, image.height)
    else:
        raise Exception, 'Unable to acquire dimensions of image for type %s.' % (type(image),)
    rot_mat = cv2.getRotationMatrix2D(image_center, angle,1.0)
    image = np.asarray( image[:,:] )

    rotated_image = cv2.warpAffine(image, rot_mat, shape, flags=cv2.INTER_LINEAR)

    # Copy the rotated data back into the original image object.
    cv.SetData(image0, rotated_image.tostring())

    return image0

Answer 4

这对我有用：

gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
flipped = cv2.flip(gray, flipCode = 1)
cv2.imshow('frame',flipped)

如何使用OpenCV旋转视频

5 个答案: