我正在使用以下方法逐帧读取视频:
vc = cv2.VideoCapture('test.avi')
稍后我使用以下方法检查是否已读取frame
:
if vc.isOpened():
rval,frame = vc.read()
else:
rval = False
现在的问题是,如果我尝试使用以下代码将此frame
转换为numpy数组:
PILImage = Image.fromstring("L",cv.GetSize(frame),frame.tostring())
NumPyArray = np.array(PILImage)
我收到一个错误,说:
CvArr argument 'arr' must be IplImage, CvMat or CvMatND. Use fromarray() to convert numpy arrays to CvMat or cvMatND
从 VideoCapture 的文档::read 我发现它返回了两件事[retVal,Image]
。如何仅获取Image
部分以及如何将其转换为 Numpy 数组?
更多信息:基本上这样做的全部意义在于,我正在尝试编写一个程序,该程序允许我通过按空格键浏览视频的每一帧,并从任何帧中选择一个特定区域并将其另存为 jpg。这是代码:
from ITMS import ITMS
import cv2
from cv2 import cv
import numpy as np
import matplotlib.pyplot as plt
import Image
import matplotlib.widgets as widgets
def onselect(eclick, erelease):
if eclick.ydata>erelease.ydata:
eclick.ydata,erelease.ydata=erelease.ydata,eclick.ydata
if eclick.xdata>erelease.xdata:
eclick.xdata,erelease.xdata=erelease.xdata,eclick.xdata
ax.set_ylim(erelease.ydata,eclick.ydata)
ax.set_xlim(eclick.xdata,erelease.xdata)
fig.canvas.draw()
def subImager(arr):
fig = plt.figure()
ax = fig.add_subplot(111)
plt_image=plt.imshow(arr,cmap="Greys_r")
rs=widgets.RectangleSelector(
ax, onselect, drawtype='box',
rectprops = dict(facecolor='red', edgecolor = 'red', alpha=0.2, fill=True))
plt.show()
cv2.namedWindow("preview")
vc = cv2.VideoCapture('test.avi')
if vc.isOpened():
rval,frame = vc.read()
else:
rval = False
while rval:
key = cv2.waitKey(30)
if key==32:
cv2.imshow("preview", frame)
NumPyArray=ITMS.CVtoNPArray(frame)
subImager(NumPyArray)
rval,frame = vc.read()
elif key==27:
break
cv2.destroyAllWindows()
ITMS 类:
from cv2 import cv
import cv2
import numpy as np
from PIL import Image
class ITMS:
def __init__(self):
pass
def CVtoNPArray(CVImage):
PILImage = Image.fromstring("L",cv.GetSize(CVImage),CVImage.tostring())
NumPyArray = np.array(PILImage)
return NumPyArray
CVtoNPArray=staticmethod(CVtoNPArray)
事情复杂化了,以你的frame
名返回的图像已经是一个 numpy 数组。如果要将其转换为 PIL
,只需执行Image.fromarray(frame)
。