我正在将一个numpy图像从BGR转换为RBG格式,这个图像正在转换为wx.位图图像,但这样做时,我得到“ValueError:Invalid data buffer size.”的位图图像。 在没有BGR到RBG转换的情况下,位图图像可以正常生成。你知道吗
错误代码:
class Video:
def __init__(self):
# self._filename = file_name
self._frame_number = -1
self._cap = cv2.VideoCapture('Path/t/o/Video') ###self._filename
self._frameCount = int(self._cap.get(cv2.CAP_PROP_FRAME_COUNT))
self._frameWidth = int(self._cap.get(cv2.CAP_PROP_FRAME_WIDTH))
self._frameHeight = int(self._cap.get(cv2.CAP_PROP_FRAME_HEIGHT))
self._frame_count = 0
self._frame_grabbed = True
self.img = np.array((self._frameHeight, self._frameWidth, 3), np.dtype('uint8'))
def iter_frames(self): # Generator to return Numpy and BitMap Image
while self._frame_count < self._frameCount and self._frame_grabbed:
self._frame_count += 1
self._frame_grabbed, self.img = self._cap.read()
print(type(self.img))
#self.img.reshape(self._frameHeight,self._frameWidth, 3)
self.img = self.img[..., ::-1] # To convert BGR to RGB
yield self.img, wx.Bitmap.FromBuffer(self._frameWidth, self._frameHeight, self.img)
v=Video()
print(next(iter_frames()))
遇到错误:
File "C:/Users/qpjg1605/Documents/Python_proj/Auptimo/Video_file.py", line 46, in <module>
print(next(v.iter_frames()))
File "C:/Users/qpjg1605/Documents/Python_proj/Auptimo/Video_file.py", line 30, in iter_frames
yield self.img, wx.Bitmap.FromBuffer(self._frameWidth, self._frameHeight, self.img)
ValueError: Invalid data buffer size.
但是当我使用numpy数组(self.\u buf[])的代码时,它工作得很好
相同的代码:
class Video:
def __init__(self):
# self._filename = file_name
self._frame_number = -1
self._cap = cv2.VideoCapture('Path\to\Video') ###self._filename
self._frameCount = int(self._cap.get(cv2.CAP_PROP_FRAME_COUNT))
self._frameWidth = int(self._cap.get(cv2.CAP_PROP_FRAME_WIDTH))
self._frameHeight = int(self._cap.get(cv2.CAP_PROP_FRAME_HEIGHT))
self._buf = np.empty((self._frameCount, self._frameHeight, self._frameWidth, 3),np.dtype('uint8')) # Empy numpy array of the shape and dtype(pixel from 0 to 255)
self._frame_count = 0
self._frame_grabbed = True
print("here")
while self._frame_count < self._frameCount and self._frame_grabbed:
self._frame_grabbed, self._buf[self._frame_count] = self._cap.read()
self._buf[self._frame_count] = self._buf[self._frame_count][..., ::-1]## Converting BGR to RBG(last dimension)
#self._buf[self._frame_count] = imutils.resize(self._buf[self._frame_count], 640, 360)
self._frame_count += 1
def iter_frames(self):
while self._frame_number < self._frameCount:
self._frame_number = self._frame_number + 1
# yield int(self._frame_number)
# cur_bmp = wx.Bitmap.FromBuffer(self.get_org_frame_width(), self.get_org_frame_height(), )
print(self._frame_number)
yield self._buf[self._frame_number], wx.Bitmap.FromBuffer(self.get_org_frame_width(),
self.get_org_frame_height(),
self._buf[self._frame_number])
这将创建一个由3项组成的数组。第一个参数是用于填充数组的iterable,而不是数组的形状。也许您想创建带有
np.zeros
或类似内容的数组。在这种情况下,第一个参数是形状。你知道吗解决了位图转换问题:
`
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