def byte_view(qimage, byteorder='little'):
"""Return the bytes in the view with the given byteorder."""
raw = _qimageview(qimage)
result = raw.view(_np.uint8).reshape(raw.shape + (-1, ))
if byteorder and byteorder != _sys.byteorder:
result = result[..., ::-1]
return result
def byte_view(qimage, byteorder = 'little'):
"""Return the bytes in the view with the given byteorder."""
raw = _qimageview(qimage)
result = raw.view(_np.uint8).reshape(raw.shape + (-1, ))
if byteorder and byteorder != _sys.byteorder:
result = result[...,::-1]
return result
def gray2qimage(array, normalize=False):
"""Convert a 2D numpy array 'array' into a 8-bit, indexed QImage with
a specific colormap. The first dimension represents the vertical image
axis.
The parameter 'normalize' can be used to normalize an image's value range
to 0 ~ 255:
normalize = (nmin, nmax):
scale & clip image values from nmin..nmax to 0..255
normalize = nmax:
lets nmin default to zero, i.e. scale & clip the range 0..nmax to
0..255
normalize = True:
scale image values to 0..255 (same as passing (array.min(),
array.max()))
If the source array 'array' contains masked values, the result will have
only 255 shades of gray, and one color map entry will be used to make the
corresponding pixels transparent.
"""
if _np.ndim(array) != 2:
raise ValueError("gray2qimage can only convert 2D arrays")
h, w = array.shape
result = _qt.QImage(w, h, _qt.QImage.Format_Indexed8)
array = _normalize255(array, normalize)
for i in range(256):
result.setColor(i, _qt.qRgb(i, i, i))
_qimageview(result)[:] = array.clip(0, 255)
return result
def gray2qimage(array, normalize=False):
"""Convert a 2D numpy array 'array' into a 8-bit, indexed QImage with
a specific colormap. The first dimension represents the vertical image
axis.
The parameter 'normalize' can be used to normalize an image's value range
to 0 ~ 255:
normalize = (nmin, nmax):
scale & clip image values from nmin..nmax to 0..255
normalize = nmax:
lets nmin default to zero, i.e. scale & clip the range 0..nmax to
0..255
normalize = True:
scale image values to 0..255 (same as passing (array.min(),
array.max()))
If the source array 'array' contains masked values, the result will have
only 255 shades of gray, and one color map entry will be used to make the
corresponding pixels transparent.
"""
if _np.ndim(array) != 2:
raise ValueError("gray2qimage can only convert 2D arrays")
h, w = array.shape
result = _qt.QImage(w, h, _qt.QImage.Format_Indexed8)
array = _normalize255(array, normalize)
for i in range(256):
result.setColor(i, _qt.qRgb(i, i, i))
_qimageview(result)[:] = array.clip(0, 255)
return result
def byte_view(qimage, byteorder = 'little'):
raw = _qimageview(qimage)
result = raw.view(_np.uint8).reshape(raw.shape + (-1, ))
if byteorder and byteorder != _sys.byteorder:
result = result[...,::-1]
return result
def byte_view(qimage, byteorder='little'):
raw = _qimageview(qimage)
result = raw.view(_np.uint8).reshape(raw.shape + (-1, ))
if byteorder and byteorder != _sys.byteorder:
result = result[..., ::-1]
return result
