def array_to_qimage(arr, copy=False):
"""
Convert NumPy array to QImage object
:param numpy.array arr: NumPy array
:param bool copy: if True, make a copy of the array
:return: QImage object
"""
# https://gist.githubusercontent.com/smex/5287589/raw/toQImage.py
if arr is None:
return QImage()
if len(arr.shape) not in (2, 3):
raise NotImplementedError("Unsupported array shape %r" % arr.shape)
data = arr.data
ny, nx = arr.shape[:2]
stride = arr.strides[0] # bytes per line
color_dim = None
if len(arr.shape) == 3:
color_dim = arr.shape[2]
if arr.dtype == np.uint8:
if color_dim is None:
qimage = QImage(data, nx, ny, stride, QImage.Format_Indexed8)
# qimage.setColorTable([qRgb(i, i, i) for i in range(256)])
qimage.setColorCount(256)
elif color_dim == 3:
qimage = QImage(data, nx, ny, stride, QImage.Format_RGB888)
elif color_dim == 4:
qimage = QImage(data, nx, ny, stride, QImage.Format_ARGB32)
else:
raise TypeError("Invalid third axis dimension (%r)" % color_dim)
elif arr.dtype == np.uint32:
qimage = QImage(data, nx, ny, stride, QImage.Format_ARGB32)
else:
raise NotImplementedError("Unsupported array data type %r" % arr.dtype)
if copy:
return qimage.copy()
return qimage
