def np_to_imagebuf(cls, img_pixels: np.array):
""" Load a numpy array 8/32bit to oiio ImageBuf """
if len(img_pixels.shape) < 3:
LOGGER.error(
'Can not create image with pixel data in this shape. Expecting 4 channels(RGBA).'
)
return
h, w, c = img_pixels.shape
img_spec = ImageSpec(w, h, c,
cls.get_numpy_oiio_img_format(img_pixels))
img_buf = ImageBuf(img_spec)
img_buf.set_pixels(img_spec.roi_full, img_pixels)
return img_buf
def OIIOImageBufferFromOpenCVImageBuffer(opencvImageBuffer):
(height, width, channels) = opencvImageBuffer.shape
npChanneltype = opencvImageBuffer.dtype
#print( "OIIOImageBufferFromOpenCVImageBuffer", width, height, channels, npChanneltype )
npToArrayBitDepth = {
np.dtype('uint8') : 'B',
np.dtype('uint16') : 'H',
np.dtype('uint32') : 'I',
np.dtype('float32') : 'f',
np.dtype('float64') : 'd',
}
npToOIIOBitDepth = {
np.dtype('uint8') : oiio.BASETYPE.UINT8,
np.dtype('uint16') : oiio.BASETYPE.UINT16,
np.dtype('uint32') : oiio.BASETYPE.UINT32,
np.dtype('float32') : oiio.BASETYPE.FLOAT,
np.dtype('float64') : oiio.BASETYPE.DOUBLE,
}
# Support this when oiio more directly integrates with numpy
# np.dtype('float16') : oiio.BASETYPE.HALF,
if (npChanneltype in npToArrayBitDepth and
npChanneltype in npToOIIOBitDepth):
arrayChannelType = npToArrayBitDepth[npChanneltype]
oiioChanneltype = npToOIIOBitDepth[npChanneltype]
else:
print( "opencv to oiio - Using fallback bit depth" )
arrayChannelType = 'f'
oiioChanneltype = oiio.BASETYPE.FLOAT
spec = ImageSpec(width, height, channels, oiioChanneltype)
oiioImageBuffer = ImageBuf(spec)
roi = oiio.ROI(0, width, 0, height, 0, 1, 0, channels)
conversion = oiioImageBuffer.set_pixels( roi, array.array(arrayChannelType, opencvImageBuffer.flatten()) )
if not conversion:
print( "opencv to oiio - Error converting the OpenCV buffer to an OpenImageIO buffer" )
oiioImageBuffer = None
return oiioImageBuffer