def encode_PIL_Image(self, image):
# convert to numpy array
image = np.array(image)
# add channel axis if input is grayscale image
if image.ndim == 2:
image = image[..., np.newaxis]
elif image.ndim != 3:
raise ValueError("Unhandled number of channels: %d" % image.ndim)
# transpose to CHW
image = image.transpose(2, 0, 1)
return image
def encode_PIL_Image(self, image):
# convert to numpy array
image = np.array(image)
# add channel axis if input is grayscale image
if image.ndim == 2:
image = image[..., np.newaxis]
elif image.ndim != 3:
raise ValueError("Unhandled number of channels: %d" % image.ndim)
# transpose to CHW
image = image.transpose(2, 0, 1)
return image
def encode_PIL_Image(self, image):
if self.channel_conversion != 'none':
if image.mode != self.channel_conversion:
# convert to different image mode if necessary
image = image.convert(self.channel_conversion)
# convert to numpy array
image = np.array(image)
# add channel axis if input is grayscale image
if image.ndim == 2:
image = image[..., np.newaxis]
elif image.ndim != 3:
raise ValueError("Unhandled number of channels: %d" % image.ndim)
# transpose to CHW
image = image.transpose(2, 0, 1)
return image
def encode_PIL_Image(self, image, channel_conversion='none'):
if channel_conversion != 'none':
if image.mode != channel_conversion:
# convert to different image mode if necessary
image = image.convert(channel_conversion)
# convert to numpy array
image = np.array(image)
# add channel axis if input is grayscale image
if image.ndim == 2:
image = image[..., np.newaxis]
elif image.ndim != 3:
raise ValueError("Unhandled number of channels: %d" % image.ndim)
# transpose to CHW
image = image.transpose(2, 0, 1)
return image
