def tile_slices_to_image_uint8(X, tile_shape=None):
"""
.. todo::
WRITEME
"""
if str(X.dtype) != 'uint8':
raise TypeError(X)
if tile_shape is None:
#how many tile rows and cols
(TR, TC) = most_square_shape(X.shape[0])
H, W = X.shape[1], X.shape[2]
Hs = H + 1 #spacing between tiles
Ws = W + 1 #spacing between tiles
trows, tcols = most_square_shape(X.shape[0])
outrows = trows * Hs - 1
outcols = tcols * Ws - 1
out = numpy.zeros((outrows, outcols, 3), dtype='uint8')
tr_stride = 1 + X.shape[1]
for tr in range(trows):
for tc in range(tcols):
Xrc = X[tr * tcols + tc]
if Xrc.ndim == 2: # if no color channel make it broadcast
Xrc = Xrc[:, :, None]
#print Xrc.shape
#print out[tr*Hs:tr*Hs+H,tc*Ws:tc*Ws+W].shape
out[tr * Hs:tr * Hs + H, tc * Ws:tc * Ws + W] = Xrc
ensure_Image()
img = Image.fromarray(out, 'RGB')
return img
def tile_slices_to_image_uint8(X, tile_shape=None):
"""
.. todo::
WRITEME
"""
if str(X.dtype) != 'uint8':
raise TypeError(X)
if tile_shape is None:
#how many tile rows and cols
(TR, TC) = most_square_shape(X.shape[0])
H, W = X.shape[1], X.shape[2]
Hs = H+1 #spacing between tiles
Ws = W+1 #spacing between tiles
trows, tcols= most_square_shape(X.shape[0])
outrows = trows * Hs - 1
outcols = tcols * Ws - 1
out = numpy.zeros((outrows, outcols,3), dtype='uint8')
tr_stride= 1+X.shape[1]
for tr in range(trows):
for tc in range(tcols):
Xrc = X[tr*tcols+tc]
if Xrc.ndim==2: # if no color channel make it broadcast
Xrc=Xrc[:,:,None]
#print Xrc.shape
#print out[tr*Hs:tr*Hs+H,tc*Ws:tc*Ws+W].shape
out[tr*Hs:tr*Hs+H,tc*Ws:tc*Ws+W] = Xrc
ensure_Image()
img = Image.fromarray(out, 'RGB')
return img
def save_tiled_raster_images(tiled_img, filename):
"""Save a a return value from `tile_raster_images` to `filename`.
Returns the PIL image that was saved
"""
if tiled_img.ndim==2:
ensure_Image()
img = Image.fromarray( tiled_img, 'L')
elif tiled_img.ndim==3:
ensure_Image()
img = Image.fromarray(tiled_img, 'RGBA')
else:
raise TypeError('bad ndim', tiled_img)
img.save(filename)
return img
def get_img(self):
#print 'image range '+str((self.image.min(), self.image.max()))
x = np.cast['uint8'](self.image * 255.0)
if x.shape[2] == 1:
x = x[:, :, 0]
ensure_Image()
img = Image.fromarray(x)
return img
def get_img(self):
#print 'image range '+str((self.image.min(), self.image.max()))
x = np.cast['uint8'](self.image * 255.0)
if x.shape[2] == 1:
x = x[:, :, 0]
ensure_Image()
img = Image.fromarray(x)
return img