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