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Created May 10, 2016 21:57
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Image tiler
#!/bin/python2
import numpy as np
from tiler import ImageTiler
w = 7
h = 9
data = np.arange(0, w*h).reshape((h, w))
print data
ts = 5
ovrl = 2
tiles = ImageTiler(data, (ts, ts), ovrl)
print tiles.nx, tiles.ny
for tile, x, y in tiles:
print tile, x, y
test_data = data[y:y+tile.shape[0], x:x+tile.shape[1]]
s = np.sum(np.abs(test_data[:] - tile[:]))
assert s == 0
#!/bin/python2
import numpy as np
class ImageTiler:
def __init__(self, data, tile_size=(256, 256), overlapping=64):
assert isinstance(data, np.ndarray), "Data should be a numpy array"
assert 2*overlapping < min(tile_size[0], tile_size[1]), "2 * Overlapping should be less than tile size"
self.data = data
self.tile_size = tile_size
self.overlapping = overlapping
self.nx = ImageTiler._compute_nb_tiles(data.shape[1], tile_size[0], overlapping)
self.ny = ImageTiler._compute_nb_tiles(data.shape[0], tile_size[1], overlapping)
self._index = 0
self._maxIndex = self.nx * self.ny
@staticmethod
def _compute_nb_tiles(image_size, tile_size, overlapping):
return int(np.ceil((image_size + overlapping)*1.0/(tile_size - overlapping)))
def __iter__(self):
return self
def next(self):
if self._index < 0 or self._index >= self._maxIndex:
raise StopIteration()
image_width = self.data.shape[1]
image_height = self.data.shape[0]
x_tile_index = self._index % self.nx
y_tile_index = int(np.floor(self._index * 1.0 / self.nx))
x = x_tile_index * (self.tile_size[0] - self.overlapping) - self.overlapping
y = y_tile_index * (self.tile_size[1] - self.overlapping) - self.overlapping
x_tile_size = self.tile_size[0] if x + self.tile_size[0] <= image_width else image_width - x
if x_tile_index == 0:
x = 0
x_tile_size = self.tile_size[0] - self.overlapping
y_tile_size = self.tile_size[1] if y + self.tile_size[1] <= image_height else image_height - y
if y_tile_index == 0:
y = 0
y_tile_size = self.tile_size[0] - self.overlapping
extent = [x, y, x_tile_size, y_tile_size]
data = self.data[extent[1]:extent[1]+extent[3], extent[0]:extent[0]+extent[2]]
# print "{}, ({}, {}) | extent={}".format(self._index, x_tile_index, y_tile_index, extent)
self._index += 1
return data, x, y
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