def run(logger, args, extra_argv=None):
import matplotlib.pyplot as plt
import matplotlib.patches as patches
img_array = np.zeros((args.iH, args.iW), dtype="i1")
fig = plt.figure()
ax = fig.add_subplot(111, aspect='equal')
ax.add_patch(patches.Rectangle((0, 0), args.iW, args.iH, alpha=IMG_ALPHA))
mx = max(1, .05 * args.iW)
my = max(1, .05 * args.iH)
ax.axis([-mx, args.iW + mx, -my, args.iH + my])
for i, j, tile in gen_tiles(img_array,
w=args.W,
h=args.H,
dx=args.x,
dy=args.y,
ox=args.offset_x,
oy=args.offset_y):
h, w = tile.shape
ax.add_patch(patches.Rectangle((j, i), w, h, alpha=TILE_ALPHA))
logger.debug("%r", (j, i, w, h))
ax.invert_yaxis()
if max(args.iW, args.iH) <= MAX_SMALL_SIZE:
ax.set_xticks(xrange(args.iW + 1))
ax.set_yticks(xrange(args.iH + 1))
ax.grid()
logger.info("writing to %r" % (args.out_fn, ))
fig.savefig(args.out_fn)
def run(logger, args, extra_argv=None):
import matplotlib.pyplot as plt
import matplotlib.patches as patches
img_array = np.zeros((args.iH, args.iW), dtype="i1")
fig = plt.figure()
ax = fig.add_subplot(111, aspect='equal')
ax.add_patch(patches.Rectangle((0, 0), args.iW, args.iH, alpha=IMG_ALPHA))
mx = max(1, .05 * args.iW)
my = max(1, .05 * args.iH)
ax.axis([-mx, args.iW + mx, -my, args.iH + my])
for i, j, tile in gen_tiles(img_array, w=args.W, h=args.H,
dx=args.x, dy=args.y,
ox=args.offset_x, oy=args.offset_y):
h, w = tile.shape
ax.add_patch(patches.Rectangle((j, i), w, h, alpha=TILE_ALPHA))
logger.debug("%r", (j, i, w, h))
ax.invert_yaxis()
if max(args.iW, args.iH) <= MAX_SMALL_SIZE:
ax.set_xticks(xrange(args.iW + 1))
ax.set_yticks(xrange(args.iH + 1))
ax.grid()
logger.info("writing to %r" % (args.out_fn,))
fig.savefig(args.out_fn)
def runTest(self):
for kwargs, slices in self.cases:
tiles = list(gen_tiles(self.a, **kwargs))
self.assertEqual(len(tiles), len(slices))
for (i, j, t), (i1, i2, j1, j2) in izip(tiles, slices):
self.assertTrue(np.array_equal(t, self.a[i1: i2, j1: j2]))
def runTest(self):
for kwargs, slices in self.cases:
tiles = list(gen_tiles(self.a, **kwargs))
self.assertEqual(len(tiles), len(slices))
for (i, j, t), (i1, i2, j1, j2) in izip(tiles, slices):
self.assertTrue(np.array_equal(t, self.a[i1: i2, j1: j2]))