def get_type(x, y):
print(x, y)
img = read_data.read_map()
if is_true(img[x][y], urban):
return 0 # rc
elif is_true(img[x][y], suburban):
return 2 # indus
elif is_true(img[x][y], agriculture):
return 4 # agri
else:
return 3 # re
# input
result = read_data.read_result()
l, _ = result.shape
color = [161, 0, 204]
color = np.array(color)
target = result[:, 4]
print(target)
target = (target - min(target)) / (max(target) - min(target))
target = [x * color for x in target]
target = np.array(target)
print(target)
target = target * 6
target = np.clip(target, 0, 255)
target = np.array(target)
img = read_data.read_map()
img_result = np.ones(img.shape) * 255
xs, ys = pix_bng.en2xy(result[:, 0], result[:, 1])
for i in range(l):
img_result[xs[i]][ys[i]] = target[i]
for xs_n in range(xs[i] - 3, xs[i] + 3):
for ys_n in range(ys[i] - 3, ys[i] + 3):
try:
img_result[xs_n][ys_n] = target[i]
except IndexError:
continue
scipy.misc.imsave(
'D:\\code\\ICM\\algorithms\\big_problem\\data\\recreation.jpg', img_result)