region_ids = [int(x) for x in map_string.split("_")]
print(region_ids)
fn = 'binary_arrays/' + str(region_ids[0]) + '.txt'
with open(fn, 'r') as bits:
bits_string = bits.read()
map_bin = BitArray(bin=bits_string)
all_or = map_bin
for i in region_ids:
fn = 'binary_arrays/' + str(i) + '.txt'
with open(fn, 'r') as bits:
bits_string = bits.read()
bit_array = BitArray(bin=bits_string)
all_or = all_or | bit_array
print(all_or.count("1"))
bit_array = [int(x) for x in list(str(all_or.bin))]
bit_array = np.array(bit_array) * 255
tensor = bit_array.astype(np.uint8)
tensor = tf.reshape(tensor, [353, 546, 1])
output_image = tf.image.encode_png(tensor)
init_op = tf.initialize_all_variables()
#save the output
f = open("map_maker/" + "final_" + map_string + ".png", "wb+")
f.write(output_image.eval())
f.close()
