Python Memory Leaks

import tensorflow as tf
import numpy as np
from PIL import Image
import glob
importos

import configparser

infile=configparser.ConfigParser()
infile.read ('./config.ini', 'UTF-8-SIG')
in_image=glob.glob(inifile.get('directory','in_dir')+'/*')
in_fileName = os.listdir(inifile.get('directory','in_dir')

#<<debug>>
# print(in_image)
# print(in_fileName)
print(len(in_image))

for num in range (len(in_image)) :
    image=tf.read_file(str(in_image[num]))
    direct, filename = os.path.split(str(in_image[num]))
    name,ext=os.path.splitext(filename)

    print('direct:{}, file:{}.format(direct, filename))

    if image is None:
        print("Not Open")
        continue

    with tf.Session() asess:
        code=tf.train.Coordinator()
        threads=tf.train.start_queue_runners(code=code)
        for i in range (5):

            if int(inifile.get('format','JPG'))==1:
                tmp_img=tf.cast(tf.image.decode_jpeg(image,channels=3), tf.float32)
            elifint(inifile.get('format', 'BMP'))) == 1:
                tmp_img=tf.cast(tf.image.decode_image(image,channels=3), tf.float32)

            if int(inifile.get('data_arg_flip','flag_flip')))==1:
                tmp_img = tf.image.random_flip_left_right(tmp_img)

            if int(inifile.get('data_arg_brightnes', 'flag_brightness')))==1:
                tmp_img=tf.image.random_brightness(tmp_img,max_delta=int(inifile.get('data_arg_brightnes','max_delta'))))

            if int(inifile.get('data_arg_contrast','flag_contrast')))==1:
                tmp_img=tf.image.random_contrast(tmp_img, lower=float(inifile.get('data_arg_contrast','lower')), upper=float(inifile.get('data_arg_contrast','upper')        

            if int(inifile.get('data_arg_rot','flag_rot')))==1:
                tmp_img=tf.image.rot90(tmp_img,k=i)

            out_img = sess.run(tmp_img)
#            print(img.shape)
#            print(img)

            if int(inifile.get('format','JPG'))==1:
                Image.fromarray(np.uint8(out_img)) .save(inifile.get('directory','out_dir')+'/'+name+'_{0:03d}.jpg'.format(i))
            elifint(inifile.get('format', 'BMP'))) == 1:
                Image.fromarray(np.uint8(out_img)) .save(inifile.get('directory','out_dir')+'/'+name+'_{0:03d}.bmp'.format(i))

#file directory
directory
in_dir=./original_image
out_dir=./out_image

# data format
[format]
JPG = 0
BMP = 1

# arg_settings
[data_arg_set]
arg_num = 4

# function settings
[data_arg_flip]
flag_flip = 0

[data_arg_brightnes]
flag_brightness=1
max_delta = 1
# max —63

[data_arg_contrast]
flag_contrast=1
lower = 0.8
upper = 1.0
# min —0.1
# max: 2.0

[data_arg_rot]
flag_rot = 0