Face++APIの処理をフォルダ内の画像すべてに行えるようにしたい

# coding: utf-8
import os
import sys
import csv
import pandas as pd
sys.path.append(os.path.dirname(os.path.dirname(os.path.dirname(os.path.abspath(__file__)))))
sys.path.append('E:/facepp-python-demo-master/facepp-python-demo-master/example/detect/images/images01/')
import requests
from config import API_KEY, API_SECRET, DETECT_PATH ,ANALYZE_PATH
from example.common import get_input_file_path
from example.common2 import get_image_file_path
import cv2
import codecs

return_landmark = 0
return_attributes = None
#calculate_all = 0
face_rectangle = ''
beauty_score_min = 0
beauty_score_max = 100

def call_api():
    data = {
        'api_key': API_KEY,
        'api_secret': API_SECRET,
        'return_landmark': 1,
        'return_attributes': 'gender,age,emotion'
        #'calculate_all': calculate_all,
        #'beauty_score_min': beauty_score_min,
        #'beauty_score_max': beauty_score_max
    }

    data_dir_path = u"E:/facepp-python-demo-master/facepp-python-demo-master/example/detect/images/images01"
    file_list = os.listdir(r'E:/facepp-python-demo-master/facepp-python-demo-master/example/detect/images/images01')


#この内部の処理がうまくいっていない
 ##################################################   


    for f in file_list:
        print(file_list)
        #root, ext = os.path.splitext(f)
        #if ext in ('.png', '.jpeg', '.jpg'):
            #abs_name = data_dir_path +'/' + f
            #image = cv2.imread(abs_name)
            #以下各画像に対する処理を記載する
        if face_rectangle:
            data.update({'face_rectangle': face_rectangle})
        input_file = get_input_file_path(os.path.abspath(os.path.dirname(__file__)), f)
        #input_file = get_image_file_path("E:/facepp-python-demo-master/facepp-python-demo-master/example/detect/images/images01",f)
        files = {
            'image_file': open(f, 'rb').read()
        }
        resp = requests.post(DETECT_PATH, data=data, files=files).json()

    with open('emotion.csv','w') as csv_file:
        writer = csv.writer(csv_file)
        for key, value in resp.items():
            writer.writerows(resp)
    (pd.DataFrame.from_dict(data=resp,orient='index').to_csv('emotion_csv',header=False))
    osp = resp['faces']
    df = pd.io.json.json_normalize(osp)
    print(df)
    df.to_csv('emotion2_csv')
    #input_file = get_input_file_path(os.path.abspath(os.path.dirname(__file__)), 'input')
        #if not face_rectangle:
            #print('请将input.png/input.jpg文件放在detect目录下')
            #return
        #if not ext in ('.png', '.jpeg', '.jpg'):
            #print("終了")
    #(pd.DataFrame.from_dict(data=osp, orient='index').to_csv('emotion2_csv', header=False))
    #print(resp['faces'])

################################################


if __name__ == "__main__":
    call_api()