#!/usr/bin/env python
# -*- coding:utf-8 -*-
'''
@time: 2017/4/17 14:42
@author: Silence
'''
# import cv2
#
# SCALE_FACTOR = 0.1
#
# img = cv2.imread(r'C:\Users\Silance\Desktop\1-1 ts_s_zoom_gray_his_s.png',cv2.IMREAD_COLOR)
# im = cv2.resize(img, (int(img.shape[1] * SCALE_FACTOR),
#                          int(img.shape[0] * SCALE_FACTOR)))
# print im.shape[0],im.shape[1]
# flow = cv2.imencode('.png',img)

# print flow
# from flask import Flask
# app = Flask(__name__)
#
# @app.route("/")
# def hello():
#     return "Hello World!"
#
# if __name__ == "__main__":
#     app.run(host='0.0.0.0', port=5001)

# li = []
# str = 'XYZ'
# a =  bytearray(str)
# print a
# for i in a:
#     li.append(i)
#
# print li

import cv2
import tool_output_landmarks_image
import datetime

# img = cv2.imread(r'C:\Users\Silance\Desktop\18801248304_20170419134504.png',cv2.IMREAD_COLOR)
path = r'C:\Users\Silance\Desktop\18801248304_20170419134504.png'
save = r'C:\Users\Silance\Desktop\save\18801248304_20170419134504.png'
img,landmarks = tool_output_landmarks_image.read_im_and_landmarks(path)
fuseimg = tool_output_landmarks_image.annote_landmarks(img,landmarks)

# a,b = path.split('.')
# print a,b
# if b=='png':
#     cv2.imwrite(save,fuseimg,[int(cv2.IMWRITE_PNG_COMPRESSION), 12])
# else:
cv2.imwrite('1.jpg',fuseimg,[int(cv2.IMWRITE_JPEG_QUALITY), 50])