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recognition.py
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recognition.py
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# -*- coding: utf-8 -*-
"""
Created on Sat Aug 13 18:51:43 2016
@author: Administrator
"""
import os
import cv2
import numpy as np
import pandas as pd
from character.gray import Pre_treat
from character.gray import header
zero_data_height_start = 167
zero_data_height_end = 1002
two_flt_width_start = 124
two_flt_width_end = 337
two_plan_lanch_start = 805
two_plan_lanch_end = 860
two_index_start = 3
two_index_end = 43
line_plane_number_start = 93
line_plane_number_end = 132
line_flt_number_start = 1
line_flt_number_end = 60
line_stand_start = 179
line_stand_end = 208
line_data_plan_arrive_start = 9
line_data_plan_arrive_end = 48
character_width = 9
class Recognise(object):
def __init__(self):
train_main_path = 'train_data'
train_version_path = '2016-08-17_08-26'
self.dir_path = os.path.join(train_main_path, train_version_path)
def get_train_path(self):
train_main_path = 'train_data'
train_version_path = '2016-08-13 18-39'
dir_path = os.path.join(train_main_path, train_version_path)
return dir_path
def load_data(self, dir_path):
list_img = []
list_digits_target = []
recognition_dict = {}
for digit_name in os.listdir(dir_path):
digit_path = os.path.join(dir_path, digit_name)
img = cv2.imread(digit_path)
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
gray_one = gray.reshape(-1)
list_gray_one = gray_one.tolist()
str_gray_one = str(list_gray_one)
list_img.append(str_gray_one)
list_digits_target.append(digit_name[-5:-4])
recognition_dict[str_gray_one] = digit_name[-5:-4]
return recognition_dict
def np_to_digit(self, line, start, end):
recg_dict = self.load_data(self.dir_path)
str_data = ''
for j in range(start, end,character_width+1):
Character = line[:, j: j+character_width+1]
#cv2.imshow("Character_1", Character_1)
#cv2.waitKey(0)
if Character.sum()<>0:
Character_one = Character.reshape(-1)
list_Character_one = Character_one.tolist()
str_Character_one = str(list_Character_one)
str_data = str_data + recg_dict[str_Character_one]
return str_data
if __name__ == '__main__':
train_path = Recognise().get_train_path()
recognition_dict = Recognise().load_data(train_path)
character_list = []
img_dir = "multi_img"
#img_dir = "single_img"
list_flt_data = []
for img_file in os.listdir(img_dir):
img_path = os.path.join(img_dir, img_file)
print img_path
#最原始的图
img = cv2.imread(img_path)
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
# 计算预达、变更到达的序号
plan_arrive_start = header().plan_arrive_start(gray)
#含航班数据的图
thresh_img, data_gray_img = Pre_treat().get_data_thresh_img(img_path)
img_thresh_flt = thresh_img[:, two_flt_width_start:two_flt_width_end + 1]
img_thresh_plan_arrive = thresh_img[:, plan_arrive_start:plan_arrive_start+44]
data_flt = data_gray_img[:, two_flt_width_start:two_flt_width_end + 1]
data_plan_arrive = data_gray_img[:, plan_arrive_start:plan_arrive_start+44]
#避免边缘的锯齿,缩小边缘
img_index = thresh_img[:, two_index_start:two_index_end +1]
y_start_list, y_end_list, x_start_list, x_end_list = \
Pre_treat().y_x_border_list(img_index)
y_start_list, y_end_list = \
Pre_treat().del_surplus_y_line(y_start_list, y_end_list)
#加入第一行蓝色区域
y_start_list.insert(0, 7)
y_end_list.insert(0, 19)
#对第一行蓝色区域进行反色处理
ret,thresh_img[7-3:19+1+3,:] = cv2.threshold(thresh_img[7-3:19+1+3,:],254,255,cv2.THRESH_BINARY_INV)
for i in range(len(y_start_list)):
line = img_thresh_flt[y_start_list[i]-3:y_end_list[i]+1+3,:]
line_thresh_arrive = img_thresh_plan_arrive[y_start_list[i]-3:y_end_list[i]+1+3,:]
line_color = data_flt[y_start_list[i]-3:y_end_list[i]+1+3,:]
line_data_plan_arrive = \
data_plan_arrive[y_start_list[i]-3:y_end_list[i]+1+3,:]
line_merge = np.hstack((line_color, line_data_plan_arrive))
str_flt_number = Recognise().np_to_digit(recognition_dict,
line,
line_flt_number_start,
line_flt_number_end + 1)
str_plane_number = Recognise().np_to_digit(recognition_dict,
line,
line_plane_number_start,
line_plane_number_end + 1)
str_stand_number =Recognise().np_to_digit(recognition_dict,
line,
line_stand_start,
line_stand_end + 1)
str_plan_arrive_number = Recognise().np_to_digit(recognition_dict,
line_thresh_arrive,
0,
39 + 1)
list_flt_data.append([str_flt_number,
str_plane_number,
str_stand_number,
str_plan_arrive_number])
print str_flt_number, str_plane_number, str_stand_number, str_plan_arrive_number
df_flt_data = pd.DataFrame(list_flt_data)
df_flt_data.to_csv(u'航班号_机号_机位.csv', encoding= 'utf-8', header=False, index=False)
df_flt_data.to_excel(u'航班号_机号_机位.xlsx', encoding= 'utf-8', header=False, index=False)