import cv2 as cv
import numpy as np
import os
import binascii
temp_path = r'F:\python\StockAnalyzer\test\test.avi'
#img_path = r'F:\12306'
data_path = r'F:\python\data'
file_path = r'F:\python\StockAnalyzer\test'
img_path = file_path
def split_img(file, x, y):
'''
把12306图片切分，获取x,y处图片，以及图片title
:param file:
:param x:
:param y:
:return:
'''
try:
img = cv.imread(file)
img_title = img[:30, 120:270, :]
print(img_title.shape)
left = 5 + (5+68)*x
top = 36 + 5 + (5+68)*y
right = left + 68
bottom = top + 68
return img_title, img[top:bottom, left:right, :]
except Exception as e:
print(e)
return -1
def makeFile(path,file_name):
'''
根据路径path创建文件夹，根据file_name查看是否存在文件，否创建新文件
:param path:
:param file_name:
:return: 返回0创建成功，-1创建失败
'''
if not os.path.exists(path):
os.mkdirs(path)
if file_name in os.listdir(path):
print('文件名已经存在')
return 0
else:
try:
f = open(path + '\\' + file_name, 'w')
f.close()
print('文件创建成功')
print(path + '\\' + file_name)
return 0
except Exception as e:
print(repr(e))
print('文件创建失败')
return -1
def write2dat(source_list, fpath, fname):
"""
将数据列表，转为二进制写入dat文件
:param source_list: 将要写入的一维数据列表（类型整型）
:param fpath: 写入的文件路径
:param fname: 写入的文件名称
:return: -1，写入失败，0写入成功
文件格式：@开头 \n 元素序列号 \n 像素值
"""
if makeFile(fpath, fname) == -1:
print('写入失败，要写入的文件创建失败')
return -1
file_name = fpath + '\\' + fname
with open(file_name, 'a') as f:
f.write('@')
f.write(' ')
try:
for m, j in enumerate(source_list):
#f.write(hex(m)[2:].zfill(4))
#f.write(hex(m))
#f.write(' ')
f.write(hex(j)[2:].zfill(4))
#f.write(hex(j))
f.write(' ')
print('写入成功')
f.write('\n')
return 0
except:
print('写入二进制文件失败')
return -1
def cutterTitle_write2dat(img_path,data_path, dName):
for file in os.listdir(img_path):
if file.find('.png') != -1:
file_path = img_path+ '\\'+file
title, img_x_y = split_img(file_path, 3, 1)
#cv.imshow('title', title)
#cv.waitKey(0)
#cv.imshow('img', img_x_y)
#print(title[:, :, 0])
title_b = title[:, :, 0].reshape(-1)
#print(title_b)
title_g = title[:, :, 1].reshape(-1)
title_r = title[:, :, 2].reshape(-1)
merge_r_g_b = np.concatenate((title_b, title_g, title_r))
#print(merge_r_g_b.shape)
write2dat(merge_r_g_b, data_path, dName)
def cutterImg_write2dat(img_path, data_path, fname):
'''
分割12306图片并存入fname.dat
:param img_path:
:param fname:
:return: 成功返回0
'''
for file in os.listdir(img_path):
if file.find('.png') != -1:
file_path = img_path + '\\' + file
for i in range(2):
for j in range(4):
title, img_x_y = split_img(file_path, j, i) #获取12306验证码x,y处的图片
#print(img_x_y[:, :, 0])
img_x_y_b = img_x_y[:, :, 0].reshape(-1)
#print(img_x_y_b)
#print(img_x_y_b.reshape((68, 68)))
img_x_y_g = img_x_y[:, :, 1].reshape(-1)
img_x_y_r = img_x_y[:, :, 2].reshape(-1)
merge_img_r_g_b = np.concatenate((img_x_y_b, img_x_y_g, img_x_y_r))
write2dat(merge_img_r_g_b, data_path, fname)
#print(type(img_x_y[:, :, 0][0][0]))
# cv.imshow('img0', img_x_y)
# img_b = np.array(merge_img_r_g_b[0:68 * 68]).reshape((68, 68))
# # print(img_b)
# img_g = np.array(merge_img_r_g_b[68 * 68:2 * 68 * 68]).reshape((68, 68))
# img_r = np.array(merge_img_r_g_b[2 * 68 * 68:]).reshape((68, 68))
# img = np.zeros((68, 68, 3), dtype=np.uint8)
# img[:, :, 0] = img_b
# img[:, :, 1] = img_g
# img[:, :, 2] = img_r
# print('*********************************************')
# print(type(img[:, :, 0][0][0]))
# cv.imshow('img', img)
# cv.waitKey(0)
#cv.destroyAllWindows()
return 0
def decodeImg(data_img_line):
"""
解析二进制文件存储的图片，解析后并返回图片列表
:param data_img_line: dat文件每行存储一张图片，图片以'@'开头，图片大小68,68
:return:
"""
line = data_img_line
pix = line.split(' ')[1:-1]
#print(pix)
pix10 = [int(i.upper(), 16) for i in pix]
#print(pix10)
#print(len(pix10))
try:
img_b = np.array(pix10[0:68*68]).reshape((68, 68))
#print(img_b)
img_g = np.array(pix10[68*68:2*68*68]).reshape((68, 68))
img_r = np.array(pix10[2*68*68:]).reshape((68, 68))
img = np.zeros((68, 68, 3), dtype=np.uint8)
img[:, :, 0] = img_b
img[:, :, 1] = img_g
img[:, :, 2] = img_r
return img
except Exception as e:
print(e)
return None
def decodeTitleImg(title_img_line):
"""
解析二进制存储的验证码的标题，并返回图片
:param title_img_line:
:return:
"""
line = title_img_line
pix = line.split(' ')[1:-1]
#print(pix)
pix10 = [int(i.upper(), 16) for i in pix]
print(pix10)
print(len(pix10))
try:
img_b = np.array(pix10[0:30*150]).reshape((30, 150))
#print(img_b)
img_g = np.array(pix10[30*150:2*30*150]).reshape((30, 150))
img_r = np.array(pix10[2*30*150:]).reshape((30, 150))
img = np.zeros((30, 150, 3), dtype=np.uint8)
img[:, :, 0] = img_b
img[:, :, 1] = img_g
img[:, :, 2] = img_r
return img
except Exception as e:
print(e)
return None
#np.set_printoptions(threshold=np.inf)
#cutterImg_write2dat(file_path, data_path, '12306img' + '.dat')
def test(fname):
"""
测试相关功能
:param fname:
:return:
"""
with open(fname) as f:
print('打开文件成功')
for line in f.readlines():
#print('******')
img = decodeTitleImg(line)
cv.imshow('img', img)
cv.waitKey(0)
cv.destroyAllWindows()
if __name__ == '__main__':
print('**************')
#cutterImg_write2dat(img_path, data_path, '12306img' + '.dat')
#cutterTitle_write2dat(img_path,data_path,'12306titleImg' + '.dat')
fname = data_path + '\\' + '12306img.dat'
title_fname = data_path + '\\' + '12306titleImg.dat'
print(fname)
#test(fname)
test(title_fname)
解析图片是遇到的坑：
numpy 创建列表是默认float64位，导致解析图片是处异常，必须将元素转为unit8
