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ssq_data.py
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ssq_data.py
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import tensorflow as tf
# import matplotlib.pyplot as plt
from collections import OrderedDict
import math
from pyexcel_xls import get_data
from pyexcel_xls import save_data
import numpy as np
import cv2
from PIL import Image
import os
def get_exl_data_v2(exl_path='./ssq.xls',random_order=False,use_resnet=False):
ssq_data=[]
xls_data = get_data(exl_path)
# print(type(xls_data))
if use_resnet:
if random_order:
for i in range(2, len(xls_data['data'])):
# print(type(xls_data['data'][i][2]))
# aaaa=xls_data['data'][i][2]
if xls_data['data'][i] == []:
break
temp = np.asarray([[
[xls_data['data'][i][9]-1],
[xls_data['data'][i][10]-1],
[xls_data['data'][i][11]-1],
[xls_data['data'][i][12]-1],
[xls_data['data'][i][13]-1],
[xls_data['data'][i][14]-1],
[xls_data['data'][i][8]+32],
[xls_data['data'][i][17]/10000000],
[xls_data['data'][i][19]/10000000],
[xls_data['data'][i][21]/10000000],
[xls_data['data'][i][23] / 10000000],
[xls_data['data'][i][25] / 10000000],
[xls_data['data'][i][27] / 10000000]
]])
# print(temp.shape)
#
ssq_data.append(temp)
else:
for i in range(2, len(xls_data['data'])):
# print(type(xls_data['data'][i][2]))
# aaaa=xls_data['data'][i][2]
if xls_data['data'][i] == []:
break
temp = np.asarray([[
[xls_data['data'][i][2]-1],
[xls_data['data'][i][3]-1],
[xls_data['data'][i][4]-1],
[xls_data['data'][i][5]-1],
[xls_data['data'][i][6]-1],
[xls_data['data'][i][7]-1],
[xls_data['data'][i][8] + 33],
[xls_data['data'][i][17]/10000000],
[xls_data['data'][i][19]/10000000],
[xls_data['data'][i][21]/10000000],
[xls_data['data'][i][23] / 10000000],
[xls_data['data'][i][25] / 10000000],
[xls_data['data'][i][27] / 10000000]]])
ssq_data.append(temp)
return ssq_data
if random_order:
for i in range(2, len(xls_data['data'])):
# print(type(xls_data['data'][i][2]))
# aaaa=xls_data['data'][i][2]
if xls_data['data'][i] == []:
break
temp = np.asarray([
xls_data['data'][i][9]-1,
xls_data['data'][i][10]-1,
xls_data['data'][i][11]-1,
xls_data['data'][i][12]-1,
xls_data['data'][i][13]-1,
xls_data['data'][i][14]-1,
xls_data['data'][i][8] +32])
ssq_data.append(temp)
else:
for i in range(2, len(xls_data['data'])):
# print(type(xls_data['data'][i][2]))
# aaaa=xls_data['data'][i][2]
if xls_data['data'][i] == []:
break
temp = np.asarray([
xls_data['data'][i][2]-1,
xls_data['data'][i][3]-1,
xls_data['data'][i][4]-1,
xls_data['data'][i][5]-1,
xls_data['data'][i][6]-1,
xls_data['data'][i][7]-1,
xls_data['data'][i][8] +32])
ssq_data.append(temp)
return ssq_data
def get_exl_data_by_period(exl_path='./ssq.xls',random_order=False,use_resnet=False,times=10):
ssq_data = []
xls_data = get_data(exl_path)
# print(type(xls_data))
if use_resnet:
if random_order:
for i in range(2, len(xls_data['data'])-times):
# print(type(xls_data['data'][i][2]))
# aaaa=xls_data['data'][i][2]
if xls_data['data'][i] == [] or xls_data['data'][i+times] == []:
break
temp=[]
for j in range(times):
temp.append([
[xls_data['data'][i+j][9] - 1],
[xls_data['data'][i+j][10] - 1],
[xls_data['data'][i+j][11] - 1],
[xls_data['data'][i+j][12] - 1],
[xls_data['data'][i+j][13] - 1],
[xls_data['data'][i+j][14] - 1],
[xls_data['data'][i+j][8] + 32],
[xls_data['data'][i+j][15] / 10000000000],
[xls_data['data'][i+j][16] / 10000000000],
[xls_data['data'][i+j][17] / 10000000],
[xls_data['data'][i+j][19] / 10000000],
[xls_data['data'][i+j][21] / 10000000],
[xls_data['data'][i+j][23] / 10000000],
[xls_data['data'][i+j][25] / 10000000],
[xls_data['data'][i+j][27] / 10000000]
])
# print(temp.shape)
#
ssq_data.append(np.asarray(temp))
else:
for i in range(2, len(xls_data['data'])-times):
# print(type(xls_data['data'][i][2]))
# aaaa=xls_data['data'][i][2]
if xls_data['data'][i] == [] or xls_data['data'][i+times] == []:
break
temp=[]
for j in range(times):
temp.append([
[xls_data['data'][i+j][2] - 1],
[xls_data['data'][i+j][3] - 1],
[xls_data['data'][i+j][3] - 1],
[xls_data['data'][i+j][5] - 1],
[xls_data['data'][i+j][6] - 1],
[xls_data['data'][i+j][7] - 1],
[xls_data['data'][i+j][8] + 32],
[xls_data['data'][i+j][15] / 10000000000],
[xls_data['data'][i+j][16] / 10000000000],
[xls_data['data'][i+j][17] / 10000000],
[xls_data['data'][i+j][19] / 10000000],
[xls_data['data'][i+j][21] / 10000000],
[xls_data['data'][i+j][23] / 10000000],
[xls_data['data'][i+j][25] / 10000000],
[xls_data['data'][i+j][27] / 10000000]
])
ssq_data.append(np.asarray(temp))
return ssq_data
if random_order:
for i in range(2, len(xls_data['data'])):
# print(type(xls_data['data'][i][2]))
# aaaa=xls_data['data'][i][2]
if xls_data['data'][i] == []:
break
temp = np.asarray([
xls_data['data'][i][9] - 1,
xls_data['data'][i][10] - 1,
xls_data['data'][i][11] - 1,
xls_data['data'][i][12] - 1,
xls_data['data'][i][13] - 1,
xls_data['data'][i][14] - 1,
xls_data['data'][i][8] + 32])
ssq_data.append(temp)
else:
for i in range(2, len(xls_data['data'])):
# print(type(xls_data['data'][i][2]))
# aaaa=xls_data['data'][i][2]
if xls_data['data'][i] == []:
break
temp = np.asarray([
xls_data['data'][i][2] - 1,
xls_data['data'][i][3] - 1,
xls_data['data'][i][4] - 1,
xls_data['data'][i][5] - 1,
xls_data['data'][i][6] - 1,
xls_data['data'][i][7] - 1,
xls_data['data'][i][8] + 32])
ssq_data.append(temp)
return ssq_data
def get_red(exl_path='./ssq.xls', random_order=False):
ssq_data=[]
xls_data = get_data(exl_path)
# print(type(xls_data))
if random_order:
for i in range(2, len(xls_data['data'])):
# print(type(xls_data['data'][i][2]))
# aaaa=xls_data['data'][i][2]
temp = np.asarray([
xls_data['data'][i][9]-1,
xls_data['data'][i][10]-1,
xls_data['data'][i][11]-1,
xls_data['data'][i][12]-1,
xls_data['data'][i][13]-1,
xls_data['data'][i][14]-1])
ssq_data.append(temp)
else:
for i in range(2, len(xls_data['data'])):
# print(type(xls_data['data'][i][2]))
# aaaa=xls_data['data'][i][2]
temp = np.asarray([
xls_data['data'][i][2] - 1,
xls_data['data'][i][3] - 1,
xls_data['data'][i][4] - 1,
xls_data['data'][i][5] - 1,
xls_data['data'][i][6] - 1,
xls_data['data'][i][7] - 1])
ssq_data.append(temp)
return ssq_data
def get_blue(exl_path='./ssq.xls',use_resnet=False):
ssq_data=[]
xls_data = get_data(exl_path)
if use_resnet:
for i in range(2, len(xls_data['data'])):
# print(type(xls_data['data'][i][2]))
# aaaa=xls_data['data'][i][2]
temp = np.asarray([[[
xls_data['data'][i][8] - 1]]])
ssq_data.append(temp)
else:
for i in range(2, len(xls_data['data'])):
# print(type(xls_data['data'][i][2]))
# aaaa=xls_data['data'][i][2]
temp = np.asarray([
xls_data['data'][i][8]-1])
ssq_data.append(temp)
return ssq_data
def get_red161(exl_path='./ssq.xls',use_resnet=True):
ssq_data=[]
xls_data = get_data(exl_path)
# print(type(xls_data))
if use_resnet:
for i in range(2, len(xls_data['data'])):
# print(type(xls_data['data'][i][2]))
# aaaa=xls_data['data'][i][2]
temp = np.asarray([[
[xls_data['data'][i][9]],
[xls_data['data'][i][10]],
[xls_data['data'][i][11]],
[xls_data['data'][i][12]],
[xls_data['data'][i][13]],
[xls_data['data'][i][14]]]])
# print(temp.shape)
#
ssq_data.append(temp)
return ssq_data
def get_exl_data(exl_path='./ssq.xls',random_order=False,use_resnet=False):
ssq_data=[]
xls_data = get_data(exl_path)
# print(type(xls_data))
if use_resnet:
if random_order:
for i in range(2, len(xls_data['data'])):
# print(type(xls_data['data'][i][2]))
# aaaa=xls_data['data'][i][2]
if xls_data['data'][i] == []:
break
temp = np.asarray([[
[xls_data['data'][i][9]-1],
[xls_data['data'][i][10]-1],
[xls_data['data'][i][11]-1],
[xls_data['data'][i][12]-1],
[xls_data['data'][i][13]-1],
[xls_data['data'][i][14]-1],
[xls_data['data'][i][8]+32]]])
# print(temp.shape)
#
ssq_data.append(temp)
else:
for i in range(2, len(xls_data['data'])):
# print(type(xls_data['data'][i][2]))
# aaaa=xls_data['data'][i][2]
if xls_data['data'][i] == []:
break
temp = np.asarray([[
[xls_data['data'][i][2] - 1],
[xls_data['data'][i][3] - 1],
[xls_data['data'][i][4] - 1],
[xls_data['data'][i][5] - 1],
[xls_data['data'][i][6] - 1],
[xls_data['data'][i][7] - 1],
[xls_data['data'][i][8] + 32]]])
ssq_data.append(temp)
return ssq_data
if random_order:
for i in range(2, len(xls_data['data'])):
# print(type(xls_data['data'][i][2]))
# aaaa=xls_data['data'][i][2]
if xls_data['data'][i] == []:
break
temp = np.asarray([
xls_data['data'][i][9]-1,
xls_data['data'][i][10]-1,
xls_data['data'][i][11]-1,
xls_data['data'][i][12]-1,
xls_data['data'][i][13]-1,
xls_data['data'][i][14]-1,
xls_data['data'][i][8] +32])
ssq_data.append(temp)
else:
for i in range(2, len(xls_data['data'])):
# print(type(xls_data['data'][i][2]))
# aaaa=xls_data['data'][i][2]
if xls_data['data'][i] == []:
break
temp = np.asarray([
xls_data['data'][i][2] - 1,
xls_data['data'][i][3] - 1,
xls_data['data'][i][4] - 1,
xls_data['data'][i][5] - 1,
xls_data['data'][i][6] - 1,
xls_data['data'][i][7] - 1,
xls_data['data'][i][8] +32])
ssq_data.append(temp)
return ssq_data
def get_dlt_data(exl_path='./dlt.xls',random_order=False,use_resnet=False):
ssq_data=[]
xls_data = get_data(exl_path)
# print(type(xls_data))
if use_resnet:
if random_order:
for i in range(2, len(xls_data['data'])):
# print(type(xls_data['data'][i][2]))
# aaaa=xls_data['data'][i][2]
if xls_data['data'][i] == []:
break
temp = np.asarray([[
[xls_data['data'][i][9]-1],
[xls_data['data'][i][10]-1],
[xls_data['data'][i][11]-1],
[xls_data['data'][i][12]-1],
[xls_data['data'][i][13]-1],
[xls_data['data'][i][14]-1],
[xls_data['data'][i][8]+32]]])
# print(temp.shape)
#
ssq_data.append(temp)
else:
for i in range(2, len(xls_data['data'])):
# print(type(xls_data['data'][i][2]))
# aaaa=xls_data['data'][i][2]
if xls_data['data'][i] == []:
break
temp = np.asarray([[
[xls_data['data'][i][2] - 1],
[xls_data['data'][i][3] - 1],
[xls_data['data'][i][4] - 1],
[xls_data['data'][i][5] - 1],
[xls_data['data'][i][6] - 1],
[xls_data['data'][i][7] - 1],
[xls_data['data'][i][8] + 32]]])
ssq_data.append(temp)
return ssq_data
if random_order:
for i in range(2, len(xls_data['data'])):
# print(type(xls_data['data'][i][2]))
# aaaa=xls_data['data'][i][2]
if xls_data['data'][i] == []:
break
temp = np.asarray([
xls_data['data'][i][9]-1,
xls_data['data'][i][10]-1,
xls_data['data'][i][11]-1,
xls_data['data'][i][12]-1,
xls_data['data'][i][13]-1,
xls_data['data'][i][14]-1,
xls_data['data'][i][8] +32])
ssq_data.append(temp)
else:
for i in range(2, len(xls_data['data'])):
# print(type(xls_data['data'][i][2]))
# aaaa=xls_data['data'][i][2]
if xls_data['data'][i] == []:
break
temp = np.asarray([
xls_data['data'][i][2] - 1,
xls_data['data'][i][3] - 1,
xls_data['data'][i][4] - 1,
xls_data['data'][i][5] - 1,
xls_data['data'][i][6] - 1,
xls_data['data'][i][7] - 1,
xls_data['data'][i][8] +32])
ssq_data.append(temp)
return ssq_data
def get_dlt_data(exl_path='./dlt2.xls',random_order=False,use_resnet=False):
ssq_data=[]
xls_data = get_data(exl_path)
# print(type(xls_data))
if use_resnet:
if random_order:
for i in range(2, len(xls_data['data'])):
# print(type(xls_data['data'][i][2]))
# aaaa=xls_data['data'][i][2]
if xls_data['data'][i] == []:
break
temp = np.asarray([[
[xls_data['data'][i][9]-1],
[xls_data['data'][i][10]-1],
[xls_data['data'][i][11]-1],
[xls_data['data'][i][12]-1],
[xls_data['data'][i][13]-1],
[xls_data['data'][i][14]+34],
[xls_data['data'][i][15]+34]]])
# print(temp.shape)
#
ssq_data.append(temp)
else:
for i in range(2, len(xls_data['data'])):
# print(type(xls_data['data'][i][2]))
# aaaa=xls_data['data'][i][2]
if xls_data['data'][i] == []:
break
temp = np.asarray([[
[xls_data['data'][i][2] - 1],
[xls_data['data'][i][3] - 1],
[xls_data['data'][i][4] - 1],
[xls_data['data'][i][5] - 1],
[xls_data['data'][i][6] - 1],
[xls_data['data'][i][7] + 34 ],
[xls_data['data'][i][8] + 34]]])
ssq_data.append(temp)
return ssq_data
if random_order:
for i in range(2, len(xls_data['data'])):
# print(type(xls_data['data'][i][2]))
# aaaa=xls_data['data'][i][2]
if xls_data['data'][i] == []:
break
temp = np.asarray([
xls_data['data'][i][9]-1,
xls_data['data'][i][10]-1,
xls_data['data'][i][11]-1,
xls_data['data'][i][12]-1,
xls_data['data'][i][13]-1,
xls_data['data'][i][14] + 34,
xls_data['data'][i][15] + 34])
ssq_data.append(temp)
else:
for i in range(2, len(xls_data['data'])):
# print(type(xls_data['data'][i][2]))
# aaaa=xls_data['data'][i][2]
if xls_data['data'][i] == []:
break
temp = np.asarray([
xls_data['data'][i][2] - 1,
xls_data['data'][i][3] - 1,
xls_data['data'][i][4] - 1,
xls_data['data'][i][5] - 1,
xls_data['data'][i][6] - 1,
xls_data['data'][i][7] + 34,
xls_data['data'][i][8] + 34])
ssq_data.append(temp)
return ssq_data