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TestDenseModelGUI.py
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# -*- coding: utf-8 -*-
###########################################################################
## Python code generated with wxFormBuilder (version Jun 17 2015)
## http://www.wxformbuilder.org/
##
## PLEASE DO "NOT" EDIT THIS FILE!
###########################################################################
import logging
import os
import random
import time
import numpy as np
import wx
import wx.xrc
###########################################################################
## Class MyFrame
###########################################################################
from PIL import Image
from keras.engine.saving import load_model
ImagePath = os.getcwd() + '/image/predict/'
if not os.path.exists(ImagePath):
os.makedirs(ImagePath)
# os.environ["CUDA_DEVICE_ORDER"] = "PCI_BUS_ID"
# os.environ["CUDA_VISIBLE_DEVICES"] = "0"
class MyFrame(wx.Frame):
def __init__(self, parent):
wx.Frame.__init__(self, parent, id=wx.ID_ANY, title=u"This is Test Program", pos=wx.DefaultPosition,
size=wx.Size(600, 400), style=wx.DEFAULT_FRAME_STYLE | wx.TAB_TRAVERSAL)
self.SetSizeHints(wx.DefaultSize, wx.DefaultSize)
bSizer1 = wx.BoxSizer(wx.VERTICAL)
gSizer1 = wx.GridSizer(0, 2, 0, 0)
self.localpath = os.getcwd() + '/image/test'
if not os.path.exists(self.localpath):
print('没有找到图片路径，请先运行MNISTtoPNG.py程序')
self.m_textCtrl1 = wx.TextCtrl(self, wx.ID_ANY, wx.EmptyString, wx.DefaultPosition, wx.Size(380, -1), 0)
else:
for root, dirs, files in os.walk(self.localpath):
pass
L = len(files)
i = random.randint(0, L)
# print(files[i])
randompath = self.localpath + '/' + files[i]
self.m_textCtrl1 = wx.TextCtrl(self, wx.ID_ANY, randompath, wx.DefaultPosition, wx.Size(380, -1), 0)
gSizer1.Add(self.m_textCtrl1, 0, wx.ALIGN_LEFT | wx.ALL, 5)
gSizer2 = wx.GridSizer(0, 2, 0, 0)
self.m_button1 = wx.Button(self, wx.ID_ANY, u"...", wx.DefaultPosition, wx.Size(30, -1), 0)
gSizer2.Add(self.m_button1, 0, wx.ALIGN_RIGHT | wx.ALL, 5)
self.m_button2 = wx.Button(self, wx.ID_ANY, u"识别数字", wx.DefaultPosition, wx.DefaultSize, 0)
gSizer2.Add(self.m_button2, 0, wx.ALIGN_RIGHT | wx.ALL, 5)
gSizer1.Add(gSizer2, 1, wx.ALIGN_RIGHT | wx.EXPAND, 5)
bSizer1.Add(gSizer1, 1, wx.EXPAND, 5)
self.m_staticText1 = wx.StaticText(self, wx.ID_ANY, wx.EmptyString, wx.DefaultPosition, wx.Size(600, 300),
wx.ALIGN_LEFT)
self.m_staticText1.Wrap(-1)
bSizer1.Add(self.m_staticText1, 0, wx.ALIGN_TOP | wx.ALL, 5)
self.SetSizer(bSizer1)
self.Layout()
self.Centre(wx.BOTH)
# Connect Events
self.m_button1.Bind(wx.EVT_BUTTON, self.openfile)
self.m_button2.Bind(wx.EVT_BUTTON, self.predictnumber)
def __del__(self):
pass
# Virtual event handlers, overide them in your derived class
def openfile(self, event):
wildcard = 'All files(*.*)|*.*'
dialog = wx.FileDialog(None, 'select', os.getcwd(), '', wildcard, wx.FD_OPEN)
if dialog.ShowModal() == wx.ID_OK:
self.m_textCtrl1.SetValue(dialog.GetPath())
dialog.Destroy
event.Skip()
def predictnumber(self, event):
path = self.m_textCtrl1.GetValue()
# print(path)
logging.info(path)
[check, name] = checkimage(path)
# print(check, name)
if check == 0:
log = '这个文件不存在'
print(log)
logging.warning(log)
self.m_staticText1.SetLabel(log)
elif check == 2:
log = '不是图片文件，请重试'
print(log)
logging.warning(log)
self.m_staticText1.SetLabel(log)
else:
self.m_staticText1.SetLabel(str(predict(ImagePath + name)))
event.Skip()
def checkimage(imagepath):
if not os.path.exists(ImagePath):
os.makedirs(ImagePath)
size = (28, 28)
imagename = ''
# print(imagename)
if not os.path.exists(imagepath):
return 0, imagename
else:
try:
img = Image.open(imagepath)
if img.format != 'PNG':
imagepath = imagepath.split('.')[0] + '.png'
if img.size != size:
img = img.resize(size, Image.ANTIALIAS)
imagename = os.path.split(imagepath)[1]
img.save(ImagePath + imagename)
return 1, imagename
except Exception as e:
print(e)
logging.error(e)
return 2, imagename
def predict(path=None):
t = time.asctime(time.localtime(time.time()))
print(t)
logging.info(t)
print(path)
logging.info(path)
localpath = os.getcwd()
modelpath = localpath + '/model/DenseModel.h5'
if not os.path.exists(modelpath):
log = '模型文件不存在，请检查' + modelpath + '是否存在！'
print(log)
logging.warning(log)
return log
model = load_model(modelpath)
im = Image.open(path)
im.show()
im = im.convert("L") # 转灰度
im = np.array(im) # 转矩阵
im = im / 255. # 归一化
im1 = np.ones((28, 28))
im = im1 - im # 反转
img = im.reshape(1, -1)
# print(img.shap)
# img = x_test[0].reshape(1, -1)
# print(img)
# predict = model.predict(img)
predict = model.predict_classes(img)
print(predict[0])
# print(np.argmax(predict, axis=1)[0])
# exit()
logging.info('预测结果为:' + str(predict[0]))
return predict[0]
def runGUI():
app = wx.App(False)
frame = MyFrame(None)
frame.Show(True)
# start the applications
app.MainLoop()
LOG_FORMAT = "%(asctime)s - %(levelname)s - %(message)s" # 日志格式化输出
DATE_FORMAT = "%m/%d/%Y %H:%M:%S %p" # 日期格式
fp = logging.FileHandler('./log', encoding='utf-8')
fs = logging.StreamHandler()
logging.basicConfig(level=logging.INFO, format=LOG_FORMAT, datefmt=DATE_FORMAT, handlers=[fp]) # 调用
if __name__ == '__main__':
runGUI()