def confirmPush(self): angle_list = [] for p in self.selection: if self.selection[p] == 1: angle_list.append(p) homedir = os.getcwd() # filt = af.Filter(homedir) # filt.data_process() self.pbar.setValue(25) select = RandomSelector(homedir) select.dataProcess() self.pbar.setValue(50) dt = DynamicAnalyzer(homedir,angle_list) dt.dataProcess() self.pbar.setValue(75) c = Classifier(homedir) count,rate,total,result = c.dynamicClassify() self.pbar.setValue(100) reply = QtGui.QMessageBox.question(self, 'Dynamic Analysis Result',"Total number is %d"%(total)+"\nCorrect number is %d"%(count)+"\nCorrect rate is %f"%(100*rate)+"%", QtGui.QMessageBox.Yes) self.pbar.setValue(0)
def confirmPush(self): checked = self.staticRecognition.isChecked() or self.dynamicRecognition.isChecked() or self.fusionRecognition.isChecked() if not checked: reply = QtGui.QMessageBox.question(self, 'Analysis Result',"Select One", QtGui.QMessageBox.Yes) return homdir = os.getcwd() trainGaitPath = homdir+"\\Dataset\\TrainDataset\\TrainGaitDataset" if (os.path.exists(trainGaitPath)): shutil.rmtree(trainGaitPath) os.mkdir(trainGaitPath) else: os.mkdir(trainGaitPath) filterFilePath = homdir+"\\Dataset\\FilteredGaitDataset" files = os.listdir(filterFilePath) for f in files: fpath = filterFilePath + "\\"+f dstGaitPath = trainGaitPath+"\\"+f shutil.copytree(fpath,dstGaitPath) testGaitPath = homdir+"\\Dataset\\TestDataset\\TestGaitDataset" if (os.path.exists(testGaitPath)): shutil.rmtree(testGaitPath) os.mkdir(testGaitPath) else: os.mkdir(testGaitPath) exePath = "C:\Users\Niko\Documents\BodyBasics-D2D\Debug\BodyBasics-D2D " homdir = os.getcwd() outputFilePath = homdir+"\\test.txt" # outputFile = open(outputFilePath,'w') # outputFile.close() # os.system(exePath+outputFilePath) dstOutputPersonPath = homdir+"\\Dataset\\TestDataset\\TestGaitDataset\\Person001" os.mkdir(dstOutputPersonPath) dstOutputPath = dstOutputPersonPath+"\\1.txt" shutil.copy(outputFilePath,dstOutputPath) self.pbar.setValue(50) if self.staticRecognition.isChecked(): self.pbar.setValue(75) st = StaticAnalyzer(homdir,limbDescriptors) st.dataProcess() c = Classifier(homdir) count,rate,total,result = c.staticClassify() self.pbar.setValue(100) name = self.findName(result[0]) reply = QtGui.QMessageBox.question(self, 'Static Analysis Result',"This is "+name, QtGui.QMessageBox.Yes) elif self.dynamicRecognition.isChecked(): self.pbar.setValue(75) dy = DynamicAnalyzer(homdir,angleDescriptors) dy.dataProcess() c = Classifier(homdir) count,rate,total = c.dynamicClassify() self.pbar.setValue(100) reply = QtGui.QMessageBox.question(self, 'Dynamic Analysis Result',"Total number is %d"%(total)+"\nCorrect number is %d"%(count)+"\nCorrect rate is %f"%(100*rate)+"%", QtGui.QMessageBox.Yes) else: self.pbar.setValue(75) dy = DynamicAnalyzer(homdir,angleDescriptors) dy.dataProcess() st = StaticAnalyzer(homdir,limbDescriptors) st.dataProcess() c = Classifier(homdir) count,rate,total = c.fusionClassify() self.pbar.setValue(100) reply = QtGui.QMessageBox.question(self, 'Fusion Analysis Result',"Total number is %d"%(total)+"\nCorrect number is %d"%(count)+"\nCorrect rate is %f"%(100*rate)+"%", QtGui.QMessageBox.Yes)