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predict_gui.py
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predict_gui.py
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import os
from PyQt5 import QtWidgets
from PyQt5.QtWidgets import *
from PyQt5.QtCore import *
from PyQt5.QtGui import *
import utils.gui as ui
from utils.gui import Ui_MainWindow
from utils.predict import *
import time
class Main(QtWidgets.QMainWindow):
def __init__(self):
super(Main, self).__init__()
self.ui = Ui_MainWindow()
self.ui.setupUi(self)
self.ui.pushButton.clicked.connect(self.choose_sequense)
self.ui.horizontalSlider.valueChanged.connect(self.change_img)
self.ui.pushButton_2.clicked.connect(self.run)
def choose_sequense(self):
global directory
directory = QFileDialog.getExistingDirectory(self,"選取資料夾","./")
DIR = directory + "/T1"
count = len([name for name in os.listdir(DIR) if os.path.isfile(os.path.join(DIR, name))])
self.ui.label_3.setText("1 / %s" % count)
self.ui.horizontalSlider.setMinimum(1)
self.ui.horizontalSlider.setMaximum(count)
self.ui.horizontalSlider.setValue(1)
pixmapT1 = QPixmap (directory + "/T1/0.jpg")
self.ui.label_4.setPixmap(pixmapT1)
self.ui.label_4.setScaledContents (True)
pixmapT2 = QPixmap (directory + "/T2/0.jpg")
self.ui.label_5.setPixmap(pixmapT2)
self.ui.label_5.setScaledContents (True)
pixmapCT = QPixmap (directory + "/CT/0.jpg")
self.ui.label_7.setPixmap(pixmapCT)
self.ui.label_7.setScaledContents (True)
pixmapFT = QPixmap (directory + "/FT/0.jpg")
self.ui.label_8.setPixmap(pixmapFT)
self.ui.label_8.setScaledContents (True)
pixmapMN = QPixmap (directory + "/MN/0.jpg")
self.ui.label_6.setPixmap(pixmapMN)
self.ui.label_6.setScaledContents (True)
def change_img(self):
global val
val = self.ui.horizontalSlider.value()
self.ui.label_3.setText("%s" % val)
pixmapT1 = QPixmap (directory + "/T1/"+str(val-1) +".jpg")
self.ui.label_4.setPixmap(pixmapT1)
self.ui.label_4.setScaledContents (True)
pixmapT2 = QPixmap (directory + "/T2/"+str(val-1) +".jpg")
self.ui.label_5.setPixmap(pixmapT2)
self.ui.label_5.setScaledContents (True)
pixmapCT = QPixmap (directory + "/CT/"+str(val-1) +".jpg")
self.ui.label_7.setPixmap(pixmapCT)
self.ui.label_7.setScaledContents (True)
pixmapFT = QPixmap (directory + "/FT/"+str(val-1) +".jpg")
self.ui.label_8.setPixmap(pixmapFT)
self.ui.label_8.setScaledContents (True)
pixmapMN = QPixmap (directory + "/MN/"+str(val-1) +".jpg")
self.ui.label_6.setPixmap(pixmapMN)
self.ui.label_6.setScaledContents (True)
if os.path.isfile("./result/CT/"+str(val-1) +".jpg"):
CT = "./result/CT/"+str(val-1) +".jpg"
FT = "./result/FT/"+str(val-1) +".jpg"
MN = "./result/MN/"+str(val-1) +".jpg"
pixmapCT = QPixmap ("./result/CT/"+str(val-1) +".jpg")
self.ui.label_10.setPixmap(pixmapCT)
self.ui.label_10.setScaledContents (True)
pixmapFT = QPixmap ("./result/FT/"+str(val-1) +".jpg")
self.ui.label_9.setPixmap(pixmapFT)
self.ui.label_9.setScaledContents (True)
pixmapMN = QPixmap ("./result/MN/"+str(val-1) +".jpg")
self.ui.label_11.setPixmap(pixmapMN)
self.ui.label_11.setScaledContents (True)
img = Contours(directory + "/T1/"+str(val-1) +".jpg", CT, FT, MN)
h,w,_ = img.shape
img = QImage(img.data, h, w, 3*h, QImage.Format_RGB888)
self.ui.label_12.setPixmap(QPixmap(img))
self.ui.label_12.setScaledContents (True)
self.ui.label_2.setText("Current image DC :\n\nCarpal tunnel:"+str(dc_CT[val-1])+"\n\nFlexor tendons:"+str(dc_FT[val-1])+"\n\nMeidan nerve:"+str(dc_MN[val-1]))
def run(self):
start = time.time()
global dc_CT
global dc_FT
global dc_MN
global CT
global FT
global MN
# load data
print('load data...')
img_pre = load_data(directory + "/T1")
img_pre += load_data(directory + "/T2")
mask_gt_CT = read_gt(load_data(directory + "/CT"))
mask_gt_FT = read_gt(load_data(directory + "/FT"))
mask_gt_MN = read_gt(load_data(directory + "/MN"))
# predict
print('predict...')
modelpath = "./model"
save_img_FT = []
save_img_CT = []
save_img_MN = []
for model in range(5):
print("\rmodel {}:(CT/FT/MN)".format(model+1))
save_img_CT.append(
predict(img_pre, "{}/CT/{}/model.pth".format(modelpath, model+1)))
save_img_FT.append(
predict(img_pre, "{}/FT/{}/model.pth".format(modelpath, model+1)))
save_img_MN.append(
predict(img_pre, "{}/MN/{}/model.pth".format(modelpath, model+1)))
# vote
img_num = int(len(img_pre)/2)
pred_CT = vote(save_img_CT, img_num)
pred_FT = vote(save_img_FT, img_num)
pred_MN = vote(save_img_MN, img_num)
# save result
save_pre_img(pred_CT, pred_FT, pred_MN)
# DC
dc_CT = DC(pred_CT, mask_gt_CT)
dc_FT = DC(pred_FT, mask_gt_FT)
dc_MN = DC(pred_MN, mask_gt_MN)
# show result on GUI
CT = "./result/CT/"+str(val-1) +".jpg"
FT = "./result/FT/"+str(val-1) +".jpg"
MN = "./result/MN/"+str(val-1) +".jpg"
self.ui.label_10.setPixmap(QPixmap (CT))
self.ui.label_10.setScaledContents (True)
self.ui.label_9.setPixmap(QPixmap (FT))
self.ui.label_9.setScaledContents (True)
self.ui.label_11.setPixmap(QPixmap (MN))
self.ui.label_11.setScaledContents (True)
img = Contours(directory + "/T1/"+str(val-1) +".jpg", CT, FT, MN)
h,w,_ = img.shape
img = QImage(img.data, h, w, 3*h, QImage.Format_RGB888)
self.ui.label_12.setPixmap(QPixmap(img))
self.ui.label_12.setScaledContents (True)
self.ui.label.setText("Sequence DC(mean) :\n\nCarpal tunnel:"+str(dc_CT[len(dc_CT)-1])+"\n\nFlexor tendons:"+str(dc_FT[len(dc_FT)-1])+"\n\nMeidan nerve:"+str(dc_MN[len(dc_MN)-1]))
self.ui.label_2.setText("Current image DC :\n\nCarpal tunnel:"+str(dc_CT[val-1])+"\n\nFlexor tendons:"+str(dc_FT[val-1])+"\n\nMeidan nerve:"+str(dc_MN[val-1]))
end = time.time()
print(end-start)
if __name__ == '__main__':
import sys
app = QtWidgets.QApplication(sys.argv)
window = Main()
window.show()
sys.exit(app.exec_())