import os
import sys
import cv2 as cv
import numpy as np

from PyQt5 import QtCore, QtGui, QtWidgets
from PyQt5.QtCore import *
from PyQt5.QtGui import *
from PyQt5.QtWidgets import QFileDialog, QMainWindow

from surface import (Ui_MainWindow)
os.chdir(sys.path[0])

class PyQtMainEntry(QMainWindow, Ui_MainWindow):
    def __init__(self):
        super().__init__()
        self.setupUi(self)

        self.camera = cv.VideoCapture(0)
        self.is_camera_opened = False

        self._timer = QtCore.QTimer(self)
        self._timer.timeout.connect(self._queryFrame)
        self._timer.setInterval(30)

    def btnOpenCamera_Clicked(self):


        self.is_camera_opened = ~self.is_camera_opened
        if self.is_camera_opened:
            self.btnOpenCamera.setText("关闭摄像头")
            self._timer.start()
        else:
            self.btnOpenCamera.setText("打开摄像头")
            self._timer.stop()

    def btnCapture_Clicked(self):

        if not self.is_camera_opened:
            return

        self.captured = self.frame

        rows, cols, channels = self.captured.shape
        bytesPerLine = channels * cols

        QImg = QImage(self.captured.data, cols, rows, bytesPerLine, QImage.Format_RGB888)
        self.labelCapture.setPixmap(QPixmap.fromImage(QImg).scaled(
            self.labelCapture.size(), Qt.KeepAspectRatio, Qt.SmoothTransformation))

    def btnReadImage_Clicked(self):

        filename,  _ = QFileDialog.getOpenFileName(self, '打开图片')
        if filename:
            self.captured = cv.imread(str(filename))

            self.captured = cv.cvtColor(self.captured, cv.COLOR_BGR2RGB)

            rows, cols, channels = self.captured.shape
            bytesPerLine = channels * cols
            QImg = QImage(self.captured.data, cols, rows, bytesPerLine, QImage.Format_RGB888)
            self.labelCapture.setPixmap(QPixmap.fromImage(QImg).scaled(
                self.labelCapture.size(), Qt.KeepAspectRatio, Qt.SmoothTransformation))

    def btnGray_Clicked(self):


    def btnThreshold_Clicked(self):

        if not hasattr(self, "captured"):
            return

    @QtCore.pyqtSlot()
    def _queryFrame(self):

        ret, self.frame = self.camera.read()

        img_rows, img_cols, channels = self.frame.shape
        bytesPerLine = channels * img_cols

        cv.cvtColor(self.frame, cv.COLOR_BGR2RGB, self.frame)
        QImg = QImage(self.frame.data, img_cols, img_rows, bytesPerLine, QImage.Format_RGB888)
        self.labelCamera.setPixmap(QPixmap.fromImage(QImg).scaled(
            self.labelCamera.size(), Qt.KeepAspectRatio, Qt.SmoothTransformation))



    def btnDenoising_Clicked(self):
        if not hasattr(self, "captured"):
            return



if __name__ == "__main__":
    app = QtWidgets.QApplication(sys.argv)
    window = PyQtMainEntry()
    window.show()
    sys.exit(app.exec_())