import cv2
import sys, time, os
import numpy as np
from PyQt5 import QtCore, QtGui, QtWidgets
from test_pyqt5_0712_ui import Ui_MainWindow
from PyQt5.QtCore import QDate,QTime
from PyQt5.QtWidgets import QApplication, QFileDialog, QLabel,QMainWindow, QWidget, QPushButton
from PyQt5.QtCore import QThread, pyqtSignal





# 轉Qlabel的格式
def label_to_view(img):  # 原圖
    img = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)  # QT顏色顯示轉換
    Ny, Nx, _ = img.shape
    img = QtGui.QImage(img.data, Nx, Ny, Nx * 3, QtGui.QImage.Format_RGB888)  # 須改格式
    return img




class MainWindow(QtWidgets.QMainWindow, Ui_MainWindow):
    def __init__(self, parent=None): #按鍵設定
        super(MainWindow, self).__init__(parent)
        self.setupUi(self)

        self.view_1.setScaledContents(True); #設定view_1 自適應大小

        self.open_file_bt.clicked.connect(self.open_file_clicked)  # 按鍵open
        self.horizontalSlider.valueChanged.connect(self.sliderValue)  # 滑桿調整

        self.img_check=False # 確認有無圖片

    # 選擇圖片
    def open_file_clicked(self):
        file_filter = "Image Files (*.jpg *.jpeg *.png *.bmp *.mp4 *.avi);" # 規定格式
        file_path, _ = QFileDialog.getOpenFileName(self, 'Open Image','',file_filter)
        # 若沒圖 直接return 不執行下面程式
        if file_path =="":
            return
        if file_path:
            self.img_check = True
            self.img = cv2.imread(file_path)
            img = self.img.copy()
            img = label_to_view(img)
            self.view_1.setPixmap(QtGui.QPixmap.fromImage(img))
    # 滑桿控制
    def sliderValue(self):
        # 若沒圖 直接return 不執行下面程式
        if self.img_check==False:
            return

        binary_value = int(self.horizontalSlider.value()) # 二值化參數
        self.horizontalSlider_text.setText(str(binary_value)) # 顯示數值
        img = self.img.copy()
        img = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
        if binary_value < 2:
            return
        if (binary_value % 2 == 1):
            img1 = cv2.adaptiveThreshold(img, 255, cv2.ADAPTIVE_THRESH_MEAN_C, cv2.THRESH_BINARY, binary_value, 2)  # 動態二值
        else:
            img1 = cv2.adaptiveThreshold(img, 255, cv2.ADAPTIVE_THRESH_MEAN_C, cv2.THRESH_BINARY, binary_value + 1, 2)  # 動態二值
        img1 = cv2.cvtColor(img1, cv2.COLOR_GRAY2BGR)
        img = label_to_view(img1)
        self.view_1.setPixmap(QtGui.QPixmap.fromImage(img))




if __name__=='__main__':
    app = QtWidgets.QApplication(sys.argv)
    win = MainWindow()
    win.show()
    sys.exit(app.exec_())