454 lines
21 KiB
Python
454 lines
21 KiB
Python
import os
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import sys
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import cv2
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import numpy as np
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from PyQt5 import QtCore, QtGui, QtWidgets
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from segment_anything import sam_model_registry, SamPredictor
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class Ui_MainWindow(object):
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def setupUi(self, MainWindow):
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MainWindow.setObjectName("MainWindow")
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MainWindow.resize(1140, 450)
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MainWindow.setMinimumSize(QtCore.QSize(1140, 450))
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MainWindow.setMaximumSize(QtCore.QSize(1140, 450))
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self.centralwidget = QtWidgets.QWidget(MainWindow)
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self.centralwidget.setObjectName("centralwidget")
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self.pushButton_w = QtWidgets.QPushButton(self.centralwidget)
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self.pushButton_w.setGeometry(QtCore.QRect(10, 90, 151, 51))
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self.pushButton_w.setObjectName("pushButton_w")
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self.pushButton_a = QtWidgets.QPushButton(self.centralwidget)
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self.pushButton_a.setGeometry(QtCore.QRect(10, 160, 71, 51))
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self.pushButton_a.setObjectName("pushButton_a")
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self.pushButton_d = QtWidgets.QPushButton(self.centralwidget)
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self.pushButton_d.setGeometry(QtCore.QRect(90, 160, 71, 51))
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self.pushButton_d.setObjectName("pushButton_d")
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self.pushButton_s = QtWidgets.QPushButton(self.centralwidget)
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self.pushButton_s.setGeometry(QtCore.QRect(10, 360, 151, 51))
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self.pushButton_s.setObjectName("pushButton_s")
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self.pushButton_5 = QtWidgets.QPushButton(self.centralwidget)
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self.pushButton_5.setGeometry(QtCore.QRect(10, 230, 151, 51))
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self.pushButton_5.setObjectName("pushButton_5")
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self.label_orign = QtWidgets.QLabel(self.centralwidget)
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self.label_orign.setGeometry(QtCore.QRect(180, 20, 471, 401))
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self.label_orign.setStyleSheet("background-color: rgb(255, 255, 255);")
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self.label_orign.setObjectName("label_orign")
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self.label_2 = QtWidgets.QLabel(self.centralwidget)
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self.label_2.setGeometry(QtCore.QRect(660, 20, 471, 401))
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self.label_2.setStyleSheet("background-color: rgb(255, 255, 255);")
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self.label_2.setObjectName("label_2")
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self.pushButton_w_2 = QtWidgets.QPushButton(self.centralwidget)
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self.pushButton_w_2.setGeometry(QtCore.QRect(10, 20, 151, 51))
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self.pushButton_w_2.setObjectName("pushButton_w_2")
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self.lineEdit = QtWidgets.QLineEdit(self.centralwidget)
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self.lineEdit.setGeometry(QtCore.QRect(50, 290, 81, 21))
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self.lineEdit.setObjectName("lineEdit")
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self.horizontalSlider = QtWidgets.QSlider(self.centralwidget)
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self.horizontalSlider.setGeometry(QtCore.QRect(10, 320, 141, 22))
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self.horizontalSlider.setRange(0, 10) # 将范围设置为从0到最大值
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self.horizontalSlider.setSingleStep(1)
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self.horizontalSlider.setValue(0) # 初始值设为0
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self.horizontalSlider.setOrientation(QtCore.Qt.Horizontal)
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self.horizontalSlider.setTickInterval(0)
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self.horizontalSlider.setObjectName("horizontalSlider")
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MainWindow.setCentralWidget(self.centralwidget)
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self.menubar = QtWidgets.QMenuBar(MainWindow)
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self.menubar.setGeometry(QtCore.QRect(0, 0, 1140, 23))
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self.menubar.setObjectName("menubar")
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MainWindow.setMenuBar(self.menubar)
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self.statusbar = QtWidgets.QStatusBar(MainWindow)
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self.statusbar.setObjectName("statusbar")
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MainWindow.setStatusBar(self.statusbar)
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self.retranslateUi(MainWindow)
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QtCore.QMetaObject.connectSlotsByName(MainWindow)
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def retranslateUi(self, MainWindow):
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_translate = QtCore.QCoreApplication.translate
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MainWindow.setWindowTitle(_translate("MainWindow", "MainWindow"))
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self.pushButton_w.setText(_translate("MainWindow", "Predict"))
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self.pushButton_a.setText(_translate("MainWindow", "Pre"))
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self.pushButton_d.setText(_translate("MainWindow", "Next"))
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self.pushButton_s.setText(_translate("MainWindow", "Save"))
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self.pushButton_5.setText(_translate("MainWindow", "背景图"))
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self.label_orign.setText(_translate("MainWindow", "<html><head/><body><p align=\"center\">原始图像</p></body></html>"))
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self.label_2.setText(_translate("MainWindow", "<html><head/><body><p align=\"center\">预测图像</p></body></html>"))
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self.pushButton_w_2.setText(_translate("MainWindow", "Openimg"))
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self.lineEdit.setText(_translate("MainWindow", "改变mask大小"))
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class MyMainWindow(QtWidgets.QMainWindow, Ui_MainWindow):
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def __init__(self):
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super().__init__()
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self.setupUi(self)
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self.k = 0
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self.last_value = 0 # 保存上一次滑块值
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self.image_path = ""
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self.image_folder = ""
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self.image_files = []
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self.current_index = 0
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self.input_stop = False # 在这里初始化 input_stop
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self.pushButton_w_2.clicked.connect(self.open_image_folder)
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self.pushButton_a.clicked.connect(self.load_previous_image)
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self.pushButton_d.clicked.connect(self.load_next_image)
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self.pushButton_s.clicked.connect(self.save_prediction)
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self.pushButton_5.clicked.connect(self.select_background_image)
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self.horizontalSlider.valueChanged.connect(self.adjust_prediction_size) # 连接水平滑块的值改变信号
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def adjust_pixmap_size(self, pixmap, scale_factor):
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scaled_size = QtCore.QSize(pixmap.size().width() * scale_factor / 100,
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pixmap.size().height() * scale_factor / 100)
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return pixmap.scaled(scaled_size, QtCore.Qt.KeepAspectRatio)
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def open_image_folder(self):
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folder_dialog = QtWidgets.QFileDialog()
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folder_path = folder_dialog.getExistingDirectory(self, 'Open Image Folder', '')
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if folder_path:
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self.image_folder = folder_path
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self.image_files = self.get_image_files(self.image_folder)
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if self.image_files:
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self.show_image_selection_dialog()
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def load_previous_image(self):
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if self.image_files:
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if self.current_index > 0:
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self.current_index -= 1
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else:
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self.current_index = len(self.image_files) - 1
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self.show_image()
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def load_next_image(self):
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if self.image_files:
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if self.current_index < len(self.image_files) - 1:
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self.current_index += 1
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else:
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self.current_index = 0
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self.show_image()
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def get_image_files(self, folder_path):
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image_files = [file for file in os.listdir(folder_path) if file.endswith(('png', 'jpg', 'jpeg', 'bmp'))]
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return image_files
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def show_image_selection_dialog(self):
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dialog = QtWidgets.QDialog(self)
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dialog.setWindowTitle("Select Image")
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layout = QtWidgets.QVBoxLayout()
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self.listWidget = QtWidgets.QListWidget()
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for image_file in self.image_files:
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item = QtWidgets.QListWidgetItem(image_file)
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pixmap = QtGui.QPixmap(os.path.join(self.image_folder, image_file)).scaledToWidth(100)
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item.setIcon(QtGui.QIcon(pixmap))
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self.listWidget.addItem(item)
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self.listWidget.itemDoubleClicked.connect(self.image_selected)
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layout.addWidget(self.listWidget)
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buttonBox = QtWidgets.QDialogButtonBox(QtWidgets.QDialogButtonBox.Ok | QtWidgets.QDialogButtonBox.Cancel)
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buttonBox.accepted.connect(self.image_selected)
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buttonBox.rejected.connect(dialog.reject)
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layout.addWidget(buttonBox)
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dialog.setLayout(layout)
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dialog.exec_()
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def image_selected(self):
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selected_item = self.listWidget.currentItem()
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if selected_item:
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selected_index = self.listWidget.currentRow()
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if selected_index >= 0 and selected_index < len(self.image_files): # 检查索引是否在有效范围内
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self.current_index = selected_index
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self.show_image() # 显示所选图像
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# 调用OpenCV窗口显示
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self.call_opencv_interaction(os.path.join(self.image_folder, self.image_files[self.current_index]))
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def select_background_image(self):
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file_dialog = QtWidgets.QFileDialog()
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image_path, _ = file_dialog.getOpenFileName(self, 'Select Background Image', '',
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'Image Files (*.png *.jpg *.jpeg *.bmp)')
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if image_path:
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self.show_background_image(image_path)
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def show_background_image(self, image_path):
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pixmap = QtGui.QPixmap(image_path)
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current_pixmap = self.label_2.pixmap()
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if current_pixmap:
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current_pixmap = QtGui.QPixmap(current_pixmap)
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scene = QtWidgets.QGraphicsScene()
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scene.addPixmap(pixmap)
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scene.addPixmap(current_pixmap)
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merged_pixmap = QtGui.QPixmap(scene.sceneRect().size().toSize())
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merged_pixmap.fill(QtCore.Qt.transparent)
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painter = QtGui.QPainter(merged_pixmap)
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scene.render(painter)
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painter.end()
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self.label_2.setPixmap(merged_pixmap)
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else:
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self.label_2.setPixmap(pixmap.scaled(self.label_2.size(), QtCore.Qt.KeepAspectRatio))
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def show_image(self):
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if self.image_files and self.current_index < len(self.image_files):
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file_path = os.path.join(self.image_folder, self.image_files[self.current_index])
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pixmap = QtGui.QPixmap(file_path)
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self.label_orign.setPixmap(pixmap.scaled(self.label_orign.size(), QtCore.Qt.KeepAspectRatio))
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def call_opencv_interaction(self, image_path):
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input_dir = os.path.dirname(image_path)
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image_orign = cv2.imread(image_path)
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output_dir = r'D:\Program Files\Pycharm items\segment-anything-model\scripts\output\maskt'
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crop_mode = True
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print('最好是每加一个点就按w键predict一次')
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os.makedirs(output_dir, exist_ok=True)
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image_files = [self.image_files[self.current_index]]
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sam = sam_model_registry["vit_b"](
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checkpoint=r"D:\Program Files\Pycharm items\segment-anything-model\weights\vit_b.pth")
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_ = sam.to(device="cuda")
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predictor = SamPredictor(sam)
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WINDOW_WIDTH = 1280
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WINDOW_HEIGHT = 720
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def apply_mask(image, mask, alpha_channel=True):
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if alpha_channel:
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alpha = np.zeros_like(image[..., 0])
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alpha[mask == 1] = 255
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image = cv2.merge((image[..., 0], image[..., 1], image[..., 2], alpha))
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else:
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image = np.where(mask[..., None] == 1, image, 0)
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return image
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def apply_color_mask(image, mask, color, color_dark=0.5):
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for c in range(3):
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image[:, :, c] = np.where(mask == 1, image[:, :, c] * (1 - color_dark) + color_dark * color[c],
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image[:, :, c])
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return image
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def get_next_filename(base_path, filename):
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name, ext = os.path.splitext(filename)
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for i in range(1, 101):
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new_name = f"{name}_{i}{ext}"
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if not os.path.exists(os.path.join(base_path, new_name)):
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return new_name
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return None
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def save_masked_image(image, mask, output_dir, filename, crop_mode_):
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# 保存图像到指定路径
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if crop_mode_:
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# 如果采用了裁剪模式，则裁剪图像
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y, x = np.where(mask)
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y_min, y_max, x_min, x_max = y.min(), y.max(), x.min(), x.max()
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cropped_mask = mask[y_min:y_max + 1, x_min:x_max + 1]
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cropped_image = image[y_min:y_max + 1, x_min:x_max + 1]
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masked_image = apply_mask(cropped_image, cropped_mask)
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else:
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masked_image = apply_mask(image, mask)
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filename = filename[:filename.rfind('.')] + '.png'
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new_filename = get_next_filename(output_dir, filename)
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if new_filename:
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if masked_image.shape[-1] == 4:
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cv2.imwrite(os.path.join(output_dir, new_filename), masked_image,
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[cv2.IMWRITE_PNG_COMPRESSION, 9])
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else:
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cv2.imwrite(os.path.join(output_dir, new_filename), masked_image)
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print(f"Saved as {new_filename}")
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# 读取保存的图像文件
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saved_image_path = os.path.join(output_dir, new_filename)
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saved_image_pixmap = QtGui.QPixmap(saved_image_path)
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# 将保存的图像显示在预测图像区域
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mainWindow.label_2.setPixmap(
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saved_image_pixmap.scaled(mainWindow.label_2.size(), QtCore.Qt.KeepAspectRatio))
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else:
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print("Could not save the image. Too many variations exist.")
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current_index = 0
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cv2.namedWindow("image", cv2.WINDOW_NORMAL)
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cv2.resizeWindow("image", WINDOW_WIDTH, WINDOW_HEIGHT)
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cv2.moveWindow("image", (1920 - WINDOW_WIDTH) // 2, (1080 - WINDOW_HEIGHT) // 2)
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def mouse_click(event, x, y, flags, param):
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if not self.input_stop:
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if event == cv2.EVENT_LBUTTONDOWN:
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input_point.append([x, y])
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input_label.append(1)
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elif event == cv2.EVENT_RBUTTONDOWN:
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input_point.append([x, y])
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input_label.append(0)
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else:
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if event == cv2.EVENT_LBUTTONDOWN or event == cv2.EVENT_RBUTTONDOWN:
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print('此时不能添加点,按w退出mask选择模式')
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cv2.setMouseCallback("image", mouse_click)
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input_point = []
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input_label = []
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input_stop = False
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while True:
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filename = self.image_files[self.current_index]
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image_orign = cv2.imread(os.path.join(input_dir, filename))
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image_crop = image_orign.copy()
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image = cv2.cvtColor(image_orign.copy(), cv2.COLOR_BGR2RGB)
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selected_mask = None
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logit_input = None
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while True:
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image_display = image_orign.copy()
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display_info = f'{filename} '
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cv2.putText(image_display, display_info, (10, 30), cv2.FONT_HERSHEY_SIMPLEX, 0.7, (0, 255, 255),
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2,
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cv2.LINE_AA)
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for point, label in zip(input_point, input_label):
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color = (0, 255, 0) if label == 1 else (0, 0, 255)
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cv2.circle(image_display, tuple(point), 5, color, -1)
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if selected_mask is not None:
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color = tuple(np.random.randint(0, 256, 3).tolist())
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selected_image = apply_color_mask(image_display, selected_mask, color)
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cv2.imshow("image", image_display)
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key = cv2.waitKey(1)
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if key == ord(" "):
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input_point = []
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input_label = []
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selected_mask = None
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logit_input = None
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elif key == ord("w"):
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input_stop = True
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if len(input_point) > 0 and len(input_label) > 0:
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predictor.set_image(image)
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input_point_np = np.array(input_point)
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input_label_np = np.array(input_label)
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masks, scores, logits = predictor.predict(
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point_coords=input_point_np,
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point_labels=input_label_np,
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mask_input=logit_input[None, :, :] if logit_input is not None else None,
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multimask_output=True,
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)
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mask_idx = 0
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num_masks = len(masks)
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prediction_window_name = "Prediction"
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cv2.namedWindow(prediction_window_name, cv2.WINDOW_NORMAL)
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cv2.resizeWindow(prediction_window_name, WINDOW_WIDTH, WINDOW_HEIGHT)
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cv2.moveWindow(prediction_window_name, (1920 - WINDOW_WIDTH) // 2,
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(1080 - WINDOW_HEIGHT) // 2)
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while True:
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color = tuple(np.random.randint(0, 256, 3).tolist())
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image_select = image_orign.copy()
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selected_mask = masks[mask_idx]
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selected_image = apply_color_mask(image_select, selected_mask, color)
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mask_info = f'Total: {num_masks} | Current: {mask_idx} | Score: {scores[mask_idx]:.2f} | w 预测 | d 切换下一个 | a 切换上一个 |q 移除最后一个'
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cv2.putText(selected_image, mask_info, (10, 30), cv2.FONT_HERSHEY_SIMPLEX, 0.7,
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(0, 255, 255), 2, cv2.LINE_AA)
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cv2.imshow(prediction_window_name, selected_image)
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key = cv2.waitKey(10)
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if key == ord('q') and len(input_point) > 0:
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input_point.pop(-1)
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elif key == ord('s'):
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save_masked_image(image_crop, selected_mask, output_dir, filename,
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crop_mode_=crop_mode)
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elif key == ord('a'):
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if mask_idx > 0:
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mask_idx -= 1
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else:
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mask_idx = num_masks - 1
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elif key == ord('d'):
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if mask_idx < num_masks - 1:
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mask_idx += 1
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else:
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mask_idx = 0
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elif key == ord('w'):
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input_stop = False # Allow adding points again
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break
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elif key == ord(" "):
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input_point = []
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input_label = []
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selected_mask = None
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logit_input = None
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break
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logit_input = logits[mask_idx, :, :]
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print('max score:', np.argmax(scores), ' select:', mask_idx)
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elif key == ord('a'):
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current_index = max(0, current_index - 1)
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input_point = []
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input_label = []
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break
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elif key == ord('d'):
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current_index = min(len(image_files) - 1, current_index + 1)
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input_point = []
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input_label = []
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break
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elif key == 27:
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break
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elif key == ord('q') and len(input_point) > 0:
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input_point.pop(-1)
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input_label.pop(-1)
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elif key == ord('s') and selected_mask is not None:
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save_masked_image(image_crop, selected_mask, output_dir, filename, crop_mode_=crop_mode)
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if key == 27:
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break
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cv2.destroyAllWindows() # Close all windows before exiting
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if key == 27:
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break
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def save_prediction(self):
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if self.label_2.pixmap(): # 检查预测图像区域是否有图像
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# 保存预测结果的部分，这里假设你已经有了保存预测结果的代码，我用 placeholer 代替
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# placeholder: 这里假设 save_prediction_result 是一个保存预测结果的函数，它接受预测结果的图像数据以及保存路径作为参数
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# 这里假设预测结果图像数据为 prediction_image，保存路径为 save_path
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prediction_image = self.label_2.pixmap().toImage()
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save_path = "prediction_result.png"
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prediction_image.save(save_path)
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# 调用 adjust_prediction_size 方法来根据 horizontalSlider 的值调整预测区域的大小
|
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self.adjust_prediction_size(self.horizontalSlider.value())
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def adjust_prediction_size(self, value):
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if self.image_files and self.current_index < len(self.image_files):
|
||
# 获取预测图像区域的原始大小
|
||
pixmap = self.label_2.pixmap()
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if pixmap.isNull():
|
||
return
|
||
|
||
original_size = pixmap.size()
|
||
|
||
# 判断是缩小还是还原图像
|
||
if value < self.last_value:
|
||
# 缩小掩码
|
||
scale_factor = 1.0 + (self.last_value - value) * 0.1
|
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else:
|
||
# 放大掩码
|
||
scale_factor = 1.0 - (value - self.last_value) * 0.1
|
||
|
||
self.last_value = value # 更新上一次的滑块值
|
||
|
||
# 根据缩放比例调整预测图像区域的大小，并保持纵横比例
|
||
scaled_size = QtCore.QSize(original_size.width() * scale_factor, original_size.height() * scale_factor)
|
||
scaled_pixmap = pixmap.scaled(scaled_size, QtCore.Qt.KeepAspectRatio)
|
||
|
||
# 更新预测图像区域的大小并显示
|
||
self.label_2.setPixmap(scaled_pixmap)
|
||
|
||
|
||
if __name__ == "__main__":
|
||
app = QtWidgets.QApplication(sys.argv)
|
||
mainWindow = MyMainWindow()
|
||
mainWindow.show()
|
||
sys.exit(app.exec_())
|
||
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