Djalim Simaila
fb2bb6e9ce
✨ feat(data_processing.py): add function to calculate morphological indicators from discrete data The variable name teta_diffs was changed to theta_diffs to improve semantics. A new function was added to calculate morphological indicators from discrete data. The function calculates Tortuosity, Volume, Surface, Mean radius, Standard deviation of radius, Sigma r tot, MI_l, and MI_p. 🔥 refactor(input.py): remove unused result_file_path parameter from ScannedObject constructor and from_xyz_file method ✨ feat(input.py): add encoding parameter to open method in from_obj_file and from_xyz_file methods The result_file_path parameter was not being used in the ScannedObject constructor and from_xyz_file method, so it was removed to simplify the code. The encoding parameter was added to the open method in the from_obj_file and from_xyz_file methods to ensure that the files are opened with the correct encoding. 🐛 fix(output.py): add utf-8 encoding when writing to output file ✨ feat(output.py): remove unused import and function argument, improve code readability The fix adds the utf-8 encoding when writing to the output file to avoid encoding issues. The feat removes the unused import and function argument to improve code readability. The function format_data now only takes the necessary arguments and the unused import is removed. 🐛 fix(main_window.py): fix typo in function name ✨ feat(main_window.py): add persistence to pre-processed data The fix corrects a typo in the function name get_true_theta_from_x_y. The feat adds persistence to the pre-processed data by storing the raw data, discrete data, and advanced data in the main window. This avoids re-computation of the data when switching between tabs. 🎨 style(MainWindow.ui): add export_advanced_metrics button to the UI 🎨 style(UI_MainWindow.py): add export_advanced_metrics button to the UI 🎨 style(ressources_rc.py): update the resource file 🐛 fix(data_extraction.py): fix typo in function name get_mean_teta to get_mean_theta The changes add a new button to the UI named "export_advanced_metrics" which allows the user to export variables. The resource file is updated to reflect the changes. The typo in the function name get_mean_teta is fixed to get_mean_theta.
558 lines
25 KiB
Python
558 lines
25 KiB
Python
"""
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Created on Mon Apr 24 2023
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@name: MainWindow.py
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@desc: Main window of the application
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@auth: Djalim Simaila
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@e-mail: djalim.simaila@inrae.fr
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"""
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import os
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from PyQt5 import QtWidgets
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from PyQt5.QtCore import QThread
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from PyQt5.QtWidgets import QFileDialog, QWidget
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from utils.files.input import ScannedObject
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from utils.gui.pyqt.main_window.Workers.AdvancedDataWorker import AdvancedDataWorker
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from utils.gui.pyqt.settings.Settings import Settings
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from utils.gui.pyqt.about.AboutThis import AboutThis
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from utils.math.data_extraction import get_mean, get_radius_from_x_y, get_true_theta_from_x_y
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from utils.settings.SettingManager import SettingManager
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from utils.graph2D.visplot_render import cross_section, render2D
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from utils.graph3D.visplot_render import render3D
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from utils.gui.pyqt.main_window.UI_MainWindow import Ui_MainWindow
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from utils.gui.pyqt.main_window.Workers.DiscreteDataWorker import DiscreteDataProcessWorker
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from utils.gui.pyqt.main_window.Workers.PreProcessWorker import PreProcessWorker
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from utils.gui.pyqt.main_window.Workers.RawDataWorker import RawDataProcessWorker
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from utils.gui.pyqt.error_popup.ErrorPopup import ErrorPopup
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class MainWindow(QtWidgets.QMainWindow, Ui_MainWindow):
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"""
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Main window of the application, it contains all the UI elements
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"""
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def __init__(self, parent=None):
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super(MainWindow, self).__init__(parent)
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# Persist variable to avoid re-computation
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self.obj = None
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self.raw_data= None
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self.discrete_data = None
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self.advanced_data = None
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# Retrieve the UI
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self.setupUi(self)
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# Setup buttons listeners
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self.start_analyse_button.clicked.connect(self.start_preprocess)
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self.input_file_choose_btn.clicked.connect(self.select_file)
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self.output_folder_choose_btn.clicked.connect(self.select_folder)
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self.show_graph_checkbox.stateChanged.connect(self.toggle_graphs)
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self.actionSauvegarder_le_model_redress.triggered.connect(self.save_model)
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self.actionPr_f_rennces.triggered.connect(self.show_settings)
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self.actionQuitter.triggered.connect(self.close)
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self.actionQ_propos_de_ce_logiciel.triggered.connect(self.show_about)
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# add default layer combobox value and setup the listenerr when index change
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self.layer_ComboBox.addItems(['Aucune couche'])
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self.layer_ComboBox.currentIndexChanged.connect(self.layer_changed)
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# Prepare available graph type list for the slots combobox
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self.graph_type = [
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"Aucun",
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"Mesh3D",
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"Coupe XZ",
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"Coupe YZ",
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"Evolution du rayon moyen",
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"Difference entre le rayon moyen et la moyenne des rayons",
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"Coupe de la couche",
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"Difference entre le rayon de chaque points et le rayon moyen de la couche"
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]
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# put all slots combo boxes in a list for conveniance
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self.combo_boxes = [
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self.slot0ComboBox,
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self.slot1ComboBox,
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self.slot2ComboBox,
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self.slot3ComboBox,
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self.slot4ComboBox,
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self.slot5ComboBox,
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self.slot6ComboBox,
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self.slot7ComboBox,
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self.slot8ComboBox,
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self.slot9ComboBox,
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self.slot10ComboBox
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]
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# Setup all combo boxes with values and listener
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for combo_box in self.combo_boxes:
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combo_box.addItems(self.graph_type)
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combo_box.currentIndexChanged.connect(self.graph_type_changed)
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# put all slots in a list for conveniance and store their state in a string
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self.slots = [
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[self.slot0,"Aucun"],
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[self.slot1,"Aucun"],
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[self.slot2,"Aucun"],
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[self.slot3,"Aucun"],
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[self.slot4,"Aucun"],
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[self.slot5,"Aucun"],
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[self.slot6,"Aucun"],
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[self.slot7,"Aucun"],
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[self.slot8,"Aucun"],
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[self.slot9,"Aucun"],
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[self.slot10,"Aucun"]
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]
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# Retrieve the slot previous value from the settings
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for slot_nb,slot in enumerate(self.slots):
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slot[1] = SettingManager.get_instance().get_last_graph(slot_nb)
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self.combo_boxes[slot_nb].setCurrentText(slot[1])
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# Graph number indicator
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self.graph_nb =0
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self.graph_type_changed()
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# Construct sub windows
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self.settings_window = Settings()
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self.about_window = AboutThis()
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# Variable to check if parametters has changed to avoid re-computation
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self.has_changed = True
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self.old_discretisation_value = None
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# Task counter and task number, used to know when the analysis
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# is considered finished
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# Current tasks are
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# - process raw data
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# - process discrete data
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# - process morphological indicators (advanced data)
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self.completed_tasks = 0
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self.total_tasks = 3
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###############################################################################
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# #
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# #
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# Input/Setting Management #
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# #
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# #
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###############################################################################
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def select_file(self):
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"""
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Open a file dialog to select the input file,
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if the folder_path is empty, it fills it with the files folder.
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"""
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file = QFileDialog.getOpenFileName()[0]
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self.input_file_path.setPlainText(file)
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self.output_file_prefix.setText(os.path.splitext(os.path.basename(file))[0])
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if self.output_folder_path.toPlainText() is None or self.output_folder_path.toPlainText() == "":
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self.output_folder_path.setPlainText(os.path.dirname(file))
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self.has_changed = True
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def select_folder(self):
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"""
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Open a file dialog to select the output folder
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"""
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self.output_folder_path.setPlainText(QFileDialog.getExistingDirectory())
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self.has_changed = True
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def check_input_file(self):
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"""
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Check if the input file is valid by checking:
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- if it exists
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- if its extension is .obj
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"""
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if not os.path.isfile(self.input_file_path.toPlainText()) :
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ErrorPopup("Fichier d'entrée invalide: Aucun fichier selectionné, ou le fichier n'existe pas",
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button_label="Choisir un fichier d'entrée",
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button_callback=self.select_file).show_popup()
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return False
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if os.path.splitext(self.input_file_path.toPlainText())[1].lower() != ".obj":
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ErrorPopup("Fichier d'entrée invalide: l'extension du fichier est incorrecte ",
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button_label="Choisir un fichier d'entrée",
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button_callback=self.select_file).show_popup()
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return False
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return True
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def check_output_folder(self):
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"""
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Check if the output folder is valid by cheking if it exists.
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"""
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if not os.path.isdir(self.output_folder_path.toPlainText()):
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ErrorPopup("Dossier de sortie invalide",
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button_label="Choisir un dossier de sortie",
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button_callback=self.select_folder).show_popup()
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return False
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return True
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###############################################################################
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# #
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# #
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# Data Processing #
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# #
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# #
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###############################################################################
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def start_preprocess(self):
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"""
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Start the analyse, create the thread and connect the signals.
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"""
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if not self.check_input_file():
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return
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if not self.check_output_folder():
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return
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self.clear_graphs()
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self.completed_tasks = 0
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if not self.has_changed and self.old_discretisation_value == self.discretisation_value_selector.value():
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self.completed_tasks = self.total_tasks -1
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self.finish_analyse()
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return
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self.has_changed = False
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self.old_discretisation_value = self.discretisation_value_selector.value()
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# Create the thread to run the analyse
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self.preprocess_thread = QThread()
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self.preprocess_worker = PreProcessWorker("PreProcessWorker",
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self.input_file_path.toPlainText(),
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self.discretisation_value_selector.value())
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self.preprocess_worker.moveToThread(self.preprocess_thread)
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# Connect the signals
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# Start
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self.preprocess_thread.started.connect(self.preprocess_worker.run)
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# Progress
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self.preprocess_worker.status.connect(self.set_status)
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self.preprocess_worker.progress.connect(self.update_progress_bar)
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self.preprocess_worker.processed_obj.connect(self.set_obj)
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self.preprocess_worker.processed_obj.connect(self.process_raw_data)
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self.preprocess_worker.processed_obj.connect(self.process_discrete_data)
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# Finished
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self.preprocess_worker.finished.connect(self.preprocess_thread.quit)
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self.preprocess_worker.finished.connect(self.preprocess_worker.deleteLater)
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self.preprocess_thread.finished.connect(self.preprocess_thread.deleteLater)
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# Start the thread
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self.preprocess_thread.start()
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self.start_analyse_button.setEnabled(False)
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def process_raw_data(self, obj:ScannedObject):
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"""
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Start the analyse, create the thread and connect the signals.
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"""
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self.processrawdata_thread = QThread()
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self.processraw_worker = RawDataProcessWorker("RawDataProcessWorker",
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obj,
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self.output_folder_path.toPlainText(),
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self.output_file_prefix.text(),
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self.discretisation_value_selector.value())
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self.processraw_worker.moveToThread(self.processrawdata_thread)
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# Connect the signals
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# Start
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self.processrawdata_thread.started.connect(self.processraw_worker.run)
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# Progress
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self.processraw_worker.status.connect(self.set_status)
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self.processraw_worker.progress.connect(self.update_progress_bar)
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self.processraw_worker.processedData.connect(self.set_raw_data)
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# Finished
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self.processraw_worker.finished.connect(self.finish_analyse)
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self.processraw_worker.finished.connect(self.processrawdata_thread.quit)
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self.processraw_worker.finished.connect(self.processraw_worker.deleteLater)
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self.processrawdata_thread.finished.connect(self.processrawdata_thread.deleteLater)
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# Start the thread
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self.processrawdata_thread.start()
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def process_discrete_data(self, obj:ScannedObject):
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"""
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Start the analyse, create the thread and connect the signals.
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"""
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self.processdiscrete_thread = QThread()
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self.processdiscrete_worker = DiscreteDataProcessWorker("DiscreteDataProcessWorker",
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obj,
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self.output_folder_path.toPlainText(),
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self.output_file_prefix.text(),
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self.discretisation_value_selector.value())
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self.processdiscrete_worker.moveToThread(self.processdiscrete_thread)
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# Connect the signals
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# Start
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self.processdiscrete_thread.started.connect(self.processdiscrete_worker.run)
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# Progress
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self.processdiscrete_worker.status.connect(self.set_status)
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self.processdiscrete_worker.progress.connect(self.update_progress_bar)
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self.processdiscrete_worker.processedData.connect(self.set_discrete_data)
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self.processdiscrete_worker.processedData.connect(self.process_advanced_data)
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# Finished
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self.processdiscrete_worker.finished.connect(self.finish_analyse)
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self.processdiscrete_worker.finished.connect(self.processdiscrete_thread.quit)
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self.processdiscrete_worker.finished.connect(self.processdiscrete_worker.deleteLater)
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self.processdiscrete_thread.finished.connect(self.processdiscrete_thread.deleteLater)
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# Start the thread
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self.processdiscrete_thread.start()
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def process_advanced_data(self, discrete_data:dict):
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"""
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Start the analyse, create the thread and connect the signals.
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"""
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self.advanced_data_thread = QThread()
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self.advanced_data_worker = AdvancedDataWorker("AdvancedDataProcessWorker",
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discrete_data)
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self.advanced_data_worker.moveToThread(self.advanced_data_thread)
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# Connect the signals
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# Start
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self.advanced_data_thread.started.connect(self.advanced_data_worker.run)
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# Progress
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self.advanced_data_worker.status.connect(self.set_status)
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self.advanced_data_worker.progress.connect(self.update_progress_bar)
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self.advanced_data_worker.processedData.connect(self.set_advanced_data)
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# Finished
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self.advanced_data_worker.finished.connect(self.finish_analyse)
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self.advanced_data_worker.finished.connect(self.advanced_data_thread.quit)
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self.advanced_data_worker.finished.connect(self.advanced_data_worker.deleteLater)
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self.advanced_data_thread.finished.connect(self.advanced_data_thread.deleteLater)
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# Start the thread
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self.advanced_data_thread.start()
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def set_obj(self,obj:ScannedObject):
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"""
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Persists the pre-processed obj
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"""
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self.obj = obj
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def set_discrete_data(self,discrete_data:dict):
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"""
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Persists the calculated discrete data
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"""
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self.discrete_data = discrete_data
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layer = [str(i) for i in range(len(discrete_data["X moy (en mm)"]))]
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layer.insert(0,"Aucune couche")
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self.layer_ComboBox.currentIndexChanged.disconnect(self.layer_changed)
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self.layer_ComboBox.clear()
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self.layer_ComboBox.addItems(layer)
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self.layer_ComboBox.currentIndexChanged.connect(self.layer_changed)
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def set_raw_data(self,raw_data:dict):
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"""
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Persists the calculated raw data
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"""
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self.raw_data = raw_data
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def set_advanced_data(self,advanced_data:dict):
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"""
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Persists the calculated raw data and show the values
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"""
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self.advanced_data = advanced_data
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self.tortuosity.setValue(advanced_data["Tortuosité"])
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self.volume.setValue(advanced_data["Volume"])
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self.surface.setValue(advanced_data["Surface"])
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self.mean_r_mean.setValue(advanced_data["Moyenne des rayons moyens"])
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self.sigma_r_mean.setValue(advanced_data["Ecart-type des rayons moyens"])
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self.sigma_r_tot.setValue(advanced_data["Sigma r tot"])
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self.MI_l.setValue(advanced_data["MI_l"])
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self.MI_p.setValue(advanced_data["MI_p"])
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def save_model(self):
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"""
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Save the model to a file
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"""
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if self.obj is None:
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ErrorPopup("Aucune analyse effectuée. Aucun modèle à sauvegarder").show_popup()
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return
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file_path = QFileDialog.getSaveFileName(self,
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"Sauvegarder le modèle",
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"./",
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"Fichier OBJ (*.obj)")
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self.obj.export_obj(file_path[0])
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###############################################################################
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# #
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# #
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# Graphs management #
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# #
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# #
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###############################################################################
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def toggle_graphs(self):
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"""
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Show or hide the graphs
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"""
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if self.show_graph_checkbox.isChecked():
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self.Graphs.show()
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else:
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self.Graphs.hide()
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def renderGraphs(self,obj:ScannedObject,raw_data:dict,discrete_data:dict):
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"""
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Render the graphs
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:param obj: The scanned object
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:param raw_data: The raw data
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:param discrete_data: The discrete data
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"""
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if not self.show_graph_checkbox.isChecked():
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return
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self.set_status("Rendering graphs... this may take a moment")
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for slot in self.slots:
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current_slot = slot[0]
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graph_type = slot[1]
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if graph_type == "Mesh3D":
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current_slot.addWidget(render3D(obj,False).native)
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if graph_type == "Coupe XZ":
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current_slot.addWidget(cross_section(obj.get_x(),
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obj.get_z(),
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"Coupe XZ",
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"X (en mm)",
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"Z (en mm)",
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False).native)
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if graph_type == "Coupe YZ":
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current_slot.addWidget(cross_section(obj.get_y(),
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obj.get_z(),
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"Coupe YZ",
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"Y (en mm)",
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"Z (en mm)",
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False).native)
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if graph_type == "Evolution du rayon moyen":
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current_slot.addWidget(render2D(list(zip(discrete_data['Rayon moyen (en mm)'],discrete_data['Z moy (en mm)'])),
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"Evolution du rayon moyen en fonction de Z",
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"Rayon moyen (en mm)",
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"Z (en mm)",
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False).native)
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if graph_type == "Difference entre le rayon moyen et la moyenne des rayons":
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r_mean= get_mean(discrete_data['Rayon moyen (en mm)'])
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current_slot.addWidget(render2D(list(zip(discrete_data['Rayon moyen (en mm)']-r_mean,discrete_data['Z moy (en mm)'])),
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"Difference entre le rayon moyen et la moyenne en fonction de Z",
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"Rayon moyen (en mm)",
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"Z (en mm)",
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False).native)
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self.set_status("Graphs rendered!")
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def renderDiscreteGraphs(self,obj:ScannedObject,raw_data:dict,discrete_data:dict):
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"""
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"""
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if self.layer_ComboBox.currentText() == 'Aucune couche':
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return
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|
layer_nb = int(self.layer_ComboBox.currentText())
|
|
discretisation_value = self.discretisation_value_selector.value()
|
|
|
|
self.interval_size.setValue(self.discrete_data["Discretisation(en mm)"][layer_nb])
|
|
self.x_mean.setValue(self.discrete_data["X moy (en mm)"][layer_nb])
|
|
self.y_mean.setValue(self.discrete_data["Y moy (en mm)"][layer_nb])
|
|
self.z_mean.setValue(self.discrete_data["Z moy (en mm)"][layer_nb])
|
|
self.r_mean.setValue(self.discrete_data["Rayon moyen (en mm)"][layer_nb])
|
|
self.sigma_r.setValue(self.discrete_data["Rayon ecart type (en mm)"][layer_nb])
|
|
|
|
if not self.show_graph_checkbox.isChecked():
|
|
return
|
|
self.set_status("Renderingc discretes graphs... this may take a moment")
|
|
for slot in self.slots:
|
|
current_slot = slot[0]
|
|
graph_type = slot[1]
|
|
if graph_type == "Coupe de la couche":
|
|
self.clear_slot(current_slot)
|
|
vertices = obj.get_discrete_vertices(discretisation_value)[layer_nb]
|
|
current_slot.addWidget(cross_section([x for x,y,z in vertices],
|
|
[y for x,y,z in vertices],
|
|
"Coupe de la couche",
|
|
"X en mm",
|
|
"Y en mm",
|
|
False).native)
|
|
if graph_type == "Difference entre le rayon de chaque points et le rayon moyen de la couche":
|
|
self.clear_slot(current_slot)
|
|
vertices = obj.get_discrete_vertices(discretisation_value)[layer_nb]
|
|
x_mean = discrete_data["X moy (en mm)"][layer_nb]
|
|
y_mean = discrete_data["Y moy (en mm)"][layer_nb]
|
|
r_mean = discrete_data["Rayon moyen (en mm)"][layer_nb]
|
|
rs = [get_radius_from_x_y(x,y,x_mean,y_mean) for x,y,z in vertices]
|
|
θs = [get_true_theta_from_x_y(x,y,x_mean,y_mean) for x,y,z in vertices]
|
|
min_θ = min(θs)
|
|
current_slot.addWidget(cross_section([θ-min_θ for θ in θs],
|
|
[r-r_mean for r in rs],
|
|
"Difference entre le rayon de chaque points et le rayon moyen de la couche",
|
|
"Theta en rad",
|
|
"r - <r> en mm",
|
|
False).native)
|
|
self.set_status("Graphs rendered!")
|
|
|
|
|
|
def clear_slot(self,slot):
|
|
for i in reversed(range(slot.count())):
|
|
slot.itemAt(i).widget().setParent(None)
|
|
|
|
def clear_graphs(self):
|
|
"""
|
|
Clear the graphs
|
|
"""
|
|
if not self.show_graph_checkbox.isChecked():
|
|
return
|
|
for slot,_ in self.slots:
|
|
self.clear_slot(slot)
|
|
|
|
###############################################################################
|
|
# #
|
|
# #
|
|
# User interface updates #
|
|
# #
|
|
# #
|
|
###############################################################################
|
|
|
|
def finish_analyse(self):
|
|
"""
|
|
Finish the analyse
|
|
"""
|
|
self.completed_tasks += 1
|
|
if self.completed_tasks == self.total_tasks:
|
|
self.status_text.setText("Done")
|
|
self.analyse_progress_bar.setValue(100)
|
|
self.renderGraphs(self.obj,self.raw_data,self.discrete_data)
|
|
self.renderDiscreteGraphs(self.obj,self.raw_data,self.discrete_data)
|
|
self.start_analyse_button.setEnabled(True)
|
|
|
|
def update_progress_bar(self, value):
|
|
"""
|
|
Update the progress bar
|
|
"""
|
|
self.analyse_progress_bar.setValue(value)
|
|
|
|
def set_status(self, status:str):
|
|
"""
|
|
Set the status of the analyse
|
|
"""
|
|
self.status_text.setText(status)
|
|
|
|
def show_settings(self):
|
|
"""
|
|
Show the settings window
|
|
"""
|
|
self.settings_window.show()
|
|
|
|
def show_about(self):
|
|
"""
|
|
Show the about window
|
|
"""
|
|
self.about_window.show()
|
|
|
|
def graph_type_changed(self):
|
|
"""
|
|
Update the number of graphs
|
|
"""
|
|
self.graph_nb = 0
|
|
for combo_box in self.combo_boxes:
|
|
if combo_box.currentIndex() != 0:
|
|
self.graph_nb += 1
|
|
self.graph_nb_spinbox.setValue(self.graph_nb)
|
|
|
|
settings = SettingManager.get_instance()
|
|
for count,_ in enumerate(self.slots):
|
|
self.slots[count][1] = self.combo_boxes[count].currentText()
|
|
settings.set_last_graph(count,self.slots[count][1])
|
|
|
|
if self.obj is None or self.discrete_data is None or self.raw_data is None:
|
|
return
|
|
else:
|
|
self.clear_graphs()
|
|
self.renderGraphs(self.obj,self.raw_data,self.discrete_data)
|
|
self.renderDiscreteGraphs(self.obj,self.raw_data,self.discrete_data)
|
|
|
|
def layer_changed(self):
|
|
if self.obj is None or self.discrete_data is None or self.raw_data is None:
|
|
return
|
|
else:
|
|
self.renderDiscreteGraphs(self.obj,self.raw_data,self.discrete_data) |