image-recognizer/ui/front_page/front_page.py

import os
import tkinter as tk

from data.mnist_loader import MNISTModelData
from ui.app_state import AppState
from ui.front_page.sections.model_overview_section import NeuralNetInfo
from ui.front_page.sections.test_model_section import TestModelSection
from ui.front_page.sections.training_section import TrainingSection

class FrontPage(tk.Frame):
    def __init__(self, parent, app_state: AppState):
        super().__init__(parent)
        self.parent = parent
        self.app_state = app_state

        self.main_frame = None
        self.neural_net_info = None
        self.model_actions_frame = None
        self.start_training_section = None
        self.test_model_section = None
        self.training_section = None
        self.test_model_section = None
        self.create_ui()

    def create_ui(self):
        (tk.Label(self, text="Welcome to MNIST Learning Center", font=("Arial", 16))
            .pack(side=tk.TOP, fill=tk.BOTH, expand=False, padx=5))

        self.main_frame = tk.Frame(self)
        self.main_frame.pack(fill=tk.BOTH, expand=True)

        self.neural_net_info = NeuralNetInfo(self.main_frame, self.app_state, self.on_model_loaded, self.on_data_loaded)
        self.neural_net_info.pack(side=tk.TOP, fill=tk.BOTH, expand=True, padx=5)
        self.load_model_actions_frame()

    def update(self):
        if self.neural_net_info is not None:
            self.neural_net_info.update()
        self.load_model_actions_frame()

    def load_model_actions_frame(self):
        if self.model_actions_frame is None and self.app_state.neural_net is not None and self.app_state.model_data is not None:
            self.model_actions_frame = tk.Frame(self.main_frame)
            self.model_actions_frame.pack(side=tk.BOTTOM, fill=tk.BOTH, expand=True, padx=5)

            self.training_section = TrainingSection(self.model_actions_frame, self.app_state, self.after_training)
            self.training_section.pack(side=tk.LEFT, fill=tk.BOTH, expand=True, padx=5)

            self.test_model_section = TestModelSection(self.model_actions_frame, self.app_state)
            self.test_model_section.pack(side=tk.RIGHT, fill=tk.BOTH, expand=True, padx=5)
        else:
            if self.test_model_section is not None:
                self.test_model_section.update()
            if self.training_section is not None:
                self.training_section.update()

    def on_data_loaded(self):
        print("Data loaded")
        self.update()

    def on_model_loaded(self):
        print("Model loaded")
        self.update()

    def load_training_data(self):
        data_folder = "/projects/learning/datasets/minst"
        self.app_state.model_data = MNISTModelData(
                os.path.join(data_folder, "train-images-idx3-ubyte"),
                os.path.join(data_folder, "train-labels-idx1-ubyte"),
                os.path.join(data_folder, "t10k-images-idx3-ubyte"),
                os.path.join(data_folder, "t10k-labels-idx1-ubyte")
            )
        self.update()

    def after_training(self):
        self.update()