image-recognizer/ui/front_page/sections/training_section.py

import threading
import tkinter as tk

from neural_net.trainer import NeuralNetTrainer
from ui.app_state import AppState
from ui.components.number_slider import NumberSlider
from ui.training_page.training_page import EpochInformation


class TrainingSection(tk.LabelFrame):
    def __init__(self, parent, app_state: AppState, on_update_neural_net_info):
        super().__init__(parent, text="Model training")
        self.app_state = app_state
        self.on_update_neural_net_info = on_update_neural_net_info

        self.batch_size = tk.IntVar()
        self.batch_size.set(1000)
        self.batch_size_slider = None
        self.learning_rate = tk.DoubleVar()
        self.learning_rate.set(0.0001)
        self.learning_rate_slider = None
        self.btn_start_stop = None
        self.stop_button = None
        self.training_information_container: EpochInformation = None
        self.trainer: NeuralNetTrainer = NeuralNetTrainer(self.app_state.neural_net, self.app_state.model_data,
                                                          self.learning_rate.get(), self.batch_size.get())
        self.create_ui()

    def create_ui(self):
        tk.Label(self, text="Batch size:").grid(column=0, row=0, padx=10, pady=5, sticky='w')

        self.batch_size_slider = NumberSlider(self, self.batch_size, from_=100, to=10000, resolution=1)
        self.batch_size_slider.grid(column=1, row=0, padx=10, pady=5, sticky='w')

        tk.Label(self, text="Learning rate:").grid(column=0, row=1, padx=10, pady=5, sticky='w')
        self.learning_rate_slider = NumberSlider(self, self.learning_rate, from_=0.0001, to=0.1, resolution=0.0001)
        self.learning_rate_slider.grid(column=1, row=1, padx=10, pady=5, sticky='w')

        self.btn_prev_epoch = tk.Button(self, text="<<", command=self.on_prev_epoch)
        self.btn_prev_epoch.grid(column=0, row=2, padx=10, pady=10, sticky='w')
        self.btn_start_stop = tk.Button(self, text="Start", command=self.toggle_state)
        self.btn_start_stop.grid(column=1, row=2, padx=10, pady=10, sticky='w')
        self.btn_next_epoch = tk.Button(self, text=">>", command=self.on_next_epoch)
        self.btn_next_epoch.grid(column=2, row=2, padx=10, pady=10, sticky='w')

    def update(self):
        if self.trainer.is_running:
            if self.training_information_container is None:
                self.training_information_container = EpochInformation(self, self.trainer.epoch_history[-1])
                self.training_information_container.grid(column=0, row=5, padx=10, pady=10, sticky='e')
                self.btn_start_stop.config(text="Stop")
            else:
                print("Setting the epoch")
                self.training_information_container.set_epoch(self.trainer.epoch_history[-1])
        else:
            self.btn_start_stop.config(text="Start")

    def toggle_state(self):
        if self.trainer.is_running:
            self.trainer.stop()
        else:
            self.thread = threading.Thread(target=self.trainer.start, args=(self.on_epoch_finish, self.on_update_neural_net_info))
            self.thread.start()
            # self.trainer.start(self.on_epoch_finish, self.on_update_neural_net_info)
        self.update()

    def start(self):
        self.thread = threading.Thread(target=self.trainer.start)
        self.thread.start()
        # self.trainer.start(on_epoch_finished=self.update_training_data)

    def on_epoch_finish(self, epoch):
        print("Updating the epoch")
        self.update()

    def on_prev_epoch(self):
        pass
    def on_next_epoch(self):
        pass