50 lines
1.4 KiB
Python
50 lines
1.4 KiB
Python
import math
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import threading
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import tkinter as tk
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import tkinter.ttk as ttk
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from AsyncProgress import AsyncProgress
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from Plotter import Plotter
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import cnn_train
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def cancel_train(plot):
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def cancel_func():
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try:
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if len(plot.data['train_loss']) > 7 and sum(plot.data['train_loss'][-7:]) < 50:
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print("stopped")
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return len(plot.data['train_loss']) > 7 and sum(plot.data['train_loss'][-7:]) < 50
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except KeyError:
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return False
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return cancel_func
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if __name__ == '__main__':
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root = tk.Tk()
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root.title("AI Project")
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progress_frame = ttk.Frame(root, padding=20, width=500)
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progress_frame.grid(row=0, column=0)
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pbar_epoch = AsyncProgress(progress_frame, label=" Epoch: ")
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pbar_train = AsyncProgress(progress_frame, label=" Train: ")
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pbar_eval = AsyncProgress(progress_frame, label="Evaluation: ")
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pbar_epoch.grid(row=0, column=0)
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pbar_train.grid(row=1, column=0)
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pbar_eval.grid(row=2, column=0)
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plotter_acc = Plotter(root, percent_lim=True)
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plotter_acc.grid(row=3, column=0)
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plotter_loss = Plotter(root)
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plotter_loss.grid(row=3, column=1)
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root.after(0, lambda: threading.Thread(target=cnn_train.train_worker,
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args=(pbar_epoch, pbar_train, pbar_eval, plotter_acc, plotter_loss),
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daemon=True).start())
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root.focus_set()
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root.mainloop()
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