51 lines
1.5 KiB
Python
51 lines
1.5 KiB
Python
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import matplotlib.pyplot as plt
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import pandas as pd
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import numpy as np
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import matplotlib.animation as animation
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from scipy.interpolate import make_interp_spline, BSpline
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from datetime import date
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import glob
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import os
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data_date = date.today()
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loss_dir = "Loss/"+str(data_date)+"/"
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list_of_files = glob.glob(loss_dir+"*")
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latest_file = max(list_of_files, key=os.path.getctime)
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print("Current File : ", latest_file)
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fig = plt.figure()
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ax = fig.add_subplot(1,1,1)
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props = dict(boxstyle="square", facecolor='wheat', alpha=0.5)
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data = np.load(latest_file)
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def init():
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disp_data =round(0.3*len(data))
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ax.set_ylim(0,np.max(data[-disp_data:])*1.5)
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ax.set_xlim(0,len(data))
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def animate(i):
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ax.clear()
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data = np.load(latest_file)
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x = np.arange(len(data))
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smooth_data = np.linspace(x.min(), x.max(), round(len(data)/5))
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print(smooth_data)
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disp_data =round(0.2*len(data))
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spl = make_interp_spline(x, data, k=3)
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y_smooth = spl(smooth_data)
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# y_smooth = spline(x, data, smooth_data)
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# last_data = "loss = %.6f" % data[-1]
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ax.set_ylim(0,np.max(data[-disp_data:])*2)
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ax.set_xlim(0,len(data))
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# ax.text(0.05, 0.9, last_data, transform=ax.transAxes, bbox=props)
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# ax.set_yscale('log')
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ax.title.set_text("Loss of "+str(latest_file))
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ax.plot(smooth_data, y_smooth, color='tomato', alpha=0.8)
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# ax.plot(data, color='tomato', alpha=0.8)
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ani = animation.FuncAnimation(fig, animate, interval=20, init_func=init)
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# ani.save(filename='loss_animation.mp4', fps=30, extra_args=['-vcodec', 'libx264'], dpi=300, bitrate=1800, metadata=dict(artist='Nino'))
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plt.show()
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