| |
| |
| |
| |
|
|
|
|
| from __future__ import absolute_import |
| from __future__ import division |
| from __future__ import print_function |
|
|
| import re |
| import numpy as np |
| import matplotlib.pyplot as plt |
|
|
|
|
| class LogVisualizer(object): |
|
|
| def vis_loss(self, log_file): |
| with open(log_file, 'r') as file_stream: |
| train_ax = list() |
| train_ay = list() |
| test_ax = list() |
| test_ay = list() |
| test_mark = 0 |
|
|
| for line in file_stream.readlines(): |
| if 'Iteration' in line: |
| m = re.match(r'.*Iteration:(.*)Learning.*', line) |
| iter = int(m.group(1)) |
| train_ax.append(iter) |
| test_mark = iter |
|
|
| elif 'TrainLoss' in line: |
| m = re.match(r'.*TrainLoss = (.*)', line) |
| loss = float(m.group(1)) |
| train_ay.append(loss) |
|
|
| elif 'TestLoss' in line: |
| m = re.match(r'.*TestLoss = (.*)', line) |
| loss = float(m.group(1)) |
| test_ax.append(test_mark) |
| test_ay.append(loss) |
|
|
| else: |
| continue |
|
|
| train_ax = np.array(train_ax) |
| train_ay = np.array(train_ay) |
| test_ax = np.array(test_ax) |
| test_ay = np.array(test_ay) |
| plt.plot(train_ax, train_ay, label='Train Loss') |
| plt.plot(test_ax, test_ay, label='Test Loss') |
| plt.legend() |
| plt.show() |
|
|
| def vis_acc(self, log_file): |
| with open(log_file, 'r') as file_stream: |
| acc_ax = list() |
| acc_ay = list() |
| test_mark = 0 |
|
|
| for line in file_stream.readlines(): |
| if 'Iteration' in line and 'Train' in line: |
| m = re.match(r'.*Iteration:(.*)Learning.*', line) |
| iter = int(m.group(1)) |
| test_mark = iter |
|
|
| if 'Accuracy' in line: |
| m = re.match(r'.*Accuracy = (.*)', line) |
| loss = float(m.group(1)) |
| acc_ax.append(test_mark) |
| acc_ay.append(loss) |
|
|
| else: |
| continue |
|
|
| plt.plot(acc_ax, acc_ay, label='Acc') |
| plt.legend() |
| plt.show() |
|
|
|
|
| if __name__ == "__main__": |
| |
| |
| |
|
|
| log_visualizer = LogVisualizer() |
| log_visualizer.vis_loss('../../log/cls/fc_flower_cls.log') |
|
|
