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May 11, 2017 09:58
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""" | |
Plots MaxF1 score. | |
------------------------------------------------- | |
The MIT License (MIT) | |
Copyright (c) 2017 Marvin Teichmann | |
More details: https://github.com/MarvinTeichmann/KittiSeg/blob/master/LICENSE | |
""" | |
from __future__ import absolute_import | |
from __future__ import division | |
from __future__ import print_function | |
import os | |
import re | |
import numpy as np | |
import sys | |
import matplotlib.pyplot as plt | |
runfolder = '/home/mifs/mttt2/local_disk/RUNS/' | |
currun = 'paper/segmentation/xentropy_kitti_fcn_2016_10_15_01.18' | |
anafile = 'output.log' | |
output_folder = '/home/mifs/mttt2/github/multinet_paper/cvpr/images/results' | |
name = 'segmentation' | |
outname = os.path.join(output_folder, name) | |
filename = os.path.join(runfolder, currun, anafile) | |
eval_iters = 100 | |
max_iters = 16000 | |
def read_values(prop, typ): | |
regex_string = "%s\s+\(%s\)\s+:\s+(\d+\.\d+)" % (prop, typ) | |
regex = re.compile(regex_string) | |
value_list = [regex.search(line).group(1) for line in open(filename) | |
if regex.search(line) is not None] | |
float_list = [float(value) for value in value_list] | |
return float_list | |
label_list = xrange(eval_iters, max_iters+1, 100) | |
plt.figure(figsize=(8, 5)) | |
plt.rcParams.update({'font.size': 14}) | |
plt.plot(label_list, read_values('MaxF1', 'raw'), | |
label='MaxF1 (Raw)', marker=".", color='blue', linestyle=' ') | |
plt.plot(label_list, read_values('MaxF1', 'smooth'), | |
label='MaxF1 (Smoothed)', color='blue') | |
plt.plot(label_list, read_values('Average Precision', 'raw'), | |
label='Average Precision (Raw)', color='red', marker=".", | |
linestyle=' ') | |
plt.plot(label_list, read_values('Average Precision', 'smooth'), | |
label='Average Precision (Smoothed)', color='red') | |
plt.xlabel('Iteration') | |
plt.ylabel('Validation Score [%]') | |
plt.legend(loc=0) | |
plt.savefig(outname + ".pdf") | |
plt.savefig(outname + ".pgf") | |
plt.show() |
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