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import matplotlib.pyplot as plt
import numpy as np
####### PARAMETERS TO ADJUST #######
# Specify the files generated from merge_nms and plot corresponding graphs
base_fol = 'normal_test'
input_files = {
f'thresh_uni.txt' : 'Thresh + Uni',
f'thresh_nouni.txt' : 'Thresh + NoUni',
}
save_file = 'uni_vs_nouni.png'
# TITLE = 'Thresh + Contrast + Bilateral vs Contrast + Bilateral FROC Comparison (Normal Test)'
TITLE = 'Uni vs NoUni FROC Comparison (Normal Test)'
SHOW = False
CLIP_FPI = 1.2
MIN_CLIP_FPI = 0.0
####################################
def plot_froc(input_files, save_file, TITLE = 'FRCNN vs BILATERAL FROC', SHOW = False, CLIP_FPI = 1.2):
for file in input_files:
lines = open(file).readlines()
x = np.array([float(line.split()[0]) for line in lines])
y = np.array([float(line.split()[1]) for line in lines])
y = y[x<CLIP_FPI]
x = x[x<CLIP_FPI]
y = y[MIN_CLIP_FPI<x]
x = x[MIN_CLIP_FPI<x]
plt.plot(x, y, label = input_files[file])
plt.legend()
plt.title(TITLE)
plt.xlabel('Average False Positive Per Image')
plt.ylabel('Sensetivity')
if SHOW:
plt.show()
plt.savefig(save_file)
plt.clf()
if __name__ == '__main__':
plot_froc(input_files, save_file, TITLE, SHOW, CLIP_FPI) |