def testPlot(self):
roc = pv.ROC(self.match, self.nonmatch, is_distance=True)
plot = pv.Plot()
roc.plot(plot, method=ROC_PRECISE_SAMPLED, color="red", width=5)
roc.plot(plot, method=ROC_PRECISE_ALL, color='black')
plot.lines([[0, 1], [1, 0]])
eer = roc.getEER()
plot.point([eer, 1 - eer])
plot.asImage()
def testFRR(self):
roc = pv.ROC(self.match,self.nonmatch,is_distance=True)
result = roc.getFRR(0.5)
self.assertAlmostEqual(result.far,0.18)
self.assertAlmostEqual(result.tar,0.50)
result = roc.getFRR(0.80)
self.assertAlmostEqual(result.far,0.04)
self.assertAlmostEqual(result.tar,0.20)
def testFAR(self):
roc = pv.ROC(self.match,self.nonmatch,is_distance=True)
result = roc.getFAR(0.1)
self.assertAlmostEqual(result.far,0.1)
self.assertAlmostEqual(result.tar,0.45)
result = roc.getFAR(0.01)
self.assertAlmostEqual(result.far,0.01)
self.assertAlmostEqual(result.tar,0.15)
def getPosNeg(self):
names = self.srt.getNames()
pos = []
neg = []
for i in range(len(names)):
for j in range(i + 1, len(names)):
iname = names[i]
jname = names[j]
if self.srt.getRecord(iname).subject_id == self.srt.getRecord(
jname).subject_id:
pos.append(self.matrix[iname][jname])
else:
neg.append(self.matrix[iname][jname])
return pos, neg
if __name__ == "__main__":
srt = CSU_SRT(
"/Users/bolme/vision/csuFaceIdBenchmark/imagelists/list640.srt")
ebgm_dist = CSU_Dist(
"/Users/bolme/vision/csuFaceIdBenchmark/distances/feret/EBGM", srt)
pca_dist = CSU_Dist(
"/Users/bolme/vision/csuFaceIdBenchmark/distances/feret/PCA_Euclidean",
srt)
ebgm_pos, ebgm_neg = ebgm_dist.getPosNeg()
pca_pos, pca_neg = pca_dist.getPosNeg()
from pyvis.analysis.roc import *
ebgm_roc = pv.ROC(ebgm_pos, ebgm_neg)
pca_roc = pv.ROC(pca_pos, pca_neg)
def testAUC(self):
roc = pv.ROC(self.match,self.nonmatch,is_distance=True)
auc = roc.getAUC()
self.assertAlmostEqual(auc,0.7608)
def testEER(self):
roc = pv.ROC(self.match,self.nonmatch,is_distance=True)
eer = roc.getEER()
self.assertAlmostEqual(eer,0.29)