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Make normalized confusion matrix more interpretable #2114

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Mar 3, 2021
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Make normalized confusion matrix more interpretable #2114

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8 changes: 4 additions & 4 deletions utils/metrics.py
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Original file line number Diff line number Diff line change
Expand Up @@ -147,12 +147,12 @@ def process_batch(self, detections, labels):
if n and sum(j) == 1:
self.matrix[gc, detection_classes[m1[j]]] += 1 # correct
else:
self.matrix[gc, self.nc] += 1 # background FP
self.matrix[self.nc, gc] += 1 # background FP

if n:
for i, dc in enumerate(detection_classes):
if not any(m1 == i):
self.matrix[self.nc, dc] += 1 # background FN
self.matrix[dc, self.nc] += 1 # background FN

def matrix(self):
return self.matrix
Expand All @@ -168,8 +168,8 @@ def plot(self, save_dir='', names=()):
sn.set(font_scale=1.0 if self.nc < 50 else 0.8) # for label size
labels = (0 < len(names) < 99) and len(names) == self.nc # apply names to ticklabels
sn.heatmap(array, annot=self.nc < 30, annot_kws={"size": 8}, cmap='Blues', fmt='.2f', square=True,
xticklabels=names + ['background FN'] if labels else "auto",
yticklabels=names + ['background FP'] if labels else "auto").set_facecolor((1, 1, 1))
xticklabels=names + ['background FP'] if labels else "auto",
yticklabels=names + ['background FN'] if labels else "auto").set_facecolor((1, 1, 1))
fig.axes[0].set_xlabel('True')
fig.axes[0].set_ylabel('Predicted')
fig.savefig(Path(save_dir) / 'confusion_matrix.png', dpi=250)
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