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for entire dataset #23

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73782ed
return result
ertugrulsmz1 Nov 8, 2020
625d996
function to method
ertugrulsmz1 Nov 8, 2020
d9277a5
typo
ertugrulsmz1 Nov 8, 2020
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18 changes: 18 additions & 0 deletions mean_average_precision/detection_map.py
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Original file line number Diff line number Diff line change
Expand Up @@ -158,3 +158,21 @@ def plot(self, interpolated=True, class_names=None):

plt.suptitle("Mean average precision : {:0.2f}".format(sum(mean_average_precision)/len(mean_average_precision)))
fig.tight_layout()


def get_result(self,interpolated=True, class_names=None):
"""
return result. As result is calculated for a batch, it needs to be utilized for entire dataset.
"""

mean_average_precision = []
# TODO: data structure not optimal for this operation...
for i in range (self.n_class):
if i > self.n_class - 1:
break
precisions, recalls = self.compute_precision_recall_(i, interpolated)
average_precision = self.compute_ap(precisions, recalls)
class_name = class_names[i] if class_names else "Class {}".format(i)
mean_average_precision.append(average_precision)

return sum(mean_average_precision)/len(mean_average_precision)