def update_metric_for_frame(self, correct_regions, predicted_regions):
overlapping_matrix = Region.compare_exists_in_regions(correct_regions, predicted_regions)
regions_count = len(correct_regions)
count_of_predicted_regions_by_region = np.sum(overlapping_matrix, axis=1)
for r in range(regions_count):
if count_of_predicted_regions_by_region[r] > 0:
overlapping_count = count_of_predicted_regions_by_region[r]
metric = 1.0/(1.0 + math.log(overlapping_count))
self.fragmentation_metrics.append(metric)
def update_metric_for_frame(self, correct_regions, predicted_regions):
overlapping_matrix = Region.compare_exists_in_regions(correct_regions, predicted_regions)
predicted_regions_count = len(predicted_regions)
correct_regions_count = len(correct_regions)
for cr in range(correct_regions_count):
correct_region = correct_regions[cr]
assert isinstance(correct_region, Region)
overlapping_regions = []
for pr in range(predicted_regions_count):
if overlapping_matrix[cr, pr]:
full_region_overlapping = predicted_regions[pr]
overlapping_region = correct_region.get_own_subregion(full_region_overlapping)
overlapping_regions.append(overlapping_region)
overlapping_area = CoverArea.calculate(correct_region, overlapping_regions)
metric = overlapping_area / correct_region.get_area()
self.recall_aor_metrics.append(metric)
