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improve .stats #85

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merged 5 commits into from
May 8, 2021
Merged

improve .stats #85

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76ca71e
add num_negative_images to coco stats
fcakyon May 8, 2021
d5afacf
add min_area_per_category and max_area_per_category to coco stats
fcakyon May 8, 2021
f1d7938
fix min_annotation_area_per_category
fcakyon May 8, 2021
0ef5059
fix typo
fcakyon May 8, 2021
7d7ba14
update stat docs
fcakyon May 8, 2021
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31 changes: 14 additions & 17 deletions docs/COCO.md
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Original file line number Diff line number Diff line change
Expand Up @@ -215,23 +215,20 @@ coco = Coco.from_coco_dict_or_path("coco.json")
# get dataset stats
coco.stats
{
'avg_annotation_area': 2448.405738278109,
'avg_num_annotations_in_image': 53.037243084530985,
'max_annotation_area': 328640,
'max_num_annotations_in_image': 902,
'min_annotation_area': 3,
'min_num_annotations_in_image': 1,
'num_annotations': 343204,
'num_annotations_per_category': {
'human': 106396,
'vehicle': 236808
},
'num_categories': 2,
'num_images': 6471,
'num_images_per_category': {
'human': 5684,
'vehicle': 6323
}
'num_images': 6471,
'num_annotations': 343204,
'num_categories': 2,
'num_negative_images': 0,
'num_images_per_category': {'human': 5684, 'vehicle': 6323},
'num_annotations_per_category': {'human': 106396, 'vehicle': 236808},
'min_num_annotations_in_image': 1,
'max_num_annotations_in_image': 902,
'avg_num_annotations_in_image': 53.037243084530985,
'min_annotation_area': 3,
'max_annotation_area': 328640,
'avg_annotation_area': 2448.405738278109,
'min_annotation_area_per_category': {'human': 3, 'vehicle': 3},
'max_annotation_area_per_category': {'human': 72670, 'vehicle': 328640},
}

```
19 changes: 17 additions & 2 deletions sahi/utils/coco.py
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Original file line number Diff line number Diff line change
Expand Up @@ -1016,12 +1016,17 @@ def calculate_stats(self):
"""
Iterates over all annotations and calculates total number of
"""
# init all stats
num_annotations = 0
num_images = len(self.images)
num_negative_images = 0
num_categories = len(self.json_categories)
category_name_to_zero = {category["name"]:0 for category in self.json_categories}
category_name_to_inf = {category["name"]:float('inf') for category in self.json_categories}
num_images_per_category = copy.deepcopy(category_name_to_zero)
num_annotations_per_category = copy.deepcopy(category_name_to_zero)
min_annotation_area_per_category = copy.deepcopy(category_name_to_inf)
max_annotation_area_per_category = copy.deepcopy(category_name_to_zero)
min_num_annotations_in_image = float('inf')
max_num_annotations_in_image = 0
total_annotation_area = 0
Expand All @@ -1039,6 +1044,13 @@ def calculate_stats(self):
max_annotation_area = annotation_area
if annotation_area<min_annotation_area:
min_annotation_area = annotation_area
if annotation_area>max_annotation_area_per_category[annotation.category_name]:
max_annotation_area_per_category[annotation.category_name] = annotation_area
if annotation_area<min_annotation_area_per_category[annotation.category_name]:
min_annotation_area_per_category[annotation.category_name] = annotation_area
# update num_negative_images
if len(image.annotations) == 0:
num_negative_images += 1
# update num_annotations
num_annotations += len(image.annotations)
# update num_images_per_category
Expand All @@ -1051,21 +1063,24 @@ def calculate_stats(self):
max_num_annotations_in_image = num_annotations_in_image
if num_annotations_in_image<min_num_annotations_in_image:
min_num_annotations_in_image = num_annotations_in_image
avg_num_annotations_in_image = num_annotations/num_images
avg_num_annotations_in_image = num_annotations/(num_images-num_negative_images)
avg_annotation_area = total_annotation_area/num_annotations

self._stats = {
"num_images": num_images,
"num_annotations": num_annotations,
"num_categories": num_categories,
"num_negative_images": num_negative_images,
"num_images_per_category": num_images_per_category,
"num_annotations_per_category": num_annotations_per_category,
"min_num_annotations_in_image": min_num_annotations_in_image,
"max_num_annotations_in_image": max_num_annotations_in_image,
"avg_num_annotations_in_image": avg_num_annotations_in_image,
"min_annotation_area": min_annotation_area,
"max_annotation_area": max_annotation_area,
"avg_annotation_area": avg_annotation_area
"avg_annotation_area": avg_annotation_area,
"min_annotation_area_per_category": min_annotation_area_per_category,
"max_annotation_area_per_category": max_annotation_area_per_category,
}

def split_coco_as_train_val(
Expand Down