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merge_lvis_annotation.py
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merge_lvis_annotation.py
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from collections import Counter
import json
import argparse
from util import box_ops
import torch
parser = argparse.ArgumentParser("merge lvis annotation")
parser.add_argument('--no_rare_path', type=str)
parser.add_argument('--reference_path', type=str)
parser.add_argument('--pseudo_path', type=str)
parser.add_argument('--output_file', type=str)
args = parser.parse_args()
with open(args.no_rare_path) as f:
no_rare = json.load(f)
with open(args.pseudo_path) as f:
pseudo_label = json.load(f)
with open(args.reference_path) as f:
reference = json.load(f)
all_categories = reference['categories']
del reference
rare_ids = [t['id'] for t in all_categories if t['frequency'] == 'r']
for cat in all_categories:
if cat['frequency'] == 'r':
cat['image_count'] == 0
cat['instance_count'] == 0
no_rare_by_img = dict()
for anno in no_rare['annotations']:
image_id = anno['image_id']
if image_id not in no_rare_by_img:
no_rare_by_img[image_id] = list()
no_rare_by_img[image_id].append(anno)
good_annotation = list()
# filter out the annotations that overlap with a base gt box
for anno in pseudo_label:
image_id = anno['image_id']
base_anno = no_rare_by_img[image_id] if image_id in no_rare_by_img else []
pseudo = torch.tensor(anno['bbox'])
base = torch.tensor([t['bbox'] for t in base_anno])
pseudo[2:] += pseudo[:2]
base[:,2:] += base[:,:2]
pseudo = pseudo.unsqueeze(0)
iou = box_ops.box_iou(pseudo, base)[0]
if iou.max() > 0.5:
continue
good_annotation.append(anno)
image_counter = Counter()
instance_counter = Counter()
seen_image = set()
for anno in good_annotation:
if (anno['image_id'], anno['category_id']) not in seen_image:
image_counter[anno['category_id']] += 1
seen_image.add((anno['image_id'], anno['category_id']))
instance_counter[anno['category_id']] += 1
for k in image_counter.keys():
cat = all_categories[k - 1]
assert cat['id'] == k
cat['image_count'] = image_counter[k]
cat['instance_count'] = instance_counter[k]
max_id = max([k['id'] for k in no_rare['annotations']])
for i, anno in enumerate(good_annotation):
anno['id'] = max_id + i + 1
no_rare['categories'] = all_categories
no_rare['annotations'].extend(good_annotation)
with open(args.output_file, 'w') as f:
json.dump(no_rare, f)