152 lines
3.8 KiB
Python
152 lines
3.8 KiB
Python
import json
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import os
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"""
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cd datasets
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mkdir -p mix_det/annotations
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cp mot/annotations/val_half.json mix_det/annotations/val_half.json
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cp mot/annotations/test.json mix_det/annotations/test.json
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cd mix_det
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ln -s ../mot/train mot_train
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ln -s ../crowdhuman/CrowdHuman_train crowdhuman_train
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ln -s ../crowdhuman/CrowdHuman_val crowdhuman_val
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ln -s ../Cityscapes cp_train
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ln -s ../ETHZ ethz_train
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cd ..
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"""
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mot_json = json.load(open('datasets/mot/annotations/train.json','r'))
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img_list = list()
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for img in mot_json['images']:
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img['file_name'] = 'mot_train/' + img['file_name']
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img_list.append(img)
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ann_list = list()
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for ann in mot_json['annotations']:
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ann_list.append(ann)
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video_list = mot_json['videos']
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category_list = mot_json['categories']
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print('mot17')
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max_img = 10000
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max_ann = 2000000
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max_video = 10
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crowdhuman_json = json.load(open('datasets/crowdhuman/annotations/train.json','r'))
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img_id_count = 0
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for img in crowdhuman_json['images']:
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img_id_count += 1
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img['file_name'] = 'crowdhuman_train/' + img['file_name']
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img['frame_id'] = img_id_count
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img['prev_image_id'] = img['id'] + max_img
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img['next_image_id'] = img['id'] + max_img
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img['id'] = img['id'] + max_img
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img['video_id'] = max_video
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img_list.append(img)
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for ann in crowdhuman_json['annotations']:
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ann['id'] = ann['id'] + max_ann
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ann['image_id'] = ann['image_id'] + max_img
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ann_list.append(ann)
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print('crowdhuman_train')
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video_list.append({
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'id': max_video,
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'file_name': 'crowdhuman_train'
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})
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max_img = 30000
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max_ann = 10000000
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crowdhuman_val_json = json.load(open('datasets/crowdhuman/annotations/val.json','r'))
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img_id_count = 0
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for img in crowdhuman_val_json['images']:
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img_id_count += 1
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img['file_name'] = 'crowdhuman_val/' + img['file_name']
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img['frame_id'] = img_id_count
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img['prev_image_id'] = img['id'] + max_img
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img['next_image_id'] = img['id'] + max_img
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img['id'] = img['id'] + max_img
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img['video_id'] = max_video
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img_list.append(img)
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for ann in crowdhuman_val_json['annotations']:
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ann['id'] = ann['id'] + max_ann
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ann['image_id'] = ann['image_id'] + max_img
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ann_list.append(ann)
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print('crowdhuman_val')
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video_list.append({
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'id': max_video,
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'file_name': 'crowdhuman_val'
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})
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max_img = 40000
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max_ann = 20000000
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ethz_json = json.load(open('datasets/ETHZ/annotations/train.json','r'))
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img_id_count = 0
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for img in ethz_json['images']:
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img_id_count += 1
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img['file_name'] = 'ethz_train/' + img['file_name'][5:]
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img['frame_id'] = img_id_count
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img['prev_image_id'] = img['id'] + max_img
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img['next_image_id'] = img['id'] + max_img
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img['id'] = img['id'] + max_img
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img['video_id'] = max_video
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img_list.append(img)
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for ann in ethz_json['annotations']:
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ann['id'] = ann['id'] + max_ann
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ann['image_id'] = ann['image_id'] + max_img
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ann_list.append(ann)
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print('ETHZ')
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video_list.append({
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'id': max_video,
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'file_name': 'ethz'
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})
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max_img = 50000
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max_ann = 25000000
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cp_json = json.load(open('datasets/Cityscapes/annotations/train.json','r'))
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img_id_count = 0
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for img in cp_json['images']:
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img_id_count += 1
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img['file_name'] = 'cp_train/' + img['file_name'][11:]
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img['frame_id'] = img_id_count
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img['prev_image_id'] = img['id'] + max_img
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img['next_image_id'] = img['id'] + max_img
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img['id'] = img['id'] + max_img
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img['video_id'] = max_video
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img_list.append(img)
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for ann in cp_json['annotations']:
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ann['id'] = ann['id'] + max_ann
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ann['image_id'] = ann['image_id'] + max_img
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ann_list.append(ann)
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print('Cityscapes')
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video_list.append({
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'id': max_video,
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'file_name': 'cityperson'
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})
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mix_json = dict()
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mix_json['images'] = img_list
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mix_json['annotations'] = ann_list
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mix_json['videos'] = video_list
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mix_json['categories'] = category_list
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json.dump(mix_json, open('datasets/mix_det/annotations/train.json','w'))
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