def __init__(self, root='', split_id=0, **kwargs):
self.root = osp.abspath(osp.expanduser(root))
self.dataset_dir = osp.join(self.root, self.dataset_dir)
self.download_dataset(self.dataset_dir, self.dataset_url)
self.data_dir = osp.join(self.dataset_dir, 'i-LIDS-VID')
self.split_dir = osp.join(self.dataset_dir, 'train-test people splits')
self.split_mat_path = osp.join(self.split_dir,
'train_test_splits_ilidsvid.mat')
self.split_path = osp.join(self.dataset_dir, 'splits.json')
self.cam_1_path = osp.join(self.dataset_dir,
'i-LIDS-VID/sequences/cam1')
self.cam_2_path = osp.join(self.dataset_dir,
'i-LIDS-VID/sequences/cam2')
required_files = [self.dataset_dir, self.data_dir, self.split_dir]
self.check_before_run(required_files)
self.prepare_split()
splits = read_json(self.split_path)
if split_id >= len(splits):
raise ValueError(
'split_id exceeds range, received {}, but expected between 0 and {}'
.format(split_id,
len(splits) - 1))
split = splits[split_id]
train_dirs, test_dirs = split['train'], split['test']
train = self.process_data(train_dirs, cam1=True, cam2=True)
query = self.process_data(test_dirs, cam1=True, cam2=False)
gallery = self.process_data(test_dirs, cam1=False, cam2=True)
super(iLIDSVID, self).__init__(train, query, gallery, **kwargs)
def __init__(self, root='', split_id=0, **kwargs):
self.root = osp.abspath(osp.expanduser(root))
self.dataset_dir = osp.join(self.root, self.dataset_dir)
self.download_dataset(self.dataset_dir, self.dataset_url)
self.zip_path = osp.join(self.dataset_dir, 'CUHK01.zip')
self.campus_dir = osp.join(self.dataset_dir, 'campus')
self.split_path = osp.join(self.dataset_dir, 'splits.json')
self.extract_file()
required_files = [self.dataset_dir, self.campus_dir]
self.check_before_run(required_files)
self.prepare_split()
splits = read_json(self.split_path)
if split_id >= len(splits):
raise ValueError(
'split_id exceeds range, received {}, but expected between 0 and {}'
.format(split_id,
len(splits) - 1))
split = splits[split_id]
train = split['train']
query = split['query']
gallery = split['gallery']
train = [tuple(item + ['cuhk01'] + [item[1]]) for item in train]
query = [tuple(item + ['cuhk01'] + [item[1]]) for item in query]
gallery = [tuple(item + ['cuhk01'] + [item[1]]) for item in gallery]
super(CUHK01, self).__init__(train, query, gallery, **kwargs)
def __init__(self,
datasets_root,
relabel=True,
combineall=False,
split_id=0):
self.root = datasets_root
self.relabel = relabel
self.combineall = combineall
self.dataset_dir = osp.join(self.root, self.dataset_dir)
self.zip_path = osp.join(self.dataset_dir, 'CUHK01.zip')
self.campus_dir = osp.join(self.dataset_dir, 'campus')
self.split_path = osp.join(self.dataset_dir, 'splits.json')
self.extract_file()
self.prepare_split()
splits = read_json(self.split_path)
if split_id >= len(splits):
raise ValueError(
'split_id exceeds range, received {}, but expected between 0 and {}'
.format(split_id,
len(splits) - 1))
split = splits[split_id]
train = split['train']
query = split['query']
gallery = split['gallery']
train = [tuple(item + ['cuhk01'] + [item[1]]) for item in train]
query = [tuple(item + ['cuhk01'] + [item[1]]) for item in query]
gallery = [tuple(item + ['cuhk01'] + [item[1]]) for item in gallery]
self.train, self.query, self.gallery = train, query, gallery
self._show_info(self.train, self.query, self.gallery)
def __init__(self, root='', split_id=0, **kwargs):
self.root = osp.abspath(osp.expanduser(root))
self.dataset_dir = osp.join(self.root, self.dataset_dir)
self.download_dataset(self.dataset_dir, self.dataset_url)
self.cam_a_dir = osp.join(
self.dataset_dir, 'prid_2011', 'single_shot', 'cam_a'
)
self.cam_b_dir = osp.join(
self.dataset_dir, 'prid_2011', 'single_shot', 'cam_b'
)
self.split_path = osp.join(self.dataset_dir, 'splits_single_shot.json')
required_files = [self.dataset_dir, self.cam_a_dir, self.cam_b_dir]
self.check_before_run(required_files)
self.prepare_split()
splits = read_json(self.split_path)
if split_id >= len(splits):
raise ValueError(
'split_id exceeds range, received {}, but expected between 0 and {}'
.format(split_id,
len(splits) - 1)
)
split = splits[split_id]
train, query, gallery = self.process_split(split)
super(PRID, self).__init__(train, query, gallery, **kwargs)
def __init__(self,
datasets_root,
relabel=True,
combineall=False,
split_id=0):
self.dataset_dir = osp.join(datasets_root, self.dataset_dir)
self.probe_path = osp.join(self.dataset_dir, 'underground_reid',
'probe')
self.gallery_path = osp.join(self.dataset_dir, 'underground_reid',
'gallery')
self.split_mat_path = osp.join(self.dataset_dir, 'underground_reid',
'features_and_partitions.mat')
self.split_path = osp.join(self.dataset_dir, 'splits.json')
self.prepare_split()
splits = read_json(self.split_path)
if split_id >= len(splits):
raise ValueError('split_id exceeds range, received {}, '
'but expected between 0 and {}'.format(
split_id,
len(splits) - 1))
split = splits[split_id]
train = split['train']
query = split['query']
gallery = split['gallery']
train = [tuple(item + ['grid'] + [item[1]]) for item in train]
query = [tuple(item + ['grid'] + [item[1]]) for item in query]
gallery = [tuple(item + ['grid'] + [item[1]]) for item in gallery]
self.train, self.query, self.gallery = train, query, gallery
self._show_info(self.train, self.query, self.gallery)
def __init__(self,
datasets_root,
relabel=True,
combineall=False,
split_id=0):
self.root = datasets_root
self.relabel = relabel
self.combineall = combineall
self.dataset_dir = osp.join(datasets_root, self.dataset_dir)
self.cam_a_dir = osp.join(self.dataset_dir, 'VIPeR', 'cam_a')
self.cam_b_dir = osp.join(self.dataset_dir, 'VIPeR', 'cam_b')
self.split_path = osp.join(self.dataset_dir, 'splits.json')
self.prepare_split()
splits = read_json(self.split_path)
if split_id >= len(splits):
raise ValueError('split_id exceeds range, received {}, '
'but expected between 0 and {}'.format(
split_id,
len(splits) - 1))
split = splits[split_id]
train = split['train']
query = split['query'] # query and gallery share the same images
gallery = split['gallery']
train = [tuple(item + ['viper'] + [item[1]]) for item in train]
query = [tuple(item + ['viper'] + [item[1]]) for item in query]
gallery = [tuple(item + ['viper'] + [item[1]]) for item in gallery]
self.train, self.query, self.gallery = train, query, gallery
self._show_info(self.train, self.query, self.gallery)
def __init__(self,
datasets_root,
relabel=True,
combineall=False,
split_id=0):
self.dataset_dir = osp.join(datasets_root, self.dataset_dir)
self.cam_a_dir = osp.join(self.dataset_dir, 'prid_2011', 'single_shot',
'cam_a')
self.cam_b_dir = osp.join(self.dataset_dir, 'prid_2011', 'single_shot',
'cam_b')
self.split_path = osp.join(self.dataset_dir, 'splits_single_shot.json')
self.prepare_split()
splits = read_json(self.split_path)
if split_id >= len(splits):
raise ValueError(
'split_id exceeds range, received {}, but expected between 0 and {}'
.format(split_id,
len(splits) - 1))
split = splits[split_id]
train, query, gallery = self.process_split(split)
self.train, self.query, self.gallery = train, query, gallery
self._show_info(self.train, self.query, self.gallery)
def __init__(self, root='', split_id=0, **kwargs):
self.root = osp.abspath(osp.expanduser(root))
self.dataset_dir = osp.join(self.root, self.dataset_dir)
self.download_dataset(self.dataset_dir, self.dataset_url)
self.cam_a_dir = osp.join(self.dataset_dir, 'VIPeR', 'cam_a')
self.cam_b_dir = osp.join(self.dataset_dir, 'VIPeR', 'cam_b')
self.split_path = osp.join(self.dataset_dir, 'splits.json')
required_files = [self.dataset_dir, self.cam_a_dir, self.cam_b_dir]
self.check_before_run(required_files)
self.prepare_split()
splits = read_json(self.split_path)
if split_id >= len(splits):
raise ValueError('split_id exceeds range, received {}, '
'but expected between 0 and {}'.format(
split_id,
len(splits) - 1))
split = splits[split_id]
train = split['train']
query = split['query'] # query and gallery share the same images
gallery = split['gallery']
train = [tuple(item) for item in train]
query = [tuple(item) for item in query]
gallery = [tuple(item) for item in gallery]
super(VIPeR, self).__init__(train, query, gallery, **kwargs)
def __init__(self, root='', split_id=0, **kwargs):
self.root = osp.abspath(osp.expanduser(root))
self.dataset_dir = osp.join(self.root, self.dataset_dir)
self.download_dataset(self.dataset_dir, self.dataset_url)
self.split_path = osp.join(self.dataset_dir, 'splits_prid2011.json')
self.cam_a_dir = osp.join(self.dataset_dir, 'prid_2011', 'multi_shot',
'cam_a')
self.cam_b_dir = osp.join(self.dataset_dir, 'prid_2011', 'multi_shot',
'cam_b')
required_files = [self.dataset_dir, self.cam_a_dir, self.cam_b_dir]
self.check_before_run(required_files)
splits = read_json(self.split_path)
if split_id >= len(splits):
raise ValueError(
'split_id exceeds range, received {}, but expected between 0 and {}'
.format(split_id,
len(splits) - 1))
split = splits[split_id]
train_dirs, test_dirs = split['train'], split['test']
train = self.process_dir(train_dirs, cam1=True, cam2=True)
query = self.process_dir(test_dirs, cam1=True, cam2=False)
gallery = self.process_dir(test_dirs, cam1=False, cam2=True)
super(PRID2011, self).__init__(train, query, gallery, **kwargs)
def __init__(self,
datasets_root,
relabel=True,
combineall=False,
split_id=0,
cuhk03_labeled=False,
cuhk03_classic_split=False):
self.relabel = relabel
self.combineall = combineall
self.root = datasets_root
self.dataset_dir = osp.join(self.root, self.dataset_dir)
self.data_dir = osp.join(self.dataset_dir, 'cuhk03_release')
self.raw_mat_path = osp.join(self.data_dir, 'cuhk-03.mat')
self.imgs_detected_dir = osp.join(self.dataset_dir, 'images_detected')
self.imgs_labeled_dir = osp.join(self.dataset_dir, 'images_labeled')
self.split_classic_det_json_path = osp.join(
self.dataset_dir, 'splits_classic_detected.json')
self.split_classic_lab_json_path = osp.join(
self.dataset_dir, 'splits_classic_labeled.json')
self.split_new_det_json_path = osp.join(self.dataset_dir,
'splits_new_detected.json')
self.split_new_lab_json_path = osp.join(self.dataset_dir,
'splits_new_labeled.json')
self.split_new_det_mat_path = osp.join(
self.dataset_dir, 'cuhk03_new_protocol_config_detected.mat')
self.split_new_lab_mat_path = osp.join(
self.dataset_dir, 'cuhk03_new_protocol_config_labeled.mat')
self.preprocess_split()
if cuhk03_labeled:
split_path = self.split_classic_lab_json_path if cuhk03_classic_split else self.split_new_lab_json_path
else:
split_path = self.split_classic_det_json_path if cuhk03_classic_split else self.split_new_det_json_path
splits = read_json(split_path)
assert split_id < len(
splits
), 'Condition split_id ({}) < len(splits) ({}) is false'.format(
split_id, len(splits))
split = splits[split_id]
train = [
tuple(item + ['cuhk03'] + [item[1]]) for item in split['train']
]
query = [
tuple(item + ['cuhk03'] + [item[1]]) for item in split['query']
]
gallery = [
tuple(item + ['cuhk03'] + [item[1]]) for item in split['gallery']
]
self.train, self.query, self.gallery = train, query, gallery
self._show_info(self.train, self.query, self.gallery)
def __init__(self,
datasets_root,
relabel=True,
combineall=False,
split_id=0):
self.dataset_dir = osp.join(datasets_root, self.dataset_dir)
self.data_dir = osp.join(self.dataset_dir, 'i-LIDS_Pedestrian/Persons')
self.split_path = osp.join(self.dataset_dir, 'splits.json')
self.prepare_split()
splits = read_json(self.split_path)
if split_id >= len(splits):
raise ValueError('split_id exceeds range, received {}, but '
'expected between 0 and {}'.format(
split_id,
len(splits) - 1))
split = splits[split_id]
train, query, gallery = self.process_split(split)
self.train, self.query, self.gallery = train, query, gallery
self._show_info(self.train, self.query, self.gallery)
def __init__(self, root='', split_id=0, **kwargs):
self.root = osp.abspath(osp.expanduser(root))
self.dataset_dir = osp.join(self.root, self.dataset_dir)
self.download_dataset(self.dataset_dir, self.dataset_url)
self.data_dir = osp.join(self.dataset_dir, 'i-LIDS_Pedestrian/Persons')
self.split_path = osp.join(self.dataset_dir, 'splits.json')
required_files = [self.dataset_dir, self.data_dir]
self.check_before_run(required_files)
self.prepare_split()
splits = read_json(self.split_path)
if split_id >= len(splits):
raise ValueError('split_id exceeds range, received {}, but '
'expected between 0 and {}'.format(
split_id,
len(splits) - 1))
split = splits[split_id]
train, query, gallery = self.process_split(split)
super(iLIDS, self).__init__(train, query, gallery, **kwargs)
def __init__(self, root='', split_id=0, **kwargs):
self.root = osp.abspath(osp.expanduser(root))
self.dataset_dir = osp.join(self.root, self.dataset_dir)
self.download_dataset(self.dataset_dir, self.dataset_url)
self.probe_path = osp.join(self.dataset_dir, 'underground_reid',
'probe')
self.gallery_path = osp.join(self.dataset_dir, 'underground_reid',
'gallery')
self.split_mat_path = osp.join(self.dataset_dir, 'underground_reid',
'features_and_partitions.mat')
self.split_path = osp.join(self.dataset_dir, 'splits.json')
required_files = [
self.dataset_dir, self.probe_path, self.gallery_path,
self.split_mat_path
]
self.check_before_run(required_files)
self.prepare_split()
splits = read_json(self.split_path)
if split_id >= len(splits):
raise ValueError('split_id exceeds range, received {}, '
'but expected between 0 and {}'.format(
split_id,
len(splits) - 1))
split = splits[split_id]
train = split['train']
query = split['query']
gallery = split['gallery']
train = [tuple(item + ['grid'] + [item[1]]) for item in train]
query = [tuple(item + ['grid'] + [item[1]]) for item in query]
gallery = [tuple(item + ['grid'] + [item[1]]) for item in gallery]
super(GRID, self).__init__(train, query, gallery, **kwargs)
def __init__(
self,
root='',
split_id=0,
cuhk03_labeled=False,
cuhk03_classic_split=False,
**kwargs
):
self.root = osp.abspath(osp.expanduser(root))
self.dataset_dir = osp.join(self.root, self.dataset_dir)
self.download_dataset(self.dataset_dir, self.dataset_url)
self.data_dir = osp.join(self.dataset_dir, 'cuhk03_release')
self.raw_mat_path = osp.join(self.data_dir, 'cuhk-03.mat')
self.imgs_detected_dir = osp.join(self.dataset_dir, 'images_detected')
self.imgs_labeled_dir = osp.join(self.dataset_dir, 'images_labeled')
self.split_classic_det_json_path = osp.join(
self.dataset_dir, 'splits_classic_detected.json'
)
self.split_classic_lab_json_path = osp.join(
self.dataset_dir, 'splits_classic_labeled.json'
)
self.split_new_det_json_path = osp.join(
self.dataset_dir, 'splits_new_detected.json'
)
self.split_new_lab_json_path = osp.join(
self.dataset_dir, 'splits_new_labeled.json'
)
self.split_new_det_mat_path = osp.join(
self.dataset_dir, 'cuhk03_new_protocol_config_detected.mat'
)
self.split_new_lab_mat_path = osp.join(
self.dataset_dir, 'cuhk03_new_protocol_config_labeled.mat'
)
required_files = [
self.dataset_dir, self.data_dir, self.raw_mat_path,
self.split_new_det_mat_path, self.split_new_lab_mat_path
]
self.check_before_run(required_files)
self.preprocess_split()
if cuhk03_labeled:
split_path = self.split_classic_lab_json_path if cuhk03_classic_split else self.split_new_lab_json_path
else:
split_path = self.split_classic_det_json_path if cuhk03_classic_split else self.split_new_det_json_path
splits = read_json(split_path)
assert split_id < len(
splits
), 'Condition split_id ({}) < len(splits) ({}) is false'.format(
split_id, len(splits)
)
split = splits[split_id]
train = split['train']
query = split['query']
gallery = split['gallery']
super(CUHK03, self).__init__(train, query, gallery, **kwargs)