2019-03-24 17:22:43 +00:00
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2019-03-24 17:22:43 +00:00
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< h1 > Source code for torchreid.data.datasets.image.cuhk01< / h1 > < div class = "highlight" > < pre >
< span > < / span > < span class = "kn" > from< / span > < span class = "nn" > __future__< / span > < span class = "k" > import< / span > < span class = "n" > absolute_import< / span >
< span class = "kn" > from< / span > < span class = "nn" > __future__< / span > < span class = "k" > import< / span > < span class = "n" > print_function< / span >
< span class = "kn" > from< / span > < span class = "nn" > __future__< / span > < span class = "k" > import< / span > < span class = "n" > division< / span >
< span class = "kn" > import< / span > < span class = "nn" > sys< / span >
< span class = "kn" > import< / span > < span class = "nn" > os< / span >
< span class = "kn" > import< / span > < span class = "nn" > os.path< / span > < span class = "k" > as< / span > < span class = "nn" > osp< / span >
< span class = "kn" > import< / span > < span class = "nn" > glob< / span >
< span class = "kn" > import< / span > < span class = "nn" > zipfile< / span >
< span class = "kn" > import< / span > < span class = "nn" > numpy< / span > < span class = "k" > as< / span > < span class = "nn" > np< / span >
< span class = "kn" > from< / span > < span class = "nn" > torchreid.data.datasets< / span > < span class = "k" > import< / span > < span class = "n" > ImageDataset< / span >
< span class = "kn" > from< / span > < span class = "nn" > torchreid.utils< / span > < span class = "k" > import< / span > < span class = "n" > read_json< / span > < span class = "p" > ,< / span > < span class = "n" > write_json< / span >
< div class = "viewcode-block" id = "CUHK01" > < a class = "viewcode-back" href = "../../../../../pkg/data.html#torchreid.data.datasets.image.cuhk01.CUHK01" > [docs]< / a > < span class = "k" > class< / span > < span class = "nc" > CUHK01< / span > < span class = "p" > (< / span > < span class = "n" > ImageDataset< / span > < span class = "p" > ):< / span >
< span class = "sd" > " " " CUHK01.< / span >
< span class = "sd" > Reference:< / span >
< span class = "sd" > Li et al. Human Reidentification with Transferred Metric Learning. ACCV 2012.< / span >
< span class = "sd" > URL: `< http://www.ee.cuhk.edu.hk/~xgwang/CUHK_identification.html> `_< / span >
< span class = "sd" > < / span >
< span class = "sd" > Dataset statistics:< / span >
< span class = "sd" > - identities: 971.< / span >
< span class = "sd" > - images: 3884.< / span >
< span class = "sd" > - cameras: 4.< / span >
< span class = "sd" > " " " < / span >
< span class = "n" > dataset_dir< / span > < span class = "o" > =< / span > < span class = "s1" > ' cuhk01' < / span >
< span class = "n" > dataset_url< / span > < span class = "o" > =< / span > < span class = "kc" > None< / span >
< span class = "k" > def< / span > < span class = "nf" > __init__< / span > < span class = "p" > (< / span > < span class = "bp" > self< / span > < span class = "p" > ,< / span > < span class = "n" > root< / span > < span class = "o" > =< / span > < span class = "s1" > ' ' < / span > < span class = "p" > ,< / span > < span class = "n" > split_id< / span > < span class = "o" > =< / span > < span class = "mi" > 0< / span > < span class = "p" > ,< / span > < span class = "o" > **< / span > < span class = "n" > kwargs< / span > < span class = "p" > ):< / span >
< span class = "bp" > self< / span > < span class = "o" > .< / span > < span class = "n" > root< / span > < span class = "o" > =< / span > < span class = "n" > osp< / span > < span class = "o" > .< / span > < span class = "n" > abspath< / span > < span class = "p" > (< / span > < span class = "n" > osp< / span > < span class = "o" > .< / span > < span class = "n" > expanduser< / span > < span class = "p" > (< / span > < span class = "n" > root< / span > < span class = "p" > ))< / span >
< span class = "bp" > self< / span > < span class = "o" > .< / span > < span class = "n" > dataset_dir< / span > < span class = "o" > =< / span > < span class = "n" > osp< / span > < span class = "o" > .< / span > < span class = "n" > join< / span > < span class = "p" > (< / span > < span class = "bp" > self< / span > < span class = "o" > .< / span > < span class = "n" > root< / span > < span class = "p" > ,< / span > < span class = "bp" > self< / span > < span class = "o" > .< / span > < span class = "n" > dataset_dir< / span > < span class = "p" > )< / span >
< span class = "bp" > self< / span > < span class = "o" > .< / span > < span class = "n" > download_dataset< / span > < span class = "p" > (< / span > < span class = "bp" > self< / span > < span class = "o" > .< / span > < span class = "n" > dataset_dir< / span > < span class = "p" > ,< / span > < span class = "bp" > self< / span > < span class = "o" > .< / span > < span class = "n" > dataset_url< / span > < span class = "p" > )< / span >
< span class = "bp" > self< / span > < span class = "o" > .< / span > < span class = "n" > zip_path< / span > < span class = "o" > =< / span > < span class = "n" > osp< / span > < span class = "o" > .< / span > < span class = "n" > join< / span > < span class = "p" > (< / span > < span class = "bp" > self< / span > < span class = "o" > .< / span > < span class = "n" > dataset_dir< / span > < span class = "p" > ,< / span > < span class = "s1" > ' CUHK01.zip' < / span > < span class = "p" > )< / span >
< span class = "bp" > self< / span > < span class = "o" > .< / span > < span class = "n" > campus_dir< / span > < span class = "o" > =< / span > < span class = "n" > osp< / span > < span class = "o" > .< / span > < span class = "n" > join< / span > < span class = "p" > (< / span > < span class = "bp" > self< / span > < span class = "o" > .< / span > < span class = "n" > dataset_dir< / span > < span class = "p" > ,< / span > < span class = "s1" > ' campus' < / span > < span class = "p" > )< / span >
< span class = "bp" > self< / span > < span class = "o" > .< / span > < span class = "n" > split_path< / span > < span class = "o" > =< / span > < span class = "n" > osp< / span > < span class = "o" > .< / span > < span class = "n" > join< / span > < span class = "p" > (< / span > < span class = "bp" > self< / span > < span class = "o" > .< / span > < span class = "n" > dataset_dir< / span > < span class = "p" > ,< / span > < span class = "s1" > ' splits.json' < / span > < span class = "p" > )< / span >
< span class = "bp" > self< / span > < span class = "o" > .< / span > < span class = "n" > extract_file< / span > < span class = "p" > ()< / span >
< span class = "n" > required_files< / span > < span class = "o" > =< / span > < span class = "p" > [< / span >
< span class = "bp" > self< / span > < span class = "o" > .< / span > < span class = "n" > dataset_dir< / span > < span class = "p" > ,< / span >
< span class = "bp" > self< / span > < span class = "o" > .< / span > < span class = "n" > campus_dir< / span >
< span class = "p" > ]< / span >
< span class = "bp" > self< / span > < span class = "o" > .< / span > < span class = "n" > check_before_run< / span > < span class = "p" > (< / span > < span class = "n" > required_files< / span > < span class = "p" > )< / span >
< span class = "bp" > self< / span > < span class = "o" > .< / span > < span class = "n" > prepare_split< / span > < span class = "p" > ()< / span >
< span class = "n" > splits< / span > < span class = "o" > =< / span > < span class = "n" > read_json< / span > < span class = "p" > (< / span > < span class = "bp" > self< / span > < span class = "o" > .< / span > < span class = "n" > split_path< / span > < span class = "p" > )< / span >
< span class = "k" > if< / span > < span class = "n" > split_id< / span > < span class = "o" > > =< / span > < span class = "nb" > len< / span > < span class = "p" > (< / span > < span class = "n" > splits< / span > < span class = "p" > ):< / span >
< span class = "k" > raise< / span > < span class = "ne" > ValueError< / span > < span class = "p" > (< / span > < span class = "s1" > ' split_id exceeds range, received < / span > < span class = "si" > {}< / span > < span class = "s1" > , but expected between 0 and < / span > < span class = "si" > {}< / span > < span class = "s1" > ' < / span > < span class = "o" > .< / span > < span class = "n" > format< / span > < span class = "p" > (< / span > < span class = "n" > split_id< / span > < span class = "p" > ,< / span > < span class = "nb" > len< / span > < span class = "p" > (< / span > < span class = "n" > splits< / span > < span class = "p" > )< / span > < span class = "o" > -< / span > < span class = "mi" > 1< / span > < span class = "p" > ))< / span >
< span class = "n" > split< / span > < span class = "o" > =< / span > < span class = "n" > splits< / span > < span class = "p" > [< / span > < span class = "n" > split_id< / span > < span class = "p" > ]< / span >
< span class = "n" > train< / span > < span class = "o" > =< / span > < span class = "n" > split< / span > < span class = "p" > [< / span > < span class = "s1" > ' train' < / span > < span class = "p" > ]< / span >
< span class = "n" > query< / span > < span class = "o" > =< / span > < span class = "n" > split< / span > < span class = "p" > [< / span > < span class = "s1" > ' query' < / span > < span class = "p" > ]< / span >
< span class = "n" > gallery< / span > < span class = "o" > =< / span > < span class = "n" > split< / span > < span class = "p" > [< / span > < span class = "s1" > ' gallery' < / span > < span class = "p" > ]< / span >
< span class = "n" > train< / span > < span class = "o" > =< / span > < span class = "p" > [< / span > < span class = "nb" > tuple< / span > < span class = "p" > (< / span > < span class = "n" > item< / span > < span class = "p" > )< / span > < span class = "k" > for< / span > < span class = "n" > item< / span > < span class = "ow" > in< / span > < span class = "n" > train< / span > < span class = "p" > ]< / span >
< span class = "n" > query< / span > < span class = "o" > =< / span > < span class = "p" > [< / span > < span class = "nb" > tuple< / span > < span class = "p" > (< / span > < span class = "n" > item< / span > < span class = "p" > )< / span > < span class = "k" > for< / span > < span class = "n" > item< / span > < span class = "ow" > in< / span > < span class = "n" > query< / span > < span class = "p" > ]< / span >
< span class = "n" > gallery< / span > < span class = "o" > =< / span > < span class = "p" > [< / span > < span class = "nb" > tuple< / span > < span class = "p" > (< / span > < span class = "n" > item< / span > < span class = "p" > )< / span > < span class = "k" > for< / span > < span class = "n" > item< / span > < span class = "ow" > in< / span > < span class = "n" > gallery< / span > < span class = "p" > ]< / span >
< span class = "nb" > super< / span > < span class = "p" > (< / span > < span class = "n" > CUHK01< / span > < span class = "p" > ,< / span > < span class = "bp" > self< / span > < span class = "p" > )< / span > < span class = "o" > .< / span > < span class = "fm" > __init__< / span > < span class = "p" > (< / span > < span class = "n" > train< / span > < span class = "p" > ,< / span > < span class = "n" > query< / span > < span class = "p" > ,< / span > < span class = "n" > gallery< / span > < span class = "p" > ,< / span > < span class = "o" > **< / span > < span class = "n" > kwargs< / span > < span class = "p" > )< / span >
< span class = "k" > def< / span > < span class = "nf" > extract_file< / span > < span class = "p" > (< / span > < span class = "bp" > self< / span > < span class = "p" > ):< / span >
< span class = "k" > if< / span > < span class = "ow" > not< / span > < span class = "n" > osp< / span > < span class = "o" > .< / span > < span class = "n" > exists< / span > < span class = "p" > (< / span > < span class = "bp" > self< / span > < span class = "o" > .< / span > < span class = "n" > campus_dir< / span > < span class = "p" > ):< / span >
< span class = "nb" > print< / span > < span class = "p" > (< / span > < span class = "s1" > ' Extracting files' < / span > < span class = "p" > )< / span >
< span class = "n" > zip_ref< / span > < span class = "o" > =< / span > < span class = "n" > zipfile< / span > < span class = "o" > .< / span > < span class = "n" > ZipFile< / span > < span class = "p" > (< / span > < span class = "bp" > self< / span > < span class = "o" > .< / span > < span class = "n" > zip_path< / span > < span class = "p" > ,< / span > < span class = "s1" > ' r' < / span > < span class = "p" > )< / span >
< span class = "n" > zip_ref< / span > < span class = "o" > .< / span > < span class = "n" > extractall< / span > < span class = "p" > (< / span > < span class = "bp" > self< / span > < span class = "o" > .< / span > < span class = "n" > dataset_dir< / span > < span class = "p" > )< / span >
< span class = "n" > zip_ref< / span > < span class = "o" > .< / span > < span class = "n" > close< / span > < span class = "p" > ()< / span >
< div class = "viewcode-block" id = "CUHK01.prepare_split" > < a class = "viewcode-back" href = "../../../../../pkg/data.html#torchreid.data.datasets.image.cuhk01.CUHK01.prepare_split" > [docs]< / a > < span class = "k" > def< / span > < span class = "nf" > prepare_split< / span > < span class = "p" > (< / span > < span class = "bp" > self< / span > < span class = "p" > ):< / span >
< span class = "sd" > " " " < / span >
< span class = "sd" > Image name format: 0001001.png, where first four digits represent identity< / span >
< span class = "sd" > and last four digits represent cameras. Camera 1& 2 are considered the same< / span >
< span class = "sd" > view and camera 3& 4 are considered the same view.< / span >
< span class = "sd" > " " " < / span >
< span class = "k" > if< / span > < span class = "ow" > not< / span > < span class = "n" > osp< / span > < span class = "o" > .< / span > < span class = "n" > exists< / span > < span class = "p" > (< / span > < span class = "bp" > self< / span > < span class = "o" > .< / span > < span class = "n" > split_path< / span > < span class = "p" > ):< / span >
< span class = "nb" > print< / span > < span class = "p" > (< / span > < span class = "s1" > ' Creating 10 random splits of train ids and test ids' < / span > < span class = "p" > )< / span >
< span class = "n" > img_paths< / span > < span class = "o" > =< / span > < span class = "nb" > sorted< / span > < span class = "p" > (< / span > < span class = "n" > glob< / span > < span class = "o" > .< / span > < span class = "n" > glob< / span > < span class = "p" > (< / span > < span class = "n" > osp< / span > < span class = "o" > .< / span > < span class = "n" > join< / span > < span class = "p" > (< / span > < span class = "bp" > self< / span > < span class = "o" > .< / span > < span class = "n" > campus_dir< / span > < span class = "p" > ,< / span > < span class = "s1" > ' *.png' < / span > < span class = "p" > )))< / span >
< span class = "n" > img_list< / span > < span class = "o" > =< / span > < span class = "p" > []< / span >
< span class = "n" > pid_container< / span > < span class = "o" > =< / span > < span class = "nb" > set< / span > < span class = "p" > ()< / span >
< span class = "k" > for< / span > < span class = "n" > img_path< / span > < span class = "ow" > in< / span > < span class = "n" > img_paths< / span > < span class = "p" > :< / span >
< span class = "n" > img_name< / span > < span class = "o" > =< / span > < span class = "n" > osp< / span > < span class = "o" > .< / span > < span class = "n" > basename< / span > < span class = "p" > (< / span > < span class = "n" > img_path< / span > < span class = "p" > )< / span >
< span class = "n" > pid< / span > < span class = "o" > =< / span > < span class = "nb" > int< / span > < span class = "p" > (< / span > < span class = "n" > img_name< / span > < span class = "p" > [:< / span > < span class = "mi" > 4< / span > < span class = "p" > ])< / span > < span class = "o" > -< / span > < span class = "mi" > 1< / span >
< span class = "n" > camid< / span > < span class = "o" > =< / span > < span class = "p" > (< / span > < span class = "nb" > int< / span > < span class = "p" > (< / span > < span class = "n" > img_name< / span > < span class = "p" > [< / span > < span class = "mi" > 4< / span > < span class = "p" > :< / span > < span class = "mi" > 7< / span > < span class = "p" > ])< / span > < span class = "o" > -< / span > < span class = "mi" > 1< / span > < span class = "p" > )< / span > < span class = "o" > //< / span > < span class = "mi" > 2< / span > < span class = "c1" > # result is either 0 or 1< / span >
< span class = "n" > img_list< / span > < span class = "o" > .< / span > < span class = "n" > append< / span > < span class = "p" > ((< / span > < span class = "n" > img_path< / span > < span class = "p" > ,< / span > < span class = "n" > pid< / span > < span class = "p" > ,< / span > < span class = "n" > camid< / span > < span class = "p" > ))< / span >
< span class = "n" > pid_container< / span > < span class = "o" > .< / span > < span class = "n" > add< / span > < span class = "p" > (< / span > < span class = "n" > pid< / span > < span class = "p" > )< / span >
< span class = "n" > num_pids< / span > < span class = "o" > =< / span > < span class = "nb" > len< / span > < span class = "p" > (< / span > < span class = "n" > pid_container< / span > < span class = "p" > )< / span >
< span class = "n" > num_train_pids< / span > < span class = "o" > =< / span > < span class = "n" > num_pids< / span > < span class = "o" > //< / span > < span class = "mi" > 2< / span >
< span class = "n" > splits< / span > < span class = "o" > =< / span > < span class = "p" > []< / span >
< span class = "k" > for< / span > < span class = "n" > _< / span > < span class = "ow" > in< / span > < span class = "nb" > range< / span > < span class = "p" > (< / span > < span class = "mi" > 10< / span > < span class = "p" > ):< / span >
< span class = "n" > order< / span > < span class = "o" > =< / span > < span class = "n" > np< / span > < span class = "o" > .< / span > < span class = "n" > arange< / span > < span class = "p" > (< / span > < span class = "n" > num_pids< / span > < span class = "p" > )< / span >
< span class = "n" > np< / span > < span class = "o" > .< / span > < span class = "n" > random< / span > < span class = "o" > .< / span > < span class = "n" > shuffle< / span > < span class = "p" > (< / span > < span class = "n" > order< / span > < span class = "p" > )< / span >
< span class = "n" > train_idxs< / span > < span class = "o" > =< / span > < span class = "n" > order< / span > < span class = "p" > [:< / span > < span class = "n" > num_train_pids< / span > < span class = "p" > ]< / span >
< span class = "n" > train_idxs< / span > < span class = "o" > =< / span > < span class = "n" > np< / span > < span class = "o" > .< / span > < span class = "n" > sort< / span > < span class = "p" > (< / span > < span class = "n" > train_idxs< / span > < span class = "p" > )< / span >
< span class = "n" > idx2label< / span > < span class = "o" > =< / span > < span class = "p" > {< / span > < span class = "n" > idx< / span > < span class = "p" > :< / span > < span class = "n" > label< / span > < span class = "k" > for< / span > < span class = "n" > label< / span > < span class = "p" > ,< / span > < span class = "n" > idx< / span > < span class = "ow" > in< / span > < span class = "nb" > enumerate< / span > < span class = "p" > (< / span > < span class = "n" > train_idxs< / span > < span class = "p" > )}< / span >
< span class = "n" > train< / span > < span class = "p" > ,< / span > < span class = "n" > test_a< / span > < span class = "p" > ,< / span > < span class = "n" > test_b< / span > < span class = "o" > =< / span > < span class = "p" > [],< / span > < span class = "p" > [],< / span > < span class = "p" > []< / span >
< span class = "k" > for< / span > < span class = "n" > img_path< / span > < span class = "p" > ,< / span > < span class = "n" > pid< / span > < span class = "p" > ,< / span > < span class = "n" > camid< / span > < span class = "ow" > in< / span > < span class = "n" > img_list< / span > < span class = "p" > :< / span >
< span class = "k" > if< / span > < span class = "n" > pid< / span > < span class = "ow" > in< / span > < span class = "n" > train_idxs< / span > < span class = "p" > :< / span >
< span class = "n" > train< / span > < span class = "o" > .< / span > < span class = "n" > append< / span > < span class = "p" > ((< / span > < span class = "n" > img_path< / span > < span class = "p" > ,< / span > < span class = "n" > idx2label< / span > < span class = "p" > [< / span > < span class = "n" > pid< / span > < span class = "p" > ],< / span > < span class = "n" > camid< / span > < span class = "p" > ))< / span >
< span class = "k" > else< / span > < span class = "p" > :< / span >
< span class = "k" > if< / span > < span class = "n" > camid< / span > < span class = "o" > ==< / span > < span class = "mi" > 0< / span > < span class = "p" > :< / span >
< span class = "n" > test_a< / span > < span class = "o" > .< / span > < span class = "n" > append< / span > < span class = "p" > ((< / span > < span class = "n" > img_path< / span > < span class = "p" > ,< / span > < span class = "n" > pid< / span > < span class = "p" > ,< / span > < span class = "n" > camid< / span > < span class = "p" > ))< / span >
< span class = "k" > else< / span > < span class = "p" > :< / span >
< span class = "n" > test_b< / span > < span class = "o" > .< / span > < span class = "n" > append< / span > < span class = "p" > ((< / span > < span class = "n" > img_path< / span > < span class = "p" > ,< / span > < span class = "n" > pid< / span > < span class = "p" > ,< / span > < span class = "n" > camid< / span > < span class = "p" > ))< / span >
< span class = "c1" > # use cameraA as query and cameraB as gallery< / span >
< span class = "n" > split< / span > < span class = "o" > =< / span > < span class = "p" > {< / span >
< span class = "s1" > ' train' < / span > < span class = "p" > :< / span > < span class = "n" > train< / span > < span class = "p" > ,< / span >
< span class = "s1" > ' query' < / span > < span class = "p" > :< / span > < span class = "n" > test_a< / span > < span class = "p" > ,< / span >
< span class = "s1" > ' gallery' < / span > < span class = "p" > :< / span > < span class = "n" > test_b< / span > < span class = "p" > ,< / span >
< span class = "s1" > ' num_train_pids' < / span > < span class = "p" > :< / span > < span class = "n" > num_train_pids< / span > < span class = "p" > ,< / span >
< span class = "s1" > ' num_query_pids' < / span > < span class = "p" > :< / span > < span class = "n" > num_pids< / span > < span class = "o" > -< / span > < span class = "n" > num_train_pids< / span > < span class = "p" > ,< / span >
< span class = "s1" > ' num_gallery_pids' < / span > < span class = "p" > :< / span > < span class = "n" > num_pids< / span > < span class = "o" > -< / span > < span class = "n" > num_train_pids< / span >
< span class = "p" > }< / span >
< span class = "n" > splits< / span > < span class = "o" > .< / span > < span class = "n" > append< / span > < span class = "p" > (< / span > < span class = "n" > split< / span > < span class = "p" > )< / span >
< span class = "c1" > # use cameraB as query and cameraA as gallery< / span >
< span class = "n" > split< / span > < span class = "o" > =< / span > < span class = "p" > {< / span >
< span class = "s1" > ' train' < / span > < span class = "p" > :< / span > < span class = "n" > train< / span > < span class = "p" > ,< / span >
< span class = "s1" > ' query' < / span > < span class = "p" > :< / span > < span class = "n" > test_b< / span > < span class = "p" > ,< / span >
< span class = "s1" > ' gallery' < / span > < span class = "p" > :< / span > < span class = "n" > test_a< / span > < span class = "p" > ,< / span >
< span class = "s1" > ' num_train_pids' < / span > < span class = "p" > :< / span > < span class = "n" > num_train_pids< / span > < span class = "p" > ,< / span >
< span class = "s1" > ' num_query_pids' < / span > < span class = "p" > :< / span > < span class = "n" > num_pids< / span > < span class = "o" > -< / span > < span class = "n" > num_train_pids< / span > < span class = "p" > ,< / span >
< span class = "s1" > ' num_gallery_pids' < / span > < span class = "p" > :< / span > < span class = "n" > num_pids< / span > < span class = "o" > -< / span > < span class = "n" > num_train_pids< / span >
< span class = "p" > }< / span >
< span class = "n" > splits< / span > < span class = "o" > .< / span > < span class = "n" > append< / span > < span class = "p" > (< / span > < span class = "n" > split< / span > < span class = "p" > )< / span >
< span class = "nb" > print< / span > < span class = "p" > (< / span > < span class = "s1" > ' Totally < / span > < span class = "si" > {}< / span > < span class = "s1" > splits are created' < / span > < span class = "o" > .< / span > < span class = "n" > format< / span > < span class = "p" > (< / span > < span class = "nb" > len< / span > < span class = "p" > (< / span > < span class = "n" > splits< / span > < span class = "p" > )))< / span >
< span class = "n" > write_json< / span > < span class = "p" > (< / span > < span class = "n" > splits< / span > < span class = "p" > ,< / span > < span class = "bp" > self< / span > < span class = "o" > .< / span > < span class = "n" > split_path< / span > < span class = "p" > )< / span >
< span class = "nb" > print< / span > < span class = "p" > (< / span > < span class = "s1" > ' Split file saved to < / span > < span class = "si" > {}< / span > < span class = "s1" > ' < / span > < span class = "o" > .< / span > < span class = "n" > format< / span > < span class = "p" > (< / span > < span class = "bp" > self< / span > < span class = "o" > .< / span > < span class = "n" > split_path< / span > < span class = "p" > ))< / span > < / div > < / div >
< / pre > < / div >
< / div >
< / div >
< footer >
< hr / >
< div role = "contentinfo" >
< p >
© Copyright 2019, Kaiyang Zhou
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