mirror of
https://github.com/michuanhaohao/reid-strong-baseline.git
synced 2025-06-03 14:49:34 +08:00
86 lines
3.2 KiB
Python
86 lines
3.2 KiB
Python
# encoding: utf-8
|
|
"""
|
|
@author: sherlock
|
|
@contact: sherlockliao01@gmail.com
|
|
"""
|
|
|
|
import glob
|
|
import re
|
|
|
|
import os.path as osp
|
|
|
|
from .bases import BaseImageDataset
|
|
|
|
|
|
class Market1501(BaseImageDataset):
|
|
"""
|
|
Market1501
|
|
Reference:
|
|
Zheng et al. Scalable Person Re-identification: A Benchmark. ICCV 2015.
|
|
URL: http://www.liangzheng.org/Project/project_reid.html
|
|
|
|
Dataset statistics:
|
|
# identities: 1501 (+1 for background)
|
|
# images: 12936 (train) + 3368 (query) + 15913 (gallery)
|
|
"""
|
|
dataset_dir = 'market1501'
|
|
|
|
def __init__(self, root='/home/haoluo/data', verbose=True, **kwargs):
|
|
super(Market1501, self).__init__()
|
|
self.dataset_dir = osp.join(root, self.dataset_dir)
|
|
self.train_dir = osp.join(self.dataset_dir, 'bounding_box_train')
|
|
self.query_dir = osp.join(self.dataset_dir, 'query')
|
|
self.gallery_dir = osp.join(self.dataset_dir, 'bounding_box_test')
|
|
|
|
self._check_before_run()
|
|
|
|
train = self._process_dir(self.train_dir, relabel=True)
|
|
query = self._process_dir(self.query_dir, relabel=False)
|
|
gallery = self._process_dir(self.gallery_dir, relabel=False)
|
|
|
|
if verbose:
|
|
print("=> Market1501 loaded")
|
|
self.print_dataset_statistics(train, query, gallery)
|
|
|
|
self.train = train
|
|
self.query = query
|
|
self.gallery = gallery
|
|
|
|
self.num_train_pids, self.num_train_imgs, self.num_train_cams = self.get_imagedata_info(self.train)
|
|
self.num_query_pids, self.num_query_imgs, self.num_query_cams = self.get_imagedata_info(self.query)
|
|
self.num_gallery_pids, self.num_gallery_imgs, self.num_gallery_cams = self.get_imagedata_info(self.gallery)
|
|
|
|
def _check_before_run(self):
|
|
"""Check if all files are available before going deeper"""
|
|
if not osp.exists(self.dataset_dir):
|
|
raise RuntimeError("'{}' is not available".format(self.dataset_dir))
|
|
if not osp.exists(self.train_dir):
|
|
raise RuntimeError("'{}' is not available".format(self.train_dir))
|
|
if not osp.exists(self.query_dir):
|
|
raise RuntimeError("'{}' is not available".format(self.query_dir))
|
|
if not osp.exists(self.gallery_dir):
|
|
raise RuntimeError("'{}' is not available".format(self.gallery_dir))
|
|
|
|
def _process_dir(self, dir_path, relabel=False):
|
|
img_paths = glob.glob(osp.join(dir_path, '*.jpg'))
|
|
pattern = re.compile(r'([-\d]+)_c(\d)')
|
|
|
|
pid_container = set()
|
|
for img_path in img_paths:
|
|
pid, _ = map(int, pattern.search(img_path).groups())
|
|
if pid == -1: continue # junk images are just ignored
|
|
pid_container.add(pid)
|
|
pid2label = {pid: label for label, pid in enumerate(pid_container)}
|
|
|
|
dataset = []
|
|
for img_path in img_paths:
|
|
pid, camid = map(int, pattern.search(img_path).groups())
|
|
if pid == -1: continue # junk images are just ignored
|
|
assert 0 <= pid <= 1501 # pid == 0 means background
|
|
assert 1 <= camid <= 6
|
|
camid -= 1 # index starts from 0
|
|
if relabel: pid = pid2label[pid]
|
|
dataset.append((img_path, pid, camid))
|
|
|
|
return dataset
|