text: # encoding: utf-8
  """
  @author:  sherlock
  @contact: sherlockliao01@gmail.com
  """
  
  import glob
  import re
  
  import os.path as osp
  
  from .bases import BaseImageDataset
  
  
  class VeRi(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: 776 (+1 for background)
      # images: 37778 (train) + 1578 (query) + 11579 (gallery)
      """
      dataset_dir = 'VeRi'
  
      def __init__(self, root='/home/haoluo/data', verbose=True, **kwargs):
          super(VeRi, self).__init__()
          self.dataset_dir = osp.join(root, self.dataset_dir)
          self.train_dir = osp.join(self.dataset_dir, 'image_train')
          self.query_dir = osp.join(self.dataset_dir, 'image_query')
          self.gallery_dir = osp.join(self.dataset_dir, 'image_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("=> VeRi 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.num_train_tids = self.get_imagedata_info(self.train)
          self.num_query_pids, self.num_query_imgs, self.num_query_cams, self.num_query_tids = self.get_imagedata_info(self.query)
          self.num_gallery_pids, self.num_gallery_imgs, self.num_gallery_cams, self.num_gallery_tids = 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()
          tid_container = set()
          for img_path in img_paths:
              pid, camid = map(int, pattern.search(img_path).groups())
              if pid == -1: continue  # junk images are just ignored
              pid_container.add(pid)
              tid_container.add((pid, camid))
          pid2label = {pid: label for label, pid in enumerate(pid_container)}
          tid2label = {tid: label for label, tid in enumerate(tid_container)}
  
          dataset = []
          for img_path in img_paths:
              pid, camid = map(int, pattern.search(img_path).groups())
              tid = int(tid2label[(pid, camid)])
              if pid == -1: continue  # junk images are just ignored
              camid -= 1  # index starts from 0
              if relabel: pid = pid2label[pid]
              dataset.append((img_path, pid, camid, tid))
  
          return dataset
  