# encoding: utf-8
import os
from glob import glob

from fastreid.data.datasets import DATASET_REGISTRY
from fastreid.data.datasets.bases import ImageDataset

__all__ = ['PeS3D',]


@DATASET_REGISTRY.register()
class PeS3D(ImageDataset):
    """3Dpes
    """
    dataset_dir = "3DPeS"
    dataset_name = "pes3d"

    def __init__(self, root='datasets', **kwargs):
        self.root = root
        self.train_path = os.path.join(self.root, self.dataset_dir)

        required_files = [self.train_path]
        self.check_before_run(required_files)

        train = self.process_train(self.train_path)

        super().__init__(train, [], [], **kwargs)

    def process_train(self, train_path):
        data = []

        pid_list = os.listdir(train_path)
        for pid_dir in pid_list:
            pid = self.dataset_name + "_" + pid_dir
            img_list = glob(os.path.join(train_path, pid_dir,  "*.bmp"))
            for img_path in img_list:
                camid = self.dataset_name + "_cam0"
                data.append([img_path, pid, camid])
        return data
