5abfee7d6afc4cac89bdf041470f91570ed6b8e6,chainercv/datasets/cityscapes/cityscapes_semantic_segmentation_dataset.py,CityscapesSemanticSegmentationDataset,__init__,#CityscapesSemanticSegmentationDataset#Any#Any#Any#Any#,36

Before Change

        img_dir = os.path.join(img_dir, split)
        self.ignore_labels = ignore_labels

        self.label_fns, self.img_fns = [], []
        resol = os.path.basename(label_dir)
        for dname in glob.glob("{}/*".format(label_dir)):
            if split in dname:

After Change

                 ignore_labels=True):
        data_root = download.get_dataset_directory(
            "pfnet/chainercv/cityscapes")
        base_path = os.path.join(data_root, "cityscapes")
        if img_dir is None:
            img_dir = os.path.join(base_path, "leftImg8bit")
        if label_dir is None:
            label_dir = os.path.join(base_path, "gtFine")
        img_dir = os.path.join(img_dir, split)
        self.ignore_labels = ignore_labels

        self.label_fnames = list()
        self.img_fnames = list()
        resol = os.path.basename(label_dir)
        for dname in glob.glob(os.path.join(label_dir, "*")):
            if split in dname:
                for label_fname in glob.glob(
                        os.path.join(dname, "*", "*_labelIds.png")):
                    self.label_fnames.append(label_fname)
        for label_fname in self.label_fnames:
            img_fname = label_fname.replace(resol, "leftImg8bit")

Instances