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# Copyright (c) OpenMMLab. All rights reserved.
import json
import os
import os.path as osp
import shutil
from typing import List, Tuple
from mmocr.registry import DATA_GATHERERS
from .base import BaseGatherer
@DATA_GATHERERS.register_module()
class NAFGatherer(BaseGatherer):
"""Gather the dataset file from NAF dataset. Specifically for the case that
there is a split file that contains the names of different splits. For
example,
img_001.jpg train: img_001.jpg
img_002.jpg ---> split_file ---> test: img_002.jpg
img_003.jpg val: img_003.jpg
Args:
split_file (str, optional): The name of the split file. Defaults to
"data_split.json".
temp_dir (str, optional): The directory of the temporary images.
Defaults to "temp_images".
"""
def __init__(self,
split_file='data_split.json',
temp_dir: str = 'temp_images',
**kwargs) -> None:
super().__init__(**kwargs)
self.temp_dir = temp_dir
self.split_file = split_file
def __call__(self) -> Tuple[List[str], List[str]]:
"""
Returns:
tuple(list[str], list[str]): The list of image paths and the list
of annotation paths.
"""
split_file = osp.join(self.data_root, self.split_file)
with open(split_file, 'r') as f:
split_data = json.load(f)
img_list = list()
ann_list = list()
# Rename the key
split_data['val'] = split_data.pop('valid')
if not osp.exists(self.img_dir):
os.makedirs(self.img_dir)
current_split_data = split_data[self.split]
for groups in current_split_data:
for img_name in current_split_data[groups]:
src_img = osp.join(self.data_root, self.temp_dir, img_name)
dst_img = osp.join(self.img_dir, img_name)
if not osp.exists(src_img):
Warning(f'{src_img} does not exist!')
continue
# move the image to the new path
shutil.move(src_img, dst_img)
ann = osp.join(self.ann_dir, img_name.replace('.jpg', '.json'))
img_list.append(dst_img)
ann_list.append(ann)
return img_list, ann_list
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