# Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. import os import sys __dir__ = os.path.dirname(os.path.abspath(__file__)) sys.path.append(__dir__) sys.path.append(os.path.abspath(os.path.join(__dir__, '../..'))) import cv2 import json from tqdm import tqdm from ppstructure.table.table_metric import TEDS from ppstructure.table.predict_table import TableSystem from ppstructure.utility import init_args def parse_args(): parser = init_args() parser.add_argument("--gt_path", type=str) return parser.parse_args() def main(gt_path, img_root, args): teds = TEDS(n_jobs=16) text_sys = TableSystem(args) jsons_gt = json.load(open(gt_path)) # gt pred_htmls = [] gt_htmls = [] for img_name in tqdm(jsons_gt): # 读取信息 img = cv2.imread(os.path.join(img_root,img_name)) pred_html = text_sys(img) pred_htmls.append(pred_html) gt_structures, gt_bboxes, gt_contents, contents_with_block = jsons_gt[img_name] gt_html, gt = get_gt_html(gt_structures, contents_with_block) # 获取HTMLgt gt_htmls.append(gt_html) scores = teds.batch_evaluate_html(gt_htmls, pred_htmls) # 计算teds print('teds:', sum(scores) / len(scores)) def get_gt_html(gt_structures, contents_with_block): end_html = [] td_index = 0 for tag in gt_structures: if '' in tag: if contents_with_block[td_index] != []: end_html.extend(contents_with_block[td_index]) end_html.append(tag) td_index += 1 else: end_html.append(tag) return ''.join(end_html), end_html if __name__ == '__main__': args = parse_args() main(args.gt_path,args.image_dir, args)