# 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 import subprocess __dir__ = os.path.dirname(os.path.abspath(__file__)) sys.path.append(__dir__) sys.path.append(os.path.abspath(os.path.join(__dir__, '../..'))) os.environ["FLAGS_allocator_strategy"] = 'auto_growth' import cv2 import copy import numpy as np import time import tools.infer.utility as utility from tools.infer.predict_system import TextSystem from ppstructure.table.predict_table import TableSystem, to_excel from ppstructure.layout.predict_layout import LayoutDetector from ppocr.utils.utility import get_image_file_list, check_and_read_gif from ppocr.utils.logging import get_logger logger = get_logger() def parse_args(): parser = utility.init_args() # params for table structure parser.add_argument("--table_max_len", type=int, default=488) parser.add_argument("--table_max_text_length", type=int, default=100) parser.add_argument("--table_max_elem_length", type=int, default=800) parser.add_argument("--table_max_cell_num", type=int, default=500) parser.add_argument("--table_model_dir", type=str) parser.add_argument("--table_char_type", type=str, default='en') parser.add_argument("--table_char_dict_path", type=str, default="./ppocr/utils/dict/table_structure_dict.txt") # params for layout detector parser.add_argument("--layout_model_dir", type=str) return parser.parse_args() class OCRSystem(): def __init__(self, args): self.text_system = TextSystem(args) self.table_system = TableSystem(args) self.table_layout = LayoutDetector(args) self.use_angle_cls = args.use_angle_cls self.drop_score = args.drop_score def __call__(self, img): ori_im = img.copy() layout_res = self.table_layout(copy.deepcopy(img)) for region in layout_res: x1, y1, x2, y2 = region['bbox'] roi_img = ori_im[y1:y2, x1:x2,:] if region['label'] == 'table': res = self.table_system(roi_img) else: res = self.text_system(roi_img) region['res'] = res return layout_res def main(args): image_file_list = get_image_file_list(args.image_dir) image_file_list = image_file_list[args.process_id::args.total_process_num] excel_save_folder = 'output/table' os.makedirs(excel_save_folder, exist_ok=True) text_sys = OCRSystem(args) img_num = len(image_file_list) for i, image_file in enumerate(image_file_list): logger.info("[{}/{}] {}".format(i, img_num, image_file)) img, flag = check_and_read_gif(image_file) imgname = os.path.basename(image_file).split('.')[0] # excel_path = os.path.join(excel_save_folder, + '.xlsx') if not flag: img = cv2.imread(image_file) if img is None: logger.info("error in loading image:{}".format(image_file)) continue starttime = time.time() res = text_sys(img) for region in res: if region['label'] == 'table': # x1, y1, x2, y2 = region['bbox'] excel_path = os.path.join(excel_save_folder, '{}_{}.xlsx'.format(imgname,region['bbox'])) to_excel(region['res'],excel_path) logger.info(res) elapse = time.time() - starttime logger.info("Predict time : {:.3f}s".format(elapse)) if __name__ == "__main__": args = parse_args() if args.use_mp: p_list = [] total_process_num = args.total_process_num for process_id in range(total_process_num): cmd = [sys.executable, "-u"] + sys.argv + [ "--process_id={}".format(process_id), "--use_mp={}".format(False) ] p = subprocess.Popen(cmd, stdout=sys.stdout, stderr=sys.stdout) p_list.append(p) for p in p_list: p.wait() else: main(args)