135 lines
5.2 KiB
Python
135 lines
5.2 KiB
Python
# Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import os
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import sys
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import subprocess
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__dir__ = os.path.dirname(os.path.abspath(__file__))
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sys.path.append(__dir__)
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sys.path.append(os.path.abspath(os.path.join(__dir__, '..')))
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os.environ["FLAGS_allocator_strategy"] = 'auto_growth'
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import cv2
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import numpy as np
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import time
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import logging
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import layoutparser as lp
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from ppocr.utils.utility import get_image_file_list, check_and_read_gif
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from ppocr.utils.logging import get_logger
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from tools.infer.predict_system import TextSystem
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from test1.table.predict_table import TableSystem, to_excel
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from test1.utility import parse_args, draw_result
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logger = get_logger()
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class OCRSystem(object):
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def __init__(self, args):
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args.det_limit_type = 'resize_long'
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args.drop_score = 0
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if not args.show_log:
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logger.setLevel(logging.INFO)
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self.text_system = TextSystem(args)
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self.table_system = TableSystem(args, self.text_system.text_detector, self.text_system.text_recognizer)
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self.table_layout = lp.PaddleDetectionLayoutModel("lp://PubLayNet/ppyolov2_r50vd_dcn_365e_publaynet/config",
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threshold=0.5, enable_mkldnn=args.enable_mkldnn,
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enforce_cpu=not args.use_gpu, thread_num=args.cpu_threads)
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self.use_angle_cls = args.use_angle_cls
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self.drop_score = args.drop_score
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def __call__(self, img):
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ori_im = img.copy()
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layout_res = self.table_layout.detect(img[..., ::-1])
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res_list = []
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for region in layout_res:
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x1, y1, x2, y2 = region.coordinates
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x1, y1, x2, y2 = int(x1), int(y1), int(x2), int(y2)
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roi_img = ori_im[y1:y2, x1:x2, :]
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if region.type == 'Table':
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res = self.table_system(roi_img)
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else:
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filter_boxes, filter_rec_res = self.text_system(roi_img)
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filter_boxes = [x + [x1, y1] for x in filter_boxes]
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filter_boxes = [x.reshape(-1).tolist() for x in filter_boxes]
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res = (filter_boxes, filter_rec_res)
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res_list.append({'type': region.type, 'bbox': [x1, y1, x2, y2], 'res': res})
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return res_list
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def save_res(res, save_folder, img_name):
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excel_save_folder = os.path.join(save_folder, img_name)
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os.makedirs(excel_save_folder, exist_ok=True)
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# save res
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for region in res:
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if region['type'] == 'Table':
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excel_path = os.path.join(excel_save_folder, '{}.xlsx'.format(region['bbox']))
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to_excel(region['res'], excel_path)
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elif region['type'] == 'Figure':
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pass
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else:
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with open(os.path.join(excel_save_folder, 'res.txt'), 'a', encoding='utf8') as f:
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for box, rec_res in zip(region['res'][0], region['res'][1]):
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f.write('{}\t{}\n'.format(np.array(box).reshape(-1).tolist(), rec_res))
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def main(args):
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image_file_list = get_image_file_list(args.image_dir)
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image_file_list = image_file_list
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image_file_list = image_file_list[args.process_id::args.total_process_num]
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save_folder = args.output
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os.makedirs(save_folder, exist_ok=True)
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structure_sys = OCRSystem(args)
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img_num = len(image_file_list)
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for i, image_file in enumerate(image_file_list):
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logger.info("[{}/{}] {}".format(i, img_num, image_file))
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img, flag = check_and_read_gif(image_file)
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img_name = os.path.basename(image_file).split('.')[0]
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if not flag:
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img = cv2.imread(image_file)
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if img is None:
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logger.error("error in loading image:{}".format(image_file))
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continue
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starttime = time.time()
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res = structure_sys(img)
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save_res(res, save_folder, img_name)
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draw_img = draw_result(img, res, args.vis_font_path)
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cv2.imwrite(os.path.join(save_folder, img_name, 'show.jpg'), draw_img)
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logger.info('result save to {}'.format(os.path.join(save_folder, img_name)))
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elapse = time.time() - starttime
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logger.info("Predict time : {:.3f}s".format(elapse))
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if __name__ == "__main__":
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args = parse_args()
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if args.use_mp:
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p_list = []
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total_process_num = args.total_process_num
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for process_id in range(total_process_num):
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cmd = [sys.executable, "-u"] + sys.argv + [
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"--process_id={}".format(process_id),
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"--use_mp={}".format(False)
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]
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p = subprocess.Popen(cmd, stdout=sys.stdout, stderr=sys.stdout)
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p_list.append(p)
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for p in p_list:
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p.wait()
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else:
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main(args)
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