101 lines
3.3 KiB
Python
101 lines
3.3 KiB
Python
# copyright (c) 2020 PaddlePaddle Authors. All Rights Reserve.
|
|
#
|
|
# 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 ast
|
|
from PIL import Image
|
|
import numpy as np
|
|
from tools.infer.utility import draw_ocr_box_txt, str2bool, init_args as infer_args
|
|
|
|
|
|
def init_args():
|
|
parser = infer_args()
|
|
|
|
# params for output
|
|
parser.add_argument("--output", type=str, default='./output')
|
|
# params for table structure
|
|
parser.add_argument("--table_max_len", type=int, default=488)
|
|
parser.add_argument("--table_algorithm", type=str, default='TableAttn')
|
|
parser.add_argument("--table_model_dir", type=str)
|
|
parser.add_argument(
|
|
"--table_char_dict_path",
|
|
type=str,
|
|
default="../ppocr/utils/dict/table_structure_dict.txt")
|
|
# params for layout
|
|
parser.add_argument("--layout_model_dir", type=str)
|
|
parser.add_argument(
|
|
"--layout_path_model",
|
|
type=str,
|
|
default="lp://PubLayNet/ppyolov2_r50vd_dcn_365e_publaynet/config")
|
|
parser.add_argument(
|
|
"--layout_label_map",
|
|
type=ast.literal_eval,
|
|
default=None,
|
|
help='label map according to ppstructure/layout/README_ch.md')
|
|
# params for vqa
|
|
parser.add_argument("--vqa_algorithm", type=str, default='LayoutXLM')
|
|
parser.add_argument("--ser_model_dir", type=str)
|
|
parser.add_argument(
|
|
"--ser_dict_path",
|
|
type=str,
|
|
default="../train_data/XFUND/class_list_xfun.txt")
|
|
# params for inference
|
|
parser.add_argument(
|
|
"--mode",
|
|
type=str,
|
|
default='structure',
|
|
help='structure and vqa is supported')
|
|
parser.add_argument(
|
|
"--layout",
|
|
type=str2bool,
|
|
default=True,
|
|
help='Whether to enable layout analysis')
|
|
parser.add_argument(
|
|
"--table",
|
|
type=str2bool,
|
|
default=True,
|
|
help='In the forward, whether the table area uses table recognition')
|
|
parser.add_argument(
|
|
"--ocr",
|
|
type=str2bool,
|
|
default=True,
|
|
help='In the forward, whether the non-table area is recognition by ocr')
|
|
parser.add_argument(
|
|
"--recovery",
|
|
type=bool,
|
|
default=False,
|
|
help='Whether to enable layout of recovery')
|
|
return parser
|
|
|
|
|
|
def parse_args():
|
|
parser = init_args()
|
|
return parser.parse_args()
|
|
|
|
|
|
def draw_structure_result(image, result, font_path):
|
|
if isinstance(image, np.ndarray):
|
|
image = Image.fromarray(image)
|
|
boxes, txts, scores = [], [], []
|
|
for region in result:
|
|
if region['type'] == 'table':
|
|
pass
|
|
else:
|
|
for text_result in region['res']:
|
|
boxes.append(np.array(text_result['text_region']))
|
|
txts.append(text_result['text'])
|
|
scores.append(text_result['confidence'])
|
|
im_show = draw_ocr_box_txt(
|
|
image, boxes, txts, scores, font_path=font_path, drop_score=0)
|
|
return im_show
|