提交 aeefefde 编写于 作者: W WenmuZhou

rename test1 2 ppstructure

上级 75aa6f2f
......@@ -5,5 +5,5 @@ recursive-include ppocr/utils *.txt utility.py logging.py network.py
recursive-include ppocr/data/ *.py
recursive-include ppocr/postprocess *.py
recursive-include tools/infer *.py
recursive-include test1 *.py
recursive-include ppstructure *.py
......@@ -10,7 +10,7 @@ pip3 install layoutparser-0.0.0-py3-none-any.whl
PaddleStructure is a toolkit for complex layout text OCR, the process is as follows
![pipeline](../doc/table/pipeline.png)
![pipeline](../doc/table/pipeline.jpg)
In PaddleStructure, the image will be analyzed by layoutparser first. In the layout analysis, the area in the image will be classified, and the OCR process will be carried out according to the category.
......
......@@ -24,9 +24,9 @@ import numpy as np
from pathlib import Path
from ppocr.utils.logging import get_logger
from test1.predict_system import OCRSystem, save_res
from test1.table.predict_table import to_excel
from test1.utility import init_args, draw_result
from ppstructure.predict_system import OCRSystem, save_res
from ppstructure.table.predict_table import to_excel
from ppstructure.utility import init_args, draw_result
logger = get_logger()
from ppocr.utils.utility import check_and_read_gif, get_image_file_list
......
......@@ -31,8 +31,8 @@ import layoutparser as lp
from ppocr.utils.utility import get_image_file_list, check_and_read_gif
from ppocr.utils.logging import get_logger
from tools.infer.predict_system import TextSystem
from test1.table.predict_table import TableSystem, to_excel
from test1.utility import parse_args, draw_result
from ppstructure.table.predict_table import TableSystem, to_excel
from ppstructure.utility import parse_args, draw_result
logger = get_logger()
......
......@@ -23,14 +23,14 @@ with open('../requirements.txt', encoding="utf-8-sig") as f:
def readme():
with open('api_ch.md', encoding="utf-8-sig") as f:
with open('README_ch.md', encoding="utf-8-sig") as f:
README = f.read()
return README
shutil.copytree('./table', './test1/table')
shutil.copyfile('./predict_system.py', './test1/predict_system.py')
shutil.copyfile('./utility.py', './test1/utility.py')
shutil.copytree('./table', './ppstructure/table')
shutil.copyfile('./predict_system.py', './ppstructure/predict_system.py')
shutil.copyfile('./utility.py', './ppstructure/utility.py')
shutil.copytree('../ppocr', './ppocr')
shutil.copytree('../tools', './tools')
shutil.copyfile('../LICENSE', './LICENSE')
......@@ -66,5 +66,5 @@ setup(
shutil.rmtree('ppocr')
shutil.rmtree('tools')
shutil.rmtree('test1')
shutil.rmtree('ppstructure')
os.remove('LICENSE')
......@@ -20,9 +20,9 @@ sys.path.append(os.path.abspath(os.path.join(__dir__, '../..')))
import cv2
import json
from tqdm import tqdm
from test1.table.table_metric import TEDS
from test1.table.predict_table import TableSystem
from test1.utility import init_args
from ppstructure.table.table_metric import TEDS
from ppstructure.table.predict_table import TableSystem
from ppstructure.utility import init_args
from ppocr.utils.logging import get_logger
logger = get_logger()
......
......@@ -22,17 +22,14 @@ os.environ["FLAGS_allocator_strategy"] = 'auto_growth'
import cv2
import numpy as np
import math
import time
import traceback
import paddle
import tools.infer.utility as utility
from ppocr.data import create_operators, transform
from ppocr.postprocess import build_post_process
from ppocr.utils.logging import get_logger
from ppocr.utils.utility import get_image_file_list, check_and_read_gif
from test1.utility import parse_args
from ppstructure.utility import parse_args
logger = get_logger()
......
......@@ -30,9 +30,9 @@ import tools.infer.predict_rec as predict_rec
import tools.infer.predict_det as predict_det
from ppocr.utils.utility import get_image_file_list, check_and_read_gif
from ppocr.utils.logging import get_logger
from test1.table.matcher import distance, compute_iou
from test1.utility import parse_args
import test1.table.predict_structure as predict_strture
from ppstructure.table.matcher import distance, compute_iou
from ppstructure.utility import parse_args
import ppstructure.table.predict_structure as predict_strture
logger = get_logger()
......
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