From 99a686e4765d3f99d77fe348c84c30703ce19d90 Mon Sep 17 00:00:00 2001 From: zhoujun Date: Mon, 30 Nov 2020 11:39:50 -0600 Subject: [PATCH] hide argparse when use whl by python (#1287) * hide argparse when use whl by python * set use_angle_cls defalut valut to false --- paddleocr.py | 8 ++++---- setup.py | 2 +- 2 files changed, 5 insertions(+), 5 deletions(-) diff --git a/paddleocr.py b/paddleocr.py index 3958f7ad..7d1626a9 100644 --- a/paddleocr.py +++ b/paddleocr.py @@ -117,13 +117,13 @@ def maybe_download(model_storage_directory, url): os.remove(tmp_path) -def parse_args(): +def parse_args(add_help=True): import argparse def str2bool(v): return v.lower() in ("true", "t", "1") - parser = argparse.ArgumentParser() + parser = argparse.ArgumentParser(add_help=add_help) # params for prediction engine parser.add_argument("--use_gpu", type=str2bool, default=True) parser.add_argument("--ir_optim", type=str2bool, default=True) @@ -170,7 +170,7 @@ def parse_args(): parser.add_argument("--lang", type=str, default='ch') parser.add_argument("--det", type=str2bool, default=True) parser.add_argument("--rec", type=str2bool, default=True) - parser.add_argument("--use_angle_cls", type=str2bool, default=True) + parser.add_argument("--use_angle_cls", type=str2bool, default=False) return parser.parse_args() @@ -181,7 +181,7 @@ class PaddleOCR(predict_system.TextSystem): args: **kwargs: other params show in paddleocr --help """ - postprocess_params = parse_args() + postprocess_params = parse_args(add_help=False) postprocess_params.__dict__.update(**kwargs) self.use_angle_cls = postprocess_params.use_angle_cls lang = postprocess_params.lang diff --git a/setup.py b/setup.py index d831a3a3..06fd46de 100644 --- a/setup.py +++ b/setup.py @@ -32,7 +32,7 @@ setup( package_dir={'paddleocr': ''}, include_package_data=True, entry_points={"console_scripts": ["paddleocr= paddleocr.paddleocr:main"]}, - version='1.1.1', + version='1.1.2', install_requires=requirements, license='Apache License 2.0', description='Awesome OCR toolkits based on PaddlePaddle （8.6M ultra-lightweight pre-trained model, support training and deployment among server, mobile, embeded and IoT devices', -- GitLab