未验证 提交 75aa6f2f 编写于 作者: u010070587's avatar u010070587 提交者: GitHub

Merge pull request #3372 from WenmuZhou/fx_bug

add /path/to to gen_label doc
...@@ -18,6 +18,7 @@ PaddleOCR模型部署。 ...@@ -18,6 +18,7 @@ PaddleOCR模型部署。
* 首先需要从opencv官网上下载在Linux环境下源码编译的包,以opencv3.4.7为例,下载命令如下。 * 首先需要从opencv官网上下载在Linux环境下源码编译的包,以opencv3.4.7为例,下载命令如下。
``` ```
cd deploy/cpp_infer
wget https://github.com/opencv/opencv/archive/3.4.7.tar.gz wget https://github.com/opencv/opencv/archive/3.4.7.tar.gz
tar -xf 3.4.7.tar.gz tar -xf 3.4.7.tar.gz
``` ```
......
...@@ -18,6 +18,7 @@ PaddleOCR model deployment. ...@@ -18,6 +18,7 @@ PaddleOCR model deployment.
* First of all, you need to download the source code compiled package in the Linux environment from the opencv official website. Taking opencv3.4.7 as an example, the download command is as follows. * First of all, you need to download the source code compiled package in the Linux environment from the opencv official website. Taking opencv3.4.7 as an example, the download command is as follows.
``` ```
cd deploy/cpp_infer
wget https://github.com/opencv/opencv/archive/3.4.7.tar.gz wget https://github.com/opencv/opencv/archive/3.4.7.tar.gz
tar -xf 3.4.7.tar.gz tar -xf 3.4.7.tar.gz
``` ```
......
...@@ -29,6 +29,7 @@ deploy/hubserving/ocr_system/ ...@@ -29,6 +29,7 @@ deploy/hubserving/ocr_system/
### 1. 准备环境 ### 1. 准备环境
```shell ```shell
# 安装paddlehub # 安装paddlehub
# paddlehub 需要 python>3.6.2
pip3 install paddlehub==2.1.0 --upgrade -i https://pypi.tuna.tsinghua.edu.cn/simple pip3 install paddlehub==2.1.0 --upgrade -i https://pypi.tuna.tsinghua.edu.cn/simple
``` ```
......
...@@ -30,6 +30,7 @@ The following steps take the 2-stage series service as an example. If only the d ...@@ -30,6 +30,7 @@ The following steps take the 2-stage series service as an example. If only the d
### 1. Prepare the environment ### 1. Prepare the environment
```shell ```shell
# Install paddlehub # Install paddlehub
# python>3.6.2 is required bt paddlehub
pip3 install paddlehub==2.1.0 --upgrade -i https://pypi.tuna.tsinghua.edu.cn/simple pip3 install paddlehub==2.1.0 --upgrade -i https://pypi.tuna.tsinghua.edu.cn/simple
``` ```
......
...@@ -18,9 +18,9 @@ PaddleOCR 也提供了数据格式转换脚本,可以将官网 label 转换支 ...@@ -18,9 +18,9 @@ PaddleOCR 也提供了数据格式转换脚本,可以将官网 label 转换支
``` ```
# 将官网下载的标签文件转换为 train_icdar2015_label.txt # 将官网下载的标签文件转换为 train_icdar2015_label.txt
python gen_label.py --mode="det" --root_path="icdar_c4_train_imgs/" \ python gen_label.py --mode="det" --root_path="/path/to/icdar_c4_train_imgs/" \
--input_path="ch4_training_localization_transcription_gt" \ --input_path="/path/to/ch4_training_localization_transcription_gt" \
--output_label="train_icdar2015_label.txt" --output_label="/path/to/train_icdar2015_label.txt"
``` ```
解压数据集和下载标注文件后,PaddleOCR/train_data/ 有两个文件夹和两个文件,分别是: 解压数据集和下载标注文件后,PaddleOCR/train_data/ 有两个文件夹和两个文件,分别是:
......
...@@ -221,7 +221,7 @@ python3 tools/export_model.py -c configs/det/det_r50_vd_sast_totaltext.yml -o Gl ...@@ -221,7 +221,7 @@ python3 tools/export_model.py -c configs/det/det_r50_vd_sast_totaltext.yml -o Gl
``` ```
**SAST文本检测模型推理,需要设置参数`--det_algorithm="SAST"`,同时,还需要增加参数`--det_sast_polygon=True`,**可以执行如下命令: SAST文本检测模型推理,需要设置参数`--det_algorithm="SAST"`,同时,还需要增加参数`--det_sast_polygon=True`可以执行如下命令:
``` ```
python3 tools/infer/predict_det.py --det_algorithm="SAST" --image_dir="./doc/imgs_en/img623.jpg" --det_model_dir="./inference/det_sast_tt/" --det_sast_polygon=True python3 tools/infer/predict_det.py --det_algorithm="SAST" --image_dir="./doc/imgs_en/img623.jpg" --det_model_dir="./inference/det_sast_tt/" --det_sast_polygon=True
``` ```
......
...@@ -230,7 +230,7 @@ First, convert the model saved in the SAST text detection training process into ...@@ -230,7 +230,7 @@ First, convert the model saved in the SAST text detection training process into
python3 tools/export_model.py -c configs/det/det_r50_vd_sast_totaltext.yml -o Global.pretrained_model=./det_r50_vd_sast_totaltext_v2.0_train/best_accuracy Global.save_inference_dir=./inference/det_sast_tt python3 tools/export_model.py -c configs/det/det_r50_vd_sast_totaltext.yml -o Global.pretrained_model=./det_r50_vd_sast_totaltext_v2.0_train/best_accuracy Global.save_inference_dir=./inference/det_sast_tt
``` ```
**For SAST curved text detection model inference, you need to set the parameter `--det_algorithm="SAST"` and `--det_sast_polygon=True`**, run the following command: For SAST curved text detection model inference, you need to set the parameter `--det_algorithm="SAST"` and `--det_sast_polygon=True`, run the following command:
``` ```
python3 tools/infer/predict_det.py --det_algorithm="SAST" --image_dir="./doc/imgs_en/img623.jpg" --det_model_dir="./inference/det_sast_tt/" --det_sast_polygon=True python3 tools/infer/predict_det.py --det_algorithm="SAST" --image_dir="./doc/imgs_en/img623.jpg" --det_model_dir="./inference/det_sast_tt/" --det_sast_polygon=True
......
#copyright (c) 2020 PaddlePaddle Authors. All Rights Reserve. # copyright (c) 2020 PaddlePaddle Authors. All Rights Reserve.
# #
#Licensed under the Apache License, Version 2.0 (the "License"); # Licensed under the Apache License, Version 2.0 (the "License");
#you may not use this file except in compliance with the License. # you may not use this file except in compliance with the License.
#You may obtain a copy of the License at # You may obtain a copy of the License at
# #
# http://www.apache.org/licenses/LICENSE-2.0 # http://www.apache.org/licenses/LICENSE-2.0
# #
#Unless required by applicable law or agreed to in writing, software # Unless required by applicable law or agreed to in writing, software
#distributed under the License is distributed on an "AS IS" BASIS, # distributed under the License is distributed on an "AS IS" BASIS,
#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
#See the License for the specific language governing permissions and # See the License for the specific language governing permissions and
#limitations under the License. # limitations under the License.
import os import os
import argparse import argparse
import json import json
...@@ -31,7 +31,9 @@ def gen_det_label(root_path, input_dir, out_label): ...@@ -31,7 +31,9 @@ def gen_det_label(root_path, input_dir, out_label):
for label_file in os.listdir(input_dir): for label_file in os.listdir(input_dir):
img_path = root_path + label_file[3:-4] + ".jpg" img_path = root_path + label_file[3:-4] + ".jpg"
label = [] label = []
with open(os.path.join(input_dir, label_file), 'r') as f: with open(
os.path.join(input_dir, label_file), 'r',
encoding='utf-8-sig') as f:
for line in f.readlines(): for line in f.readlines():
tmp = line.strip("\n\r").replace("\xef\xbb\xbf", tmp = line.strip("\n\r").replace("\xef\xbb\xbf",
"").split(',') "").split(',')
......
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