Merge pull request #177 from ZhangXinNan/zxdev

在程序中使用os.path.append添加环境变量，不再使用命令设置

.gitignore

@@ -16,3 +16,5 @@ output/
 *~
 *.vscode
 *.idea
+
+*.log

README.md

@@ -67,13 +67,7 @@ cd ..
 
 以下代码实现了文本检测、识别串联推理，在执行预测时，需要通过参数image_dir指定单张图像或者图像集合的路径、参数det_model_dir指定检测inference模型的路径和参数rec_model_dir指定识别inference模型的路径。可视化识别结果默认保存到 ./inference_results 文件夹里面。
 
-```
-# 设置PYTHONPATH环境变量
-export PYTHONPATH=.
-
-# windows下设置环境变量
-SET PYTHONPATH=.
-
+```bash
 # 预测image_dir指定的单张图像
 python3 tools/infer/predict_system.py --image_dir="./doc/imgs/11.jpg" --det_model_dir="./inference/ch_det_mv3_db/"  --rec_model_dir="./inference/ch_rec_mv3_crnn/"
 

README_en.md

@@ -67,13 +67,7 @@ cd ..
 
 The following code implements text detection and recognition inference tandemly. When performing prediction, you need to specify the path of a single image or image folder through the parameter `image_dir`, the parameter `det_model_dir` specifies the path to detection model, and the parameter `rec_model_dir` specifies the path to the recognition model. The visual prediction results are saved to the `./inference_results` folder by default.
 
-```
-# Set PYTHONPATH environment variable
-export PYTHONPATH=.
-
-# Setting environment variable in Windows
-SET PYTHONPATH=.
-
+```bash
 # Prediction on a single image by specifying image path to image_dir
 python3 tools/infer/predict_system.py --image_dir="./doc/imgs/11.jpg" --det_model_dir="./inference/ch_det_mv3_db/"  --rec_model_dir="./inference/ch_rec_mv3_crnn/"
 

tools/infer/predict_system.py

@@ -11,7 +11,11 @@
 # 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 os
+import sys
+__dir__ = os.path.dirname(__file__)
+sys.path.append(__dir__)
+sys.path.append(os.path.join(__dir__, '../..'))
 import utility
 from ppocr.utils.utility import initial_logger
 logger = initial_logger()
@@ -25,7 +29,6 @@ import time
 from ppocr.utils.utility import get_image_file_list
 from PIL import Image
 from tools.infer.utility import draw_ocr
-import os
 
 
 class TextSystem(object):