提交 ed9065c7 编写于 作者: 张欣-男's avatar 张欣-男

在程序中使用os.path.append添加环境变量,不再使用命令设置

上级 e036c805
......@@ -16,3 +16,5 @@ output/
*~
*.vscode
*.idea
*.log
......@@ -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/"
......
......@@ -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/"
......
......@@ -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):
......
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