Merge pull request #4391 from LDOUBLEV/test_v10
add installation.md for PTDN
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## 环境配置
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本教程适用于PTDN目录下基础功能测试的运行环境搭建。
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推荐环境:
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- CUDA 10.1
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- CUDNN 7.6
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- TensorRT 6.1.0.5 / 7.1
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推荐docker镜像安装,按照如下命令创建镜像,当前目录映射到镜像中的`/paddle`目录下
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```
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nvidia-docker run --name paddle -it -v $PWD:/paddle paddlepaddle/paddle:latest-dev-cuda10.1-cudnn7-gcc82 /bin/bash
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cd /paddle
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# 安装带TRT的paddle
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pip3.7 install https://paddle-wheel.bj.bcebos.com/with-trt/2.1.3/linux-gpu-cuda10.1-cudnn7-mkl-gcc8.2-trt6-avx/paddlepaddle_gpu-2.1.3.post101-cp37-cp37m-linux_x86_64.whl
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# 安装AutoLog
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git clone https://github.com/LDOUBLEV/AutoLog
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cd AutoLog
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pip3.7 install -r requirements.txt
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python3.7 setup.py bdist_wheel
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pip3.7 install ./dist/auto_log-1.0.0-py3-none-any.whl
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# 下载OCR代码
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cd ../
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git clone https://github.com/PaddlePaddle/PaddleOCR
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```
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安装PaddleOCR依赖:
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```
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cd PaddleOCR
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pip3.7 install -r requirements.txt
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```
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## FAQ :
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Q. You are using Paddle compiled with TensorRT, but TensorRT dynamic library is not found. Ignore this if TensorRT is not needed.
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A. 问题一般是当前安装paddle版本带TRT,但是本地环境找不到TensorRT的预测库,需要下载TensorRT库,解压后设置环境变量LD_LIBRARY_PATH;
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如:
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```
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export LD_LIBRARY_PATH=/usr/local/python3.7.0/lib:/usr/local/nvidia/lib:/usr/local/nvidia/lib64:/paddle/package/TensorRT-6.0.1.5/lib
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```
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或者问题是下载的TensorRT版本和当前paddle中编译的TRT版本不匹配,需要下载版本相符的TRT。
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