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deploy/jeston/readme.md

-
-# Jetson部署PaddleOCR模型
-
-本节介绍PaddleOCR在Jetson NX、TX2、nano、AGX等系列硬件的部署。
-
-
-## 1. 环境准备
-
-需要准备一台Jetson开发板，如果需要TensorRT预测，需准备好TensorRT环境，建议使用7.1.3版本的TensorRT；
-
-1. Jetson安装PaddlePaddle
-
-PaddlePaddle下载[链接](https://www.paddlepaddle.org.cn/inference/user_guides/download_lib.html#python)
-请选择适合的您Jetpack版本、cuda版本、trt版本的安装包。
-
-安装命令：
-```shell
-# 安装paddle，以paddlepaddle_gpu-2.3.0rc0-cp36-cp36m-linux_aarch64.whl 为例
-pip3 install -U paddlepaddle_gpu-2.3.0rc0-cp36-cp36m-linux_aarch64.whl
-```
-
-
-2. 下载PaddleOCR代码并安装依赖
-
-首先 clone PaddleOCR 代码：
-```
-git clone https://github.com/PaddlePaddle/PaddleOCR
-```
-
-然后，安装依赖：
-```
-cd PaddleOCR
-pip3 install -r requirements.txt
-```
-
-*注：jetson硬件CPU较差，依赖安装较慢，请耐心等待*
-
-
-## 2. 执行预测
-
-从[文档](https://github.com/PaddlePaddle/PaddleOCR/blob/dygraph/doc/doc_ch/ppocr_introduction.md#6-%E6%A8%A1%E5%9E%8B%E5%BA%93) 模型库中获取PPOCR模型，下面以PP-OCRv3模型为例，介绍在PPOCR模型在jetson上的使用方式：
-
-下载并解压PP-OCRv3模型
-```
-wget https://paddleocr.bj.bcebos.com/PP-OCRv3/chinese/ch_PP-OCRv3_det_infer.tar
-wget https://paddleocr.bj.bcebos.com/PP-OCRv3/chinese/ch_PP-OCRv3_rec_infer.tar
-tar xf ch_PP-OCRv3_det_infer.tar
-tar xf ch_PP-OCRv3_rec_infer.tar
-```
-
-执行文本检测预测：
-```
-cd PaddleOCR
-python3 tools/infer/predict_det.py --det_model_dir=./inference/ch_PP-OCRv2_det_infer/  --image_dir=./doc/imgs/french_0.jpg  --use_gpu=True
-```
-
-执行命令后在终端会打印出预测的信息，并在 `./inference_results/` 下保存可视化结果。
-![](./images/det_res_french_0.jpg)
-
-
-执行文本识别预测：
-```
-python3 tools/infer/predict_det.py --rec_model_dir=./inference/ch_PP-OCRv2_rec_infer/  --image_dir=./doc/imgs_words/en/word_2.png  --use_gpu=True --rec_image_shape="3,48,320"
-```
-
-执行命令后在终端会打印出预测的信息，输出如下：
-```
-[2022/04/28 15:41:45] root INFO: Predicts of ./doc/imgs_words/en/word_2.png:('yourself', 0.98084533)
-```
-
-执行文本检测+文本识别串联预测：
-
-```
-python3 tools/infer/predict_system.py --det_model_dir=./inference/ch_PP-OCRv2_det_infer/ --rec_model_dir=./inference/ch_PP-OCRv2_rec_infer/ --image_dir=./doc/imgs/ --use_gpu=True --rec_image_shape="3,48,320"
-```
-
-执行命令后在终端会打印出预测的信息，并在 `./inference_results/` 下保存可视化结果。
-![](./images/00057937.jpg)
-
-开启TRT预测只需要在以上命令基础上设置`--use_tensorrt=True`即可：
-```
-python3 tools/infer/predict_system.py --det_model_dir=./inference/ch_PP-OCRv2_det_infer/ --rec_model_dir=./inference/ch_PP-OCRv2_rec_infer/ --image_dir=./doc/imgs/00057937.jpg --use_gpu=True --use_tensorrt=True --rec_image_shape="3,48,320"
-```
-
-更多ppocr模型预测请参考[文档](../../doc/doc_ch/models_list.md)

deploy/jeston/readme_en.md

-
-# Jetson Deployment for PaddleOCR
-
-This section introduces the deployment of PaddleOCR on Jetson NX, TX2, nano, AGX and other series of hardware.
-
-
-## 1. Prepare Environment
-
-You need to prepare a Jetson development hardware. If you need TensorRT, you need to prepare the TensorRT environment. It is recommended to use TensorRT version 7.1.3;
-
-1. Install PaddlePaddle in Jetson
-
-The PaddlePaddle download [link](https://www.paddlepaddle.org.cn/inference/user_guides/download_lib.html#python)
-Please select the appropriate installation package for your Jetpack version, cuda version, and trt version. Here, we download paddlepaddle_gpu-2.3.0rc0-cp36-cp36m-linux_aarch64.whl.
-
-Install PaddlePaddle：
-```shell
-pip3 install -U paddlepaddle_gpu-2.3.0rc0-cp36-cp36m-linux_aarch64.whl
-```
-
-
-2. Download PaddleOCR code and install dependencies
-
-Clone the PaddleOCR code:
-```
-git clone https://github.com/PaddlePaddle/PaddleOCR
-```
-
-and install dependencies：
-```
-cd PaddleOCR
-pip3 install -r requirements.txt
-```
-
-*Note: Jetson hardware CPU is poor, dependency installation is slow, please wait patiently*
-
-## 2. Perform prediction
-
-Obtain the PPOCR model from the [document](https://github.com/PaddlePaddle/PaddleOCR/blob/dygraph/doc/doc_en/ppocr_introduction_en.md#6-model-zoo) model library. The following takes the PP-OCRv3 model as an example to introduce the use of the PPOCR model on Jetson:
-
-Download and unzip the PP-OCRv3 models.
-```
-wget https://paddleocr.bj.bcebos.com/PP-OCRv3/chinese/ch_PP-OCRv3_det_infer.tar
-wget https://paddleocr.bj.bcebos.com/PP-OCRv3/chinese/ch_PP-OCRv3_rec_infer.tar
-tar xf ch_PP-OCRv3_det_infer.tar
-tar xf ch_PP-OCRv3_rec_infer.tar
-```
-
-The text detection inference:
-```
-cd PaddleOCR
-python3 tools/infer/predict_det.py --det_model_dir=./inference/ch_PP-OCRv2_det_infer/  --image_dir=./doc/imgs/french_0.jpg  --use_gpu=True
-```
-
-After executing the command, the predicted information will be printed out in the terminal, and the visualization results will be saved in the `./inference_results/` directory.
-![](./images/det_res_french_0.jpg)
-
-
-The text recognition inference:
-```
-python3 tools/infer/predict_det.py --rec_model_dir=./inference/ch_PP-OCRv2_rec_infer/  --image_dir=./doc/imgs_words/en/word_2.png  --use_gpu=True --rec_image_shape="3,48,320"
-```
-
-After executing the command, the predicted information will be printed on the terminal, and the output is as follows:
-```
-[2022/04/28 15:41:45] root INFO: Predicts of ./doc/imgs_words/en/word_2.png:('yourself', 0.98084533)
-```
-
-The text  detection and text recognition inference:
-
-```
-python3 tools/infer/predict_system.py --det_model_dir=./inference/ch_PP-OCRv2_det_infer/ --rec_model_dir=./inference/ch_PP-OCRv2_rec_infer/ --image_dir=./doc/imgs/00057937.jpg --use_gpu=True --rec_image_shape="3,48,320"
-```
-
-After executing the command, the predicted information will be printed out in the terminal, and the visualization results will be saved in the `./inference_results/` directory.
-![](./images/00057937.jpg)
-
-To enable TRT prediction, you only need to set `--use_tensorrt=True` on the basis of the above command:
-```
-python3 tools/infer/predict_system.py --det_model_dir=./inference/ch_PP-OCRv2_det_infer/ --rec_model_dir=./inference/ch_PP-OCRv2_rec_infer/ --image_dir=./doc/imgs/  --rec_image_shape="3,48,320" --use_gpu=True --use_tensorrt=True
-```
-
-For more ppocr model predictions, please refer to[document](../../doc/doc_en/models_list_en.md)