fix typo for jetson
-# Jeston Deployment for PaddleOCR
+# Jetson Deployment for PaddleOCR
-This section introduces the deployment of PaddleOCR on Jeston NX, TX2, nano, AGX and other series of hardware.
+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 Jeston development hardware. If you need TensorRT, you need to prepare the TensorRT environment. It is recommended to use TensorRT version 7.1.3;
+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 Jeston
+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.
@@ -32,11 +32,11 @@ cd PaddleOCR
pip3 install -r requirements.txt
```
-*Note: Jeston hardware CPU is poor, dependency installation is slow, please wait patiently*
+*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_ch/ppocr_introduction.md#6-%E6%A8%A1%E5%9E%8B%E5%BA%93) model library. The following takes the PP-OCRv3 model as an example to introduce the use of the PPOCR model on jeston:
+Obtain the PPOCR model from the [document](https://github.com/PaddlePaddle/PaddleOCR/blob/dygraph/doc/doc_ch/ppocr_introduction.md#6-%E6%A8%A1%E5%9E%8B%E5%BA%93) 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.
```
