Merge pull request #2831 from WenmuZhou/lite_2.1

cherry-pick #2823

deploy/lite/readme.md

@@ -125,7 +125,7 @@ cd build.opt/lite/api/
 ```
 # 【推荐】 下载PaddleOCR V2.0版本的中英文 inference模型
 wget  https://paddleocr.bj.bcebos.com/dygraph_v2.0/slim/ch_ppocr_mobile_v2.0_det_slim_infer.tar && tar xf  ch_ppocr_mobile_v2.0_det_slim_infer.tar
-wget  https://paddleocr.bj.bcebos.com/dygraph_v2.0/slim/ch_ppocr_mobile_v2.0_rec_slim_nfer.tar && tar xf  ch_ppocr_mobile_v2.0_rec_slim_infer.tar
+wget  https://paddleocr.bj.bcebos.com/dygraph_v2.0/slim/ch_ppocr_mobile_v2.0_rec_slim_infer.tar && tar xf  ch_ppocr_mobile_v2.0_rec_slim_infer.tar
 wget  https://paddleocr.bj.bcebos.com/dygraph_v2.0/slim/ch_ppocr_mobile_v2.0_cls_slim_infer.tar && tar xf  ch_ppocr_mobile_v2.0_cls_slim_infer.tar
 # 转换V2.0检测模型
 ./opt --model_file=./ch_ppocr_mobile_v2.0_det_slim_infer/inference.pdmodel  --param_file=./ch_ppocr_mobile_v2.0_det_slim_infer/inference.pdiparams  --optimize_out=./ch_ppocr_mobile_v2.0_det_slim_opt --valid_targets=arm  --optimize_out_type=naive_buffer
@@ -238,7 +238,7 @@ use_direction_classify  0  # 是否使用方向分类器，0表示不使用，1
  上述步骤完成后就可以使用adb将文件push到手机上运行，步骤如下：
 
  ```
- # 执行编译，得到可执行文件ocr_db_crnn
+ # 执行编译，得到可执行文件ocr_db_crnn，第一次执行此命令会下载opencv等依赖库，下载完成后，需要再执行一次
  make -j
 
  # 将编译的可执行文件移动到debug文件夹中

deploy/lite/readme_en.md

@@ -237,7 +237,8 @@ use_direction_classify  0  # Whether to use the direction classifier, 0 means no
 After the above steps are completed, you can use adb to push the file to the phone to run, the steps are as follows:
 
  ```
- # Execute the compilation and get the executable file ocr_db_crnn
+ # Execute the compilation and get the executable file ocr_db_crnn.
+ # The first execution of this command will download dependent libraries such as opencv. After the download is complete, you need to execute it again
  make -j
  # Move the compiled executable file to the debug folder
  mv ocr_db_crnn ./debug/