diff --git a/deploy/lite/readme.md b/deploy/lite/readme.md index adedcde1a59da8a548af4a780ce60b1b9a640f0e..93f38e057258edad0ac5dd3bbbb7b3789011cefb 100644 --- a/deploy/lite/readme.md +++ b/deploy/lite/readme.md @@ -123,7 +123,7 @@ cd build.opt/lite/api/ 下面以PaddleOCR的超轻量中文模型为例,介绍使用编译好的opt文件完成inference模型到Paddle-Lite优化模型的转换。 ``` -# 可以下载PaddleOCR V1.1版本的inference模型,V1.1比1.0效果更好,模型大小更小 +# 【推荐】 下载PaddleOCR V1.1版本的中英文 inference模型,V1.1比1.0效果更好,模型更小 wget https://paddleocr.bj.bcebos.com/20-09-22/mobile-slim/det/ch_ppocr_mobile_v1.1_det_prune_infer.tar && tar xf ch_ppocr_mobile_v1.1_det_prune_infer.tar wget https://paddleocr.bj.bcebos.com/20-09-22/mobile-slim/rec/ch_ppocr_mobile_v1.1_rec_quant_infer.tar && tar xf ch_ppocr_mobile_v1.1_rec_quant_infer.tar # 转换V1.1检测模型 @@ -132,7 +132,7 @@ wget https://paddleocr.bj.bcebos.com/20-09-22/mobile-slim/rec/ch_ppocr_mobile_v ./opt --model_file=./ch_ppocr_mobile_v1.1_rec_quant_infer/model --param_file=./ch_ppocr_mobile_v1.1_rec_quant_infer/params --optimize_out=./ch_ppocr_mobile_v1.1_rec_quant_opt --valid_targets=arm -# 或下载使用PaddleOCR的V1.0超轻量文inference模型,并解压 +# 或下载使用PaddleOCR的V1.0超轻量中英文 inference模型,解压并转换为移动端支持的模型 wget https://paddleocr.bj.bcebos.com/ch_models/ch_det_mv3_db_infer.tar && tar xf ch_det_mv3_db_infer.tar wget https://paddleocr.bj.bcebos.com/ch_models/ch_rec_mv3_crnn_infer.tar && tar xf ch_rec_mv3_crnn_infer.tar # 转换V1.0检测模型 diff --git a/deploy/lite/readme_en.md b/deploy/lite/readme_en.md index f36d76266f4025fe7f872c2efa695be13ccdd502..a62f0478843fb28b21404f282d981daf7a0c294f 100644 --- a/deploy/lite/readme_en.md +++ b/deploy/lite/readme_en.md @@ -86,7 +86,7 @@ The `opt` can optimize the inference model saved by paddle.io.save_inference_mod The usage of opt is as follows: ``` -# V1.1 is better than V1.0. steps for convert V1.1 model to nb file are as follows +# 【Recommend】V1.1 is better than V1.0. steps for convert V1.1 model to nb file are as follows wget https://paddleocr.bj.bcebos.com/20-09-22/mobile-slim/det/ch_ppocr_mobile_v1.1_det_prune_infer.tar && tar xf ch_ppocr_mobile_v1.1_det_prune_infer.tar wget https://paddleocr.bj.bcebos.com/20-09-22/mobile-slim/rec/ch_ppocr_mobile_v1.1_rec_quant_infer.tar && tar xf ch_ppocr_mobile_v1.1_rec_quant_infer.tar