From 1af833e2b69dec55b628b2412f3f95ec26ad8774 Mon Sep 17 00:00:00 2001 From: LDOUBLEV Date: Wed, 23 Sep 2020 20:35:22 +0800 Subject: [PATCH] fix doc typo --- doc/doc_ch/inference.md | 4 ++-- doc/doc_en/inference_en.md | 8 ++++---- 2 files changed, 6 insertions(+), 6 deletions(-) diff --git a/doc/doc_ch/inference.md b/doc/doc_ch/inference.md index c775de57..c1cd466b 100644 --- a/doc/doc_ch/inference.md +++ b/doc/doc_ch/inference.md @@ -95,7 +95,7 @@ python3 tools/export_model.py -c configs/rec/ch_ppocr_v1.1/rec_chinese_lite_trai 下载方向分类模型： ``` -wget -P ./ch_lite/ https://paddleocr.bj.bcebos.com/20-09-22/cls/ch_ppocr_mobile-v1.1.cls_pre.tar && tar xf ./ch_lite/ch_ppocr_mobile-v1.1.cls_pre.tar -C ./ch_lite/ +wget -P ./ch_lite/ https://paddleocr.bj.bcebos.com/20-09-22/cls/ch_ppocr_mobile_v1.1_cls_train.tar && tar xf ./ch_lite/ch_ppocr_mobile_v1.1_cls_train.tar -C ./ch_lite/ ``` 方向分类模型转inference模型与检测的方式相同，如下： @@ -105,7 +105,7 @@ wget -P ./ch_lite/ https://paddleocr.bj.bcebos.com/20-09-22/cls/ch_ppocr_mobile- # Global.checkpoints参数设置待转换的训练模型地址，不用添加文件后缀.pdmodel，.pdopt或.pdparams。 # Global.save_inference_dir参数设置转换的模型将保存的地址。 -python3 tools/export_model.py -c configs/cls/cls_mv3.yml -o Global.checkpoints=./ch_lite/cls_model/best_accuracy \ +python3 tools/export_model.py -c configs/cls/cls_mv3.yml -o Global.checkpoints=./ch_lite/ch_ppocr_mobile_v1.1_cls_train/best_accuracy \ Global.save_inference_dir=./inference/cls/ ``` diff --git a/doc/doc_en/inference_en.md b/doc/doc_en/inference_en.md index 868d5793..38cc5489 100644 --- a/doc/doc_en/inference_en.md +++ b/doc/doc_en/inference_en.md @@ -29,7 +29,7 @@ Next, we first introduce how to convert a trained model into an inference model, - [4. SRN-BASED TEXT RECOGNITION MODEL INFERENCE](#SRN-BASED_RECOGNITION) - [5. TEXT RECOGNITION MODEL INFERENCE USING CUSTOM CHARACTERS DICTIONARY](#USING_CUSTOM_CHARACTERS) - [6. MULTILINGUAL MODEL INFERENCE](MULTILINGUAL_MODEL_INFERENCE) - + - [ANGLE CLASSIFICATION MODEL INFERENCE](#ANGLE_CLASS_MODEL_INFERENCE) - [1. ANGLE CLASSIFICATION MODEL INFERENCE](#ANGLE_CLASS_MODEL_INFERENCE) @@ -98,7 +98,7 @@ After the conversion is successful, there are two files in the directory: Download the angle classification model: ``` -wget -P ./ch_lite/ https://paddleocr.bj.bcebos.com/20-09-22/cls/ch_ppocr_mobile-v1.1.cls_pre.tar && tar xf ./ch_lite/ch_ppocr_mobile-v1.1.cls_pre.tar -C ./ch_lite/ +wget -P ./ch_lite/ https://paddleocr.bj.bcebos.com/20-09-22/cls/ch_ppocr_mobile_v1.1_cls_train.tar && tar xf ./ch_lite/ch_ppocr_mobile_v1.1_cls_train.tar -C ./ch_lite/ ``` The angle classification model is converted to the inference model in the same way as the detection, as follows: @@ -108,7 +108,7 @@ The angle classification model is converted to the inference model in the same w # Global.checkpoints parameter Set the training model address to be converted without adding the file suffix .pdmodel, .pdopt or .pdparams. # Global.save_inference_dir Set the address where the converted model will be saved. -python3 tools/export_model.py -c configs/cls/cls_mv3.yml -o Global.checkpoints=./ch_lite/cls_model/best_accuracy \ +python3 tools/export_model.py -c configs/cls/cls_mv3.yml -o Global.checkpoints=./ch_lite/ch_ppocr_mobile_v1.1_cls_train/best_accuracy \ Global.save_inference_dir=./inference/cls/ ``` @@ -304,7 +304,7 @@ dict_character = list(self.character_str) ### 4. SRN-BASED TEXT RECOGNITION MODEL INFERENCE -The recognition model based on SRN requires additional setting of the recognition algorithm parameter --rec_algorithm="SRN". +The recognition model based on SRN requires additional setting of the recognition algorithm parameter --rec_algorithm="SRN". At the same time, it is necessary to ensure that the predicted shape is consistent with the training, such as: --rec_image_shape="1, 64, 256" ``` -- GitLab