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doc/doc_en/algorithm_rec_rare_en.md
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- [3. Model training, evaluation, prediction](#3)
- [3.1 Training](#3-1)
- [3.2 Evaluation](#3-2)
- [3.3 Forecast](#3-3)
- [3.3 Prediction](#3-3)
- [4. Inference Deployment](#4)
- [4.1 Python Reasoning](#4-1)
- [4.2 C++ Reasoning] (#4-2)
- [4.2 C++ Reasoning](#4-2)
- [4.3 Serving service deployment](#4-3)
- [4.4 More inference deployments](#4-4)
- [5. FAQ](#5)
@ -31,12 +31,12 @@ Using MJSynth and SynthText two text recognition datasets for training, and eval
<a name="2"></a>
## 2. Environment configuration
Please refer to ["Operating Environment Preparation"](./environment.md) to configure the PaddleOCR operating environment, and refer to ["Project Clone"](./clone.md) to clone the project code.
Please refer to ["Operating Environment Preparation"](./environment_en.md) to configure the PaddleOCR operating environment, and refer to ["Project Clone"](./clone_en.md) to clone the project code.
<a name="3"></a>
## 3. Model training, evaluation, prediction
Please refer to [Text Recognition Training Tutorial](./recognition.md). PaddleOCR modularizes the code, and training different recognition models only requires **changing the configuration file**. Take the backbone network based on Resnet34_vd as an example:
Please refer to [Text Recognition Training Tutorial](./recognition_en.md). PaddleOCR modularizes the code, and training different recognition models only requires **changing the configuration file**. Take the backbone network based on Resnet34_vd as an example:
<a name="3-1"></a>
### 3.1 Training

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doc/doc_en/algorithm_rec_rosetta_en.md
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@ -5,10 +5,10 @@
- [3. Model training, evaluation, prediction](#3)
- [3.1 Training](#3-1)
- [3.2 Evaluation](#3-2)
- [3.3 Forecast](#3-3)
- [3.3 Prediction](#3-3)
- [4. Inference Deployment](#4)
- [4.1 Python Reasoning](#4-1)
- [4.2 C++ Reasoning] (#4-2)
- [4.2 C++ Reasoning](#4-2)
- [4.3 Serving service deployment](#4-3)
- [4.4 More inference deployments](#4-4)
- [5. FAQ](#5)
@ -31,13 +31,13 @@ Using MJSynth and SynthText two text recognition datasets for training, and eval
<a name="2"></a>
## 2. Environment configuration
Please refer to ["Operating Environment Preparation"](./environment.md) to configure the PaddleOCR operating environment, and refer to ["Project Clone"](./clone.md) to clone the project code.
Please refer to ["Operating Environment Preparation"](./environment_en.md) to configure the PaddleOCR operating environment, and refer to ["Project Clone"](./clone_en.md) to clone the project code.
<a name="3"></a>
## 3. Model training, evaluation, prediction
Please refer to [Text Recognition Training Tutorial](./recognition.md). PaddleOCR modularizes the code, and training different recognition models only requires **changing the configuration file**. Take the backbone network based on Resnet34_vd as an example:
Please refer to [Text Recognition Training Tutorial](./recognition_en.md). PaddleOCR modularizes the code, and training different recognition models only requires **changing the configuration file**. Take the backbone network based on Resnet34_vd as an example:
<a name="3-1"></a>
### 3.1 Training