@@ -10,30 +10,28 @@ For more details, please refer to the document [Classification Framework](https:
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@@ -10,30 +10,28 @@ For more details, please refer to the document [Classification Framework](https:
Next, we first introduce how to convert a trained model into an inference model, and then we will introduce text detection, text recognition, angle class, and the concatenation of them based on inference model.
Next, we first introduce how to convert a trained model into an inference model, and then we will introduce text detection, text recognition, angle class, and the concatenation of them based on inference model.
-[1. Convert Training Model to Inference Model](#CONVERT)
-[Inference Based on Python Prediction Engine](#inference-based-on-python-prediction-engine)
-[1.1 Convert Detection Model to Inference Model](#Convert_detection_model)
-[1. Convert Training Model to Inference Model](#1-convert-training-model-to-inference-model)
-[1.2 Convert Recognition Model to Inference Model](#Convert_recognition_model)
-[1.1 Convert Detection Model to Inference Model](#11-convert-detection-model-to-inference-model)
-[1.3 Convert Angle Classification Model to Inference Model](#Convert_angle_class_model)
-[1.2 Convert Recognition Model to Inference Model](#12-convert-recognition-model-to-inference-model)
-[1.3 Convert Angle Classification Model to Inference Model](#13-convert-angle-classification-model-to-inference-model)
-[2. Text Detection Model Inference](#2-text-detection-model-inference)
-[2. Text Detection Model Inference](#DETECTION_MODEL_INFERENCE)
-[2.1 Lightweight Chinese Detection Model Inference](#21-lightweight-chinese-detection-model-inference)
-[2.1 Lightweight Chinese Detection Model Inference](#LIGHTWEIGHT_DETECTION)
-[2.2 DB Text Detection Model Inference](#22-db-text-detection-model-inference)
-[2.2 DB Text Detection Model Inference](#DB_DETECTION)
-[2.3 EAST TEXT DETECTION MODEL INFERENCE](#23-east-text-detection-model-inference)
-[2.3 East Text Detection Model Inference](#EAST_DETECTION)
-[2.4 Sast Text Detection Model Inference](#24-sast-text-detection-model-inference)
-[2.4 Sast Text Detection Model Inference](#SAST_DETECTION)
-[(1). Quadrangle text detection model (ICDAR2015)](#1-quadrangle-text-detection-model-icdar2015)
-[(2). Curved text detection model (Total-Text)](#2-curved-text-detection-model-total-text)
-[3. Text Recognition Model Inference](#RECOGNITION_MODEL_INFERENCE)
-[3. Text Recognition Model Inference](#3-text-recognition-model-inference)
-[3.1 Lightweight Chinese Text Recognition Model Reference](#LIGHTWEIGHT_RECOGNITION)
-[3.1 Lightweight Chinese Text Recognition Model Reference](#31-lightweight-chinese-text-recognition-model-reference)
-[3.2 CTC-Based Text Recognition Model Inference](#CTC-BASED_RECOGNITION)
-[3.2 CTC-Based Text Recognition Model Inference](#32-ctc-based-text-recognition-model-inference)
-[3.3 SRN-Based Text Recognition Model Inference](#SRN-BASED_RECOGNITION)
-[3.3 SRN-Based Text Recognition Model Inference](#33-srn-based-text-recognition-model-inference)
-[3.4 Text Recognition Model Inference Using Custom Characters Dictionary](#USING_CUSTOM_CHARACTERS)
-[3.4 Text Recognition Model Inference Using Custom Characters Dictionary](#34-text-recognition-model-inference-using-custom-characters-dictionary)
-[3.5 Multilingual Model Inference](#MULTILINGUAL_MODEL_INFERENCE)
-[3.5 Multilingual Model Inference](#35-multilingual-model-inference)
-[4. Angle Classification Model Inference](#4-angle-classification-model-inference)
-[4. Angle Classification Model Inference](#ANGLE_CLASS_MODEL_INFERENCE)
-[5. Text Detection Angle Classification and Recognition Inference Concatenation](#5-text-detection-angle-classification-and-recognition-inference-concatenation)
-[5.1 Lightweight Chinese Model](#51-lightweight-chinese-model)
-[5. Text Detection Angle Classification And Recognition Inference Concatenation](#CONCATENATION)
-[5.2 Other Models](#52-other-models)
-[5.1 Lightweight Chinese Model](#LIGHTWEIGHT_CHINESE_MODEL)
-[5.2 Other Models](#OTHER_MODELS)
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## 1. Convert Training Model to Inference Model
## 1. Convert Training Model to Inference Model
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@@ -371,7 +369,7 @@ After executing the command, the prediction results (classification angle and sc
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### 5.1 Lightweight Chinese Model
### 5.1 Lightweight Chinese Model
When performing prediction, you need to specify the path of a single image or a folder of images through the parameter `image_dir`, the parameter `det_model_dir` specifies the path to detect the inference model, the parameter `cls_model_dir` specifies the path to angle classification inference model and the parameter `rec_model_dir` specifies the path to identify the inference model. The parameter `use_angle_cls` is used to control whether to enable the angle classification model. The parameter `use_mp` specifies whether to use multi-process to infer `total_process_num` specifies process number when using multi-process. The parameter . The visualized recognition results are saved to the `./inference_results` folder by default.
When performing prediction, you need to specify the path of a single image or a folder of images through the parameter `image_dir`, the parameter `det_model_dir` specifies the path to detect the inference model, the parameter `cls_model_dir` specifies the path to angle classification inference model and the parameter `rec_model_dir` specifies the path to identify the inference model. The parameter `use_angle_cls` is used to control whether to enable the angle classification model. The parameter `use_mp` specifies whether to use multi-process to infer `total_process_num` specifies process number when using multi-process. The parameter(Paddle Inference is not thread-safe, it is recommended to use multi-process) . The visualized recognition results are saved to the `./inference_results` folder by default.
