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ModelZoo
PaddleOCR_paddle_onnxruntime
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# PaddleOCR
# PaddleOCR
## 论文
## 论文
det、rec、cls三个模型的backbone基于mobilenetv3,可参考mobilenetv3的相关论文
PaddleOCR通过det、rec、cls三个模型分别实现字符检测、字符识别和字符方向分类的应用
det模型主要用DB算法,参考论文如下:
https://arxiv.org/pdf/1911.08947.pdf
rec模型主要用SVTR算法,参考论文如下:
https://arxiv.org/pdf/2205.00159.pdf
cls模型用mobilenetv3实现通用分类,参考论文如下:
https://arxiv.org/pdf/1905.02244.pdf
https://arxiv.org/pdf/1905.02244.pdf
## 模型结构
## 模型结构
```
det:
det:
└─ Backbone:

└─ name: MobileNetV3
└─ scale: 0.5
└─ model_name: large
└─ Neck:
└─ name: DBFPN
└─ out_channels: 256
└─ Head:
└─ name: DBHead
rec:
rec:
└─ Backbone:

└─ name: MobileNetV1Enhance
└─ scale: 0.5
└─ last_conv_stride: [1, 2]
└─ last_pool_type: avg
└─ Head:
└─ name: MultiHead
└─ head_list:
└─ CTCHead:
└─ Neck:
└─ name: svtr
└─ dims: 64
└─ depth: 2
└─ hidden_dims: 120
└─ use_guide: True
└─ Head:
└─ fc_decay: 0.00001
└─ SARHead:
└─ enc_dim: 512
└─ max_text_length: *max_text_length
cls:
cls:
└─ Backbone:

└─ name: MobileNetV3
└─ scale: 0.35
└─ model_name: small
└─ Head:
└─ name: ClsHead
└─ class_dim: 2
```
## 算法原理
## 算法原理
det->cls->rec->text
det->cls->rec->text
## 数据集
## 数据集
...
...
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