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Update benchmark
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SWHL committed Apr 16, 2024
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16 changes: 12 additions & 4 deletions content/docs/about_model/model_summary.md
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Expand Up @@ -37,9 +37,9 @@ katex: true
| ch_PP-OCRv4_det_server_infer.onnx | 108M | 0.7922 | 0.8533 | 0.8216 | 3.9093 |
| ch_ppocr_server_v2.0_det_infer.onnx | 47M | 0.7298 | 0.8128 | 0.7691 | 0.7419 |
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| [damo/cv_proxylessnas_ocr-detection-db-line-level_damo](https://www.modelscope.cn/models/iic/cv_proxylessnas_ocr-detection-db-line-level_damo/summary) | 5.8M | 0.7666 | 0.8128 | 0.7890 | 0.6636 |
| [damo/cv_resnet18_ocr-detection-db-line-level_damo](https://www.modelscope.cn/models/iic/cv_resnet18_ocr-detection-db-line-level_damo/summary) | 47.2M | 0.7749 | 0.8167 | 0.7952 | 0.4121 |
| [damo/cv_resnet18_ocr-detection-line-level_damo](https://modelscope.cn/models/iic/cv_resnet18_ocr-detection-line-level_damo/summary) 未跑通 | 312M | - | - | - | - |
| [读光-文字检测-轻量化端侧DBNet行检测模型-中英-通用领域](https://www.modelscope.cn/models/iic/cv_proxylessnas_ocr-detection-db-line-level_damo/summary) | 5.8M | 0.7666 | 0.8128 | 0.7890 | 0.6636 |
| [读光-文字检测-DBNet行检测模型-中英-通用领域](https://www.modelscope.cn/models/iic/cv_resnet18_ocr-detection-db-line-level_damo/summary) | 47.2M | 0.7749 | 0.8167 | 0.7952 | 0.4121 |
| [读光-文字检测-行检测模型-中英-通用领域](https://modelscope.cn/models/iic/cv_resnet18_ocr-detection-line-level_damo/summary) 未跑通 | 312M | - | - | - | - |


不同推理引擎下,效果比较:
Expand All @@ -63,6 +63,13 @@ katex: true
|ch_PP-OCRv4_rec_server_infer.onnx | release/v2.7 | 86M | 0.7968 | 0.9381 | 0.6967 |
|ch_PP-OCRv2_rec_infer.onnx | release/v2.3 | 8.0M | 0.6387 | 0.8398 | 0.6138|
|ch_ppocr_mobile_v2.0_rec_infer.onnx | release/v2.0 | 4.3M | 0.5323 | 0.7823 | 0.5575|
|[读光-文字识别-行识别模型-中英-文档印刷体文本领域](https://www.modelscope.cn/models/iic/cv_convnextTiny_ocr-recognition-document_damo/summary) | - | 73M | 0.5968 | 0.7705 | - |
|[读光-文字识别-行识别模型-中英-通用领域](https://www.modelscope.cn/models/iic/cv_convnextTiny_ocr-recognition-general_damo/summary) | - | 73M | 0.5839 | 0.7615 | - |
|[读光-文字识别-行识别模型-中英-自然场景文本领域](https://www.modelscope.cn/models/iic/cv_convnextTiny_ocr-recognition-scene_damo/summary) | - | 73M | 0.5903 | 0.7779 | - |
|[读光-文字识别-轻量化端侧识别模型-中英-通用领域](https://www.modelscope.cn/models/iic/cv_LightweightEdge_ocr-recognitoin-general_damo/summary) | - | 7.4M | 0.5484 | 0.7515 | - |
|[读光-文字识别-CRNN模型-中英-通用领域](https://www.modelscope.cn/models/iic/cv_crnn_ocr-recognition-general_damo/summary) | - | 46M | 0.5935 | 0.7671 | - |
|[OFA文字识别-中文-通用场景-base](https://www.modelscope.cn/models/iic/ofa_ocr-recognition_general_base_zh/summary) 未跑通 | - | - | - | - | - |


不同推理引擎下,效果比较:
| 推理引擎 | 模型 | 模型大小 | Exact Match | Char Match | Speed(s/img) |
Expand All @@ -74,7 +81,8 @@ katex: true
- 输入Shape:
- v2: `[3, 32, 320]`
- v3~v4: `[3, 48, 320]`
- 不同模型,实例化如下:

- 不同模型,实例化示例如下:
```python {linenos=table}
from rapidocr_onnxruntime import RapidOCR

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