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Mar 29, 2023
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update readme on context for reported dbnet results #124

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update readme on context for reported dbnet results
SamitHuang Mar 29, 2023
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Merge branch 'main' of github.com:SamitHuang/mindocr into main
SamitHuang Mar 29, 2023
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13 changes: 9 additions & 4 deletions configs/det/dbnet/README.md
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Expand Up @@ -37,13 +37,18 @@ The overall architecture of DBNet is presented in _Figure 1._ It consists of mul
### ICDAR2015
<div align="center">

| **Model** | **Backbone** | **Pretrained** | **Recall** | **Precision** | **F-score** | **Recipe** | **Download** |
|------------------|--------------|----------------|------------|---------------|-------------|-----------------------------|----------------------------------------------------------------------------------------------|
| DBNet (ours) | ResNet-50 | ImageNet | 81.70% | 85.84% | 83.72% | [yaml](db_r50_icdar15.yaml) | [weights](https://download.mindspore.cn/toolkits/mindocr/dbnet/dbnet_resnet50-db1df47a.ckpt) |
| DBNet (PaddleOCR)| ResNet50_vd | SynthText | 78.72% | 86.41% | 82.38% |
| **Model** | **Context** | **Backbone** | **Pretrained** | **Recall** | **Precision** | **F-score** | **Recipe** | **Download** |
|---------------|--------------|----------------|------------|---------------|-------------|-----------------------------|----------------------------------------------------------------------------------------------| ----------|
| DBNet (ours) | D910x1-MS1.9-G | ResNet-50 | ImageNet | 81.70% | 85.84% | 83.72% | [yaml](db_r50_icdar15.yaml) | [weights](https://download.mindspore.cn/toolkits/mindocr/dbnet/dbnet_resnet50-db1df47a.ckpt) |
| DBNet (PaddleOCR) | - | ResNet50_vd | SynthText | 78.72% | 86.41% | 82.38% |

</div>

#### Notes
- Context: Training context denoted as {device}x{pieces}-{MS version}{MS mode}, where mindspore mode can be G - graph mode or F - pynative mode with ms function. For example, D910x8-G is for training on 8 pieces of Ascend 910 NPU using graph mode.



## Quick Start

### Preparation
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11 changes: 7 additions & 4 deletions configs/det/dbnet/README_CN.md
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Expand Up @@ -28,13 +28,16 @@ DBNet的整体架构图如图1所示，包含以下阶段:
### ICDAR2015
<div align="center">

| **模型** | **骨干网络** | **预训练数据集** | **Recall** | **Precision** | **F-score** | **配置文件** | **模型权重下载** |
|------------------|------------|----------------|------------|---------------|-------------|-------------------------------|----------------------------------------------------------------------------------------------|
| DBNet (ours) | ResNet-50 | ImageNet | 81.70% | 85.84% | 83.72% | [yaml](db_r50_icdar15.yaml) | [weights](https://download.mindspore.cn/toolkits/mindocr/dbnet/dbnet_resnet50-db1df47a.ckpt) |
| DBNet (PaddleOCR)| ResNet50_vd | SynthText | 78.72% | 86.41% | 82.38% |
| **模型** | **环境配置** | **骨干网络** | **预训练数据集** | **Recall** | **Precision** | **F-score** | **配置文件** | **模型权重下载** |
|------------------|------------|-------------|----------------|------------|---------------|-------------|-------------------------------|----------------------------------------------------------------------------------------------|
| DBNet (ours) | D910x1-MS1.9-G | ResNet-50 | ImageNet | 81.70% | 85.84% | 83.72% | [yaml](db_r50_icdar15.yaml) | [weights](https://download.mindspore.cn/toolkits/mindocr/dbnet/dbnet_resnet50-db1df47a.ckpt) |
| DBNet (PaddleOCR)| - | ResNet50_vd | SynthText | 78.72% | 86.41% | 82.38% |

</div>

#### 注释：
- 环境配置：训练的环境配置表示为 {处理器}x{处理器数量}-{MS模式}，其中 Mindspore 模式可以是 G-graph 模式或 F-pynative 模式。

## 快速上手

### 准备
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