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Apr 15, 2023
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update model readmes for mindir download urls #181

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10 changes: 5 additions & 5 deletions configs/det/dbnet/README.md
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Expand Up @@ -35,14 +35,14 @@ The overall architecture of DBNet is presented in _Figure 1._ It consists of mul
## 2. Results

### ICDAR2015

<div align="center">

| **Model** | **Context** | **Backbone** | **Pretrained** | **Recall** | **Precision** | **F-score** | **Train T. (s/epoch)** | **Recipe** | **Download** |
|--------------------|----------------|----------------|----------------|-------------|-------------|-------------|------------------------|-----------------------------|----------------------------------------------------------------------------------------------|
| DBNet (ours) | D910x1-MS1.9-G | ResNet-50 | ImageNet | 81.70% | 85.84% | 83.72% | 35 | [yaml](db_r50_icdar15.yaml) | [weights](https://download.mindspore.cn/toolkits/mindocr/dbnet/dbnet_resnet50-db1df47a.ckpt) |
| **Model** | **Context** | **Backbone** | **Pretrained** | **Recall** | **Precision** | **F-score** | **Train T.** | **Recipe** | **Download** |
|--------------------|----------------|----------------|----------------|-------------|-------------|-------------|-----------|-----------|----------------------------------------------------------------------------------------------|
| DBNet (ours) | D910x1-MS1.9-G | ResNet-50 | ImageNet | 81.70% | 85.84% | 83.72% | 35 s/epoch | [yaml](db_r50_icdar15.yaml) | [ckpt](https://download.mindspore.cn/toolkits/mindocr/dbnet/dbnet_resnet50-db1df47a.ckpt) \| [mindir](https://download.mindspore.cn/toolkits/mindocr/dbnet/dbnet_resnet50-db1df47a-bcd7ea35c.mindir) |
| DBNet (PaddleOCR) | - | ResNet50_vd | SynthText | 78.72% | 86.41% | 82.38% | - | - | - |
| DBNet++ | D910x1-MS1.9-G | ResNet-50 | ImageNet | 82.02% | 87.38% | 84.62% | - | - | - |

| DBNet++ | D910x1-MS1.9-G | ResNet-50 | ImageNet | 82.02% | 87.38% | 84.62% | - | - | - |
</div>

> More information of DBNet++ is coming soon. The only difference between _DBNet_ and _DBNet++_ is in the _Adaptive Scale Fusion_ module, which is controlled by the `use_asf` parameter in the `neck` module in yaml config file.
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4 changes: 2 additions & 2 deletions configs/det/dbnet/README_CN.md
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Expand Up @@ -28,9 +28,9 @@ DBNet的整体架构图如图1所示，包含以下阶段:
### ICDAR2015
<div align="center">

| **模型** | **环境配置** | **骨干网络** | **预训练数据集** | **Recall** | **Precision** | **F-score** | **训练时间(s/epoch)** | **配置文件** | **模型权重下载** |
| **模型** | **环境配置** | **骨干网络** | **预训练数据集** | **Recall** | **Precision** | **F-score** | **训练时间** | **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% | 35 | [yaml](db_r50_icdar15.yaml) | [weights](https://download.mindspore.cn/toolkits/mindocr/dbnet/dbnet_resnet50-db1df47a.ckpt) |
| DBNet (ours) | D910x1-MS1.9-G | ResNet-50 | ImageNet | 81.70% | 85.84% | 83.72% | 35 s/epoch | [yaml](db_r50_icdar15.yaml) | [ckpt](https://download.mindspore.cn/toolkits/mindocr/dbnet/dbnet_resnet50-db1df47a.ckpt) \| [mindir](https://download.mindspore.cn/toolkits/mindocr/dbnet/dbnet_resnet50-db1df47a-bcd7ea35c.mindir) |
| DBNet (PaddleOCR) | - | ResNet50_vd | SynthText | 78.72% | 86.41% | 82.38% | - | - | - |
| DBNet++ | D910x1-MS1.9-G | ResNet-50 | ImageNet | 82.02% | 87.38% | 84.62% | - | - | - |

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6 changes: 3 additions & 3 deletions configs/rec/crnn/README.md
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Expand Up @@ -37,10 +37,10 @@ According to our experiments, the evaluation results on public benchmark dataset

<div align="center">

| **Model** | **Context** | **Backbone** | **Avg Accuracy** | **Train T. (s/epoch)** | **Recipe** | **Download** |
| **Model** | **Context** | **Backbone** | **Avg Accuracy** | **Train T.** | **Recipe** | **Download** |
|------------------|----------------|---------------|------------------|------------------------|------------------------------------------------------------------------------------------------|--------------------------------------------------------------------------------------------|
| CRNN (ours) | D910x8-MS1.8-G | VGG7 | 82.03% | 2445 | [yaml](https://github.com/mindspore-lab/mindocr/blob/main/configs/rec/crnn/crnn_vgg7.yaml) | [weights](https://download.mindspore.cn/toolkits/mindocr/crnn/crnn_vgg7-ea7e996c.ckpt) |
| CRNN (ours) | D910x8-MS1.8-G | ResNet34_vd | 84.45% | 2118 | [yaml](https://github.com/mindspore-lab/mindocr/blob/main/configs/rec/crnn/crnn_resnet34.yaml) | [weights](https://download.mindspore.cn/toolkits/mindocr/crnn/crnn_resnet34-83f37f07.ckpt) |
| CRNN (ours) | D910x8-MS1.8-G | VGG7 | 82.03% | 2445 s/epoch | [yaml](https://github.com/mindspore-lab/mindocr/blob/main/configs/rec/crnn/crnn_vgg7.yaml) | [ckpt](https://download.mindspore.cn/toolkits/mindocr/crnn/crnn_vgg7-ea7e996c.ckpt) \| [mindir](https://download.mindspore.cn/toolkits/mindocr/crnn/crnn_vgg7-ea7e996c-3a19e349.mindir) |
| CRNN (ours) | D910x8-MS1.8-G | ResNet34_vd | 84.45% | 2118 s/epoch | [yaml](https://github.com/mindspore-lab/mindocr/blob/main/configs/rec/crnn/crnn_resnet34.yaml) | [ckpt](https://download.mindspore.cn/toolkits/mindocr/crnn/crnn_resnet34-83f37f07.ckpt) \| [mindir](https://download.mindspore.cn/toolkits/mindocr/crnn/crnn_resnet34-83f37f07-2f016384.mindir) |
| CRNN (PaddleOCR) | - | ResNet34_vd | 83.99% | - | - | - |

</div>
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6 changes: 3 additions & 3 deletions configs/rec/crnn/README_CN.md
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Expand Up @@ -37,10 +37,10 @@ Table Format:

<div align="center">

| **模型** | **环境配置** | **骨干网络** | **平均准确率** | 训练时间(s/epoch) | **配置文件** | **模型权重下载** |
| **模型** | **环境配置** | **骨干网络** | **平均准确率** | **训练时间** | **配置文件** | **模型权重下载** |
|------------------|----------------|---------------|-----------|---------------|------------------------------------------------------------------------------------------------|--------------------------------------------------------------------------------------------|
| CRNN (ours) | D910x8-MS1.8-G | VGG7 | 82.03% | 2445 | [yaml](https://github.com/mindspore-lab/mindocr/blob/main/configs/rec/crnn/crnn_vgg7.yaml) | [weights](https://download.mindspore.cn/toolkits/mindocr/crnn/crnn_vgg7-ea7e996c.ckpt) |
| CRNN (ours) | D910x8-MS1.8-G | ResNet34_vd | 84.45% | 2118 | [yaml](https://github.com/mindspore-lab/mindocr/blob/main/configs/rec/crnn/crnn_resnet34.yaml) | [weights](https://download.mindspore.cn/toolkits/mindocr/crnn/crnn_resnet34-83f37f07.ckpt) |
| CRNN (ours) | D910x8-MS1.8-G | VGG7 | 82.03% | 2445 s/epoch | [yaml](https://github.com/mindspore-lab/mindocr/blob/main/configs/rec/crnn/crnn_vgg7.yaml) | [ckpt](https://download.mindspore.cn/toolkits/mindocr/crnn/crnn_vgg7-ea7e996c.ckpt) \| [mindir](https://download.mindspore.cn/toolkits/mindocr/crnn/crnn_vgg7-ea7e996c-3a19e349.mindir) |
| CRNN (ours) | D910x8-MS1.8-G | ResNet34_vd | 84.45% | 2118 s/epoch | [yaml](https://github.com/mindspore-lab/mindocr/blob/main/configs/rec/crnn/crnn_resnet34.yaml) | [ckpt](https://download.mindspore.cn/toolkits/mindocr/crnn/crnn_resnet34-83f37f07.ckpt) \| [mindir](https://download.mindspore.cn/toolkits/mindocr/crnn/crnn_resnet34-83f37f07-2f016384.mindir) |
| CRNN (PaddleOCR) | - | ResNet34_vd | 83.99% | - | - | - |

</div>
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