提交 738d787b 编写于 作者: L LDOUBLEV

fix doc and modify config

上级 f5e0e9d0
......@@ -92,6 +92,7 @@ python3 tools/infer/predict_system.py --image_dir="./doc/imgs/11.jpg" --det_mode
- [文本检测模型训练/评估/预测](./doc/doc_ch/detection.md)
- [文本识别模型训练/评估/预测](./doc/doc_ch/recognition.md)
- [基于预测引擎推理](./doc/doc_ch/inference.md)
- [yml配置文件参数介绍](./doc/doc_ch/config_ch.md)
- [数据集](./doc/doc_ch/datasets.md)
- [FAQ](#FAQ)
- [联系我们](#欢迎加入PaddleOCR技术交流群)
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......@@ -92,7 +92,9 @@ For more text detection and recognition models, please refer to the document [In
- [Text detection model training/evaluation/prediction](./doc/doc_en/detection_en.md)
- [Text recognition model training/evaluation/prediction](./doc/doc_en/recognition_en.md)
- [Inference](./doc/doc_en/inference_en.md)
- [Introduction of yml file](./doc/doc_en/config_en.md)
- [Dataset](./doc/doc_en/datasets_en.md)
- [FAQ]((#FAQ)
## TEXT DETECTION ALGORITHM
......@@ -170,6 +172,7 @@ Please refer to the document for training guide and use of PaddleOCR text recogn
![](doc/imgs_results/chinese_db_crnn_server/2.jpg)
![](doc/imgs_results/chinese_db_crnn_server/8.jpg)
<a name="FAQ"></a>
## FAQ
1. Error when using attention-based recognition model: KeyError: 'predict'
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......@@ -6,7 +6,8 @@ Global:
print_batch_step: 2
save_model_dir: ./output/det_db/
save_epoch_step: 200
eval_batch_step: 5000
# evaluation is run every 2000 iterations after the 5000th iteration
eval_batch_step: [5000, 5000]
train_batch_size_per_card: 16
test_batch_size_per_card: 16
image_shape: [3, 640, 640]
......
......@@ -6,7 +6,7 @@ Global:
print_batch_step: 5
save_model_dir: ./output/det_east/
save_epoch_step: 200
eval_batch_step: 5000
eval_batch_step: [5000, 5000]
train_batch_size_per_card: 16
test_batch_size_per_card: 16
image_shape: [3, 512, 512]
......
......@@ -6,7 +6,7 @@ Global:
print_batch_step: 2
save_model_dir: ./output/det_db/
save_epoch_step: 200
eval_batch_step: 5000
eval_batch_step: [5000, 5000]
train_batch_size_per_card: 8
test_batch_size_per_card: 16
image_shape: [3, 640, 640]
......
......@@ -6,7 +6,7 @@ Global:
print_batch_step: 5
save_model_dir: ./output/det_east/
save_epoch_step: 200
eval_batch_step: 5000
eval_batch_step: [5000, 5000]
train_batch_size_per_card: 8
test_batch_size_per_card: 16
image_shape: [3, 512, 512]
......
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