- 通过自己搭建OCR的框架,总结学习到的OCR算法、pytorch的操作、python操作、部署操作
- 同步添加部分通用目标检测模型供OCR场景使用
- 性能正在逐步优化
- 添加amp和ema并测试通过 2021.04.17
- TensorRt加速CRNN和DBNet测试通过 2021.03.22
- DDP单机多卡测试通过 2021.01.18
- 添加主干网络(ResNetVd、MobileNetV3) 2020.12.26
- CRNN测试通过 2020.12.15
- DBNet测试通过 2020.12.10
- 框架训练测试推理测试通过 2020.11.30
- DBNet
- CRNN
The ocr detect icdar2015 results should be as follows:
Model | precision(ours) | recall(ours) | F-measure(ours) | precision (paper) | recall (paper) | F-measure (paper) |
---|---|---|---|---|---|---|
DBNet-r50 | 88.9 | 77.6 | 82.9 | 88.3 | 77.9 | 82.8 |
https://github.com/hua1024/OpenDeploy
1.https://github.com/open-mmlab/mmdetection
2.https://github.com/PaddlePaddle/PaddleOCR
3.https://github.com/BADBADBADBOY/pytorchOCR
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