From c0b6d12694a52f6f7fc0442d360b3d719491893a Mon Sep 17 00:00:00 2001 From: tink2123 Date: Thu, 14 May 2020 12:04:43 +0800 Subject: [PATCH] update readme url --- README.md | 48 ++++++++++++++++++++++++------------------------ 1 file changed, 24 insertions(+), 24 deletions(-) diff --git a/README.md b/README.md index 142daabc..5b9510a3 100644 --- a/README.md +++ b/README.md @@ -53,42 +53,42 @@ python tools/infer/predict_system.py --image_dir="/test_imgs/" --det_model_dir=" ## 文本检测算法 PaddleOCR开源的文本检测算法列表： -- [x] [EAST](https://arxiv.org/abs/1704.03155) -- [x] [DB](https://arxiv.org/abs/1911.08947) -- [ ] [SAST](https://arxiv.org/abs/1908.05498)(百度自研, comming soon) +- [x] EAST([paper](https://arxiv.org/abs/1704.03155)) +- [x] DB([paper]((https://arxiv.org/abs/1911.08947))) +- [ ] SAST([paper]((https://arxiv.org/abs/1908.05498)))(百度自研, comming soon) 在ICDAR2015文本检测公开数据集上，算法效果如下： -|模型|骨干网络|Hmean| -|-|-|-| -|[EAST](https://paddleocr.bj.bcebos.com/det_r50_vd_east.tar)|ResNet50_vd|85.85%| -|[EAST](https://paddleocr.bj.bcebos.com/det_mv3_east.tar)|MobileNetV3|79.08%| -|[DB](https://paddleocr.bj.bcebos.com/det_r50_vd_db.tar)|ResNet50_vd|83.30%| -|[DB](https://paddleocr.bj.bcebos.com/det_mv3_db.tar)|MobileNetV3|73.00%| +|模型|骨干网络|Hmean|下载| +|-|-|-|-| +|EAST|ResNet50_vd|85.85%|[下载链接](https://paddleocr.bj.bcebos.com/det_r50_vd_east.tar)| +|EAST|MobileNetV3|79.08%|[下载链接](https://paddleocr.bj.bcebos.com/det_mv3_east.tar)| +|DB|ResNet50_vd|83.30%|[下载链接](https://paddleocr.bj.bcebos.com/det_r50_vd_db.tar)| +|DB|MobileNetV3|73.00%|[下载链接](https://paddleocr.bj.bcebos.com/det_mv3_db.tar)| PaddleOCR文本检测算法的训练和使用请参考文档教程中[文本检测模型训练/评估/预测](./doc/detection.md)。 ## 文本识别算法 PaddleOCR开源的文本识别算法列表： -- [x] [CRNN](https://arxiv.org/abs/1507.05717) -- [x] [Rosetta](https://arxiv.org/abs/1910.05085) -- [x] [STAR-Net](http://www.bmva.org/bmvc/2016/papers/paper043/index.html) -- [x] [RARE](https://arxiv.org/abs/1603.03915v1) -- [ ] [SRN](https://arxiv.org/abs/2003.12294)(百度自研, comming soon) +- [x] CRNN([paper](https://arxiv.org/abs/1507.05717)) +- [x] Rosetta([paper](https://arxiv.org/abs/1910.05085)) +- [x] STAR-Net([paper](http://www.bmva.org/bmvc/2016/papers/paper043/index.html)) +- [x] RARE([paper](https://arxiv.org/abs/1603.03915v1)) +- [ ] SRN([paper](https://arxiv.org/abs/2003.12294))(百度自研, comming soon) 参考[DTRB](https://arxiv.org/abs/1904.01906)文字识别训练和评估流程，使用MJSynth和SynthText两个文字识别数据集训练，在IIIT, SVT, IC03, IC13, IC15, SVTP, CUTE数据集上进行评估，算法效果如下： -|模型|骨干网络|Avg Accuracy| -|-|-|-| -|[Rosetta](https://paddleocr.bj.bcebos.com/rec_r34_vd_none_none_ctc.tar)|Resnet34_vd|80.24%| -|[Rosetta](https://paddleocr.bj.bcebos.com/rec_mv3_none_none_ctc.tar)|MobileNetV3|78.16%| -|[CRNN](https://paddleocr.bj.bcebos.com/rec_r34_vd_none_bilstm_ctc.tar)|Resnet34_vd|82.20%| -|[CRNN](https://paddleocr.bj.bcebos.com/rec_mv3_none_bilstm_ctc.tar)|MobileNetV3|79.37%| -|[STAR-Net](https://paddleocr.bj.bcebos.com/rec_r34_vd_tps_bilstm_ctc.tar)|Resnet34_vd|83.93%| -|[STAR-Net](https://paddleocr.bj.bcebos.com/rec_mv3_tps_bilstm_ctc.tar)|MobileNetV3|81.56%| -|[RARE](https://paddleocr.bj.bcebos.com/rec_r34_vd_tps_bilstm_attn.tar)|Resnet34_vd|84.90%| -|[RARE](https://paddleocr.bj.bcebos.com/rec_mv3_tps_bilstm_attn.tar)|MobileNetV3|83.32%| +|模型|骨干网络|Avg Accuracy|下载| +|-|-|-|-| +|Rosetta|Resnet34_vd|80.24%|[下载链接](https://paddleocr.bj.bcebos.com/rec_r34_vd_none_none_ctc.tar)| +|Rosetta|MobileNetV3|78.16%|[下载链接](https://paddleocr.bj.bcebos.com/rec_mv3_none_none_ctc.tar)| +|CRNN|Resnet34_vd|82.20%|[下载链接](https://paddleocr.bj.bcebos.com/rec_r34_vd_none_bilstm_ctc.tar)| +|CRNN|MobileNetV3|79.37%|[下载链接](https://paddleocr.bj.bcebos.com/rec_mv3_none_bilstm_ctc.tar)| +|STAR-Net|Resnet34_vd|83.93%|[下载链接](https://paddleocr.bj.bcebos.com/rec_r34_vd_tps_bilstm_ctc.tar)| +|STAR-Net|MobileNetV3|81.56%|[下载链接](https://paddleocr.bj.bcebos.com/rec_mv3_tps_bilstm_ctc.tar)| +|RARE|Resnet34_vd|84.90%|[下载链接](https://paddleocr.bj.bcebos.com/rec_r34_vd_tps_bilstm_attn.tar)| +|RARE|MobileNetV3|83.32%|[下载链接](https://paddleocr.bj.bcebos.com/rec_mv3_tps_bilstm_attn.tar)| PaddleOCR文本识别算法的训练和使用请参考文档教程中[文本识别模型训练/评估/预测](./doc/recognition.md)。 -- GitLab