Correct drive links for DB_IC15 and DB_TD500

pull/20972/head
Ihsan Soydemir 3 years ago committed by GitHub
parent eb152d7431
commit 9637cf0574
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  1. 4
      doc/tutorials/dnn/dnn_text_spotting/dnn_text_spotting.markdown

@ -102,7 +102,7 @@ recommended parameter setting: -inputHeight=736, -inputWidth=1280;
description: This model is trained on ICDAR2015, so it can only detect English text instances.
- DB_IC15_resnet18.onnx:
url: https://drive.google.com/uc?export=dowload&id=1sZszH3pEt8hliyBlTmB-iulxHP1dCQWV
url: https://drive.google.com/uc?export=dowload&id=1vY_KsDZZZb_svd5RT6pjyI8BS1nPbBSX
sha: 19543ce09b2efd35f49705c235cc46d0e22df30b
recommended parameter setting: -inputHeight=736, -inputWidth=1280;
description: This model is trained on ICDAR2015, so it can only detect English text instances.
@ -114,7 +114,7 @@ recommended parameter setting: -inputHeight=736, -inputWidth=736;
description: This model is trained on MSRA-TD500, so it can detect both English and Chinese text instances.
- DB_TD500_resnet18.onnx:
url: https://drive.google.com/uc?export=dowload&id=1vY_KsDZZZb_svd5RT6pjyI8BS1nPbBSX
url: https://drive.google.com/uc?export=dowload&id=1sZszH3pEt8hliyBlTmB-iulxHP1dCQWV
sha: 8a3700bdc13e00336a815fc7afff5dcc1ce08546
recommended parameter setting: -inputHeight=736, -inputWidth=736;
description: This model is trained on MSRA-TD500, so it can detect both English and Chinese text instances.

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