Merge pull request #207 from ku21fan/patch-1
Add abbreviation for TPS-ResNet-BiLSTM-Attn (=TRBA)
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@ -48,7 +48,7 @@ CUDA_VISIBLE_DEVICES=0 python3 demo.py \
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#### prediction results
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| demo images | [TPS-ResNet-BiLSTM-Attn](https://drive.google.com/open?id=1b59rXuGGmKne1AuHnkgDzoYgKeETNMv9) | [TPS-ResNet-BiLSTM-Attn (case-sensitive)](https://drive.google.com/open?id=1ajONZOgiG9pEYsQ-eBmgkVbMDuHgPCaY) |
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| demo images | [TRBA (**T**PS-**R**esNet-**B**iLSTM-**A**ttn)](https://drive.google.com/open?id=1b59rXuGGmKne1AuHnkgDzoYgKeETNMv9) | [TRBA (case-sensitive version)](https://drive.google.com/open?id=1ajONZOgiG9pEYsQ-eBmgkVbMDuHgPCaY) |
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| --- | --- | --- |
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| <img src="./demo_image/demo_1.png" width="300"> | available | Available |
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| <img src="./demo_image/demo_2.jpg" width="300"> | shakeshack | SHARESHACK |
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@ -78,7 +78,7 @@ CUDA_VISIBLE_DEVICES=0 python3 test.py \
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--saved_model saved_models/None-VGG-BiLSTM-CTC-Seed1111/best_accuracy.pth
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```
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3. Try to train and test our best accuracy combination (TPS-ResNet-BiLSTM-Attn) also. ([download pretrained model](https://drive.google.com/drive/folders/15WPsuPJDCzhp2SvYZLRj8mAlT3zmoAMW))
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3. Try to train and test our best accuracy model TRBA (**T**PS-**R**esNet-**B**iLSTM-**A**ttn) also. ([download pretrained model](https://drive.google.com/drive/folders/15WPsuPJDCzhp2SvYZLRj8mAlT3zmoAMW))
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```
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CUDA_VISIBLE_DEVICES=0 python3 train.py \
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--train_data data_lmdb_release/training --valid_data data_lmdb_release/validation \
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