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Code for the AAAI 2018 publication "SEE: Towards Semi-Supervised End-to-End Scene Text Recognition"

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Hello @Bartzi, I'm tring to train SVHN dataset using following train.csv which path is defined in curricum.json as follows ![train](https://user-images.githubusercontent.com/5838252/54102268-b71dbb80-43ed-11e9-8629-1e3be6c38b83.PNG) Command for trainning svhn dataset is sudo python3 chainer/train_svhn.py "/root/see-master/datasets/train_dataextract_train/curriculum.json"...

Hi Bartzi, I want to run the **train_svhn.py**, I have prepared the data set as per the instruction given in **Read me** file for running **train_svhn.py**. As per #20 ,...

I am unable to find the prepared datasets on the site that you have [linked](https://bartzi.de/research/see#) to. Do I need to prepare the datasets myself? Is it possible to get them...

Hi, I have a question about the ground truth files for FSNS curriculum learning. I've created the ground truth file with images containing up to 2 words using this command:...

Thanks for sharing your code with us. Could you also share your saved model?

@Bartzi Hi, I ran the fsns_demo.py using my pictures,but it doesn't work well.The result identified the wrong word and the incorrect bboxs. The process I made my pictures as follows:...

Hi,fsns has 4 views img,so how to deal 4 imgs by one network?

Hi, I have trained the model on SVHN dataset. I have trained the model on google colab notebook. After training the model the following directory created. **NOTE:** _I have trained...

Hi @Bartzi I already successfully train my custom data set (loss score below 0.01) with this command until last epoch: ``` python train_text_recognition.py mytrain/curriculum.json log \ --blank-label 0 \ --batch-size...