Result is not so good

[jianchong-chen]

I run the demo with pre-trained model, and I find that the result is not as good as the paper descriped. Even through there are only numbers and english letters. Should I re-train the model with my dataset?

[kapness]

you can use another repo Advanced_East to solve this problem, paper points out that east can't process long text line well@jianchong-chen

[renukachittimalla]

Hello,

I have the same problem too. the model performance is not consistent. I have tested the model to understand the limits of model on long texts with varying font size. Please suggest if there could be any changes made. Also can you please suggest if changing receptice field size could improve the performance?

[rogersct]

Hello,

I have the same problem too. the model performance is not consistent. I have tested the model to understand the limits of model on long texts with varying font size. Please suggest if there could be any changes made. Also can you please suggest if changing receptice field size could improve the performance?

May i know where to find this receptive field size parameter?

[austingg]

@rogersct receptive field size can be calculate based on your network parameter such as conv kernel size, stride.

[jianchong-chen]

@kapness thanks for your help! I will try it later.

[daniiki]

@jianchong-chen Have you tried changing network parameters? Does it work?