CRAFT-Remade
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How to reproduce the provided ICDAR2013 model?
Hi.
I have try that train model for ICDAR2013 dataset. my way:
- Save & load your SynthText Strong Supervision model (trained model for SynthText dataset, 50k iter)
2-a.
python main.py weakly-supervision --model model/63000_model.pkl --iterations 2
2-b.python main.py weakly-supervision --model model/63000_model.pkl --iterations 5
[2-a] I trained for ICDAR2013 dataset and sampled SynthText dataset with probability 1/6 for each batch, totally 25k iters. But I couldn't reproduce the same performance as the ICDAR2013 model you provided. So, I did [2-b] but same results as [2-a].
How can I reproduce the results ICDAR2013 dataset?
Hello @yeonsikch. The model file that I shared for IC13 dataset is trained on using just 1 iteration. Can you try with --iterations 1