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Hi, thank you for a great work.
I'm having some trouble reproducing the ICDAR2015 result.
First, I use the synth-text pretrained weight to generate character labels.
According to #99 , I fill the boxes with confidence scores > 0.8 to generate masks.
Then, I start training using synth-text pretrained weights and the generated COCO format label.
The result of the model is {"precision": 0.7594320486815416, "recall": 0.9012999518536351, "hmean": 0.8243064729194188}.
Although Recall is very close to the original data on paper, Precision drops a lot.
Could anyone give me some help?
The text was updated successfully, but these errors were encountered:
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Hi, thank you for a great work.
I'm having some trouble reproducing the ICDAR2015 result.
First, I use the synth-text pretrained weight to generate character labels.
According to #99 , I fill the boxes with confidence scores > 0.8 to generate masks.
Then, I start training using synth-text pretrained weights and the generated COCO format label.
The result of the model is
{"precision": 0.7594320486815416, "recall": 0.9012999518536351, "hmean": 0.8243064729194188}.
Although Recall is very close to the original data on paper, Precision drops a lot.
Could anyone give me some help?
The text was updated successfully, but these errors were encountered: