Recall and precision on ICDAR2013 about craft-remade HOT 12 CLOSED

Hey, Sorry for the delayed reply. I have been sick for a few days. Will solve the bugs in the master by the end of the day. Thank You for your patience.

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Can you provide this file？

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How about the recall and precision on ICDAR2013 by your implemention？

The weak supervision code seems to be working. I have updated the master branch to incorporate the changes. I will train the model tomorrow on IC13, IC15 and send the link to the pre-trained model, Generated character Bounding Boxes, and F-score.

Thank You for your patience.

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Hi @mayank-git-hub , thanks for your code. Do you mind telling me that what is the performance of the pre-trained model on ICDAR 13 dataset?

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Currently the performance is not good. I am able to achieve an approximate F-score of 70. I am tweaking and experimenting to improve the results. Will update the ReadMe file with the F-scores of all the datasets.

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Thanks for your reply. I am also working on the training code. And also only could get 0.71 H-mean on IC13 dataset. Looking for your results.

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Great, I am also working on it. Would update the Readme file as soon as I get better results. Thank You for your patience.

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@mayank-git-hub Quick question, 0.7051 F1 Score on IC13 is with CRAFT or ResNet CRAFT ? Which one is better and by how much ?

Thanks ;)

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The f score is with craft model with vgg backbone. Haven't tried resnet unet architecture.

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Thanks @mayank-git-hub. Btw, I saw you included link to Original Model by authors in the README. Can we load that model and fine tune it with this code ?

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Thanks @mayank-git-hub. Btw, I saw you included link to Original Model by authors in the README. Can we load that model and fine tune it with this code ?

Yep we can ;)

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Yep

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