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A PyTorch implementation of Mask TextSpotter

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Hi all, I'm running text spotting on batches of images, with TEST.IMS_PER_BATCH = 16. Some error raises from function process_char_mask in text_inference.py, that the length of boxes doesn't match char_masks.shape[0]...

bug

Thanks for your excellent work! Any plans for releasing codes of Total-Text evaluation?

And how can I train my own recognition only model?

if 'predictions' is None, we can return (None, None) https://github.com/MhLiao/MaskTextSpotter/blob/afe22795833dd93bc0b208de06b768ff1144eba9/tools/demo.py#L89

In TextDemo.compute_predictions, the method appends `polygons` to `result_polygons` before checking confidence score, resulting in occational orphaned polygons with no text or score and mismatched polygon and text in the visualisation.

@MhLiao If I want to use it to detect just numbers and '.', what should I do? Thanks

The pretrain code loaded the trained model to get the model, how to train from the begin without downloaded model? the loss seems to be very small.

when will the evaluation code be released?

Thanks to the author for sharing the code, I would like to ask you, for example, if I add 50 Chinese characters, what should I modify?