Code for the AAAI18 paper PixelLink: Detecting Scene Text via Instance Segmentation, by Dan Deng, Haifeng Liu, Xuelong Li, and Deng Cai.

Scripts for converting ICDAR2015 and SynthText datasets have been provided in the datasets directory. It not hard to write a converting script for your own dataset.

Contributions to this repo are welcome, e.g., some other backbone networks (including the model definition and pretrained models).

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The program will visualize the detection results directly on images. If the detection result is not satisfying, try to:

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The program will create a zip file of detection results, which can be submitted to the ICDAR2015 server directly. The detection results can be visualized via scripts/vis.sh.

The existing training strategy in scripts/train.sh is configured for icdar2015, modify it if necessary. A lot of training or model options are available in config.py, try it yourself if you are interested.

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