/ Machine Learning

Fast Oriented Text Spotting with a Unified Networkt

Fast Oriented Text Spotting with a Unified Networkt

FOTS_TF

This is an implementation of FOTS: Fast Oriented Text Spotting with a Unified Network

Install

  • Python2
  • tensorflow
  • OpenCV

Model

Model pretrained on Synth800 for 6 epoch and finetuned on ICDAR15 BaiduYunLink keys:0aky
or GithubLink thanks for harish2704.
If you encounter problems, you can refer to #16.

Train

python2 multigpu_train.py --gpu_list=gpu_id --training_data_path=/path/to/trainset/

You should also change line 824 in icdar.py should be changed for the path of annotation file

Test

python2 eval.py --gpu_list=gpu_id --test_data_path=/path/to/testset/ --checkpoint_path=checkpoints/

Examples

image_1
image_2
image_3

Differences from paper

  • Without OHEM
  • Pretrained on Synth800k for 6 epochs not 10 epochs
  • Fine-tuned on ICDAR15 only without ICDAR2017 MLT
  • And it can only get F-score 56 on ICDAR2015 testset, more training tricks are needed

Reference

GitHub