FOTS Pytorch Implementation

Overview

News!!! Recognition branch now is added into model. The whole project has beed optimized and refactored.

  • ICDAR Dataset
  • SynthText 800K Dataset
  • detection branch (verified on the training set, It works!)
  • recognition branch
  • eval
  • multi-gpu training
  • reasonable project structure
  • wandb
  • pytorch_lightning

Introduction

This is a PyTorch implementation of FOTS.

Instruction

Requirements

  1. build tools

    ./build.sh
    
  2. prepare Dataset

  3. create virtual env, you may need conda

conda create --name fots --file spec-file.txt
conda activate fots
pip install -r reqs.txt

Training

# quite easy, for single gpu training set gpus to [0]. 0 is the id of your gpu.
python train.py -c pretrain.json
python train.py -c finetune.json

Evaluation

python eval.py -m <model.tar.gz> -i <input_images_folder> -o <output_folders>

Benchmarking and Models (Coming soon!)

Acknowledgement

Owner
Ning Lu
CV and NLP 长期招聘 OCR 方向实习生,欢迎来撩。
Ning Lu
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