Official Code for TiCLS: Tightly Coupled Language Text Spotter

News

• TiCLS has been accepted to WACV 2026!

Installation

Python 3.8 + PyTorch 1.9.0 + CUDA 11.1 + Detectron2 (v0.6)

git clone https://github.com/knowledge-computing/TiCLS.git
cd ticls

conda create -n ticls python=3.8 -y
conda activate ticls

pip install torch==1.9.0+cu111 torchvision==0.10.0+cu111 -f https://download.pytorch.org/whl/torch_stable.html
pip install -r requirements.txt
python -m pip install detectron2 -f https://dl.fbaipublicfiles.com/detectron2/wheels/cu111/torch1.9/index.html

pip uninstall -y urllib3
pip install urllib3==1.26.6
pip install transformers==4.46.3

python setup.py build develop

How to Run

Train

python tools/train_net.py --config-file ${CONFIG_FILE} --num-gpus 4

Evaluation

python tools/train_net.py --config-file ${CONFIG_FILE} --num-gpus 2 --eval-only MODEL.WEIGHTS ${MODEL_PATH}

To-Do List

• Release pretrained and fine-tuned TiCLS model weights
• Release pretrained PLM model weights
• Release detailed dataset information