DAIR-Group/SpiS-GAN
Image-to-Image • Updated
Dataset Viewer
The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code: StreamingRowsError
Exception: ValueError
Message: Dataset 'imgs' has length 32 but expected 66603
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 147, in get_rows_or_raise
return get_rows(
dataset=dataset,
...<4 lines>...
column_names=column_names,
)
File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
return func(*args, **kwargs)
File "/src/services/worker/src/worker/utils.py", line 127, in get_rows
rows_plus_one = list(itertools.islice(safe_iter(ds, dataset=dataset), rows_max_number + 1))
File "/src/services/worker/src/worker/utils.py", line 478, in safe_iter
yield from ds.decode(False) if ds.features else ds
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2818, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2355, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2380, in _iter_arrow
for key, pa_table in self.ex_iterable._iter_arrow():
~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 536, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 419, in _iter_arrow
for key, pa_table in self.generate_tables_fn(**gen_kwags):
~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/hdf5/hdf5.py", line 80, in _generate_tables
num_rows = _check_dataset_lengths(h5, self.info.features)
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/hdf5/hdf5.py", line 359, in _check_dataset_lengths
raise ValueError(f"Dataset '{path}' has length {dset.shape[0]} but expected {num_rows}")
ValueError: Dataset 'imgs' has length 32 but expected 66603Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
SpiS-GAN: Spiral-Modulated Handwriting Synthesis with Star Operation
Introduction
This repository contains the reference code and dataset for the paper: SpiS-GAN is a GAN-based handwriting synthesis framework designed to generate realistic, legible, and writer-consistent handwriting for improving downstream handwritten text recognition (HTR) systems.
Overview
Installation
Create a Python environment and install PyTorch for your CUDA version first. Then install the remaining dependencies:
# Install torch/torchvision following the official PyTorch command for your system.
# Example: https://pytorch.org/get-started/locally/
pip install -r requirements.txt
Code
We released in on GitHub : https://github.com/DAIR-Group/SpiS-GAN
Current release status:
| Resource | Status |
|---|---|
| 32px datasets/checkpoints | Available |
| 64px datasets/checkpoints | To be updated |
Data Preparation
The dataset loader expects HDF5 files under ./data/. Current path settings are defined in lib/path_config.py.
Expected files:
data/
|-- train_32.hdf5 # IAM train/validation split
|-- test_32.hdf5 # IAM test split
|-- train_vn.h5 # Vietnamese train/validation split
|-- test_vn.h5 # Vietnamese test split
|-- english_words.txt # English lexicon
`-- vietnamese_words.txt # Vietnamese lexicon
Training
Train on English handwriting data:
python train.py --config configs/SpiS_gan_iam_32.yml
Train on Vietnamese handwriting data:
python train.py --config configs/SpiS_gan_vn_32.yml
64px configurations are also available:
python train.py --config configs/SpiS_gan_iam_64.yml
python train.py --config configs/SpiS_gan_vn_64.yml
The 64px configuration files are included for reproducibility and future use. The public 64px datasets/checkpoints will be updated later.
Training outputs are written to runs/<config-name>-<timestamp>/, including generated samples and checkpoints according to each YAML configuration.
Generation
Generate handwriting samples from a config file:
python generate.py --config configs/SpiS_gan_iam_32.yml
Use random lexicon sampling:
python generate.py --config configs/SpiS_gan_vn_32.yml --random_lexicon
Set the ckpt field in the YAML config to the trained checkpoint path before running generation.
Configuration
Main configuration files:
| Config | Dataset | Resolution |
|---|---|---|
configs/SpiS_gan_iam_32.yml |
IAM English handwriting | 32px |
configs/SpiS_gan_iam_64.yml |
IAM English handwriting | 64px |
configs/SpiS_gan_vn_32.yml |
Vietnamese handwriting | 32px |
configs/SpiS_gan_vn_64.yml |
Vietnamese handwriting | 64px |
Handwriting synthesis and reconstruction results on IAM dataset
Handwriting synthesis results on HANDS-VNOnDB dataset
Repository Structure
.
|-- configs/ # Training and generation configs for IAM and Vietnamese data
|-- docs/ # README figures and result images
|-- data/ # Lexicons and expected dataset/checkpoint location
|-- fid_kid/ # FID/KID evaluation utilities
|-- font/ # Font assets used by the pipeline
|-- lib/ # Dataset, alphabet, path, and utility code
|-- networks/ # Generator, discriminator, recognizer, and model modules
|-- generate.py # Generate handwriting samples from a trained checkpoint
|-- train.py # Train SpiS-GAN from a config file
`-- README.md
Citation
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