apsisnet 0.0.2

Description:

apsisnet 0.0.2

apsis-net

Apsis-net is a Bengali language ocr system for Printed Documents developed at Apsis Solutions limited
The full system is focused on bengali text recognition only

Text recognition:

Bangla Text : ApsisNet

ApsisNet is a model developed at Apsis Solutions Limited.
It is used by bbOCR as the recognition model
ApsisNet is found to be the best among other available recognition models (such as tesseract and easyOCR) in the linked paper





Installation
As module/pypi package
cpu installation
pip install apsisnet

gpu installation
It is recommended to use conda environment . Specially for GPU.

installing cudatoolkit and cudnn:

conda install cudatoolkit
conda install cudnn


installing packages

pip install apsisnet


exporting environment variables

mkdir -p $CONDA_PREFIX/etc/conda/activate.d
echo 'export LD_LIBRARY_PATH=$CUDNN_PATH/lib:$CONDA_PREFIX/lib/:$LD_LIBRARY_PATH' >> $CONDA_PREFIX/etc/conda/activate.d/env_vars.sh

Building from source : Linux/Ubuntu
It is recommended to use conda environment .

clone the repository :

git clone https://github.com/mnansary/apsisnet.git
cd apsisnet


create a conda environment:

conda create -n apsisnet python=3.9


activate conda environment:

conda activate apsisnet


cpu installation :

bash install.sh cpu


gpu installation :

bash install.sh gpu

Useage
Apsisnet : Bangla Recognizer

useage

from apsisnet import ApsisNet
bnocr=ApsisNet()
bnocr.infer(crops)


docstring for ApsisNet.infer

"""
Perform inference on image crops.

Args:
crops (list[np.ndarray]): List of image crops.
batch_size (int): Batch size for inference (default: 32).
normalize_unicode (bool): Flag to normalize unicode (default: True).

Returns:
list[str]: List of inferred texts.
"""

check useage/useage.ipynb for examples
TESTED GPU INFERENCE SERVER CONFIG
OS : Ubuntu 20.04.6 LTS
Memory : 62.4 GiB
Processor : Intel® Xeon(R) Silver 4214R CPU @ 2.40GHz × 24
Graphics : NVIDIA RTX A6000/PCIe/SSE2
Gnome : 3.36.8

License
Contents of this repository are restricted to non-commercial research purposes only under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License (CC BY-NC-SA 4.0).

25-04-2024

changed onnxruntime-gpu version