The revised simulated dataset and the associated files required to generate simulated data has been updated in "Simulated Data for bangali text localisation in natural image", Sourav saha, Md Easin Arafat, Md Aminul Haque Palash, Faria Afrin, Md Dewan Farid, M Shamim Kaiser
** simulated text-localization Image Samples **
At first create a conda environment. We choose bste_dataset as the name of the environment.
conda create -n bste_dataset python==3.9.0
conda activate bste_dataset
pip install -r requirements.txt
To generate data need to maintain few files. In the table below illustrating the file formatting.
first download the Source Dataset.zip file from this Link. Then create a file in the root of this repo named utils.
| path | Source Dataset |
|---|---|
utils/text |
unzip text.zip and copy only text folder |
utils/fonts |
unzip fonts.zip and copy only fonts folder |
utils/background |
Unzip background.zip and copy only backgraound folder |
utils/colors.cp |
Unzip color.zip and copy only colors folder |
Now just run python datagen.py