Dataset preparation
You can download any set of images which are text, scenery etc . Using gaussian blur you can blur a copy of the images. I have took a dataset from roboflow . Made following folders
--Licenseplate_blur_clear_dataset --train --blur --sharp --test --blur --sharp --valid --blur --sharp Copy original images of train,test,valid to sharp folder. To fill the images in blur folder you can use this code. now we are done with data preparation. Dataset which i prepared can be found here
Installation
pip install -r requirements.txt
Train
python train.py
Test
pretrained weights can be found here
python predict.py -i ./test_img -o ./submit -m ./saved_models/best_fpn.h5
Gallery
Colab Notebook
Credits