This task aims to estimate the blur magnitude for each pixel from a blurry image as below example. The details will be in our ECCV 2024 Paper. The downstream task is our DADeblur for video deblurring.
In this task, we use the RAFT and GoPro to generate training dataset for BME. The details will be in our ECCV 2024 Paper
python generate_dataset/generate_dataset.py
You can download the our model weight from this link BME Model Weight
dataset/
├── video1/
│ ├── blur_image/
│ └── blur_mag_np/
├── video2/
│ ├── blur_image/
│ └── blur_mag_np/
├── video3/
│ ├── blur_image/
│ └── blur_mag_np/
python main.py --training_dataset_path="your training dataset" --testing_dataset_path="your testing dataset" --weight_path="weight output path"
python main.py --infer_dataset_path="your inference dataset" --infer_output_path="your output folder path" --weight_path="model weight path" --test_only