deep_blur_detection_and_classification

Tensorflow implementation of "Defocus and Motion Blur Detection with Deep Contextual Features"

For image examples:

This repository contains a test code and sythetic dataset, which consists of scenes including motion and defocus blurs together in each scene.

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Prerequisites

• Ubuntu 16.04
• Tensorflow 1.6.0 or higher
• Tensorlayer 1.8.2 or higher
• OpenCV2

Test Details

• download model weights from google drive and save the model into 'model' folder.
• specify a path of input folder in 'main.py' at line #39
• run 'main.py'

python main.py

Synthetic Dataset

• download synthetic train set(337MB) and synthetic test set(11.5MB) from google drive
• Note that sharp pixels, motion-blurred pixels, and defocus-blurred pixels in GT blur maps are labeled as 0, 100, and 200, respectively, in the [0,255] range.