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Pytorch implementation of ICCV'23 paper "Generalizing Event-based Motion Deblurring in Real-World Scenarios"

License: Apache License 2.0

Python 50.56% Shell 0.01% C++ 10.55% Cuda 38.88%

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gem's Issues

Exposure-Guided Event Representation.

After I read the paper, I know that events are split and accumulate by timestamp, and this method looks like a voxelgrid approach to convert event stream to a tensor.
First, I didn't understand the opreation of the code in the file codes/data/utils.py 38th row. Can you explain this to help me further undersatnd it.
看不懂的代码
Second, when I tried to visualize the results of this event tensor, I found the output picture is black, and the most value of the tensor E are zero.
E的内容

Train Error

When I run the train command "python main.py --yaml_path configs/evreds_train.yaml", it break down at the start of second stage with the error "ValueError: dictionary update sequence element #0 has length 1; 2 is required".
I want to know the version of pytorch, whether the version of package is wrong.

Dataset Collection

I didn't know how to achieve the time synchronization between event camera and RGB camera, could you help me? Thank you!

Data set processing

Hello, take HS-ERGB as an example, the grayscale in the article converts the data set into gray and then trains and tests it, and where is the big fuzzy data set?

Question regrading the metric of LEVS and Motion-ETR.

Hi, senior @XiangZ-0 . Thank you for your great work. I have a question about performance metric calculations.

The paper mentions that the metrics are calculated based on sequence reconstruction, but for blur decomposition tasks like LEVS and Motion-ETR, since the motion direction cannot be discerned from the blurred image, there exist sequences with completely opposite directions but identical blur. (moving right and moving left objects for example). I'm curious about how these two metrics are calculated. (Perhaps I have a misunderstanding about the blur decomposition task.)

Another question is about the deblurring results of LEVS. It seems like there is color distortion. Is this normal?
image

I would be very grateful if you could clear up my confusion.

use pretrain model to deblur my images

Hi, author. Your work is really excellent, and I am particularly interested in applying the code provided in the paper to my own set of images by using your pretrained model. Could you please provide some guidance about how to convert my own data into the format of input data and use the pretrained model to deblur?

Thank you very much for your time and consideration.

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