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View Code? Open in Web Editor NEWOfficial PyTorch implementation of "Focus on Defocus" paper.
License: MIT License
Official PyTorch implementation of "Focus on Defocus" paper.
License: MIT License
Hi, nice paper.
Thank you for releasing dataset link in readme.
However, there are only 500 scenes of training/testing set, which is a mismatch compared to what mentioned in the paper.
The all-in-focus ground truth and defocus maps are also missing.
Looking forward the complete dataset releasing.
hi, Do you have a testing script? If there is one I cannot find. Please help
Hello! You have a very interesting paper, and we would be happy to evaluate the results. When do you plan on publishing the evaluation code / training code / dataset?
due to blender version keep updating, when using the version 4.0 ,many api are changing ,some errors occured ,may I know what version is your blender ,and what platform ubuntu or windows,or do u have a new script fitting the newer blend version
Hi! Excuse me, this is a great paper! but I get an error when running run_training.py ([Errno 2] No such file or directory: '../models/a01_d02_t01/a01_d02_t01_ep1000.pth')can you help me?
Thank you for sharing the code.
I am trying to run the training process. But when I try the command "python run_training.py", It report ERROR "FileNotFoundError: [Errno 2] No such file or directory: '../models/a01_d02_t01/a01_d02_t01_ep1000.pth'". So how can I get the pre-trained model?
Thank you for sharing the code.
I am trying to run the training process. But based on the default setting, it seems we are supposed to load a model from step1
, and the training model is 2.
May I ask what they are? And where can I get the access to the MODEL1
?
defocus-net/source/run_training.py
Line 11 in 418601f
Line 199 in 418601f
This is a very interesting work!
After running and modifying the code, I get the predicated depth map and focus map, but I cannot find a way to get the predicted all-in-focus image. Could you please give me a clue to help me get the all-in-focus output?
Thanks a lot!
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