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This is the project page of our paper which has been published in ECCV 2020.

Results 7 JSTASR-DesnowNet-ECCV-2020 issues
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Hi! I tried to download the A.h5 weight for modelparam folder but the 2 google-drive web links you provided cannot be found (i.e., open). Please can you provide a new...

Command - python predict.py -dataroot testImg -datatype tif -predictpath output -batch_size 3 import end Read img from: testImg Len of the file: 3 [||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||] 100.0% ...Loading data... (3, 480, 640,...

Thank you for your sharing! As you mentioned in your paper JSTASR that _"for each snow image, various types of snow are synthesized by Photoshop and the corresponding snow information...

Hello, I have some questions. I tested your pre-trained model (my environment -> windows 10, Cuda 9.0, Python 3.6, tensorflow 1.6.0, keras 2.2.0) with [SRRS_15004 dataset's Syn] 1000 random samples....

File "./predict.py", line 95, in modelRecoverCombine = model.model.build_combine_model() File "/home/zhila/Project/Research_Journal/JSTASR-DesnowNet-ECCV-2020/model/model.py", line 192, in build_combine_model modelSnow.load_weights('./modelParam/snowmodel.h5',by_name=False) File "/home/zhila/.local/lib/python3.6/site-packages/keras/engine/saving.py", line 492, in load_wrapper return load_function(*args, **kwargs) File "/home/zhila/.local/lib/python3.6/site-packages/keras/engine/network.py", line 1230, in load_weights...

Hello! I have recently taken an interest in your work. Could you please provide the relevant training code?

Hello, can you provide the pre-training model of DesnowNet? I want to use it for the comparative experiments.