zlinker / dehazenet Goto Github PK
View Code? Open in Web Editor NEWan end to end dehaze tools
an end to end dehaze tools
hi, i'm currently reimplementing the experiment, can you upload the code to generate haze patches? I followed the steps by Bolun Cai. But the haze images are so blurring.
Hi,
I saw that the architecture seems to be different compared to the original DehazeNet. There seems to be no BRelu units, the stadard Relu units are used instead. Also the architecture alone seems to be a little bit different. For example in the feature extraction phase there is supossed to be maxout unit only. You performed maxout using max pooling after Relu activation etc. Also the filter numbers are a bit different. What are the reasons ?
I0307 17:14:24.393541 4778 net.cpp:200] conv2/5x5 does not need backward computation.
I0307 17:14:24.393559 4778 net.cpp:200] conv2/3x3 does not need backward computation.
I0307 17:14:24.393576 4778 net.cpp:200] conv2/1x1 does not need backward computation.
I0307 17:14:24.393594 4778 net.cpp:200] reshape2_reshape2_0_split does not need backward computation.
I0307 17:14:24.393611 4778 net.cpp:200] reshape2 does not need backward computation.
I0307 17:14:24.393627 4778 net.cpp:200] pool1 does not need backward computation.
I0307 17:14:24.393640 4778 net.cpp:200] reshape1 does not need backward computation.
I0307 17:14:24.393649 4778 net.cpp:200] relu1 does not need backward computation.
I0307 17:14:24.393661 4778 net.cpp:200] conv1 does not need backward computation.
I0307 17:14:24.393671 4778 net.cpp:200] input does not need backward computation.
I0307 17:14:24.393680 4778 net.cpp:242] This network produces output ip1-conv
I0307 17:14:24.393713 4778 net.cpp:255] Network initialization done.
I0307 17:14:24.393977 4778 net.cpp:744] Ignoring source layer data
I0307 17:14:24.394007 4778 net.cpp:744] Ignoring source layer ip1
I0307 17:14:24.394019 4778 net.cpp:744] Ignoring source layer loss
/home/fql/anaconda3/lib/python3.6/site-packages/skimage/io/_io.py:49: UserWarning: as_grey
has been deprecated in favor of as_gray
warn('as_grey
has been deprecated in favor of as_gray
')
F0307 17:14:31.605160 4778 syncedmem.hpp:33] Check failed: *ptr host allocation of size 6144000000 failed
*** Check failure stack trace: ***
the picture's pixel is 1200X800 or 4752X3168
Hello zlinker,
Thanks for sharing the DehazeNet for inference. I was wondering if you can share the training caffe code and dataset with me?
Yunyang
Hi zlinker.
I'm curious about the dehazenet but your DehazeNet.py file seems to not have the max satulation, max constract and hue disparity which were described the original paper. How did you use the max out function ?
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