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jianjulymm-gan's Issues
Running conda env create -f environment.yml, many packages fail from ResolvePackageNotFound. The environment.yml was exported from a machine where the environment was working fine.
ResolvePackageNotFound:
- scipy==1.1.0=py35hfa4b5c9_1
- qt==5.6.3=h39df351_1
- pyqt==5.6.0=py35h8210e8a_7
- mkl_random==1.0.1=py35h4414c95_1
- glib==2.56.2=hd408876_0
- h5py==2.8.0=py35h989c5e5_3
- jpeg==9b=h024ee3a_2
- hdf5==1.10.2=hba1933b_1
- freetype==2.9.1=h8a8886c_1
- gst-plugins-base==1.14.0=hbbd80ab_1
- libuuid==1.0.3=h1bed415_2
- numpy-base==1.15.2=py35h81de0dd_0
- scikit-image==0.14.0=py35hfc679d8_1
- cudnn==7.1.2=cuda9.0_0
- nccl==1.3.5=cuda9.0_0
- numpy==1.15.2=py35h1d66e8a_0
- pcre==8.42=h439df22_0
- pytorch==0.4.1=py35ha74772b_0
- dbus==1.13.2=h714fa37_1
- sip==4.18.1=py35hfc679d8_0
- libgcc-ng==8.2.0=hdf63c60_1
- ninja==1.8.2=py35h6bb024c_1
- tornado==5.1.1=py35h470a237_0
- libgfortran-ng==7.3.0=hdf63c60_0
- ncurses==6.1=hf484d3e_0
- cudatoolkit==9.0=h13b8566_0
- fontconfig==2.13.0=h9420a91_0
- matplotlib==2.2.3=py35h8e2386c_0
- icu==58.2=h9c2bf20_1
- libpng==1.6.35=hbc83047_0
- libtiff==4.0.9=he85c1e1_2
- pywavelets==1.0.1=py35h7eb728f_0
- libstdcxx-ng==8.2.0=hdf63c60_1
- libxml2==2.9.8=h26e45fe_1
- mkl_fft==1.0.6=py35h7dd41cf_0
- sqlite==3.25.3=h7b6447c_0
- libffi==3.2.1=hd88cf55_4
- libxcb==1.13=h1bed415_1
- python==3.5.5=hc3d631a_4
- expat==2.2.6=he6710b0_0
- libedit==3.1.20170329=h6b74fdf_2
- kiwisolver==1.0.1=py35hf484d3e_0
- xz==5.2.4=h14c3975_4
- zlib==1.2.11=ha838bed_2
- readline==7.0=h7b6447c_5
- tk==8.6.8=hbc83047_0
- cffi==1.11.5=py35he75722e_1
- pillow==5.2.0=py35heded4f4_0
- gstreamer==1.14.0=hb453b48_1
- openssl==1.0.2p=h470a237_1
Pretrained model weight
I follow the readme.md command step, use ./mmgan_hgg.sh training Brats2018 data, but network can't converge.
loss_d_real/fake and gan_adv_loss have been declining. I don't know if this is correct.
Cloud you share me with your pretrained model weight?
Output Doubts
Good morning,
I would like to know if the output files will be NIfTI as BRATS dataset, i.e., since the input files are in three dimensions if the output will have the same dimensions.
Regards,
André Ferreira.
Vague instructions
The instructions in "Open modules/configfile.py and change the following paths to match your folder structure:" are a little vague.
What folder structure? The zip files do not contain files like: 'BRATS2018_Unprocessed.h5'
It will be really helpful if you can add some screenshots and show how you set it up on your computer so that users can have some reference.
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