Comments (3)
Thank you for reporting this issue!
Try replacing the contents of the environment.yml file with this:
name: eeg
channels:
- conda-forge
- defaults
dependencies:
- appdirs=1.4.4=pyh9f0ad1d_0
- apptools=5.1.0=pyh44b312d_0
- argon2-cffi=20.1.0=py38h294d835_2
- async_generator=1.10=py_0
- attrs=20.3.0=pyhd3deb0d_0
- backcall=0.2.0=pyh9f0ad1d_0
- backports=1.0=py_2
- backports.functools_lru_cache=1.6.1=py_0
- bleach=3.3.0=pyh44b312d_0
- blosc=1.21.0=h0e60522_0
- brotli=1.0.9=h0e60522_4
- brotlipy=0.7.0=py38h294d835_1001
- bzip2=1.0.8=h8ffe710_4
- ca-certificates=2020.12.5=h5b45459_0
- cached-property=1.5.1=py_0
- certifi=2020.12.5=py38haa244fe_1
- cffi=1.14.5=py38hd8c33c5_0
- cftime=1.4.1=py38h347fdf6_0
- chardet=4.0.0=py38haa244fe_1
- charls=2.2.0=h39d44d4_0
- cloudpickle=1.6.0=py_0
- colorama=0.4.4=pyh9f0ad1d_0
- configobj=5.0.6=py_0
- cryptography=3.4.4=py38hb7941b4_0
- curl=7.71.1=h4b64cdc_8
- cvxpy=1.1.10=py38haa244fe_0
- cvxpy-base=1.1.10=py38h4c96930_0
- cycler=0.10.0=py_2
- cytoolz=0.11.0=py38h294d835_3
- dask-core=2021.2.0=pyhd8ed1ab_0
- decorator=4.4.2=py_0
- defusedxml=0.6.0=py_0
- dipy=1.3.0=py38hbc2243c_1
- double-conversion=3.1.5=h6538335_2
- ecos=2.0.7.post1=py38h347fdf6_4
- eigen=3.3.9=h2d74725_1
- entrypoints=0.3=pyhd8ed1ab_1003
- envisage=4.9.2=pyh9f0ad1d_1
- expat=2.2.10=h39d44d4_0
- ffmpeg=4.3.1=ha925a31_0
- freetype=2.10.4=h546665d_1
- giflib=5.2.1=h8d14728_2
- gl2ps=1.4.2=h0597ee9_0
- glew=2.1.0=h39d44d4_2
- hdf4=4.2.13=h0e5069d_1004
- hdf5=1.10.6=nompi_h5268f04_1114
- icu=68.1=h0e60522_0
- idna=2.10=pyh9f0ad1d_0
- imagecodecs=2021.1.28=py38hb9201fa_0
- imageio=2.9.0=py_0
- imageio-ffmpeg=0.4.3=pyhd8ed1ab_0
- importlib-metadata=3.7.0=py38haa244fe_0
- importlib_metadata=3.7.0=hd8ed1ab_0
- intel-openmp=2020.3=h57928b3_311
- ipykernel=5.5.0=py38hc5df569_1
- ipython=7.20.0=py38hc5df569_2
- ipython_genutils=0.2.0=py_1
- ipywidgets=7.6.3=pyhd3deb0d_0
- jedi=0.18.0=py38haa244fe_2
- joblib=1.0.1=pyhd8ed1ab_0
- jpeg=9d=h8ffe710_0
- jsoncpp=1.9.4=h2d74725_1
- jsonschema=3.2.0=py_2
- jupyter=1.0.0=py38haa244fe_6
- jupyter_client=6.1.11=pyhd8ed1ab_1
- jupyter_console=6.2.0=py_0
- jupyter_core=4.7.1=py38haa244fe_0
- jupyterlab_pygments=0.1.2=pyh9f0ad1d_0
- jupyterlab_widgets=1.0.0=pyhd8ed1ab_1
- jxrlib=1.1=h8ffe710_2
- kiwisolver=1.3.1=py38hbd9d945_1
- krb5=1.17.2=hbae68bd_0
- lcms2=2.12=h2a16943_0
- lerc=2.2.1=h0e60522_0
- libaec=1.0.4=h39d44d4_1
- libblas=3.9.0=8_mkl
- libcblas=3.9.0=8_mkl
- libclang=11.0.1=default_h5c34c98_1
- libcurl=7.71.1=h4b64cdc_8
- libdeflate=1.7=h8ffe710_5
- libflang=5.0.0=h6538335_20180525
- libiconv=1.16=he774522_0
- liblapack=3.9.0=8_mkl
- libnetcdf=4.7.4=nompi_h3a9aa94_107
- libogg=1.3.4=h8ffe710_1
- libpng=1.6.37=h1d00b33_2
- libsodium=1.0.18=h8d14728_1
- libssh2=1.9.0=hb06d900_5
- libtheora=1.1.1=h62dcd97_1004
- libtiff=4.2.0=hc10be44_0
- libwebp-base=1.2.0=h8ffe710_0
- libxml2=2.9.10=hf5bbc77_3
- libzopfli=1.0.3=h0e60522_0
- llvm-meta=5.0.0=0
- llvmlite=0.35.0=py38h57a6900_1
- loguru=0.5.3=py38h32f6830_2
- lz4-c=1.9.3=h8ffe710_0
- m2w64-gcc-libgfortran=5.3.0=6
- m2w64-gcc-libs=5.3.0=7
- m2w64-gcc-libs-core=5.3.0=7
- m2w64-gmp=6.1.0=2
- m2w64-libwinpthread-git=5.0.0.4634.697f757=2
- matplotlib=3.3.4=py38haa244fe_0
- matplotlib-base=3.3.4=py38h34ddff4_0
- mayavi=4.7.2=py38h8d3ad35_4
- meshio=4.3.8=pyhd8ed1ab_0
- mffpy=0.6.2=pyhd8ed1ab_0
- mistune=0.8.4=py38h294d835_1003
- mkl=2020.4=hb70f87d_311
- mne=0.22.0=pyhd8ed1ab_2
- mock=4.0.3=py38haa244fe_1
- msys2-conda-epoch=20160418=1
- nbclient=0.5.2=pyhd8ed1ab_0
- nbconvert=6.0.7=py38haa244fe_3
- nbformat=5.1.2=pyhd8ed1ab_1
- nest-asyncio=1.4.3=pyhd8ed1ab_0
- netcdf4=1.5.6=nompi_py38h5338a22_100
- networkx=2.5=py_0
- nibabel=3.2.1=pyhd8ed1ab_0
- nilearn=0.7.0=pyhd8ed1ab_0
- notebook=6.2.0=py38haa244fe_0
- numba=0.52.0=py38h4c96930_0
- numexpr=2.7.2=py38h4c96930_0
- olefile=0.46=pyh9f0ad1d_1
- openjpeg=2.4.0=h48faf41_0
- openmp=5.0.0=vc14_1
- openssl=1.1.1j=h8ffe710_0
- osqp=0.6.2=py38h4c96930_1
- packaging=20.9=pyh44b312d_0
- pandas=1.2.2=py38h4c96930_0
- pandoc=2.11.4=h8ffe710_0
- pandocfilters=1.4.2=py_1
- parso=0.8.1=pyhd8ed1ab_0
- patsy=0.5.1=py_0
- pickleshare=0.7.5=py_1003
- pillow=8.1.0=py38h9273828_2
- pip=21.0.1=pyhd8ed1ab_0
- pooch=1.3.0=pyhd8ed1ab_0
- proj=7.2.0=h1cfcee9_2
- prometheus_client=0.9.0=pyhd3deb0d_0
- prompt-toolkit=3.0.16=pyha770c72_0
- prompt_toolkit=3.0.16=hd8ed1ab_0
- psutil=5.8.0=py38h294d835_1
- pugixml=1.11.4=h0e60522_0
- pycparser=2.20=pyh9f0ad1d_2
- pydicom=2.1.2=pyhd3deb0d_0
- pyface=7.1.0=pyh9f0ad1d_0
- pygments=2.8.0=pyhd8ed1ab_0
- pyopenssl=20.0.1=pyhd8ed1ab_0
- pyparsing=2.4.7=pyh9f0ad1d_0
- pyqt=5.12.3=py38haa244fe_7
- pyqt-impl=5.12.3=py38h885f38d_7
- pyqt5-sip=4.19.18=py38h885f38d_7
- pyqtchart=5.12=py38h885f38d_7
- pyqtwebengine=5.12.1=py38h885f38d_7
- pyreadline=2.1=py38haa244fe_1003
- pyrsistent=0.17.3=py38h294d835_2
- pysocks=1.7.1=py38haa244fe_3
- pysurfer=0.11.0=py_0
- pytables=3.6.1=py38h153c448_3
- python=3.8.8=h7840368_0_cpython
- python-dateutil=2.8.1=py_0
- python-picard=0.4=pyh5ca1d4c_1
- python_abi=3.8=1_cp38
- pytz=2021.1=pyhd8ed1ab_0
- pyvista=0.28.1=pyhd8ed1ab_1
- pyvistaqt=0.3.0=pyhd8ed1ab_0
- pywavelets=1.1.1=py38h347fdf6_3
- pywin32=300=py38h294d835_0
- pywinpty=0.5.7=py38h32f6830_1
- pyyaml=5.4.1=py38h294d835_0
- pyzmq=22.0.3=py38h7a0e47e_0
- qdldl-python=0.1.5=py38h4c96930_0
- qt=5.12.9=h5909a2a_4
- qtconsole=5.0.2=pyhd8ed1ab_0
- qtpy=1.9.0=py_0
- requests=2.25.1=pyhd3deb0d_0
- scikit-image=0.18.1=py38h4c96930_0
- scikit-learn=0.24.1=py38ha09990b_0
- scooby=0.5.6=pyh9f0ad1d_0
- scs=2.1.2=py38h7465cd0_2
- send2trash=1.5.0=py_0
- setuptools=49.6.0=py38haa244fe_3
- six=1.15.0=pyh9f0ad1d_0
- snappy=1.1.8=ha925a31_3
- spyder-kernels=1.10.2=py38haa244fe_0
- sqlite=3.34.0=h8ffe710_0
- statsmodels=0.12.2=py38h347fdf6_0
- tbb=2020.2=h2d74725_3
- tbb-devel=2020.2=h2d74725_3
- terminado=0.9.2=py38haa244fe_0
- testpath=0.4.4=py_0
- threadpoolctl=2.1.0=pyh5ca1d4c_0
- tifffile=2021.2.1=pyhd8ed1ab_0
- tk=8.6.10=h8ffe710_1
- toolz=0.11.1=py_0
- tornado=6.1=py38h294d835_1
- tqdm=4.57.0=pyhd8ed1ab_0
- traitlets=5.0.5=py_0
- traits=6.2.0=py38h294d835_0
- traitsui=7.1.0=pyh9f0ad1d_0
- transforms3d=0.3.1=py_0
- urllib3=1.26.3=pyhd8ed1ab_0
- utfcpp=3.1.2=0
- vc=14.2=hb210afc_3
- vs2015_runtime=14.28.29325=h5e1d092_3
- vtk=9.0.1=no_osmesa_py38h3499093_104
- wcwidth=0.2.5=pyh9f0ad1d_2
- webencodings=0.5.1=py_1
- wheel=0.36.2=pyhd3deb0d_0
- widgetsnbextension=3.5.1=py38haa244fe_4
- win32_setctime=1.0.3=py_0
- win_inet_pton=1.1.0=py38haa244fe_2
- wincertstore=0.2=py38haa244fe_1006
- winpty=0.4.3=4
- xlrd=2.0.1=pyhd8ed1ab_3
- xz=5.2.5=h62dcd97_1
- yaml=0.2.5=he774522_0
- zeromq=4.3.3=h0e60522_3
- zfp=0.5.5=h0e60522_4
- zipp=3.4.0=py_0
- zlib=1.2.11=h62dcd97_1010
- zstd=1.4.8=h4e2f164_1
- pip:
- absl-py==0.11.0
- aggdraw==1.3.12
- aniso8601==9.0.1
- astunparse==1.6.3
- bidict==0.21.2
- bioread==2.1.2
- biosppy==0.6.1
- cachetools==4.2.1
- click==8.0.1
- cvxopt==1.2.6
- docopt==0.6.2
- fasttext==0.9.2
- flask==2.0.1
- flask-restful==0.3.9
- future==0.18.2
- gast==0.3.3
- google-auth==1.27.0
- google-auth-oauthlib==0.4.2
- google-pasta==0.2.0
- grpcio==1.35.0
- h5py==2.10.0
- imbalanced-learn==0.8.0
- itsdangerous==2.0.1
- jinja2==3.0.1
- keras-preprocessing==1.1.2
- keyboard==0.13.5
- markdown==3.3.4
- markupsafe==2.0.1
- mouseinfo==0.1.3
- neurokit==0.2.0
- nltk==3.6.2
- nolds==0.5.2
- numpy==1.18.5
- oauthlib==3.1.0
- opt-einsum==3.3.0
- protobuf==3.15.2
- pyasn1==0.4.8
- pyasn1-modules==0.2.8
- pyautogui==0.9.52
- pybind11==2.6.2
- pydot==1.4.2
- pygetwindow==0.0.9
- pymsgbox==1.0.9
- pynput==1.7.3
- pyperclip==1.8.2
- pyrect==0.1.4
- pyscreeze==0.1.27
- python-graphviz==0.16
- pytweening==1.0.3
- regex==2021.7.6
- requests-oauthlib==1.3.0
- rsa==4.7.2
- scipy==1.4.1
- seaborn==0.11.1
- shortuuid==1.0.1
- sklearn==0.0
- tensorboard==2.4.1
- tensorboard-plugin-wit==1.8.0
- tensorflow==2.3.0
- tensorflow-estimator==2.3.0
- termcolor==1.1.0
- visualkeras==0.0.2
- werkzeug==2.0.1
- wget==3.2
- wrapt==1.12.1
In case this does not solve the problem please write to me ([email protected]), I will be happy to help you.
from mi-eeg-1d-cnn.
Cool! Thanks for such a fast response, I'll try it out today and contact you in any case
from mi-eeg-1d-cnn.
Hello Fran! I believe I managed to run a training correctly. I had to erase some lines from the environment.yml that you send me, they were
changed python-graphviz
to graphviz
deleted libwebp-base
(couldn't find any variant
but i still believe those packages were not that important for the training itself but rather for graphs, logs and prints (please tell me if that's not the case and how we can work it out. I'll take a break for the weekend but I'll come back to it on monday and review any changes you suggest and then start comparing it to our data and model. I'll comment you on the results as soon as I get it.
Thanks for your help man!
from mi-eeg-1d-cnn.
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from mi-eeg-1d-cnn.