Testing stuck

[LHJ97]

I followed the instructions stated in the readme to download all the wights and datasets, and put them in the corrected path. However when I started the test by running MyTest.py in command line, the code stuck when executing the line model = PraNet(). Could you please tell me where is the error or could you provide me with clearer tutorial to run your code?

Packages installed in the conda env:
_libgcc_mutex 0.1 main
blas 1.0 mkl
ca-certificates 2020.10.14 0
certifi 2020.11.8 py36h06a4308_0
cffi 1.14.4 py36h261ae71_0
cudatoolkit 10.0.130 0
cudnn 7.6.5 cuda10.0_0
freetype 2.10.4 h5ab3b9f_0
intel-openmp 2020.2 254
jpeg 9b h024ee3a_2
lcms2 2.11 h396b838_0
ld_impl_linux-64 2.33.1 h53a641e_7
libedit 3.1.20191231 h14c3975_1
libffi 3.3 he6710b0_2
libgcc-ng 9.1.0 hdf63c60_0
libgfortran-ng 7.3.0 hdf63c60_0
libpng 1.6.37 hbc83047_0
libstdcxx-ng 9.1.0 hdf63c60_0
libtiff 4.1.0 h2733197_1
lz4-c 1.9.2 heb0550a_3
mkl 2020.2 256
mkl-service 2.3.0 py36he904b0f_0
mkl_fft 1.2.0 py36h23d657b_0
mkl_random 1.1.1 py36h0573a6f_0
ncurses 6.2 he6710b0_1
ninja 1.10.2 py36hff7bd54_0
numpy 1.19.2 py36h54aff64_0
numpy-base 1.19.2 py36hfa32c7d_0
olefile 0.46 py36_0
openssl 1.1.1h h7b6447c_0
pillow 8.0.1 py36he98fc37_0
pip 20.3 py36h06a4308_0
pycparser 2.20 py_2
python 3.6.12 hcff3b4d_2
pytorch 1.1.0 cuda100py36he554f03_0
readline 8.0 h7b6447c_0
scipy 1.5.2 py36h0b6359f_0
setuptools 50.3.2 py36h06a4308_2
six 1.15.0 py36h06a4308_0
sqlite 3.33.0 h62c20be_0
tk 8.6.10 hbc83047_0
torchvision 0.3.0 cuda100py36h72fc40a_0
wheel 0.36.0 pyhd3eb1b0_0
xz 5.2.5 h7b6447c_0
zlib 1.2.11 h7b6447c_3
zstd 1.4.5 h9ceee32_0

Thanks a lot!

[DengPingFan]

I followed the instructions stated in the readme to download all the wights and datasets, and put them in the corrected path. However when I started the test by running MyTest.py in command line, the code stuck when executing the line model = PraNet(). Could you please tell me where is the error or could you provide me with clearer tutorial to run your code?

Packages installed in the conda env:
_libgcc_mutex 0.1 main
blas 1.0 mkl
ca-certificates 2020.10.14 0
certifi 2020.11.8 py36h06a4308_0
cffi 1.14.4 py36h261ae71_0
cudatoolkit 10.0.130 0
cudnn 7.6.5 cuda10.0_0
freetype 2.10.4 h5ab3b9f_0
intel-openmp 2020.2 254
jpeg 9b h024ee3a_2
lcms2 2.11 h396b838_0
ld_impl_linux-64 2.33.1 h53a641e_7
libedit 3.1.20191231 h14c3975_1
libffi 3.3 he6710b0_2
libgcc-ng 9.1.0 hdf63c60_0
libgfortran-ng 7.3.0 hdf63c60_0
libpng 1.6.37 hbc83047_0
libstdcxx-ng 9.1.0 hdf63c60_0
libtiff 4.1.0 h2733197_1
lz4-c 1.9.2 heb0550a_3
mkl 2020.2 256
mkl-service 2.3.0 py36he904b0f_0
mkl_fft 1.2.0 py36h23d657b_0
mkl_random 1.1.1 py36h0573a6f_0
ncurses 6.2 he6710b0_1
ninja 1.10.2 py36hff7bd54_0
numpy 1.19.2 py36h54aff64_0
numpy-base 1.19.2 py36hfa32c7d_0
olefile 0.46 py36_0
openssl 1.1.1h h7b6447c_0
pillow 8.0.1 py36he98fc37_0
pip 20.3 py36h06a4308_0
pycparser 2.20 py_2
python 3.6.12 hcff3b4d_2
pytorch 1.1.0 cuda100py36he554f03_0
readline 8.0 h7b6447c_0
scipy 1.5.2 py36h0b6359f_0
setuptools 50.3.2 py36h06a4308_2
six 1.15.0 py36h06a4308_0
sqlite 3.33.0 h62c20be_0
tk 8.6.10 hbc83047_0
torchvision 0.3.0 cuda100py36h72fc40a_0
wheel 0.36.0 pyhd3eb1b0_0
xz 5.2.5 h7b6447c_0
zlib 1.2.11 h7b6447c_3
zstd 1.4.5 h9ceee32_0

Thanks a lot!

I guess you may get out of the memory. Also, you may check your conda environment.

Best,

[LHJ97]

I listed the packages in my conda environment above. I am using Titan RTX 24Gb.