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Xharlie / DISN

(latest updates and bug fixed) DISN: Deep Implicit Surface Network for High-quality Single-view 3D Reconstruction
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Could you please provide a detailed requirements.txt #2

Closed BrandoZhang closed 5 years ago

BrandoZhang commented 5 years ago

It can be easily exported via pip freeze > requirements.txt if you are using virtual environment.

I get stuck in linking to some dynamic libraries. It seems that I miss some dependencies.

The following is the result I get from pip freeze > requirements.txt:

bsl-py==0.8.0
astor==0.8.0
backcall==0.1.0
certifi==2019.9.11
decorator==4.4.0
gast==0.3.2
grpcio==1.16.1
h5py==2.8.0
ipykernel==5.1.2
ipython==7.8.0
ipython-genutils==0.2.0
jedi==0.15.1
joblib==0.13.2
jupyter-client==5.3.3
jupyter-core==4.5.0
Markdown==3.1.1
mkl-fft==1.0.14
mkl-random==1.1.0
mkl-service==2.3.0
networkx==2.3
nose==1.3.7
numpy==1.16.5
parso==0.5.1
pexpect==4.7.0
pickleshare==0.7.5
prompt-toolkit==2.0.9
protobuf==3.9.2
ptyprocess==0.6.0
Pygments==2.4.2
pymesh==1.0.2
pymesh2==0.2.1
python-dateutil==2.8.0
pyzmq==18.1.0
scipy==1.3.1
six==1.12.0
tensorboard==1.10.0
tensorflow==1.10.0
termcolor==1.1.0
tornado==6.0.3
traitlets==4.3.2
trimesh==2.37.20
wcwidth==0.1.7
Werkzeug==0.16.0

Besides these, I build PyMesh from source code and conda install -c menpo opencv.

Xharlie commented 5 years ago

Well this is what the command gave me: absl-py==0.7.1 astor==0.8.0 certifi==2019.6.16 cmake==3.14.4 cycler==0.10.0 decorator==4.4.0 future-fstrings==1.2.0 gast==0.2.2 grpcio==1.16.1 h5py==2.9.0 joblib==0.13.2 kiwisolver==1.1.0 Markdown==3.1.1 matplotlib==3.1.1 mkl-fft==1.0.14 mkl-random==1.1.0 mkl-service==2.3.0 networkx==2.3 numpy==1.16.4 opencv-python==4.1.1.26 protobuf==3.8.0 pymesh2==0.2.1 pyparsing==2.4.2 python-dateutil==2.8.0 scipy==1.3.1 six==1.12.0 style==1.1.0 tensorboard==1.10.0 tensorflow==1.10.0 termcolor==1.1.0 tornado==6.0.3 trimesh==2.37.20 update==0.0.1 Werkzeug==0.15.5

Can you please install whatever the exception indicated. for example, if it shows no joblib, just install joblib. Also google whatever dynamic library that is incorrectly linked. Add them to your LIB PATH or some environment variables. By doing this, I have never fail to execute any script from internet unless the operating system has some limitations.

gokceay commented 6 months ago

It can be easily exported via pip freeze > requirements.txt if you are using virtual environment.

I get stuck in linking to some dynamic libraries. It seems that I miss some dependencies.

The following is the result I get from pip freeze > requirements.txt:

bsl-py==0.8.0
astor==0.8.0
backcall==0.1.0
certifi==2019.9.11
decorator==4.4.0
gast==0.3.2
grpcio==1.16.1
h5py==2.8.0
ipykernel==5.1.2
ipython==7.8.0
ipython-genutils==0.2.0
jedi==0.15.1
joblib==0.13.2
jupyter-client==5.3.3
jupyter-core==4.5.0
Markdown==3.1.1
mkl-fft==1.0.14
mkl-random==1.1.0
mkl-service==2.3.0
networkx==2.3
nose==1.3.7
numpy==1.16.5
parso==0.5.1
pexpect==4.7.0
pickleshare==0.7.5
prompt-toolkit==2.0.9
protobuf==3.9.2
ptyprocess==0.6.0
Pygments==2.4.2
pymesh==1.0.2
pymesh2==0.2.1
python-dateutil==2.8.0
pyzmq==18.1.0
scipy==1.3.1
six==1.12.0
tensorboard==1.10.0
tensorflow==1.10.0
termcolor==1.1.0
tornado==6.0.3
traitlets==4.3.2
trimesh==2.37.20
wcwidth==0.1.7
Werkzeug==0.16.0

Besides these, I build PyMesh from source code and conda install -c menpo opencv.

Hi Brando, I am having issues building pymesh from source, it strangely gives libtbb.so problem. How did you install from the source? Could you share it with me? Thanks in advance

BrandoZhang commented 6 months ago

It can be easily exported via pip freeze > requirements.txt if you are using virtual environment. I get stuck in linking to some dynamic libraries. It seems that I miss some dependencies. The following is the result I get from pip freeze > requirements.txt:

bsl-py==0.8.0
astor==0.8.0
backcall==0.1.0
certifi==2019.9.11
decorator==4.4.0
gast==0.3.2
grpcio==1.16.1
h5py==2.8.0
ipykernel==5.1.2
ipython==7.8.0
ipython-genutils==0.2.0
jedi==0.15.1
joblib==0.13.2
jupyter-client==5.3.3
jupyter-core==4.5.0
Markdown==3.1.1
mkl-fft==1.0.14
mkl-random==1.1.0
mkl-service==2.3.0
networkx==2.3
nose==1.3.7
numpy==1.16.5
parso==0.5.1
pexpect==4.7.0
pickleshare==0.7.5
prompt-toolkit==2.0.9
protobuf==3.9.2
ptyprocess==0.6.0
Pygments==2.4.2
pymesh==1.0.2
pymesh2==0.2.1
python-dateutil==2.8.0
pyzmq==18.1.0
scipy==1.3.1
six==1.12.0
tensorboard==1.10.0
tensorflow==1.10.0
termcolor==1.1.0
tornado==6.0.3
traitlets==4.3.2
trimesh==2.37.20
wcwidth==0.1.7
Werkzeug==0.16.0

Besides these, I build PyMesh from source code and conda install -c menpo opencv.

Hi Brando, I am having issues building pymesh from source, it strangely gives libtbb.so problem. How did you install from the source? Could you share it with me? Thanks in advance

Hi Gokce, I just followed the PyMesh README to build from source. I noticed that PyMesh hasn't updated for 4 years, which may have some broken dependencies. Hope this helps.

gokceay commented 6 months ago

It can be easily exported via pip freeze > requirements.txt if you are using virtual environment. I get stuck in linking to some dynamic libraries. It seems that I miss some dependencies. The following is the result I get from pip freeze > requirements.txt:

bsl-py==0.8.0
astor==0.8.0
backcall==0.1.0
certifi==2019.9.11
decorator==4.4.0
gast==0.3.2
grpcio==1.16.1
h5py==2.8.0
ipykernel==5.1.2
ipython==7.8.0
ipython-genutils==0.2.0
jedi==0.15.1
joblib==0.13.2
jupyter-client==5.3.3
jupyter-core==4.5.0
Markdown==3.1.1
mkl-fft==1.0.14
mkl-random==1.1.0
mkl-service==2.3.0
networkx==2.3
nose==1.3.7
numpy==1.16.5
parso==0.5.1
pexpect==4.7.0
pickleshare==0.7.5
prompt-toolkit==2.0.9
protobuf==3.9.2
ptyprocess==0.6.0
Pygments==2.4.2
pymesh==1.0.2
pymesh2==0.2.1
python-dateutil==2.8.0
pyzmq==18.1.0
scipy==1.3.1
six==1.12.0
tensorboard==1.10.0
tensorflow==1.10.0
termcolor==1.1.0
tornado==6.0.3
traitlets==4.3.2
trimesh==2.37.20
wcwidth==0.1.7
Werkzeug==0.16.0

Besides these, I build PyMesh from source code and conda install -c menpo opencv.

Hi Brando, I am having issues building pymesh from source, it strangely gives libtbb.so problem. How did you install from the source? Could you share it with me? Thanks in advance

Hi Gokce, I just followed the PyMesh README to build from source. I noticed that PyMesh hasn't updated for 4 years, which may have some broken dependencies. Hope this helps.

thanks a lot for your quick response, I will try from the link you shared