About the CAFR dataset.

[ysc703]

Hi, Zhao
Thanks for your amazing work! And will the CAFR dataset be released soon?

Thanks!

[khawar-islam]

Have you re trained the model using UTKFace? I tried to re-train it but my GPU is not worked especially in this code but worked fine any other codes.

[keivanB]

I have trained on both UTKFACE and CACD. it worked fine. Will the CAFR be released?

[khawar-islam]

Hi, could you please give me the model? or tell me the details about the TensorFlow version so that I will train it, please

[keivanB]

sorry, I am part of a lab and cant share the model without my supervisor's consent. I had to change a lot of details to make it work. I might be able to share the model after my paper is published.

[khawar-islam]

@keivanB No problem. At least tell me the libraries version so that i can configure it because there is some issue with training.

[keivanB]

sure, hope it helps. I realized that this is a problem that many other researchers are facing as well. We are training and evaluating this model on large-scale datasets and I will publicly share the trained models (around June 2021). Hopefully, that will help others.

note that not all of these are necessary for this repo. however, I can't really filter it at this point.

name: Face
channels:

• anaconda
• conda-forge
• defaults
  dependencies:
• _libgcc_mutex=0.1=main
• _tflow_select=2.1.0=gpu
• absl-py=0.9.0=py36_0
• astor=0.8.0=py36_0
• attrs=19.3.0=py_0
• backcall=0.1.0=py36_0
• blas=1.0=mkl
• bleach=3.1.4=py_0
• bzip2=1.0.8=h7b6447c_0
• c-ares=1.15.0=h7b6447c_1001
• ca-certificates=2021.1.19=h06a4308_0
• cairo=1.14.12=h8948797_3
• certifi=2020.12.5=py36h06a4308_0
• cloudpickle=1.3.0=py_0
• cudatoolkit=10.1.243=h6bb024c_0
• cudnn=7.6.5=cuda10.1_0
• cupti=10.1.168=0
• cycler=0.10.0=py36_0
• cytoolz=0.10.1=py36h7b6447c_0
• dask-core=2.15.0=py_0
• dbus=1.13.12=h746ee38_0
• decorator=4.4.2=py_0
• defusedxml=0.6.0=py_0
• dill=0.3.1.1=py36_0
• dlib=19.19=py36h5245418_1
• entrypoints=0.3=py36_0
• et_xmlfile=1.0.1=py_1001
• expat=2.2.6=he6710b0_0
• ffmpeg=4.0=hcdf2ecd_0
• fontconfig=2.13.0=h9420a91_0
• freeglut=3.0.0=hf484d3e_5
• freetype=2.9.1=h8a8886c_1
• gast=0.3.3=py_0
• glib=2.56.2=hd408876_0
• gmp=6.1.2=hb3b607b_0
• google-pasta=0.2.0=py_0
• graphite2=1.3.13=h23475e2_0
• grpcio=1.27.2=py36hf8bcb03_0
• gst-plugins-base=1.14.0=hbbd80ab_1
• gstreamer=1.14.0=hb453b48_1
• h5py=2.8.0=py36h989c5e5_3
• harfbuzz=1.8.8=hffaf4a1_0
• hdf5=1.10.2=hba1933b_1
• icu=58.2=h211956c_0
• imageio=2.8.0=py_0
• importlib_metadata=1.5.0=py36_0
• intel-openmp=2020.0=166
• ipykernel=5.1.4=py36h39e3cac_0
• ipython=7.13.0=py36h5ca1d4c_0
• ipython_genutils=0.2.0=py36_0
• ipywidgets=7.5.1=py_0
• jasper=2.0.14=h07fcdf6_1
• jdcal=1.4.1=py_0
• jedi=0.16.0=py36_1
• jinja2=2.11.1=py_0
• joblib=0.14.1=py_0
• jpeg=9c=h14c3975_1001
• jsonschema=3.2.0=py36_0
• jupyter=1.0.0=py36_7
• jupyter_client=6.1.2=py_0
• jupyter_console=6.1.0=py_0
• jupyter_core=4.6.3=py36_0
• keras-applications=1.0.8=py_0
• keras-base=2.2.4=py36_0
• keras-gpu=2.2.4=0
• keras-preprocessing=1.1.0=py_1
• kiwisolver=1.1.0=py36he6710b0_0
• libblas=3.8.0=14_mkl
• libcblas=3.8.0=14_mkl
• libedit=3.1.20181209=hc058e9b_0
• libffi=3.2.1=hd88cf55_4
• libgcc-ng=9.1.0=hdf63c60_0
• libgfortran-ng=7.3.0=hdf63c60_0
• libglu=9.0.0=hf484d3e_1
• liblapack=3.8.0=14_mkl
• libopencv=3.4.2=hb342d67_1
• libopus=1.3.1=h7b6447c_0
• libpng=1.6.37=hbc83047_0
• libprotobuf=3.11.4=hd408876_0
• libsodium=1.0.16=h1bed415_0
• libstdcxx-ng=9.1.0=hdf63c60_0
• libtiff=4.1.0=h2733197_0
• libuuid=1.0.3=h1bed415_2
• libvpx=1.7.0=h439df22_0
• libxcb=1.13=h1bed415_1
• libxml2=2.9.9=hea5a465_1
• markdown=3.1.1=py36_0
• markupsafe=1.1.1=py36h7b6447c_0
• matplotlib=3.1.3=py36_0
• matplotlib-base=3.1.3=py36hef1b27d_0
• mistune=0.8.4=py36h7b6447c_0
• mkl=2019.4=243
• mkl-service=2.3.0=py36he904b0f_0
• mkl_fft=1.0.15=py36ha843d7b_0
• mkl_random=1.1.0=py36hd6b4f25_0
• nb_conda=2.2.1=py36_0
• nb_conda_kernels=2.3.1=py36h06a4308_0
• nbconvert=5.6.1=py36_0
• nbformat=5.0.4=py_0
• ncurses=6.2=he6710b0_1
• networkx=2.4=py_0
• notebook=6.0.3=py36_0
• numpy=1.18.1=py36h4f9e942_0
• numpy-base=1.18.1=py36hde5b4d6_1
• olefile=0.46=py36_0
• openpyxl=3.0.5=py_0
• openssl=1.1.1j=h27cfd23_0
• pandas=1.1.3=py36he6710b0_0
• pandoc=2.2.3.2=0
• pandocfilters=1.4.2=py36_1
• parso=0.6.2=py_0
• patsy=0.5.1=py36_0
• pcre=8.43=he6710b0_0
• pexpect=4.8.0=py36_0
• pickleshare=0.7.5=py36_0
• pillow=7.0.0=py36hb39fc2d_0
• pip=20.0.2=py36_1
• pixman=0.38.0=h7b6447c_0
• prometheus_client=0.7.1=py_0
• prompt-toolkit=3.0.4=py_0
• prompt_toolkit=3.0.4=0
• protobuf=3.11.4=py36he6710b0_0
• ptyprocess=0.6.0=py36_0
• py-opencv=3.4.2=py36hb342d67_1
• pygments=2.6.1=py_0
• pyparsing=2.4.6=py_0
• pyqt=5.9.2=py36h22d08a2_1
• pyrsistent=0.16.0=py36h7b6447c_0
• python=3.6.8=h0371630_0
• python-dateutil=2.8.1=py_0
• python_abi=3.6=1_cp36m
• pytz=2019.3=py_0
• pywavelets=1.1.1=py36h7b6447c_0
• pyyaml=5.3.1=py36h7b6447c_0
• pyzmq=18.1.1=py36he6710b0_0
• qt=5.9.7=h5867ecd_1
• qtconsole=4.7.3=py_0
• qtpy=1.9.0=py_0
• readline=7.0=h7b6447c_5
• scikit-image=0.16.2=py36h0573a6f_0
• scikit-learn=0.22.1=py36hd81dba3_0
• scipy=1.4.1=py36h0b6359f_0
• seaborn=0.11.0=py_0
• send2trash=1.5.0=py36_0
• setuptools=46.1.3=py36_0
• sip=4.19.13=py36he6710b0_0
• six=1.14.0=py36_0
• sqlite=3.31.1=h62c20be_1
• statsmodels=0.12.0=py36h7b6447c_0
• tensorboard=1.14.0=py36hf484d3e_0
• tensorflow=1.14.0=gpu_py36h3fb9ad6_0
• tensorflow-base=1.14.0=gpu_py36he45bfe2_0
• tensorflow-estimator=1.14.0=py_0
• tensorflow-gpu=1.14.0=h0d30ee6_0
• termcolor=1.1.0=py36_1
• terminado=0.8.3=py36_0
• testpath=0.4.4=py_0
• tk=8.6.8=hbc83047_0
• toolz=0.10.0=py_0
• tornado=6.0.4=py36h7b6447c_1
• traitlets=4.3.3=py36_0
• wcwidth=0.1.9=py_0
• webencodings=0.5.1=py36_1
• werkzeug=1.0.1=py_0
• wheel=0.34.2=py36_0
• widgetsnbextension=3.5.1=py36_0
• wrapt=1.12.1=py36h7b6447c_1
• xlrd=1.2.0=py36_0
• xz=5.2.5=h7b6447c_0
• yaml=0.1.7=h96e3832_1
• zeromq=4.3.1=he6710b0_3
• zipp=2.2.0=py_0
• zlib=1.2.11=h7b6447c_3
• zstd=1.3.7=h0b5b093_0
• pip:
  • augmentor==0.2.8
    prefix: /home/keivan/anaconda3/envs/Face

[ahmedelkhatib7]

sorry, I am part of a lab and cant share the model without my supervisor's consent. I had to change a lot of details to make it work. I might be able to share the model after my paper is published.

Hello Brother,

I trained the model but, I'm not able to test it. Can you please provide me with the steps needed to test the model? I'm using this model for my graduation project so, your response will really help me out.