ghost
ghost copied to clipboard
ai-forever
Stuck at Load Models
Stuck at: input mean and std: 127.5 127.5 find model: ./insightface_func/models\antelope\glintr100.onnx recognition find model: ./insightface_func/models\antelope\scrfd_10g_bnkps.onnx detection set det-size: (640, 640) loading ./coordinate_reg/model/2d106det 0 input mean and std: 127.5 127.5 find model: ./insightface_func/models\antelope\glintr100.onnx recognition find model: ./insightface_func/models\antelope\scrfd_10g_bnkps.onnx detection set det-size: (640, 640)
Tried both the inference.py and SberSwapInference.ipynb
I am on a windows machine with RTX 3070 ti
packages in environment
backcall 0.2.0 pyh9f0ad1d_0 conda-forge backports 1.0 py_2 conda-forge backports.functools_lru_cache 1.6.4 pyhd8ed1ab_0 conda-forge blas 1.0 mkl brotlipy 0.7.0 py37h2bbff1b_1003 ca-certificates 2021.10.8 h5b45459_0 conda-forge certifi 2021.10.8 py37h03978a9_2 conda-forge cffi 1.15.0 py37h2bbff1b_1 chardet 3.0.4 pypi_0 pypi charset-normalizer 2.0.12 pypi_0 pypi click 8.1.2 pypi_0 pypi colorama 0.4.4 pyh9f0ad1d_0 conda-forge cryptography 36.0.0 py37h21b164f_0 cudatoolkit 11.3.1 h59b6b97_2 cycler 0.11.0 pypi_0 pypi debugpy 1.5.1 py37hf2a7229_0 conda-forge decorator 5.1.1 pyhd8ed1ab_0 conda-forge dill 0.3.4 pypi_0 pypi distro 1.7.0 pypi_0 pypi docker-pycreds 0.4.0 pypi_0 pypi easydict 1.9 pypi_0 pypi eigen 3.3.7 h59b6b97_1 entrypoints 0.4 pyhd8ed1ab_0 conda-forge flatbuffers 2.0 pypi_0 pypi freetype 2.10.4 hd328e21_0 future 0.18.2 pypi_0 pypi git 2.34.1 haa95532_0 gitdb 4.0.9 pypi_0 pypi gitpython 3.1.27 pypi_0 pypi glib 2.69.1 h5dc1a3c_1 gst-plugins-base 1.18.5 h9e645db_0 gstreamer 1.18.5 hd78058f_0 hdf5 1.10.6 h7ebc959_0 icc_rt 2019.0.0 h0cc432a_1 icu 58.2 ha925a31_3 idna 2.6 pypi_0 pypi imageio 2.15.0 pypi_0 pypi importlib-metadata 4.11.3 pypi_0 pypi insightface 0.2.1 pypi_0 pypi intel-openmp 2021.4.0 haa95532_3556 ipykernel 6.12.1 py37h90c5f73_0 conda-forge ipython 7.32.0 py37h03978a9_0 conda-forge jedi 0.18.1 py37h03978a9_1 conda-forge joblib 1.1.0 pypi_0 pypi jpeg 9d h2bbff1b_0 jupyter_client 7.2.2 pyhd8ed1ab_1 conda-forge jupyter_core 4.9.2 py37h03978a9_0 conda-forge kiwisolver 1.4.2 pypi_0 pypi kornia 0.5.4 pypi_0 pypi libffi 3.4.2 h604cdb4_1 libiconv 1.15 h1df5818_7 libogg 1.3.5 h2bbff1b_1 libpng 1.6.37 h2a8f88b_0 libprotobuf 3.5.1 he0781b1_0 libsodium 1.0.18 h8d14728_1 conda-forge libtiff 4.2.0 hd0e1b90_0 libuv 1.40.0 he774522_0 libvorbis 1.3.7 he774522_0 libwebp 1.2.2 h2bbff1b_0 libwebp-base 1.2.2 h2bbff1b_0 lz4-c 1.9.3 h2bbff1b_1 matplotlib 3.4.3 pypi_0 pypi matplotlib-inline 0.1.3 pyhd8ed1ab_0 conda-forge mkl 2021.4.0 haa95532_640 mkl-service 2.4.0 py37h2bbff1b_0 mkl_fft 1.3.1 py37h277e83a_0 mkl_random 1.2.2 py37hf11a4ad_0 mxnet-cu101 1.5.0 pypi_0 pypi mxnet-cu101mkl 1.5.0 pypi_0 pypi nest-asyncio 1.5.5 pyhd8ed1ab_0 conda-forge networkx 2.6.3 pypi_0 pypi numpy 1.21.5 pypi_0 pypi onnx 1.9.0 pypi_0 pypi onnxruntime 1.9.0 pypi_0 pypi onnxruntime-gpu 1.11.0 pypi_0 pypi opencv 4.5.4 py37h22b9916_3 opencv-python 4.5.5.64 pypi_0 pypi openssl 1.1.1n h8ffe710_0 conda-forge packaging 21.3 pyhd8ed1ab_0 conda-forge parso 0.8.3 pyhd8ed1ab_0 conda-forge pathtools 0.1.2 pypi_0 pypi pcre 8.45 hd77b12b_0 pickleshare 0.7.5 py_1003 conda-forge pillow 9.1.0 pypi_0 pypi pip 21.2.4 py37haa95532_0 promise 2.3 pypi_0 pypi prompt-toolkit 3.0.29 pyha770c72_0 conda-forge protobuf 3.20.0 pypi_0 pypi psutil 5.9.0 py37hcc03f2d_1 conda-forge pycparser 2.21 pyhd3eb1b0_0 pygments 2.11.2 pyhd8ed1ab_0 conda-forge pyopenssl 22.0.0 pyhd3eb1b0_0 pyparsing 3.0.7 pyhd8ed1ab_0 conda-forge pysocks 1.7.1 py37_1 python 3.7.13 h6244533_0 python-dateutil 2.8.2 pyhd8ed1ab_0 conda-forge python-graphviz 0.8.4 pypi_0 pypi python_abi 3.7 2_cp37m conda-forge pytorch-mutex 1.0 cuda pytorch pywavelets 1.1.1 pypi_0 pypi pywin32 303 py37hcc03f2d_0 conda-forge pyyaml 6.0 pypi_0 pypi pyzmq 22.3.0 py37hcce574b_2 conda-forge qt 5.9.7 vc14h73c81de_0 requests 2.18.4 pypi_0 pypi scikit-build 0.14.1 pypi_0 pypi scikit-image 0.18.3 pypi_0 pypi scikit-learn 1.0.2 pypi_0 pypi scipy 1.7.3 pypi_0 pypi sentry-sdk 1.5.8 pypi_0 pypi setproctitle 1.2.2 pypi_0 pypi setuptools 58.0.4 py37haa95532_0 shortuuid 1.0.8 pypi_0 pypi six 1.16.0 pyhd3eb1b0_1 smmap 5.0.0 pypi_0 pypi sqlite 3.38.2 h2bbff1b_0 threadpoolctl 3.1.0 pypi_0 pypi tifffile 2021.11.2 pypi_0 pypi tk 8.6.11 h2bbff1b_0 torch 1.8.1+cu111 pypi_0 pypi torchaudio 0.11.0 py37_cu113 pytorch torchvision 0.9.1+cu111 pypi_0 pypi tornado 6.1 py37hcc03f2d_3 conda-forge tqdm 4.64.0 pypi_0 pypi traitlets 5.1.1 pyhd8ed1ab_0 conda-forge typing_extensions 4.1.1 pyh06a4308_0 urllib3 1.22 pypi_0 pypi vc 14.2 h21ff451_1 vs2015_runtime 14.27.29016 h5e58377_2 wandb 0.12.14 pypi_0 pypi wcwidth 0.2.5 pyh9f0ad1d_2 conda-forge wheel 0.37.1 pyhd3eb1b0_0 win_inet_pton 1.1.0 py37haa95532_0 wincertstore 0.2 py37haa95532_2 xz 5.2.5 h62dcd97_0 zeromq 4.3.4 h0e60522_1 conda-forge zipp 3.8.0 pypi_0 pypi zlib 1.2.11 hbd8134f_5 zstd 1.4.9 h19a0ad4_0
Stuck at: input mean and std: 127.5 127.5 find model: ./insightface_func/models\antelope\glintr100.onnx recognition find model: ./insightface_func/models\antelope\scrfd_10g_bnkps.onnx detection set det-size: (640, 640) loading ./coordinate_reg/model/2d106det 0 input mean and std: 127.5 127.5 find model: ./insightface_func/models\antelope\glintr100.onnx recognition find model: ./insightface_func/models\antelope\scrfd_10g_bnkps.onnx detection set det-size: (640, 640)
Tried both the inference.py and SberSwapInference.ipynb
I am on a windows machine with RTX 3070 ti
I was able to compile mxnet-1.9.0 with CUDA 11.4 (CUDNN v8.2.4.15) and able to install and make it work in Windows 11 system with AMD Ryzen 9 processor. Graphics card is RTX 3070 Ti.
Attached is the mxnet-1.9.0 windows wheel zip file which needs to be installed with command pip install mxnet-1.9.0-py3-none-any.whl after unzipping.
mxnet-1.9.0 was built just for CUDA Architecture 8.6 (Ampere).
Conda Environment: Python 3.7
Installed cudatoolkit with conda install -c conda-forge cudatoolkit=11.4 Installed cudnn with conda install -c conda-forge cudnn=8.2 Installed torch with pip install torch==1.8.0+cu111 -f https://download.pytorch.org/whl/torch_stable.html Installed torchvision with pip install torchvision==0.9.0+cu111 -f https://download.pytorch.org/whl/torch_stable.html Installed onnx with pip install onnx==1.9.0 Installed onnxruntime-gpu with pip install onnxruntime-gpu==1.8.0 Installed kornia with pip install kornia==0.5.4
mxnet-1.9.0-py3-none-any.whl.zip
