Closed thepaulm closed 5 years ago
Hi thepaulm,
We would highly recommend that you use the NGC pytorch docker images (as described here: https://github.com/NVIDIA/retinanet-examples#installation) to have a consistent set of libraries/versions that are known to work with the repo.
If you have issues installing when using the NGC pytorch docker image, feel free to reopen this issue.
Yes, thanks - I did try using the docker container also - there is some layer that requires authentication?
gpu:~$ docker pull nvcr.io/nvidia/pytorch:19.04-py3
19.04-py3: Pulling from nvidia/pytorch
34667c7e4631: Pull complete
d18d76a881a4: Pull complete
119c7358fbfc: Pull complete
2aaf13f3eff0: Pull complete
202fa0f8874b: Pull complete
3b700a61ede6: Pull complete
87e6ca450d3f: Pull complete
a1e76dce1aec: Pull complete
9b91fa2f9276: Pull complete
b5877a9add73: Pull complete
bab74df105f1: Pull complete
534bbf505504: Pull complete
4956bf3bbbb9: Pull complete
f4371944c97d: Pull complete
4615a735431d: Pull complete
5db2639932b5: Pull complete
629d5c9d75a4: Pull complete
8071b94b5429: Pull complete
6eb8eba2ad5a: Pull complete
e32e86c15b8b: Pull complete
08db5b51b243: Pull complete
f71ce95fb406: Pull complete
3498ed8c5685: Pull complete
62819d8896c1: Pull complete
34bc85bf8bef: Pull complete
dcdd5f85017f: Pull complete
1e228f756b55: Downloading [=======================================> ] 403.1MB/513MB
6c274a5c6ed9: Download complete
b612cb3eb549: Download complete
09bc2eb1d5a3: Download complete
3d155d839dec: Download complete
9f75ceb8178e: Download complete
ba33e14c75b6: Download complete
63bcc02f721d: Download complete
2ea18e2895f5: Download complete
e8902dd4ab2a: Download complete
400dcdc94e4e: Download complete
0297bfb11547: Downloading [=====> ] 38.3MB/357.2MB
fbe8a1f0debc: Download complete
138f27b0276a: Downloading
bbb8e519ffd2: Waiting
cec7301f8e2b: Waiting
b757202b46b5: Waiting
2d7d64ca32b6: Waiting
22eb1ebbe50f: Waiting
75c6afcffa7f: Waiting
e50a94f94c1f: Waiting
f2c418b39ad9: Waiting
7ff288d55581: Waiting
e8030d0b21df: Waiting
unauthorized: authentication required
@thepaulm you need to register on nvidia gpu cloud and Generate the API key, before you pull the container, you have to log in using API key. https://ngc.nvidia.com/setup
it is because the opencv library is not well linked. Please extend the library in setup.py as follows: libraries=['nvinfer', 'nvinfer_plugin', 'nvonnxparser', 'opencv_core', 'opencv_highgui', 'opencv_imgproc', 'opencv_imgcodecs'])
Added these libraries and still seeing the error:
Traceback (most recent call last):
File "/home/snow_ripple/workspace/020_retinanet_nvidia/retinanet/main.py", line 10, in
Anyone managed to fix this error?
Which opencv version I should use?
Make a clean build with this changes. For example remove the directory called build and
use python setup.py install
Hi @goktug97 !
I removed the build folder, added
libraries=['nvinfer', 'nvinfer_plugin', 'nvonnxparser', 'opencv_core', 'opencv_highgui', 'opencv_imgproc', 'opencv_imgcodecs'])
run the python setup.py clean --all install
(clean to make sure everything is removed) and got no errors:
`running clean
removing 'build/temp.linux-x86_64-3.7' (and everything under it)
removing 'build/lib.linux-x86_64-3.7' (and everything under it)
removing 'build/bdist.linux-x86_64' (and everything under it)
'build/scripts-3.7' does not exist -- can't clean it
removing 'build'
running install
running bdist_egg
running egg_info
writing retinanet.egg-info/PKG-INFO
writing dependency_links to retinanet.egg-info/dependency_links.txt
writing entry points to retinanet.egg-info/entry_points.txt
writing requirements to retinanet.egg-info/requires.txt
writing top-level names to retinanet.egg-info/top_level.txt
package init file 'retinanet/init.py' not found (or not a regular file)
reading manifest file 'retinanet.egg-info/SOURCES.txt'
writing manifest file 'retinanet.egg-info/SOURCES.txt'
installing library code to build/bdist.linux-x86_64/egg
running install_lib
running build_py
creating build
creating build/lib.linux-x86_64-3.7
creating build/lib.linux-x86_64-3.7/retinanet
copying retinanet/model_old.py -> build/lib.linux-x86_64-3.7/retinanet
copying retinanet/main.py -> build/lib.linux-x86_64-3.7/retinanet
copying retinanet/benchmark_yuval.py -> build/lib.linux-x86_64-3.7/retinanet
copying retinanet/infer.py -> build/lib.linux-x86_64-3.7/retinanet
copying retinanet/loss_old.py -> build/lib.linux-x86_64-3.7/retinanet
copying retinanet/loss.py -> build/lib.linux-x86_64-3.7/retinanet
copying retinanet/box.py -> build/lib.linux-x86_64-3.7/retinanet
copying retinanet/train.py -> build/lib.linux-x86_64-3.7/retinanet
copying retinanet/data.py -> build/lib.linux-x86_64-3.7/retinanet
copying retinanet/demo_camera.py -> build/lib.linux-x86_64-3.7/retinanet
copying retinanet/utils.py -> build/lib.linux-x86_64-3.7/retinanet
copying retinanet/visualize.py -> build/lib.linux-x86_64-3.7/retinanet
copying retinanet/evaluate.py -> build/lib.linux-x86_64-3.7/retinanet
copying retinanet/dali.py -> build/lib.linux-x86_64-3.7/retinanet
copying retinanet/model.py -> build/lib.linux-x86_64-3.7/retinanet
creating build/lib.linux-x86_64-3.7/retinanet/backbones
copying retinanet/backbones/resnet_old.py -> build/lib.linux-x86_64-3.7/retinanet/backbones
copying retinanet/backbones/resnet.py -> build/lib.linux-x86_64-3.7/retinanet/backbones
copying retinanet/backbones/utils.py -> build/lib.linux-x86_64-3.7/retinanet/backbones
copying retinanet/backbones/fpn.py -> build/lib.linux-x86_64-3.7/retinanet/backbones
copying retinanet/backbones/layers.py -> build/lib.linux-x86_64-3.7/retinanet/backbones
copying retinanet/backbones/init.py -> build/lib.linux-x86_64-3.7/retinanet/backbones
running build_ext
building 'retinanet._C' extension
creating build/temp.linux-x86_64-3.7
creating build/temp.linux-x86_64-3.7/csrc
creating build/temp.linux-x86_64-3.7/csrc/cuda
gcc -pthread -B /home/snow_ripple/anaconda3/envs/tensor_rt/compiler_compat -Wl,--sysroot=/ -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC -I/home/snow_ripple/anaconda3/envs/tensor_rt/lib/python3.7/site-packages/torch/include -I/home/snow_ripple/anaconda3/envs/tensor_rt/lib/python3.7/site-packages/torch/include/torch/csrc/api/include -I/home/snow_ripple/anaconda3/envs/tensor_rt/lib/python3.7/site-packages/torch/include/TH -I/home/snow_ripple/anaconda3/envs/tensor_rt/lib/python3.7/site-packages/torch/include/THC -I/usr/local/cuda/include -I/home/snow_ripple/anaconda3/envs/tensor_rt/include/python3.7m -c csrc/extensions.cpp -o build/temp.linux-x86_64-3.7/csrc/extensions.o -std=c++11 -O2 -Wall -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=_C -D_GLIBCXX_USE_CXX11_ABI=0
cc1plus: warning: command line option ‘-Wstrict-prototypes’ is valid for C/ObjC but not for C++
gcc -pthread -B /home/snow_ripple/anaconda3/envs/tensor_rt/compiler_compat -Wl,--sysroot=/ -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC -I/home/snow_ripple/anaconda3/envs/tensor_rt/lib/python3.7/site-packages/torch/include -I/home/snow_ripple/anaconda3/envs/tensor_rt/lib/python3.7/site-packages/torch/include/torch/csrc/api/include -I/home/snow_ripple/anaconda3/envs/tensor_rt/lib/python3.7/site-packages/torch/include/TH -I/home/snow_ripple/anaconda3/envs/tensor_rt/lib/python3.7/site-packages/torch/include/THC -I/usr/local/cuda/include -I/home/snow_ripple/anaconda3/envs/tensor_rt/include/python3.7m -c csrc/engine.cpp -o build/temp.linux-x86_64-3.7/csrc/engine.o -std=c++11 -O2 -Wall -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=_C -D_GLIBCXX_USE_CXX11_ABI=0
cc1plus: warning: command line option ‘-Wstrict-prototypes’ is valid for C/ObjC but not for C++
/usr/local/cuda/bin/nvcc -I/home/snow_ripple/anaconda3/envs/tensor_rt/lib/python3.7/site-packages/torch/include -I/home/snow_ripple/anaconda3/envs/tensor_rt/lib/python3.7/site-packages/torch/include/torch/csrc/api/include -I/home/snow_ripple/anaconda3/envs/tensor_rt/lib/python3.7/site-packages/torch/include/TH -I/home/snow_ripple/anaconda3/envs/tensor_rt/lib/python3.7/site-packages/torch/include/THC -I/usr/local/cuda/include -I/home/snow_ripple/anaconda3/envs/tensor_rt/include/python3.7m -c csrc/cuda/decode.cu -o build/temp.linux-x86_64-3.7/csrc/cuda/decode.o -DCUDA_NO_HALF_OPERATORS -DCUDA_NO_HALF_CONVERSIONS -DCUDA_NO_HALF2_OPERATORS --compiler-options '-fPIC' -std=c++11 --expt-extended-lambda --use_fast_math -Xcompiler -Wall -gencode=arch=compute_60,code=sm_60 -gencode=arch=compute_61,code=sm_61 -gencode=arch=compute_70,code=sm_70 -gencode=arch=compute_72,code=sm_72 -gencode=arch=compute_75,code=sm_75 -gencode=arch=compute_75,code=compute_75 -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=_C -D_GLIBCXX_USE_CXX11_ABI=0
/usr/local/cuda/bin/nvcc -I/home/snow_ripple/anaconda3/envs/tensor_rt/lib/python3.7/site-packages/torch/include -I/home/snow_ripple/anaconda3/envs/tensor_rt/lib/python3.7/site-packages/torch/include/torch/csrc/api/include -I/home/snow_ripple/anaconda3/envs/tensor_rt/lib/python3.7/site-packages/torch/include/TH -I/home/snow_ripple/anaconda3/envs/tensor_rt/lib/python3.7/site-packages/torch/include/THC -I/usr/local/cuda/include -I/home/snow_ripple/anaconda3/envs/tensor_rt/include/python3.7m -c csrc/cuda/nms.cu -o build/temp.linux-x86_64-3.7/csrc/cuda/nms.o -DCUDA_NO_HALF_OPERATORS -DCUDA_NO_HALF_CONVERSIONS -DCUDA_NO_HALF2_OPERATORS --compiler-options '-fPIC' -std=c++11 --expt-extended-lambda --use_fast_math -Xcompiler -Wall -gencode=arch=compute_60,code=sm_60 -gencode=arch=compute_61,code=sm_61 -gencode=arch=compute_70,code=sm_70 -gencode=arch=compute_72,code=sm_72 -gencode=arch=compute_75,code=sm_75 -gencode=arch=compute_75,code=compute_75 -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=_C -D_GLIBCXX_USE_CXX11_ABI=0
g++ -pthread -shared -B /home/snow_ripple/anaconda3/envs/tensor_rt/compiler_compat -L/home/snow_ripple/anaconda3/envs/tensor_rt/lib -Wl,-rpath=/home/snow_ripple/anaconda3/envs/tensor_rt/lib -Wl,--no-as-needed -Wl,--sysroot=/ build/temp.linux-x86_64-3.7/csrc/extensions.o build/temp.linux-x86_64-3.7/csrc/engine.o build/temp.linux-x86_64-3.7/csrc/cuda/decode.o build/temp.linux-x86_64-3.7/csrc/cuda/nms.o -L/usr/local/cuda/lib64 -lnvinfer -lnvinfer_plugin -lnvonnxparser -lopencv_core -lopencv_highgui -lopencv_imgproc -lopencv_imgcodecs -lcudart -o build/lib.linux-x86_64-3.7/retinanet/_C.so
creating build/bdist.linux-x86_64
creating build/bdist.linux-x86_64/egg
creating build/bdist.linux-x86_64/egg/retinanet
copying build/lib.linux-x86_64-3.7/retinanet/model_old.py -> build/bdist.linux-x86_64/egg/retinanet
copying build/lib.linux-x86_64-3.7/retinanet/main.py -> build/bdist.linux-x86_64/egg/retinanet
copying build/lib.linux-x86_64-3.7/retinanet/benchmark_yuval.py -> build/bdist.linux-x86_64/egg/retinanet
copying build/lib.linux-x86_64-3.7/retinanet/infer.py -> build/bdist.linux-x86_64/egg/retinanet
copying build/lib.linux-x86_64-3.7/retinanet/loss_old.py -> build/bdist.linux-x86_64/egg/retinanet
copying build/lib.linux-x86_64-3.7/retinanet/loss.py -> build/bdist.linux-x86_64/egg/retinanet
copying build/lib.linux-x86_64-3.7/retinanet/_C.so -> build/bdist.linux-x86_64/egg/retinanet
copying build/lib.linux-x86_64-3.7/retinanet/box.py -> build/bdist.linux-x86_64/egg/retinanet
creating build/bdist.linux-x86_64/egg/retinanet/backbones
copying build/lib.linux-x86_64-3.7/retinanet/backbones/resnet_old.py -> build/bdist.linux-x86_64/egg/retinanet/backbones
copying build/lib.linux-x86_64-3.7/retinanet/backbones/resnet.py -> build/bdist.linux-x86_64/egg/retinanet/backbones
copying build/lib.linux-x86_64-3.7/retinanet/backbones/utils.py -> build/bdist.linux-x86_64/egg/retinanet/backbones
copying build/lib.linux-x86_64-3.7/retinanet/backbones/fpn.py -> build/bdist.linux-x86_64/egg/retinanet/backbones
copying build/lib.linux-x86_64-3.7/retinanet/backbones/layers.py -> build/bdist.linux-x86_64/egg/retinanet/backbones
copying build/lib.linux-x86_64-3.7/retinanet/backbones/init.py -> build/bdist.linux-x86_64/egg/retinanet/backbones
copying build/lib.linux-x86_64-3.7/retinanet/train.py -> build/bdist.linux-x86_64/egg/retinanet
copying build/lib.linux-x86_64-3.7/retinanet/data.py -> build/bdist.linux-x86_64/egg/retinanet
copying build/lib.linux-x86_64-3.7/retinanet/demo_camera.py -> build/bdist.linux-x86_64/egg/retinanet
copying build/lib.linux-x86_64-3.7/retinanet/utils.py -> build/bdist.linux-x86_64/egg/retinanet
copying build/lib.linux-x86_64-3.7/retinanet/visualize.py -> build/bdist.linux-x86_64/egg/retinanet
copying build/lib.linux-x86_64-3.7/retinanet/evaluate.py -> build/bdist.linux-x86_64/egg/retinanet
copying build/lib.linux-x86_64-3.7/retinanet/dali.py -> build/bdist.linux-x86_64/egg/retinanet
copying build/lib.linux-x86_64-3.7/retinanet/model.py -> build/bdist.linux-x86_64/egg/retinanet
byte-compiling build/bdist.linux-x86_64/egg/retinanet/model_old.py to model_old.cpython-37.pyc
byte-compiling build/bdist.linux-x86_64/egg/retinanet/main.py to main.cpython-37.pyc
byte-compiling build/bdist.linux-x86_64/egg/retinanet/benchmark_yuval.py to benchmark_yuval.cpython-37.pyc
byte-compiling build/bdist.linux-x86_64/egg/retinanet/infer.py to infer.cpython-37.pyc
byte-compiling build/bdist.linux-x86_64/egg/retinanet/loss_old.py to loss_old.cpython-37.pyc
byte-compiling build/bdist.linux-x86_64/egg/retinanet/loss.py to loss.cpython-37.pyc
byte-compiling build/bdist.linux-x86_64/egg/retinanet/box.py to box.cpython-37.pyc
byte-compiling build/bdist.linux-x86_64/egg/retinanet/backbones/resnet_old.py to resnet_old.cpython-37.pyc
byte-compiling build/bdist.linux-x86_64/egg/retinanet/backbones/resnet.py to resnet.cpython-37.pyc
byte-compiling build/bdist.linux-x86_64/egg/retinanet/backbones/utils.py to utils.cpython-37.pyc
byte-compiling build/bdist.linux-x86_64/egg/retinanet/backbones/fpn.py to fpn.cpython-37.pyc
byte-compiling build/bdist.linux-x86_64/egg/retinanet/backbones/layers.py to layers.cpython-37.pyc
byte-compiling build/bdist.linux-x86_64/egg/retinanet/backbones/init.py to init.cpython-37.pyc
byte-compiling build/bdist.linux-x86_64/egg/retinanet/train.py to train.cpython-37.pyc
byte-compiling build/bdist.linux-x86_64/egg/retinanet/data.py to data.cpython-37.pyc
byte-compiling build/bdist.linux-x86_64/egg/retinanet/demo_camera.py to demo_camera.cpython-37.pyc
byte-compiling build/bdist.linux-x86_64/egg/retinanet/utils.py to utils.cpython-37.pyc
byte-compiling build/bdist.linux-x86_64/egg/retinanet/visualize.py to visualize.cpython-37.pyc
byte-compiling build/bdist.linux-x86_64/egg/retinanet/evaluate.py to evaluate.cpython-37.pyc
byte-compiling build/bdist.linux-x86_64/egg/retinanet/dali.py to dali.cpython-37.pyc
byte-compiling build/bdist.linux-x86_64/egg/retinanet/model.py to model.cpython-37.pyc
creating stub loader for retinanet/_C.so
byte-compiling build/bdist.linux-x86_64/egg/retinanet/_C.py to _C.cpython-37.pyc
creating build/bdist.linux-x86_64/egg/EGG-INFO
copying retinanet.egg-info/PKG-INFO -> build/bdist.linux-x86_64/egg/EGG-INFO
copying retinanet.egg-info/SOURCES.txt -> build/bdist.linux-x86_64/egg/EGG-INFO
copying retinanet.egg-info/dependency_links.txt -> build/bdist.linux-x86_64/egg/EGG-INFO
copying retinanet.egg-info/entry_points.txt -> build/bdist.linux-x86_64/egg/EGG-INFO
copying retinanet.egg-info/requires.txt -> build/bdist.linux-x86_64/egg/EGG-INFO
copying retinanet.egg-info/top_level.txt -> build/bdist.linux-x86_64/egg/EGG-INFO
writing build/bdist.linux-x86_64/egg/EGG-INFO/native_libs.txt
zip_safe flag not set; analyzing archive contents...
retinanet.pycache._C.cpython-37: module references file
creating 'dist/retinanet-0.1-py3.7-linux-x86_64.egg' and adding 'build/bdist.linux-x86_64/egg' to it
removing 'build/bdist.linux-x86_64/egg' (and everything under it)
Processing retinanet-0.1-py3.7-linux-x86_64.egg
removing '/home/snow_ripple/anaconda3/envs/tensor_rt/lib/python3.7/site-packages/retinanet-0.1-py3.7-linux-x86_64.egg' (and everything under it)
creating /home/snow_ripple/anaconda3/envs/tensor_rt/lib/python3.7/site-packages/retinanet-0.1-py3.7-linux-x86_64.egg
Extracting retinanet-0.1-py3.7-linux-x86_64.egg to /home/snow_ripple/anaconda3/envs/tensor_rt/lib/python3.7/site-packages
retinanet 0.1 is already the active version in easy-install.pth
Installing retinanet script to /home/snow_ripple/anaconda3/envs/tensor_rt/bin
Installed /home/snow_ripple/anaconda3/envs/tensor_rt/lib/python3.7/site-packages/retinanet-0.1-py3.7-linux-x86_64.egg Processing dependencies for retinanet==0.1 Searching for requests==2.22.0 Best match: requests 2.22.0 Adding requests 2.22.0 to easy-install.pth file
Using /home/snow_ripple/anaconda3/envs/tensor_rt/lib/python3.7/site-packages Searching for Pillow==6.1.0 Best match: Pillow 6.1.0 Adding Pillow 6.1.0 to easy-install.pth file
Using /home/snow_ripple/anaconda3/envs/tensor_rt/lib/python3.7/site-packages Searching for pycocotools==2.0.0 Best match: pycocotools 2.0.0 Adding pycocotools 2.0.0 to easy-install.pth file
Using /home/snow_ripple/anaconda3/envs/tensor_rt/lib/python3.7/site-packages Searching for apex==0.1 Best match: apex 0.1 Adding apex 0.1 to easy-install.pth file
Using /home/snow_ripple/anaconda3/envs/tensor_rt/lib/python3.7/site-packages Searching for torchvision==0.3.0 Best match: torchvision 0.3.0 Adding torchvision 0.3.0 to easy-install.pth file
Using /home/snow_ripple/anaconda3/envs/tensor_rt/lib/python3.7/site-packages Searching for torch==1.1.0 Best match: torch 1.1.0 Adding torch 1.1.0 to easy-install.pth file Installing convert-caffe2-to-onnx script to /home/snow_ripple/anaconda3/envs/tensor_rt/bin Installing convert-onnx-to-caffe2 script to /home/snow_ripple/anaconda3/envs/tensor_rt/bin
Using /home/snow_ripple/anaconda3/envs/tensor_rt/lib/python3.7/site-packages Searching for idna==2.8 Best match: idna 2.8 Adding idna 2.8 to easy-install.pth file
Using /home/snow_ripple/anaconda3/envs/tensor_rt/lib/python3.7/site-packages Searching for chardet==3.0.4 Best match: chardet 3.0.4 Adding chardet 3.0.4 to easy-install.pth file Installing chardetect script to /home/snow_ripple/anaconda3/envs/tensor_rt/bin
Using /home/snow_ripple/anaconda3/envs/tensor_rt/lib/python3.7/site-packages Searching for certifi==2019.6.16 Best match: certifi 2019.6.16 Adding certifi 2019.6.16 to easy-install.pth file
Using /home/snow_ripple/anaconda3/envs/tensor_rt/lib/python3.7/site-packages Searching for urllib3==1.25.3 Best match: urllib3 1.25.3 Adding urllib3 1.25.3 to easy-install.pth file
Using /home/snow_ripple/anaconda3/envs/tensor_rt/lib/python3.7/site-packages Searching for six==1.12.0 Best match: six 1.12.0 Adding six 1.12.0 to easy-install.pth file
Using /home/snow_ripple/anaconda3/envs/tensor_rt/lib/python3.7/site-packages Searching for numpy==1.16.4 Best match: numpy 1.16.4 Adding numpy 1.16.4 to easy-install.pth file Installing f2py script to /home/snow_ripple/anaconda3/envs/tensor_rt/bin Installing f2py3 script to /home/snow_ripple/anaconda3/envs/tensor_rt/bin Installing f2py3.7 script to /home/snow_ripple/anaconda3/envs/tensor_rt/bin
Using /home/snow_ripple/anaconda3/envs/tensor_rt/lib/python3.7/site-packages Finished processing dependencies for retinanet==0.1 ` But I am still seeing this error when ,e.g. exporting to tensoRT:
Traceback (most recent call last): File "/home/snow_ripple/workspace/020_retinanet_nvidia/retinanet/main.py", line 10, in <module> from retinanet import infer, train, utils File "/home/snow_ripple/workspace/020_retinanet_nvidia/retinanet/infer.py", line 15, in <module> from model import Model File "/home/snow_ripple/workspace/020_retinanet_nvidia/retinanet/model.py", line 9, in <module> from box import generate_anchors, snap_to_anchors, decode, nms File "/home/snow_ripple/workspace/020_retinanet_nvidia/retinanet/box.py", line 2, in <module> from _C import decode as decode_cuda ImportError: /home/snow_ripple/workspace/020_retinanet_nvidia/retinanet/_C.so: undefined symbol: _ZN2cv8fastFreeEPv
Maybe It can't find them, check with pkg-config whether It can't find them or not
pkg-config --cflags opencv
pkg-config --libs opencv
That's the output I'm getting:
`(tensor_rt) snow_ripple@sapphira:~$ pkg-config --cflags opencv
-I/usr/local/include/opencv -I/usr/local/include
(tensor_rt) snow_ripple@sapphira:~$ pkg-config --libs opencv
-L/usr/local/lib -lopencv_cudabgsegm -lopencv_cudaobjdetect -lopencv_cudastereo -lopencv_dnn -lopencv_ml -lopencv_shape -lopencv_stitching -lopencv_cudafeatures2d -lopencv_superres -lopencv_cudacodec -lopencv_videostab -lopencv_cudaoptflow -lopencv_cudalegacy -lopencv_calib3d -lopencv_features2d -lopencv_highgui -lopencv_videoio -lopencv_photo -lopencv_imgcodecs -lopencv_cudawarping -lopencv_cudaimgproc -lopencv_cudafilters -lopencv_video -lopencv_objdetect -lopencv_imgproc -lopencv_flann -lopencv_cudaarithm -lopencv_core -lopencv_cudev`
Are you using conda/some environment too? Which version of opencv do you have?
Are you using conda/some environment too?
No environment. System Python 3.6
Which version of opencv do you have?
sudo apt install libopencv-dev python3-opencv
It seems can not link opencv when building _C.so from source file circa By adding: library_dirs= '/usr/local/lib64/'], libraries=['nvinfer', 'nvinfer_plugin', 'nvonnxparser', 'opencv_core', 'opencv_imgproc', 'opencv_highgui'])
That solve my problem, hope it works for you
1. libraries=['nvinfer', 'nvinfer_plugin', 'nvonnxparser', 'opencv_core', 'opencv_imgproc', 'opencv_highgui'])
pkg-config --cflags opencv-I/usr/include/opencv4/opencv -I/usr/include/opencv4
pkg-config --libs opencv-lopencv_dnn -lopencv_gapi -lopencv_highgui -lopencv_ml -lopencv_objdetect -lopencv_photo -lopencv_stitching -lopencv_video -lopencv_calib3d -lopencv_features2d -lopencv_flann -lopencv_videoio -lopencv_imgcodecs -lopencv_imgproc -lopencv_core
3 python setup.py clean --all install is success
4 retinanet export -h
Traceback (most recent call last):
File "/home/anaconda3/envs/py374/bin/retinanet", line 11, in
@
Are you using conda/some environment too?
No environment. System Python 3.6
Which version of opencv do you have?
sudo apt install libopencv-dev python3-opencv
how you install pytorch if you not use conda
https://stackoverflow.com/questions/51308292/swig-linker-undefined-symbol-zn2cv8fastfreeepv-cvfastfreevoid
You have to pass libraries and library-paths to the build-process
by using arguments libraries
and library_dirs
ext = Extension(....
libraries=["opencv_xfeatures2d", "opencv_features2d",
"opencv_highgui", "opencv_core"],
library_dirs=['/usr/local/lib']
)
Hi! I cloned, the ran
python setup.py develop
, and now when I runretinanet
I get the following undefined symbol:Perhaps I have mismatched versions of some dep? Here's what I'm linked against:
Any ideas or help greatly appreciated.