Comments (21)
madhawav
commented on August 28, 2024
2
- I have made a branch which removes OpenCV dependency. Can you try out the code in that branch?-
- Can I know the version of Fedora you use?
- Also, have you made any progress following what @abossenbroek said.
Thanks
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abossenbroek
commented on August 28, 2024
1
Based on the ld error your LD_LIBRARY_PATH variable seems not to point to a location where opencv is installed. How did you install opencv?
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madhawav
commented on August 28, 2024
1
@justinas-kazanavicius
gcc: error: : No such file or directory seems kind of strange. Usually these kind of gcc errors are reported in the format gcc:error:[file_name]:No such file or directory. But in your case, the results suggests that gcc is looking for a file with a [space] name.
I will look further into this and get back to you.
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madhawav
commented on August 28, 2024
1
@justinas-kazanavicius
Time readings taken on webcam_test.py. (Time readings are taken in milliseconds)
Master Branch
('Internal Time:', 0.08028554916381836, ':', 0.06916772574186325)
Total Time: 0.08295273780822754 : 0.07138648479168823
Efficiency: 0.9689190600111561
('Internal Time:', 0.06472063064575195, ':', 0.06827830523252487)
Total Time: 0.06650710105895996 : 0.07041060804514258
Efficiency: 0.9697161710171481
('Internal Time:', 0.06425833702087402, ':', 0.06747431308031082)
Total Time: 0.06623339653015137 : 0.06957516574214434
Efficiency: 0.969804561161671
direct-numpy-to-darknet-image-conversion Branch
('Internal Time:', 0.06983137130737305, ':', 0.06395943462848663)
Total Time: 0.07549619674682617 : 0.0697771673644012
Efficiency: 0.9166241199570011
('Internal Time:', 0.062108755111694336, ':', 0.06358929723501205)
Total Time: 0.06771492958068848 : 0.06936471980765867
Efficiency: 0.9167383276590567
('Internal Time:', 0.06394815444946289, ':', 0.06366106867790222)
Total Time: 0.07091593742370605 : 0.06967496333086814
Efficiency: 0.9136864324648796
- Internal Time: Time taken by native YOLO3 call internally.
- Total Time: internal time + additional cost of wrapper
- Efficiency: Average Internal Time / Average Total Time
Internal time measurement at pydarknet.pyx
internal_start = time.time()
network_predict_image(self.net, image.img)
dets = get_network_boxes(self.net, image.img.w, image.img.h, thresh, hier_thresh, <int*>0, 0, pnum)
num = pnum[0]
if (nms > 0):
do_nms_obj(dets, num, self.meta.classes, nms)
internal_end = time.time()
self.average_internal_time = self.average_internal_time * 0.8 + (internal_end-internal_start) * 0.2
print("Internal Time:",internal_end-internal_start, ":", self.average_internal_time)Total time measurement at webcam_test.py
start_time = time.time()
# Only measure the time taken by YOLO and API Call overhead
dark_frame = Image(frame)
results = net.detect(dark_frame)
del dark_frame
end_time = time.time()
average_time = average_time * 0.8 + (end_time-start_time) * 0.2
print("Total Time:", end_time-start_time, ":", average_time)
print("Efficiency:", net._get_average_time()/average_time)from yolo3-4-py.
madhawav
commented on August 28, 2024
Hi,
Thank you for raising the issue.
- Can I know the operating system you work on?
- Did you clone and compile the darknet repository as mentioned?
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madhawav
commented on August 28, 2024
@Ntweat, can I know the version of OpenCV you used?
I managed to reproduce this issue by compiling with OpenCV 3.4.1 in Ubuntu 16.04. It can be resolved by compiling using Open CV 3.4.0.
In fact, it is mentioned here that darknet does not work with OpenCV 3.4.1 due to an issue in Open CV 3.4.1 C API.
On a side note, you have to compile Darknet with OpenCV enabled as explained here. I have forgotten to mention this step at the Readme.
Does compiling with OpenCV 3.4.0 solve this issue for you?
Thanks
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justinas-kazanavicius
commented on August 28, 2024
I'm getting the exact same error. I'm sure I have opencv 3.4.0 because I get this if I check my version in python:
>>> import cv2
>>> cv2.__version__
'3.4.0'
Or, if I do
$ opencv_version
3.2.0
Also, if I run darknet test:
./darknet imtest data/eagle.jpg
it works just as intended (I get bunch of windows with eagles in them)
Also, when using setup.py I get:
python3 setup.py build_ext --inplace
/usr/lib64/python3.6/distutils/dist.py:261: UserWarning: Unknown distribution option: 'install_requires'
warnings.warn(msg)
running build_ext
skipping 'pydarknet.cpp' Cython extension (up-to-date)
building 'pydarknet' extension
gcc -pthread -Wno-unused-result -Wsign-compare -DDYNAMIC_ANNOTATIONS_ENABLED=1 -DNDEBUG -O2 -g -pipe -Wall -Werror=format-security -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -m64 -mtune=generic -fasynchronous-unwind-tables -D_GNU_SOURCE -fPIC -fwrapv -fPIC -I/usr/local/lib64/python3.6/site-packages/numpy/core/include -I/home/justin/Projects/comp3931/darknet/include -I/home/justin/Projects/comp3931/darknet/src -I/usr/include/python3.6m -c pydarknet.cpp -o build/temp.linux-x86_64-3.6/pydarknet.o -I/usr/include/opencv -I/usr/include/python3.6m
In file included from /usr/local/lib64/python3.6/site-packages/numpy/core/include/numpy/ndarraytypes.h:1816:0,
from /usr/local/lib64/python3.6/site-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/local/lib64/python3.6/site-packages/numpy/core/include/numpy/arrayobject.h:4,
from pydarknet.cpp:539:
/usr/local/lib64/python3.6/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
gcc -pthread -Wno-unused-result -Wsign-compare -DDYNAMIC_ANNOTATIONS_ENABLED=1 -DNDEBUG -O2 -g -pipe -Wall -Werror=format-security -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -m64 -mtune=generic -fasynchronous-unwind-tables -D_GNU_SOURCE -fPIC -fwrapv -fPIC -I/usr/local/lib64/python3.6/site-packages/numpy/core/include -I/home/justin/Projects/comp3931/darknet/include -I/home/justin/Projects/comp3931/darknet/src -I/usr/include/python3.6m -c bridge.cpp -o build/temp.linux-x86_64-3.6/bridge.o -I/usr/include/opencv -I/usr/include/python3.6m
g++ -pthread -shared -Wl,-z,relro -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -g -Wl,-z,relro -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -g -flto -fuse-linker-plugin -ffat-lto-objects -flto-partition=none build/temp.linux-x86_64-3.6/pydarknet.o build/temp.linux-x86_64-3.6/bridge.o -L/home/justin/Projects/comp3931/darknet -L/usr/lib64 -ldarknet -lm -lpthread -lpython3.6m -o /home/justin/Projects/comp3931/YOLO3-4-Py/pydarknet.cpython-36m-x86_64-linux-gnu.so -lopencv_shape -lopencv_stitching -lopencv_superres -lopencv_videostab -lopencv_aruco -lopencv_bgsegm -lopencv_bioinspired -lopencv_ccalib -lopencv_cvv -lopencv_datasets -lopencv_dpm -lopencv_face -lopencv_freetype -lopencv_fuzzy -lopencv_hdf -lopencv_line_descriptor -lopencv_optflow -lopencv_video -lopencv_plot -lopencv_reg -lopencv_saliency -lopencv_stereo -lopencv_structured_light -lopencv_phase_unwrapping -lopencv_rgbd -lopencv_surface_matching -lopencv_text -lopencv_ximgproc -lopencv_calib3d -lopencv_features2d -lopencv_flann -lopencv_xobjdetect -lopencv_objdetect -lopencv_ml -lopencv_xphoto -lopencv_highgui -lopencv_videoio -lopencv_imgcodecs -lopencv_photo -lopencv_imgproc -lopencv_core -lpython3.6m
/usr/bin/ld: cannot find -lopencv_shape -lopencv_stitching -lopencv_superres -lopencv_videostab -lopencv_aruco -lopencv_bgsegm -lopencv_bioinspired -lopencv_ccalib -lopencv_cvv -lopencv_datasets -lopencv_dpm -lopencv_face -lopencv_freetype -lopencv_fuzzy -lopencv_hdf -lopencv_line_descriptor -lopencv_optflow -lopencv_video -lopencv_plot -lopencv_reg -lopencv_saliency -lopencv_stereo -lopencv_structured_light -lopencv_phase_unwrapping -lopencv_rgbd -lopencv_surface_matching -lopencv_text -lopencv_ximgproc -lopencv_calib3d -lopencv_features2d -lopencv_flann -lopencv_xobjdetect -lopencv_objdetect -lopencv_ml -lopencv_xphoto -lopencv_highgui -lopencv_videoio -lopencv_imgcodecs -lopencv_photo -lopencv_imgproc -lopencv_core
collect2: error: ld returned 1 exit status
error: command 'g++' failed with exit status 1
Maybe this might be the problem? If so, how can I fix it? I use Linux (Fedora).
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madhawav
commented on August 28, 2024
@justinas-kazanavicius Can you do the following and let me know whether it works?
- Locate where opencv .so files are installed. (Search for the file 'libopencv_core.so' and identify its location)
e.g./usr/local/lib/libopencv_core.so - Add the directory of opencv .so files to environment variable LD_LIBRARY_PATH.
e.g.export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/local/lib/ - Follow the steps I have mentioned in the Readme under "How to run in local machine?".
Also, would like to know how you installed Open CV.
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justinas-kazanavicius
commented on August 28, 2024
I've just reinstalled OpenCV-3.4.0 in ~/Libs/opencv-3.4.0
.so files are in ~/Libs/opencv-3.4.0/build/lib
I've added this path to LD_LIBRARY_PATH
Ran ldconfig.
Also, I've tried creating symlinks for all .so files in /usr/lib, /usr/lib64
Nothing works...
$ env | grep '^LD_LIBRARY_PATH'
LD_LIBRARY_PATH=/home/justin/Projects/darknet:/home/justin/Libs/opencv-3.4.0/build/lib
$ ls /home/justin/Libs/opencv-3.4.0/build/lib | grep "libopencv*"
libopencv_calib3d_pch_dephelp.a
libopencv_calib3d.so
libopencv_calib3d.so.3.4
libopencv_calib3d.so.3.4.0
libopencv_core_pch_dephelp.a
libopencv_core.so
libopencv_core.so.3.4
libopencv_core.so.3.4.0
libopencv_dnn_pch_dephelp.a
libopencv_dnn.so
libopencv_dnn.so.3.4
libopencv_dnn.so.3.4.0
libopencv_features2d_pch_dephelp.a
libopencv_features2d.so
libopencv_features2d.so.3.4
libopencv_features2d.so.3.4.0
libopencv_flann_pch_dephelp.a
libopencv_flann.so
libopencv_flann.so.3.4
libopencv_flann.so.3.4.0
libopencv_highgui_pch_dephelp.a
libopencv_highgui.so
libopencv_highgui.so.3.4
libopencv_highgui.so.3.4.0
libopencv_imgcodecs_pch_dephelp.a
libopencv_imgcodecs.so
libopencv_imgcodecs.so.3.4
libopencv_imgcodecs.so.3.4.0
libopencv_imgproc_pch_dephelp.a
libopencv_imgproc.so
libopencv_imgproc.so.3.4
libopencv_imgproc.so.3.4.0
libopencv_ml_pch_dephelp.a
libopencv_ml.so
libopencv_ml.so.3.4
libopencv_ml.so.3.4.0
libopencv_objdetect_pch_dephelp.a
libopencv_objdetect.so
libopencv_objdetect.so.3.4
libopencv_objdetect.so.3.4.0
libopencv_perf_calib3d_pch_dephelp.a
libopencv_perf_core_pch_dephelp.a
libopencv_perf_dnn_pch_dephelp.a
libopencv_perf_features2d_pch_dephelp.a
libopencv_perf_imgcodecs_pch_dephelp.a
libopencv_perf_imgproc_pch_dephelp.a
libopencv_perf_objdetect_pch_dephelp.a
libopencv_perf_photo_pch_dephelp.a
libopencv_perf_stitching_pch_dephelp.a
libopencv_perf_superres_pch_dephelp.a
libopencv_perf_videoio_pch_dephelp.a
libopencv_perf_video_pch_dephelp.a
libopencv_photo_pch_dephelp.a
libopencv_photo.so
libopencv_photo.so.3.4
libopencv_photo.so.3.4.0
libopencv_shape_pch_dephelp.a
libopencv_shape.so
libopencv_shape.so.3.4
libopencv_shape.so.3.4.0
libopencv_stitching_pch_dephelp.a
libopencv_stitching.so
libopencv_stitching.so.3.4
libopencv_stitching.so.3.4.0
libopencv_superres_pch_dephelp.a
libopencv_superres.so
libopencv_superres.so.3.4
libopencv_superres.so.3.4.0
libopencv_test_calib3d_pch_dephelp.a
libopencv_test_core_pch_dephelp.a
libopencv_test_dnn_pch_dephelp.a
libopencv_test_features2d_pch_dephelp.a
libopencv_test_flann_pch_dephelp.a
libopencv_test_highgui_pch_dephelp.a
libopencv_test_imgcodecs_pch_dephelp.a
libopencv_test_imgproc_pch_dephelp.a
libopencv_test_ml_pch_dephelp.a
libopencv_test_objdetect_pch_dephelp.a
libopencv_test_photo_pch_dephelp.a
libopencv_test_shape_pch_dephelp.a
libopencv_test_stitching_pch_dephelp.a
libopencv_test_superres_pch_dephelp.a
libopencv_test_videoio_pch_dephelp.a
libopencv_test_video_pch_dephelp.a
libopencv_test_videostab_pch_dephelp.a
libopencv_ts.a
libopencv_ts_pch_dephelp.a
libopencv_videoio_pch_dephelp.a
libopencv_videoio.so
libopencv_videoio.so.3.4
libopencv_videoio.so.3.4.0
libopencv_video_pch_dephelp.a
libopencv_video.so
libopencv_video.so.3.4
libopencv_video.so.3.4.0
libopencv_videostab_pch_dephelp.a
libopencv_videostab.so
libopencv_videostab.so.3.4
libopencv_videostab.so.3.4.0
$ pkg-config --libs opencv
-lopencv_shape -lopencv_stitching -lopencv_superres -lopencv_videostab -lopencv_aruco -lopencv_bgsegm -lopencv_bioinspired -lopencv_ccalib -lopencv_cvv -lopencv_datasets -lopencv_dpm -lopencv_face -lopencv_freetype -lopencv_fuzzy -lopencv_hdf -lopencv_line_descriptor -lopencv_optflow -lopencv_video -lopencv_plot -lopencv_reg -lopencv_saliency -lopencv_stereo -lopencv_structured_light -lopencv_phase_unwrapping -lopencv_rgbd -lopencv_surface_matching -lopencv_text -lopencv_ximgproc -lopencv_calib3d -lopencv_features2d -lopencv_flann -lopencv_xobjdetect -lopencv_objdetect -lopencv_ml -lopencv_xphoto -lopencv_highgui -lopencv_videoio -lopencv_imgcodecs -lopencv_photo -lopencv_imgproc -lopencv_core
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madhawav
commented on August 28, 2024
@justinas-kazanavicius Did you follow the make install step in OpenCV installation?
It seems pkg-config is not updated after the new installation of OpenCV. For example, pkg-config lists a result called -lopencv_line_descriptor but libopencv_line_descriptor is not present in your installation directory.
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justinas-kazanavicius
commented on August 28, 2024
@madhawav Saw your comment just after fixing it. You're right, I did not.
I fixed it by completely uninstalling all opencv packages on my computer. Re-installing OpenCV-3.4.0, using these instructions from this repo. And then running export PKG_CONFIG_PATH=/home/justin/Libs/opencv-3.4.0/build/unix-install. Then I used make on darknet again, and after that YOLO3-4-Py/setup.py was working as intended.
What confused me was the other packages of opencv that I had on my computer. They allowed me to compile darknet sucessfully, and that made me think my opencv-3.4.0 installation was successful.
Thanks for the help!
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justinas-kazanavicius
commented on August 28, 2024
However... even though it installs, it still doesn't run. I get
Traceback (most recent call last):
File "webcam_test.py", line 3, in <module>
import pydarknet
ImportError: /home/justin/Projects/darknet/libdarknet.so: undefined symbol: cvWaitKey
I found that other people from a different, older YOLO library had the same problem.
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abossenbroek
commented on August 28, 2024
It looks like your executable cannot resolve your OpenCV libraries. Try adding the path with your opencv install to /etc/ld.so.conf.d dir following steps outlined here.
BTW, you may want to install your libraries in /usr/local/ instead of your home dir.
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madhawav
commented on August 28, 2024
@justinas-kazanavicius Did you do a clean build on darknet after re-installing OpenCV ?
cd darknet_home
make clean
make
Maybe your re-using the old libdarknet.so file which you made with previous installation of OpenCV. It would probably fail to link with new installation of OpenCV.
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justinas-kazanavicius
commented on August 28, 2024
@abossenbroek @
I did, same error. It seems that libraries are recognised:
$ ldconfig -v | grep opencv
ldconfig: Can't stat /libx32: No such file or directory
ldconfig: Path `/usr/lib' given more than once
ldconfig: Path `/usr/lib64' given more than once
ldconfig: Can't stat /usr/libx32: No such file or directory
/home/justin/Libs/opencv-3.4.0/build/lib:
libopencv_core.so.3.4 -> libopencv_core.so.3.4.0
libopencv_imgcodecs.so.3.4 -> libopencv_imgcodecs.so.3.4.0
libopencv_stitching.so.3.4 -> libopencv_stitching.so.3.4.0
libopencv_flann.so.3.4 -> libopencv_flann.so.3.4.0
libopencv_shape.so.3.4 -> libopencv_shape.so.3.4.0
libopencv_videoio.so.3.4 -> libopencv_videoio.so.3.4.0
libopencv_video.so.3.4 -> libopencv_video.so.3.4.0
libopencv_dnn.so.3.4 -> libopencv_dnn.so.3.4.0
libopencv_imgproc.so.3.4 -> libopencv_imgproc.so.3.4.0
libopencv_features2d.so.3.4 -> libopencv_features2d.so.3.4.0
libopencv_photo.so.3.4 -> libopencv_photo.so.3.4.0
libopencv_highgui.so.3.4 -> libopencv_highgui.so.3.4.0
libopencv_superres.so.3.4 -> libopencv_superres.so.3.4.0
libopencv_calib3d.so.3.4 -> libopencv_calib3d.so.3.4.0
libopencv_videostab.so.3.4 -> libopencv_videostab.so.3.4.0
libopencv_ml.so.3.4 -> libopencv_ml.so.3.4.0
libopencv_objdetect.so.3.4 -> libopencv_objdetect.so.3.4.0
ldconfig: Can't create temporary cache file /etc/ld.so.cache~: Permission denied
@madhawav
I did a fresh download and make of darknet just after re-installing opencv. I've just done make clean and make and its the same result...
@madhawav @abossenbroek
I've just tried to remove of yolo3-4py and cloned it again. Now when running setup.py, I get:
python3 setup.py build_ext --inplace
/usr/lib64/python3.6/distutils/dist.py:261: UserWarning: Unknown distribution option: 'install_requires'
warnings.warn(msg)
running build_ext
skipping 'pydarknet.cpp' Cython extension (up-to-date)
building 'pydarknet' extension
gcc -pthread -Wno-unused-result -Wsign-compare -DDYNAMIC_ANNOTATIONS_ENABLED=1 -DNDEBUG -O2 -g -pipe -Wall -Werror=format-security -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -m64 -mtune=generic -fasynchronous-unwind-tables -D_GNU_SOURCE -fPIC -fwrapv -fPIC -I/usr/local/lib64/python3.6/site-packages/numpy/core/include -I/home/justin/Projects/darknet/include -I/home/justin/Projects/darknet/src -I/usr/include/python3.6m -c pydarknet.cpp -o build/temp.linux-x86_64-3.6/pydarknet.o -I/usr/include/python3.6m
gcc: error: : No such file or directory
error: command 'gcc' failed with exit status 1
Paths seem to be set up well.
env | grep darknet
DARKNET_HOME=/home/justin/Projects/darknet
LD_LIBRARY_PATH=:/home/justin/Projects/darknet:/home/justin/Libs/opencv-3.4.0/build/
Darknet is working fine by itself too.
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abossenbroek
commented on August 28, 2024
run sudo ldconfig to fix the permission issue
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justinas-kazanavicius
commented on August 28, 2024
- It compiles and works perfectly! Thank you! I will use this branch for now then.
- Fedora 27
- You mean running
sudo ldconfig? Yeah, nothing changes.
How much slower is this direct conversion compared to the OpenCV method?
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madhawav
commented on August 28, 2024
@justinas-kazanavicius Glad to here!
I've just managed to re-produce the error undefined symbol: _ZN2cv8fastFreeEPv by compiling darknet without having OpenCV flag set. (That means without setting OpenCV=1 in makefile of darknet.)
Could that be the reason why you couldn't use the code from master branch?
Also, I will send you a performance comparison between two branches soon.
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justinas-kazanavicius
commented on August 28, 2024
Found the issue!
Previously before compiling darknet, I executed export PKG_CONFIG_PATH=/home/justin/Libs/opencv-3.4.0/build/unix-install in my terminal, but I did not add it to my ~/.bash_profile, then I guess I used another terminal to continue with YOLO3-4-Py installation and because of that PKG_CONFIG_PATH got reset.
So, that empty gcc argument was probably my empty PKG_CONFIG_PATH...
I've added export PKG_CONFIG_PATH=$PKG_CONFIG_PATH:/home/justin/Libs/opencv-3.4.0/build/unix-install to my ~/.bash_profile now and it's working fine with master branch!
Thanks for all your help @madhawav and @abossenbroek !
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madhawav
commented on August 28, 2024
Glad to help @justinas-kazanavicius.
Will close this issue then. Re-open if you encounter any similar issues.
Happy coding!
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maylad31
commented on August 28, 2024
hi i am getting ImportError: /home/step/YOLO3P/pydarknet.cpython-35m-x86_64-linux-gnu.so: undefined symbol: _ZN2cv8fastFreeEPv
I have tried some things mentioned here
but i don't want to uninstall my opencv
I have installed opencv 3.4.0 from source
please help
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