Comments (3)
V3 depends only on onnxruntime and opencv, both of which should be there on raspberry pi
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V3 depends only on onnxruntime and opencv, both of which should be there on raspberry pi
Oh thats nice to hear :D
I now figured out, that my
pip install nudenet
Is installing version 2.0.6.
When I try install nudenet==3.0.7
It gives me the error
No matching distribution found for onnxruntime
On my Raspi:
uname -m aarch64
gcc - v
Using built-in specs.
COLLECT_GCC=gcc
COLLECT_LTO_WRAPPER=/usr/lib/gcc/arm-linux-gnueabihf/10/lto-wrapper
Target: arm-linux-gnueabihf
Configured with: ../src/configure -v --with-pkgversion='Raspbian 10.2.1-6+rpi1' --with-bugurl=file:///usr/share/doc/gcc-10/README.Bugs --enable-languages=c,ada,c++,go,d,fortran,objc,obj-c++,m2 --prefix=/usr --with-gcc-major-version-only --program-suffix=-10 --program-prefix=arm-linux-gnueabihf-
--enable-shared --enable-linker-build-id --libexecdir=/usr/lib --without-included-gettext --enable-threads=posix --libdir=/usr/lib --enable-nls --enable-bootstrap --enable-clocale=gnu --enable-libstdcxx-debug --enable-libstdcxx-time=yes --with-default-libstdcxx-abi=new --enable-gnu-unique-object --disable-libitm --disable-libquadmath --disable-libquadmath-support --enable-plugin --with-system-zlib --enable-libphobos-checking=release --with-target-system-zlib=auto --enable-objc-gc=auto --enable-multiarch --disable-sjlj-exceptions --with-arch=armv6 --with-fpu=vfp --with-float=hard --disable-werror --enable-checking=release --build=arm-linux-gnueabihf --host=arm-linux-gnueabihf --target=arm-linux-gnueabihf
Thread model: posix
Supported LTO compression algorithms: zlib zstd
gcc version 10.2.1 20210110 (Raspbian 10.2.1-6+rpi1)
I am trying to figure it out for a while now, thats why I came here :/
from nudenet.
I managed to fix it, finally :)
Now I have to get over the headache i got from it.
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Related Issues (20)
- JSON RESULTS NOT COMPLETE HOT 8
- How to draw boxes? HOT 4
- UserWarning: Specified provider 'CUDAExecutionProvider' is not in available provider names.Available providers: 'AzureExecutionProvider, CPUExecutionProvider' HOT 1
- pretrained model best.onnx HOT 1
- in_browser "Can't create a session" HOT 1
- Accuracy Issues with Certain Classes in NudeClassifier HOT 1
- Onnx Post-Processing, NMS, TensoRT HOT 4
- I made a censor extension for stable diffusion web ui using nudenet HOT 3
- Dataset question
- Helllo~how to train detectot by ourself?Is it use the model yolov8???
- Unable to detect NFS image
- Dataset availability
- ONNX Model wont load HOT 2
- not lunching after install HOT 6
- Not Predicting unsafe on some nsfw images HOT 1
- Censor type
- why is web version much better than python library? HOT 1
- how to cover parts after detected ?
- New detector only inputs path, can't use with cv images. HOT 3
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