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Darknet with NNPACK

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Dear, during `$NINJA_HOME/ninja` running, following error occured and build process stopped; ``` [30/147] CC deps/pthreadpool/src/pthreads.c FAILED: /home/pi/Downloads/NNPACK-darknet/build/deps/pthreadpool/src/pthreads.c.o gcc -o /home/pi/Downloads/NNPACK-darknet/build/deps/pthreadpool/src/pthreads.c.o -c /home/pi/Downloads/NNPACK-darknet/deps/pthreadpool/src/pthreads.c -MMD -MF /home/pi/Downloads/NNPACK-darknet/build/deps/pthreadpool/src/pthreads.c.o.d -std=gnu11 -g -pthread -O2 -I/home/pi/Downloads/NNPACK-darknet/deps/pthreadpool/include...

I have done all the prepared work, and run "./darknet detector test cfg/coco.data cfg/yolov3-tiny.cfg yolov3-tiny.weights data/person.jpg " successfully. But when I use the python code called "darknet.py", comes the error:"OSError:...

Hello, I am trying to detect objects with Raspberry Pi camera by running `./darknet detector demo`, but no objects are being detected. Detecting does work however when using `./darknet detector...

Hi, I follow the installation guide on my Raspberry Pi 3b+ and When I try the test command: `YOLOv2-tiny ./darknet detector test cfg/coco.data cfg/yolov2-tiny.cfg yolov2-tiny.weights data/person.jpg YOLOv3-tiny ./darknet detector test...

We train a classifier model ,run it in pc or darknet without nnpack in arm cpu the result is: _darknet_alexeyAB/darknet classifier predict dataset.data darknet.cfg darknet_last.weights 1590749416321855_number.jpg layer filters size/strd(dil) input...

I'm on a Raspberry 4 with 2gb ram. When I run $NINJA_PATH/ninja for NNPACK-darknet I get this error ( see at the end of the log [14/147] and [15/147] )...

Hello everyone! Does anyone have a nice code for real-time detection on Raspberry Pi 4? Right now I use this and it's working: ./darknet detector demo cfg/coco.data cfg/yolov3-tiny.cfg yolov3-tiny.weights But...

I compiled darknet-nnpack with x86-64 linux, but it cannot work well with the weights file downloaded from this site. It always says “ core dump". Have anyone tried it on...

I would like to use the darknet.py, then I modify the Makefile. The following is the Makefile's content. ``` GPU=0 CUDNN=0 CUDNN_HALF=0 OPENCV=1 AVX=0 OPENMP=0 LIBSO=1 ZED_CAMERA=0 NNPACK=1 # set...

When channel is 1, draw_box() fails because its been written for 3-channel images.