hi,
here i use the matlab code deploy function to create the yolov2 c++ code in raspberry pi, but some problems occured after the code compliation.
when i use the armcompute version v19.02 with debug=1 to complie and build the code, there is an error when i deploy the code in matlab:
'terminate called after throwing an instance of 'std::runtime_error'terminate called after throwing an instance of 'std::runtime_error'
what(): in validate_arguments src/core/NEON/kernels/NEDepthwiseWeightsReshapeKernel.cpp:92: biases->dimension(0) != input->dimension(2)
if i set the debug=0, this erro will disappear and the code can be successfully generated. but when i use the generated code to run on the raspberry pi, the elf progamme can be started but there is nothing response from the device. i also try deploy sample in this link in my environment, it can successfully work. i setup my environment follow the process below:
1. install arm-software computelibrary
git config --global http.sslverify false
git clone https://github.com/Arm-software/ComputeLibrary.git
cd ComputeLibrary
git tag -l
git checkout v19.02
-(to build the arm_compute library and make the libarm_compute.so, libarm_compute_core.so in 'lib folder')
sudo apt-get install scons
scons debug=0 neon=1 opencl=0 arch=armv7a
mkdir lib
mv /build/*.so /lib/
2.install userland
download userland on 'https://github.com/raspberrypi/userland' and unzip it to opt folder
(or git clone https://github.com/raspberrypi/userland)
cd /opt/userland;
sudo ./buildme
sudo ldconfig
3.install nanomsg-1.0.0
wget https://github.com/nanomsg/nanomsg/archive/1.0.0.zip
sudo unzip 1.0.0.zip -d /tmp
cd /tmp/nanomsg-1.0.0 ;
mkdir build ;
cd build
sudo cmake .. ;
sudo cmake --build .
sudo cmake --build . --target install
sudo ldconfig
4. sudo apt-get install libasound2-dev
sudo apt-get install libsdl1.2-dev
5. edit arm computelibrary in /.bashrc
# ~/.bashrc: executed by bash(1) for non-login shells.
# see /usr/share/doc/bash/examples/startup-files (in the package bash-doc)
# for examples
# If not running interactively
case $- in
*i*) ;;
*) export ARM_COMPUTELIB=~/ComputeLibrary
export PATH=${PATH}:~/ComputeLibrary
return;;
esac
the fuction code and deploy.m i use is below here:
function yolov2_detect_arm_vid()
persistent yolov2obj;
opencv_linkflags = '`pkg-config --cflags --libs opencv`';
coder.updateBuildInfo('addLinkFlags',opencv_linkflags);
if isempty(yolov2obj)
yolov2obj = coder.loadDeepLearningNetwork('yolov2.mat','yolov2');
end
host = raspi();
cam = webcam(host,1);
imgsize = [416,416,3];
fps = 0;
for k = 1:1800
img = snapshot(cam);
img = imresize(img,imgsize(1:2));
tic;
[bboxes,~,labels] = detect(yolov2obj,img);
elapsedtime = toc;
fps = 0.9*fps + 0.1*(1/elapsedtime);
fprintf('fps: %f\n',fps);
if isempty(bboxes) || isempty(labels)
img = insertText(img, [5,5],fps);
displayImage(host,img);
else
img = insertObjectAnnotation(img,'rectangle',bboxes,labels);
img = insertText(img,[5,5],fps);
displayImage(host,img);
end
end
end
deploy.m
board = targetHardware('Raspberry Pi');
board.DeviceAddress = 'xxx';
board.Username = 'xx';
board.Password = 'xx';
board.BuildDir = '/home/pi/matlab_arm_codegen/';
board.CoderConfig.TargetLang = 'C++';
dlcfg = coder.DeepLearningConfig('arm-compute');
dlcfg.ArmArchitecture = 'armv7';
dlcfg.ArmComputeVersion = '19.02';
board.CoderConfig.DeepLearningConfig = dlcfg;
deploy(board,'yolov2_detect_arm_vid');
is anyone can help with this problem?
best regards
