パソコンにThermalcam_Trackerをインストールする方法(To install Thermalcam_Tracker to PC with GPU)

こんな感じ。

Ubuntu20or 22にthermalcam_trackerインストール

先ずはパソコンのGPUドライバーインストール

BIOSでSecure BootをDisable

$ dmesg | grep Secure

wiwao20046@wiwao20046-desktop:~$ dmesg | grep Secure

[ 0.000000] secureboot: Secure boot disabled

[ 0.007099] secureboot: Secure boot disabled

[ 7.829150] Loaded X.509 cert ‘Canonical Ltd. Secure Boot Signing: 61482aa2830d0ab2ad5af10b7250da9033ddcef0’

[ 7.829160] Loaded X.509 cert ‘Canonical Ltd. Secure Boot Signing (2017): 242ade75ac4a15e50d50c84b0d45ff3eae707a03’

[ 7.829169] Loaded X.509 cert ‘Canonical Ltd. Secure Boot Signing (ESM 2018): 365188c1d374d6b07c3c8f240f8ef722433d6a8b’

[ 7.829178] Loaded X.509 cert ‘Canonical Ltd. Secure Boot Signing (2019): c0746fd6c5da3ae827864651ad66ae47fe24b3e8’

[ 7.829186] Loaded X.509 cert ‘Canonical Ltd. Secure Boot Signing (2021 v1): a8d54bbb3825cfb94fa13c9f8a594a195c107b8d’

[ 7.829195] Loaded X.509 cert ‘Canonical Ltd. Secure Boot Signing (2021 v2): 4cf046892d6fd3c9a5b03f98d845f90851dc6a8c’

[ 7.829205] Loaded X.509 cert ‘Canonical Ltd. Secure Boot Signing (2021 v3): 100437bb6de6e469b581e61cd66bce3ef4ed53af’

[ 7.829214] Loaded X.509 cert ‘Canonical Ltd. Secure Boot Signing (Ubuntu Core 2019): c1d57b8f6b743f23ee41f4f7ee292f06eecadfb9’

nouveau if nothing display, it should be ok.

$ lsmod | grep -i nouveau

$ sudo vi /etc/modprobe.d/blacklist-nvidia-nouveau.conf

add following.

blacklist nouveau

options nouveau modset=0

$ sudo update-initramfs -u

$ ubuntu-drivers devices

wiwao20046@wiwao20046-desktop:~$ ubuntu-drivers devices

== /sys/devices/pci0000:00/0000:00:01.0/0000:01:00.0 ==

modalias : pci:v000010DEd00001B80sv00001462sd00003366bc03sc00i00

vendor : NVIDIA Corporation

model : GP104 [GeForce GTX 1080]

driver : nvidia-driver-520 – third-party non-free

driver : nvidia-driver-455 – third-party non-free

driver : nvidia-driver-530 – third-party non-free

driver : nvidia-driver-515 – third-party non-free

driver : nvidia-driver-450-server – distro non-free

driver : nvidia-driver-535-server – distro non-free

driver : nvidia-driver-470 – third-party non-free

driver : nvidia-driver-525 – third-party non-free

driver : nvidia-driver-450 – third-party non-free

driver : nvidia-driver-460 – third-party non-free

driver : nvidia-driver-390 – distro non-free

driver : nvidia-driver-470-server – distro non-free

driver : nvidia-driver-535 – third-party non-free recommended

driver : nvidia-driver-525-server – distro non-free

driver : nvidia-driver-510 – third-party non-free

driver : nvidia-driver-465 – third-party non-free

driver : nvidia-driver-495 – third-party non-free

driver : nvidia-driver-418-server – distro non-free

driver : xserver-xorg-video-nouveau – distro free builtin

$ sudo apt install nvidia-driver-(***) as per your GPU.

Reboot

$ sudo apt update && apt upgrade

$ nvidia-smi

wiwao20046@wiwao20046-desktop:~$ nvidia-smi

Wed Sep 6 08:52:26 2023

+—————————————————————————————+

| NVIDIA-SMI 535.104.05 Driver Version: 535.104.05 CUDA Version: 12.2 |

|—————————————–+———————-+———————-+

| GPU Name Persistence-M | Bus-Id Disp.A | Volatile Uncorr. ECC |

| Fan Temp Perf Pwr:Usage/Cap | Memory-Usage | GPU-Util Compute M. |

| | | MIG M. |

|=========================================+======================+======================|

| 0 NVIDIA GeForce GTX 1080 On | 00000000:01:00.0 On | N/A |

| 33% 37C P8 8W / 200W | 110MiB / 8192MiB | 1% Default |

| | | N/A |

+—————————————–+———————-+———————-+

+—————————————————————————————+

| Processes: |

| GPU GI CI PID Type Process name GPU Memory |

| ID ID Usage |

|=======================================================================================|

| 0 N/A N/A 1282 G /usr/lib/xorg/Xorg 80MiB |

| 0 N/A N/A 1557 G /usr/bin/gnome-shell 27MiB |

+—————————————————————————————+

*CUDA

wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64/cuda-keyring_1.1-1_all.deb

#######################################################################

wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/x86_64/cuda-keyring_1.1-1_all.deb

##########################################################################

sudo dpkg -i cuda-keyring_1.1-1_all.deb

~~(sudo apt-get update)~~

sudo apt-get -y install cuda

(sudo apt --fix-broken install)

sudo apt install aptitude

sudo aptitude install cuda

nano .bashrc

add followings.

export PATH=/usr/local/cuda/bin:${PATH}

export LD_LIBRARY_PATH=/usr/local/cuda/lib64:${LD_LIBRARY_PATH}

reboot

check nvcc -V

wiwao20046@wiwao20046-desktop:~$ nvcc -V

nvcc: NVIDIA (R) Cuda compiler driver

Built on Tue_Aug_15_22:02:13_PDT_2023

Cuda compilation tools, release 12.2, V12.2.140

Build cuda_12.2.r12.2/compiler.33191640_0

Install cuDNN

https://developer.nvidia.com/rdp/cudnn-download

$ mv ~/Downloads/cudnn-local-repo-ubuntu2004-8.9.4.25_1.0-1_amd64.deb .

$ sudo dpkg -i cudnn-local-repo-ubuntu2004-8.9.4.25_1.0-1_amd64.deb

######################

~~mv ~/Downloads/cudnn-local-repo-ubuntu2204-8.9.4.25_1.0-1_amd64.deb .~~

mv ~/Downloads/cudnn-local-repo-ubuntu2204-8.9.5.29_1.0-1_amd64.deb .

~~sudo dpkg -i cudnn-local-repo-ubuntu2204-8.9.4.25_1.0-1_amd64.deb~~

sudo dpkg -i cudnn-local-repo-ubuntu2204-8.9.5.29_1.0-1_amd64.deb

####################

[sudo] password for wiwao:

Selecting previously unselected package cudnn-local-repo-ubuntu2004-8.9.4.25.

(Reading database … 202162 files and directories currently installed.)

Preparing to unpack cudnn-local-repo-ubuntu2004-8.9.4.25_1.0-1_amd64.deb …

Unpacking cudnn-local-repo-ubuntu2004-8.9.4.25 (1.0-1) …

Setting up cudnn-local-repo-ubuntu2004-8.9.4.25 (1.0-1) …

The public cudnn-local-repo-ubuntu2004-8.9.4.25 GPG key does not appear to be installed.

To install the key, run this command:

sudo cp /var/cudnn-local-repo-ubuntu2004-8.9.4.25/cudnn-local-4A5BA598-keyring.gpg /usr/share/keyrings/

$ sudo cp /var/cudnn-local-repo-ubuntu2004-8.9.4.25/cudnn-local-4A5BA598-keyring.gpg /usr/share/keyrings/

#####

sudo cp /var/cudnn-local-repo-ubuntu2204-8.9.4.25/cudnn-local-3C3A81D3-keyring.gpg /usr/share/keyrings/

####

$ sudo apt update

$ apt-cache search cudnn

libcudnn8 – cuDNN runtime libraries

libcudnn8-dev – cuDNN development libraries and headers

libcudnn8-samples – cuDNN samples

cudnn-local-repo-ubuntu2004-8.9.4.25 – cudnn-local repository configuration files

$ sudo apt -y install libcudnn8 libcudnn8-dev libcudnn8-samples

$ dpkg -l | grep cudnn

ii cudnn-local-repo-ubuntu2004-8.9.4.25 1.0-1 amd64 cudnn-local repository configuration files

ii libcudnn8 8.9.4.25-1+cuda12.2 amd64 cuDNN runtime libraries

ii libcudnn8-dev 8.9.4.25-1+cuda12.2 amd64 cuDNN development libraries and headers

ii libcudnn8-samples 8.9.4.25-1+cuda12.2 amd64 cuDNN samples

cat /usr/include/cudnn.h | grep cudnn

Before you install OpenCV, install openframeworks

to prevent overright original OpenCV

wget https://github.com/openframeworks/openFrameworks/releases/download/0.11.2/of_v0.11.2_linux64gcc6_release.tar.gz

mkdir of_11.2

tar vxfz of_v0.11.2_linux64gcc6_release.tar.gz -C of_11.2 --strip-components 1

cd of_11.2/scripts/linux/ubuntu

sudo ./install_dependencies.sh

cd of_11.2/scripts/linux

./compileOF.sh -j4

Download Darknet__LEPTON3PI_Tracker and copy to of_11.2/apps/myApps/

Darknet__LEPTON3PI_Tracker - Google ドライブ

GitHub - wiwao/ThermalCam_Tracker: Lepton3.0_nano & Darknet_Lepton3PI_Tracker

Lepton3.0_nano & Darknet_Lepton3PI_Tracker. Contribute to wiwao/ThermalCam_Tracker development by creating an account on...

**Add ofxUI into of_11.2/addons

cd of_11.2/addons/

copy ofxUI to addons

Please carefully to check OpenCV well installed.

Reference:

Install Caffe on Ubuntu 20.04 with OpenCV 4.4 - Q-engineering

A thorough guide on how to install OpenCV 4.4.0 and Caffe on Ubuntu 20.04 for Python 3.8

# a fresh start in the morning

$ sudo apt-get update

$ sudo apt-get upgrade

# install the dependencies

$ sudo apt-get install build-essential cmake git unzip pkg-config

$ sudo apt-get install libjpeg-dev libpng-dev libtiff-dev

$ sudo apt-get install libavcodec-dev libavformat-dev libswscale-dev

$ sudo apt-get install libgtk2.0-dev libcanberra-gtk*

$ sudo apt-get install python3-dev python3-numpy python3-pip

$ sudo apt-get install libxvidcore-dev libx264-dev libgtk-3-dev

$ sudo apt-get install libtbb2 libtbb-dev libdc1394-22-dev

$ sudo apt-get install libv4l-dev v4l-utils

$ sudo apt-get install libgstreamer1.0-dev libgstreamer-plugins-base1.0-dev

$ sudo apt-get install libvorbis-dev libxine2-dev

$ sudo apt-get install libfaac-dev libmp3lame-dev libtheora-dev

$ sudo apt-get install libopencore-amrnb-dev libopencore-amrwb-dev

$ sudo apt-get install libopenblas-dev libatlas-base-dev libblas-dev

$ sudo apt-get install liblapack-dev libeigen3-dev gfortran

$ sudo apt-get install libhdf5-dev protobuf-compiler

$ sudo apt-get install libprotobuf-dev libgoogle-glog-dev libgflags-dev

# a symlink to videodev.h

$ cd /usr/include/linux

$ sudo ln -s -f ../libv4l1-videodev.h videodev.h

$ cd ~

git clone https://github.com/opencv/opencv.git

git clone https://github.com/opencv/opencv_contrib.git

$ cd ~/opencv

$ mkdir build

$ cd build

-D CUDA_ARCH_BIN=7.5 \ RTX2080 , -D CUDA_ARCH_BIN=6.1 \ GTX1080

cmake \

-D CMAKE_BUILD_TYPE=RELEASE \

-D CMAKE_INSTALL_PREFIX=/usr/ \

-D BUILD_TIFF=ON \

-D WITH_FFMPEG=ON \

-D WITH_GSTREAMER=ON \

-D WITH_CUDA=ON \

-D WITH_CUDNN=ON \

-D WITH_CUBLAS=ON \

-D WITH_TBB=ON \

-D BUILD_TBB=ON \

-D WITH_EIGEN=ON \

-D WITH_V4L=ON \

-D WITH_LIBV4L=ON \

-D WITH_VTK=OFF \

-D WITH_QT=OFF \

-D WITH_OPENGL=ON \

-D OPENCV_ENABLE_NONFREE=ON \

-D INSTALL_C_EXAMPLES=OFF \

-D INSTALL_PYTHON_EXAMPLES=OFF \

-D BUILD_NEW_PYTHON_SUPPORT=ON \

-D OPENCV_GENERATE_PKGCONFIG=ON \

-D BUILD_TESTS=OFF \

-D OPENCV_DNN_CUDA=ON \

-D ENABLE_FAST_MATH=ON \

-D CUDA_FAST_MATH=ON \

-D OPENCV_ENABLE_NONFREE=ON \

-D CUDA_ARCH_BIN=7.5 \

-D OPENCV_EXTRA_MODULES_PATH=$HOME/opencv_contrib/modules \

-D BUILD_EXAMPLES=OFF \

-D HAVE_opencv_python3=ON \

make -j8

sudo make install

sudo ldconfig

sudo apt-get update

wiwao@wiwao-iiyama:~/Desktop$ python3
Python 3.10.12 (main, Jun 11 2023, 05:26:28) [GCC 11.4.0] on linux
Type “help”, “copyright”, “credits” or “license” for more information.
>>> import cv2
>>> cv2.__version__
‘4.8.0-dev’
>>>

8. install darknet
git clone https://github.com/AlexeyAB/darknet

edit makefile : change parameter 0 to 1

GPU=1

CUDNN=1

CUDNN_HALF=1

OPENCV=1

LIBSO=1

Please check your GPU architecture and commnetout accordingly

CUDA GPUs - Compute Capability

Explore your GPU compute capability and CUDA-enabled products.

# GeForce Titan RTX, RTX 20×0, RTX 20×0 Ti, Quadro RTX x000, Tesla T4, XNOR Tensor Cores
ARCH= -gencode arch=compute_75,code=[sm_75,compute_75]

$ make -j4

remote controll Raspberrypi with sshpass.

install Sshpass

sudo apt-get install sshpass

to check ifconfig

sudo apt install net-tools

please check ssh connection with Raspberry Pi

$ ssh pi@raspberrypi.local

The authenticity of host ‘raspberrypi.local (192.168.0.182)’ can’t be established.

ECDSA key fingerprint is SHA256:kyh3u79IbcfVBsMS0CiLJofZ/hRdx67iLfVJ+rntxxx.

Are you sure you want to continue connecting (yes/no)?

please ckeck Lan or WiFi ID and replace ID of ofApp.cpp

after that make clean Darknet__LEPTON3PI_Tracker and make -j4

$ ifconfig

enp0s31f6: flags=4163<UP,BROADCAST,RUNNING,MULTICAST> mtu 1500

inet 192.168.0.167 netmask 255.255.255.0 broadcast 192.168.0.255

inet6 fe80::ef17:8dac:b4e3:654d prefixlen 64 scopeid 0x20<link>

ether 70:85:c2:58:d2:f6 txqueuelen 1000 (Ethernet)

RX packets 365531 bytes 438864962 (438.8 MB)

RX errors 0 dropped 125 overruns 0 frame 0

TX packets 80311 bytes 7357208 (7.3 MB)

TX errors 0 dropped 0 overruns 0 carrier 0 collisions 0

device interrupt 16 memory 0xdf100000-df120000

lo: flags=73<UP,LOOPBACK,RUNNING> mtu 65536

inet 127.0.0.1 netmask 255.0.0.0

inet6 ::1 prefixlen 128 scopeid 0x10<host>

loop txqueuelen 1000 (Local Loopback)

RX packets 1079 bytes 97649 (97.6 KB)

RX errors 0 dropped 0 overruns 0 frame 0

TX packets 1079 bytes 97649 (97.6 KB)

TX errors 0 dropped 0 overruns 0 carrier 0 collisions 0

change following part at ofApp.cpp

//****************Local IP**********************

int fd;

struct ifreq ifr;

fd = socket(AF_INET, SOCK_DGRAM, 0);

ifr.ifr_addr.sa_family = AF_INET;

strncpy(ifr.ifr_name, “enp0s31f6“, IFNAMSIZ-1);

ioctl(fd, SIOCGIFADDR, &ifr);

close(fd);

Zav_ip=inet_ntoa(((struct sockaddr_in *)&ifr.ifr_addr)->sin_addr);

//*********************************************

ttt2=-(ofGetElapsedTimef()+5); //reboot hyozi syori!!

// Found_X.startThread();

}

//————————————————————–

void ofApp::update(){

＊　details refer to Darknet__LEPTON3PI_Tracker

7. add linkfile

sudo ln -s /usr/include/opencv4/opencv2 /usr/include/opencv2

9. add linkfile

ln -s ~/darknet/src ~/darknet/src1

(10. delete linkfile before replacing new src1 if already src1 in src, if not, next 11. add new src1 as follows at the same directory)

$ cd of_11.2/apps/myApps/Darknet__LEPTON3PI_Tracker/src

11. add new src1 as follows at the same directory

$ ln -s ~/darknet/src1

13. change ofApp.cpp folloing 3 lines from 1060 to 1075 as per the above Raspberry Pi settings (sshpass -p = your Raspberry Pi password to control from Jetson Nano)

$ sudo apt install geany(if not yet installed)

$ cd of_11.2/apps/myApps/Darknet__LEPTON3PI_Trackr/src

And open ofApp.cpp with geany and edit accorrding to your Raspberry Pi password, directory, etc., as follows;-

char Pi_Lepton_Start[200]=”sshpass -p pi ssh pi@raspberrypi.local \”export DISPLAY=:0 ; /home/pi4/Desktop/of_11.2/apps/myApps/PI_Lepton3.0_nano_x2/bin/PI_Lepton3.0_nano_x2 “;

char Pi_Lepton_Stop[150]=”sshpass -p pi ssh pi@raspberrypi.local sudo pkill -f PI_Lepton3.0_nano_x2 > /dev/null &”;

strcat(Pi_Lepton_Start,Zav_ip);

strcat(Pi_Lepton_Start,”\” > /dev/null &”);

and line 1075

char Pi_Lepton_Stop[150]=”sshpass -p pi ssh pi@raspberrypi.local sudo pkill -f PI_Lepton3.0_nano_x2 > /dev/null &”;