Show pageOld revisionsBacklinksAdd to bookExport to PDFBack to top This page is read only. You can view the source, but not change it. Ask your administrator if you think this is wrong. ====== Nvidia Jetson Nano ====== * https://github.com/Qengineering/Jetson-Nano-Ubuntu-20-image * [[https://developer.nvidia.com/embedded/jetson-nano-developer-kit|interesting projects]] * [[https://elinux.org/Jetson/Cameras|cameras]] * [[https://www.edmundoptics.eu/c/cameras/1012/|camera search engine]] ===== remove desktop ===== <code> apt remove -y ubuntu-desktop apt remove -y gnome-* apt remove -y chromium-browser chromium-codecs-ffmpeg-extra apt remove -y libreoffice* docker.io thunderbird bluez* apt remove -y libnvinfer-samples # remove snap systemctl stop snapd apt remove --purge --assume-yes snapd gnome-software-plugin-snap rm -rf /var/cache/snapd/ apt autoremove -y </code> <code> systemctl disable lightdm whoopsie ModemManager bluetooth.service gpsd </code> ===== tools ===== jtop <code> sudo -H pip install -U jetson-stats </code> check CUDA <code> cd /usr/local/cuda-10.0/samples/1_Utilities/deviceQuery sudo make ./deviceQuery cd /usr/local/cuda-10.0/samples/1_Utilities/bandwidthTest/ sudo make ./bandwidthTest </code> <code> Device 0: "NVIDIA Tegra X1" CUDA Driver Version / Runtime Version 10.0 / 10.0 CUDA Capability Major/Minor version number: 5.3 Total amount of global memory: 3957 MBytes (4148756480 bytes) ( 1) Multiprocessors, (128) CUDA Cores/MP: 128 CUDA Cores GPU Max Clock rate: 922 MHz (0.92 GHz) </code> ===== python 3.8 ===== <code> sudo apt install libssl-dev zlib1g-dev libncurses5-dev libncursesw5-dev libreadline-dev libsqlite3-dev sudo apt install libgdbm-dev libdb5.3-dev libbz2-dev libexpat1-dev liblzma-dev libffi-dev uuid-dev </code> <code> wget https://www.python.org/ftp/python/3.8.0/Python-3.8.0b3.tgz tar zxvf Python-3.8.0b3.tgz cd Python-3.8.0b3 CFLAGS=-DOPENSSL_NO_SSL2 ./configure --prefix=/opt/python3.8 \ --enable-optimizations \ --with-lto make -j3 PROFILE_TASK="-m test.regrtest --pgo test_array test_base64 test_binascii test_binhex test_binop test_c_locale_coercion test_csv test_json test_hashlib test_unicode test_codecs test_traceback test_decimal test_math test_compile test_threading test_time test_fstring test_re test_float test_class test_cmath test_complex test_iter test_struct test_slice test_set test_dict test_long test_bytes test_memoryview test_io test_pickle" sudo make install </code> ===== numpy ===== Patch to numpy/random/mt19937.c numpy/random/bit_generator.c numpy/random/generator.c <code> from PyCode_New(a, 0, k, l, s, f, code, c, n, v, fv, cell, fn, name, fline, lnos) to PyCode_New(a, k, l, s, f, code, c, n, v, fv, cell, fn, name, fline, lnos) </code> ===== opencv 4.1 ===== * http://docs.donkeycar.com/guide/robot_sbc/setup_jetson_nano/ * https://devtalk.nvidia.com/default/topic/1056594/jetson-nano-opencv-4-1-0/?offset=9 <code> apt remove -y libopencv libopencv-dev libopencv-python libopencv-samples apt install -y python3.7-dev python3.7-venv curl apt install -y libv4l-dev v4l-utils qv4l2 v4l2ucp apt install -y build-essential cmake git libgtk2.0-dev pkg-config libavcodec-dev libavformat-dev libswscale-dev apt install -y libgstreamer1.0-dev libgstreamer-plugins-base1.0-dev </code> add swap to compile opencv <code> fallocate -l 6G /mnt/6GB.swap mkswap /mnt/6GB.swap swapon /mnt/6GB.swap swapon -s </code> <code> RELEASE=4.1.1 cd ~/ curl -L https://github.com/opencv/opencv/archive/${RELEASE}.zip -o opencv-${RELEASE}.zip curl -L https://github.com/opencv/opencv_contrib/archive/${RELEASE}.zip -o opencv_contrib-${RELEASE}.zip unzip opencv-${RELEASE}.zip unzip opencv_contrib-${RELEASE}.zip cd opencv-${RELEASE}/ mkdir release cd release/ cmake -D WITH_CUDA=ON -D CUDA_ARCH_BIN="5.3" -D CUDA_ARCH_PTX="" -D OPENCV_EXTRA_MODULES_PATH=../../opencv_contrib-${RELEASE}/modules -D WITH_GSTREAMER=ON -D WITH_LIBV4L=ON -D BUILD_opencv_python2=OFF -D BUILD_opencv_python3=ON -D BUILD_TESTS=OFF -D BUILD_PERF_TESTS=OFF -D BUILD_EXAMPLES=OFF -D CMAKE_BUILD_TYPE=RELEASE -D CMAKE_INSTALL_PREFIX=/usr/local -D PYTHON_EXECUTABLE=/usr/bin/python3.7 -D PYTHON_DEFAULT_EXECUTABLE=/usr/bin/python3.7 -D BUILD_DOCS=OFF -DENABLE_PRECOMPILED_HEADERS=OFF .. make -j3 </code> install <code> sudo make install/strip sudo ldconfig </code> da perfezionare... <code> cp /usr/local/lib/python3.7/site-packages/cv2/python-3.7/cv2.cpython-37m-aarch64-linux-gnu.so lib/lib/python3.7/site-packages/ </code> ===== benchmarks ===== * **darknet** alexey **20FPS** with YOLOV3-tiny and image size 416 <code> cd /lab/dnn/models/plates-tiny darknet detector demo model.data model.test.cfg backup/model_final.weights /lab/dnn/dataset/dataset/marocco/originals/video/01.mkv -dont_show </code> * yolo34py **12FPS** <code> python process_video.py --model plates-tiny dataset/dataset/marocco/originals/video/01.mkv </code> projects/internetofthings/jetsonnano.txt Last modified: 2023/11/16 08:39by sscipioni