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OpenCV va Python 3.5: 4 bosqichlari yordamida Dragonboard410c yoki Dragonboard820c uchun kengaytirilgan haqiqat (AR)
OpenCV va Python 3.5: 4 bosqichlari yordamida Dragonboard410c yoki Dragonboard820c uchun kengaytirilgan haqiqat (AR)

Video: OpenCV va Python 3.5: 4 bosqichlari yordamida Dragonboard410c yoki Dragonboard820c uchun kengaytirilgan haqiqat (AR)

Video: OpenCV va Python 3.5: 4 bosqichlari yordamida Dragonboard410c yoki Dragonboard820c uchun kengaytirilgan haqiqat (AR)
Video: LEARN OPENCV in 3 HOURS with Python | Including 3xProjects | Computer Vision 2024, Iyul
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OpenCV va Python 3.5 yordamida Dragonboard410c yoki Dragonboard820c uchun kengaytirilgan haqiqat (AR)
OpenCV va Python 3.5 yordamida Dragonboard410c yoki Dragonboard820c uchun kengaytirilgan haqiqat (AR)

Bu ko'rsatmalarda kengaytirilgan reallik dasturini ishga tushirish uchun OpenCV, Python 3.5 va Python 3.5 uchun bog'liqliklar qanday o'rnatilishi tasvirlangan.

1 -qadam: talablar

Sizga quyidagi belgilar kerak bo'ladi:

Dragonboard 410c yoki 820c;

Linaro-alip/developer-ning toza o'rnatilishi;

DB410c: v431.link versiyasida sinovdan o'tgan

snapshots.linaro.org/96boards/dragonboard4..

DB820c: v228.link versiyasida sinovdan o'tgan

snapshots.linaro.org/96boards/dragonboard8..

Kamida 16 Gb sig'imli MicroSD karta (agar Dragonboard 410c ishlatilsa);

Faylni yuklab oling (bu bosqich oxirida), oching va MicroSD kartasiga nusxa oling;

Obs: Agar Dragonboard 820c dan foydalansangiz, faylni yuklab oling, oching va buyruqlardan foydalanishni osonlashtirish uchun/home/*USER*/ga o'ting;

  • USB uyasi;
  • USB sichqoncha va klaviatura;
  • Internetga ulanish.

2 -qadam: MicroSD kartasini o'rnatish (faqat W/ Dragonboard410c)

Dragonboard -da terminalni oching;

  • Terminalda fdiskni ishga tushiring:

$ sudo fdisk -l

  • MicroSD kartasini DragonBoard MicroSD karta uyasiga joylashtiring;
  • Ro'yxatdagi yangi qurilmaning nomini (va bo'limini) qidirib, fdisk -ni qayta ishga tushiring:

$ sudo fdisk -l

Ildiz katalogiga o'ting:

$ CD ~

Jild yaratish:

$ mkdir sdfolder

MicroSD kartasini o'rnating:

mount /dev /sd_card_partition_name sdfolder

3 -qadam: Kerakli ramkalarni o'rnatish

Dragonboard -da terminalni oching;

Terminalda tanlangan katalogga o'ting (820c uchun "~" va 410c uchun o'rnatilgan SDCard yordamida):

(820c) $ CD

(410c) $ cd ~/sdfolder

Zram.sh skriptini ishga tushiring:

$ sudo bash augmented_reality/skriptlar/zram.sh

Tizimni yangilash:

sudo apt update && sudo apt upgrade

Ushbu paketlarni o'rnating:

sudo apt install -y debootstrap schroot git curl pkg-config zip unzip python python-pip g ++ zlib1g-dev openjdk-8-jdk libhdf5-dev libatlas-base-dev gfortran v4l-utils hdf5* libhdf5* libpng-dev build-muhim cmake libreadline-gplv2-dev libncursesw5-dev libssl-dev libsqlite3-dev tk-dev libgdbm-dev libc6-dev libbz2-dev libjpeg-dev libtiff5-dev libavcodec-dev libavformat-dev libsvscl-dev-libvxv2 libgtk2.0-dev libgtk-3-dev

Ushbu katalogga o'ting:

$ cd /usr /src

Python 3.5 -ni yuklab oling:

sudo wget

Paketni chiqarib oling:

$ sudo tar xzf Python-3.5.6.tgz

Siqilgan paketni o'chirib tashlang:

$ sudo rm Python-3.5.6.tgz

Python 3.5 katalogiga o'ting:

$ CD Python-3.5.6

Python 3.5 kompilyatsiyasi uchun optimallashtirishni yoqing:

$ sudo./configure-faollashtirish-optimallashtirish

Python 3.5 ni kompilyatsiya qiling:

$ sudo altinstall qiling

Pip va sozlash vositalarini yangilang:

$ sudo python3.5 -m pip o'rnatish -pip && python3.5 -m pip o'rnatish -setuptools -ni yangilash

Numpy -ni o'rnating:

$ python3.5 -m pip o'rnatish numpy

Tanlangan katalogga o'ting:

(820c) $ CD ~

(410c) $ cd ~/sdfolder

OpenCV va OpenCV Contrib omborlarini klonlang:

$ sudo git clone -b 3.4 https://github.com/opencv/opencv.git && sudo git clone -b 3.4

Katalogga o'ting:

$ CD ochiq

Qurilish katalogini yarating va unga o'ting:

$ sudo mkdir build && cd build

CMake -ni ishga tushiring:

$ sudo cmake -D CMAKE_BUILD_TYPE = RELEASE -D CMAKE_INSTALL_PREFIX =/usr/local -D BUILD_opencv_java = OFF -D BUILD_opencv_python = OFF -D BUILD_opencv_python3 = qaysi python3.5) -D PYTHON_INCLUDE_DIR =/usr/local/include/python3.5m/-D INSTALL_C_EXAMPLES = O'chirilgan -D INSTALL_PYTHON3_EXAMPLES = O'chirilgan -D BUILD_EXAMPLES = O'CHIRILGAN -BU -OFF = VT -BU -OFF = -DBUILD_TBB = ON -D OPENCV_ENABLE_NONFREE = ON -DBUILD_opencv_xfeatures2d = O'chirilgan -D OPENGL = ON -D OPENMP = ON -D ENABLE_NEON = ON -D BUILD_PERF_TESTS = O'chirilgan/ochilgan/ochilgan/ochilgan.

OpenCV -ni 4 yadroli kompilyatsiya qiling:

$ sudo make -j 4

OpenCV -ni o'rnating:

$ sudo make install

Tanlangan katalogga o'ting:

(820c) $ CD ~

(410c) $ cd ~/sdfolder

  • Python3.5 talablarini o'rnating:

$ sudo python3.5 -m pip install -r requirements.txt --no -cache -dir

Sinov importi:

python3.5

> cv2 import >> kolbani import qilish

4 -qadam: AR dasturini ishga tushirish

AR ilovasini ishga tushirish
AR ilovasini ishga tushirish

Tanlangan katalogga o'ting:

(820c) $ CD

(410c) $ cd ~/sdfolder

Kengaytirilgan haqiqat katalogiga o'ting:

$ cd augmented_reality/

Ilovani ishga tushiring:

$ python3.5 app.py

Obs: Endi USB kamerasini ulang va IP -manzili va porti bo'lgan brauzer yordamida oching (masalan, 192.168.1.1:5000), mos yozuvlar papkasida saqlangan modelni chop eting va yuqoridagi rasm kabi veb -kamera oldiga qo'ying. Manba kodini buzish, 92-qatorga o'tish va video yozish buyrug'idan oldin nomini o'zgartirish orqali hayvonni o'zgartirish mumkin: mavjud sigir, tulki, qaroqchi-kema-semiz, kalamush va bo'ri. Malumot papkasidagi rasmni o'zgartirib, mos yozuvlar tasvirini o'zgartirish mumkin.

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