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OpenCV for Python 3.8.0 ​

OpenCV docker images ​

HEY! 👋

I've made a docker container with opencv 4.8.0 ready to use! Check it out.
If you don't want to use docker, keep reading.

OpenCV 4.8.0 installation ​

Required time: 25 min

Pre-requisites ​

INFO

I'm going start from a new fresh Jetpack.

Python 3.8.0

To install python 3.8.0 for l4t32.7.1 follow these steps, once done, come back here.

Install OpenCV from package ​

  1. You need to install runtime dependencies:

    bash
    sudo apt-get update && sudo apt-get upgrade
    bash
    sudo apt-get install -y  \
    libtesseract4 \
    libatlas3-base \
    python3-pip \
    python3.8 \
    python3.8-dev
    bash
     sudo apt-get clean

  2. We need to pin some python dependencies:

    bash
    python3.8 -m pip install pybind11 Cython==0.29.36 setuptools==49.6.0

    WARNING

    I'm doing python3.8 -m pip install ... because I've not made a virtual environment (this time) which would have only one python version.

    Instead, I run pip install specifying the python version in order to be sure that the packages I'm installing are installed for the correct python version.

  3. Now install numpy:

    bash
    python3.8 -m pip install numpy==1.19.4

  4. Download the pre-built .sh installer from here: OpenCV-4.8.0-aarch64.sh, or download it using wget:

    bash
    wget https://github.com/lanzani/jetson-libraries/raw/main/libraries/opencv/l4t32.7.1/py3.8.0/ocv4.8.0/OpenCV-4.8.0-aarch64.sh

  5. Give execution privileges:

    bash
     chmod +x OpenCV-4.8.0-aarch64.sh

  6. To install OpenCV run:

    bash
    sudo ./OpenCV-4.8.0-aarch64.sh --prefix=/usr/local --skip-license --exclude-subdir

    This will install opencv in your system.

  7. Last step: specify the right pythonpath. To do that permanently you need to open .bashrc:

    bash
    nano .bashrc

    and then add the following line at the bottom of the file:

    bash
    # enable programmable completion features (you don't need to enable
# this, if it's already enabled in /etc/bash.bashrc and /etc/profile
# sources /etc/bash.bashrc).
if ! shopt -oq posix; then
  if [ -f /usr/share/bash-completion/bash_completion ]; then
    . /usr/share/bash-completion/bash_completion
  elif [ -f /etc/bash_completion ]; then
    . /etc/bash_completion
  fi
fi

export PYTHONPATH=/usr/local/lib/python3.6/site-packages:$PYTHONPATH

  8. Close the terminal and open another one

  9. To check if the installation went good you can type:

    bash
    opencv_version

    The output should be the opencv version you desired.

    WARNING

    If you got some error, you may miss some runtime dependencies, to solve that, go to the section below.

  10. To check if python has the right opencv version in the scope and to see the build details you can run:

    bash
    python3 -c "import cv2; print('OpenCV version:', str(cv2.__version__)); print(cv2.getBuildInformation())"

  11. To be sure that opencv is properly using cuda (and the gpu) try to run one of these python scripts.

Congratulations! You now have OpenCV 4.8.0 🎉

If you are encountering some problems feel free to open an issue.

Check for missing runtime dependencies ​

If you got some error when importing cv2 in python or executing opencv_version, you may miss some dependencies. To find those follow the steps:

Go to the opencv installation folder:

bash
cd /usr/local/lib/python3.8/site-packages/cv2/python-3.8/

Find missing dynamic dependencies:

bash
ldd cv2.cpython-38m-aarch64-linux-gnu.so | grep found

Proceed to install the missing dependencies with sudo apt-get install ...

Build from source ​

Great video by JetsonHacks.