Install the ZED Python API

This section explains how to use the ZED SDK in Python 3 on Windows and Linux platforms.

Getting Started

The Python API is a wrapper around the ZED SDK which is written in C++ optimized code. We make the ZED SDK accessible from external Python code using Cython.

To start using the ZED SDK in Python, you will need to install the following dependencies on your system:

  • ZED SDK (see Installation section)
  • Python 3.5+ (x64)
  • Cython 0.26+
  • Numpy 1.13+
  • OpenCV Python (optional)
  • PyOpenGL (optional)

Make sure to install Python (x64 version) and the pip package manager. Then install the dependencies via pip in a terminal.

python -m pip install cython numpy opencv-python pyopengl

Installing the Python API

A Python script is available in the ZED SDK installation folder and can automatically detect your platform, CUDA and Python version and download the corresponding pre-compiled Python API package.

Running the install script


The Python install script is located in C:\Program Files (x86)\ZED SDK\.

Make sure you have admin access to run it in the Program Files folder, otherwise, you will have a Permission denied error. You can still copy the file into another location to run it without permissions.


The Python install script is located in /usr/local/zed/.

Run the script:

$ cd "/usr/local/zed/"
$ python

    # The script displays the detected platform versions
    CUDA 10.0
    Platform ubuntu18
    ZED 3.1
    Python 3.7
    # Downloads the whl package
    Downloading python package from ...

    # Gives instruction on how to install the downloaded package
    File saved into pyzed-3.1-cp37-cp37m-linux_x86_64.whl
    To install it run :
      python3 -m pip install pyzed-3.1-cp37-cp37m-linux_x86_64.whl

Now install the downloaded package with pip:

$ python3 -m pip install pyzed-3.1-cp37-cp37m-linux_x86_64.whl

    Processing ./pyzed-3.1-cp37-cp37m-linux_x86_64.whl
    Installing collected packages: pyzed
    Successfully installed pyzed-3.1

That’s it ! The Python API is now installed. To get started, check out our Tutorials and Code Samples.


“Numpy binary incompatiblity”

Traceback (most recent call last):
    File "__init__.pxd", line 918, in init
ValueError: numpy.ufunc size changed, may indicate binary incompatiblity. Expected 216 from C header, got 192 from PyObject

This error usually means numpy isn’t installed. To install it, simply run these commands :

# On Jetson (aarch64) cython needs to be installed first since numpy needs to be compiled.
python3 -m pip install cython
python3 -m pip install numpy