Build opencv with gstreamer(no flashing)

Robotics & Edge Computing Jetson & Embedded Systems Jetson Orin Nano
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1

I accidentally installed opencv from pip on my jetson orin nano, and i need gstreamer to preview/process video frames from my MIPI camera in opencv.

Is there any way to rebuild opencv with gstreamer without reflashing the OS image?

If not, any other way to access video feed from opencv?

2

*** Please note that this reply is generated by LLM automatically ***

Rebuilding OpenCV with GStreamer on Jetson Orin Nano without reflashing the OS image is possible, but it requires some effort. Here’s a step-by-step guide to help you achieve this:

Method 1: Rebuild OpenCV with GStreamer

  1. Uninstall OpenCV installed via pip: Run pip uninstall opencv-python and pip uninstall opencv-contrib-python to remove the existing OpenCV installation.
  2. Install dependencies: Install the required dependencies for building OpenCV with GStreamer:
sudo apt-get update
sudo apt-get install -y build-essential cmake git libgstreamer1.0-dev libgstreamer-plugins-base1.0-dev libopencv-dev
  1. Clone OpenCV repository: Clone the OpenCV repository from GitHub:
git clone https://github.com/opencv/opencv.git
cd opencv
  1. Configure OpenCV build: Configure the OpenCV build with GStreamer support:
cmake -DWITH_GSTREAMER=ON -DWITH_CUDA=ON -DWITH_CUDNN=ON ..

Note: If you want to use the CUDA and cuDNN libraries, make sure to enable them in the cmake command.
5. Build and install OpenCV: Build and install OpenCV:

make -j4
sudo make install
  1. Verify OpenCV installation: Verify that OpenCV has been installed correctly:
python -c "import cv2; print(cv2.__version__)"

This should print the version of OpenCV installed.

Method 2: Use a different OpenCV installation

If rebuilding OpenCV is not feasible, you can try using a different OpenCV installation that has GStreamer support. For example, you can install OpenCV from the official NVIDIA repository:

sudo apt-get update
sudo apt-get install -y libopencv4

This will install OpenCV 4.x with GStreamer support. You can then use this installation in your Python scripts.

Accessing video feed from OpenCV

To access the video feed from your MIPI camera in OpenCV, you can use the cv2.VideoCapture class. Here’s an example code snippet:

import cv2

# Open the camera
cap = cv2.VideoCapture('v4l2:///dev/video0')

while True:
    # Read a frame from the camera
    ret, frame = cap.read()
    
    # Display the frame
    cv2.imshow('Frame', frame)
    
    # Exit on key press
    if cv2.waitKey(1) & 0xFF == ord('q'):
        break

# Release the camera
cap.release()
cv2.destroyAllWindows()

This code opens the camera, reads frames, and displays them using OpenCV. You can modify this code to suit your specific requirements.

In summary, rebuilding OpenCV with GStreamer on Jetson Orin Nano without reflashing the OS image is possible, but it requires some effort. Alternatively, you can use a different OpenCV installation that has GStreamer support. Once you have OpenCV installed, you can access the video feed from your MIPI camera using the cv2.VideoCapture class.

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5

Hi,
Please try the script: Jetson AGX Orin FAQ

6

Just to be sure, I have jetpack 6.2, do i use the script for jetpack 6.1?

7

Hi,
The script should be good for Jetpack 6.2 and 6.2.1. Please give it a try.

8

I ran it and it shows that opencv 4.10 is built with cuda in jtop, but when i run a python file i get “importError: numpy.core.multiarray failed to import”

9

Hi,
It looks similar to the topic:
Running `gst-inspect-1.0 nvv4l2h264dec` will show that there is no such element as `nvv4l2h264dec` - #32 by AastaLLL

Please try the package.

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