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Install python and opencv on the raspberry

Setup Conda and Python and opencv

Setup venv

python -m venv ocv2-env
ocv2-env/bin/pip install opencv-python 

Try python script

import cv2

# Open the default camera
cam = cv2.VideoCapture(0)

# Get the default frame width and height
frame_width = int(cam.get(cv2.CAP_PROP_FRAME_WIDTH))
frame_height = int(cam.get(cv2.CAP_PROP_FRAME_HEIGHT))

# Define the codec and create VideoWriter object
fourcc = cv2.VideoWriter_fourcc(*'mp4v')
out = cv2.VideoWriter('output.mp4', fourcc, 20.0, (frame_width, frame_height))

while True:
    ret, frame = cam.read()

    # Write the frame to the output file
    out.write(frame)

    # Display the captured frame
    cv2.imshow('Camera', frame)

    # Press 'q' to exit the loop
    if cv2.waitKey(1) == ord('q'):
        break

# Release the capture and writer objects
cam.release()
out.release()
cv2.destroyAllWindows()

Add Wayland

export QT_QPA_PLATFORM=xcb

Test

alias py='~/ocv2-env/bin/python'
py record4.py

 

python -m venv ocv2-env

Setup conda 

Did not get opencv working under conda

Download miniforge 

/proc/cpuinfo | grep Model

Wget the installer (take 64 bit, ARM)

wget https://github.com/conda-forge/miniforge/releases/latest/download/Miniforge3-Linux-aarch64.sh

Run the installer

bash Miniforge3-Linux-aarch64.sh

Test the installation

miniforge3/condabin/conda --version

Add to path

Add export PATH=$PATH:~/miniforge3/condabin to ~/.bashrc
Reload .bashrc
 

Setup conda 

conda env list
conda create -n ocv
conda init
Restart conda shell  
conda activate ocv
conda install -c conda-forge descartes folium plotly_express opencv IPython moviepy
conda init
Verify python 
python --version

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