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videostream on Raspberry.md

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videostream on raspberry Pi

  • As of the start of 2022 - Raspberry Pi's "go forward" release is based on Debian Bullseye. This includes a new set of libraries (libcamera) for embedded cameras.
  • opencv is a general purpose set of libraries used with python for connecting to and managing cameras.
  • opencv supported previous releases of Raspberry Pi (buster and earlier).
  • libcamera is being actively developed and is not yet fully supported by opencv.

For these reasons - videostream supports two methods - one using opencv the other using libcamera.

Before trying videostream it is HIGHLY recommended consulting these notes and performing the Resolution Testing.

https://github.com/stuartofmt/Pi-Notes

Selecting method

The methods are automatically selected based on the options used to start videostream.

The option -pires selects the method.

  • If -pires is not specified, opencv method is used.
  • If -pires is specified libcamera method is used

The general guidance on which method to use described below.

Raspberry Pi on Buster and Earlier

Use the opencv method. For example:

python3 ./videostream.py -port 8082 -rotate 180 -size 5 2>/dev/null

Raspberry Pi on Bullseye and later

The libcamera method is recommended (invoked because of the use of -pires)

For example:

python3 ./videostream.py -port 8082 -camera 0 -rotate 180 -debug  -pires "--width 800 --height 600"`

It is POSSIBLE to use the opencv method but results are currently (early 2022) quite variable. To use the opencv method requires invoking python and videostream using the libcamerify command.

For example:

libcamerify python3 ./videostream.py -port 8082 -camera 0 -rotate 180 -debug  -pires "--width 800 --height 600"`