Skip to content

Linked POE device specifying via IP #341

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
merged 1 commit into from
Aug 11, 2021
Merged

Linked POE device specifying via IP #341

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
10 changes: 8 additions & 2 deletions docs/source/tutorials/multiple.rst
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -44,8 +44,8 @@ Example results for 2x DepthAI on a system:
14442C10D13EABCE00 XLinkDeviceState.X_LINK_UNBOOTED
14442C1071659ACD00 XLinkDeviceState.X_LINK_UNBOOTED

Selecting a Specific DepthAI device to be used.
###############################################
Selecting a Specific DepthAI device to be used
##############################################

From the Detected devices(s) above, use the following code to select the device you would like to use with your pipeline.
For example, if the first device is desirable from above use the following code:
Expand All @@ -66,6 +66,12 @@ You can then use the `device_info` to specify on which device you want to run yo
And you can use this code as a basis for your own use cases, such that you can run differing neural models
on different DepthAI/uAI models.

Specifying POE device to be used
********************************

You can specify the POE device to be used by the IP address as well. Here's the `code snippet <https://docs.luxonis.com/en/latest/pages/tutorials/getting-started-with-poe/#manually-specify-device-ip>`__.


Now use as many DepthAI devices as you need!

And since DepthAI does all the heavy lifting, you can usually use quite a
Expand Down