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I am a bit confused at the documentation for addAbsolutePose(): https://spectacularai.github.io/docs/sdk/wrappers/oak.html#spectacularAI.depthai.Session.addAbsolutePose

It takes in a Pose object, 3x3 matrix, and a float value. What should each of these 3 arguments be?

May I get the spectacularAI_native source code? I want to try some new vislam algorithms based on your framework. Thank u very much!!

I was trying to access the color property in a spectacularAI.depthai.Pipeline instance and I get Unable to convert function return value to a Python type! error on the 1.5.0 release from PIP on python 3.9.5 x64

Hello,
I'm trying to use sai-cli process with data from Android phone generated with SpectacutalAI app, but in any case it returned
'SpectacularAI ERROR: x:441
Abandon (core dumped)'

I have activated my nerfstudio conda environment nerfstudio is working well, and i have done pip install spectacularAI[full]

I can't find anywhere anything that help me

I tried this on 3 different machines on :
Laptop i7-8850 RAM 32GB + Quadro P3200 6 GB (windows)
Desktop AMD FX6200 RAM 16GB + RTX3060 12GB (windows)
Server Xeon(R) W-2245 RAM 128GB + 2x RTX6000 24GB (linux)

What can i do ?

How can I install the Spectacular AI SDK on the Jetson Nano? On PyPI there are only files available for x86.

Hello,

I have this error loading ros2 launch launch/mapping.py from ros2-integration2

[ros2_node-1] ... spectacularAI_ros2/install/spectacularai_depthai/lib/python3.8/site-packages/spectacularai_depthai/ros2_node.py", line 130, in init
[ros2_node-1] self.vio_pipeline.ext.rae.front.colorLeft.setFps(fps)
[ros2_node-1] AttributeError: 'spectacularAI.depthai.Pipeline' object has no attribute 'ext'

    fps = 15 # 20 Would be better but is slower.
    self.vio_pipeline.ext.rae.front.colorLeft.setFps(fps)
    self.vio_pipeline.ext.rae.front.colorRight.setFps(fps)

I run with
Python 3.8.10
spectacularAI 1.21.0
depthai 2.22.0.0
numpy 1.24.4

Best regards

Hello Spectacular AI Team,
I have an Oak-D Pro (which is basically an Oak-D S2 with an IR dot projector) and I am trying to use the RGB camera for Feature-Tracking.
The monochrome results are not usable. So Feature-Tracking with color-reference is needed.

If I use:

config = spectacularAI.depthai.Configuration()
config.useFeatureTracker = True
config.useColor = True

I get this Warning:

SpectacularAI WARN: Unsupported image format RGB888i
SpectacularAI ERROR: Cannot convert image to Spectacular AI format

Trying to change the Format for example with:

rgb_camera = pipeline.create(depthai.node.ColorCamera)
rgb_camera.setInterleaved(False)
rgb_camera.setColorOrder(depthai.ColorCameraProperties.ColorOrder.BGR)

...doesn't help because it seems that you create internally a depthai.node.ColorCamera instance.

Because I get this exception:

ColorCamera(3) - Specified camera board socket already used.

Is there anything I can do to get the RGB camera working with Feature-Tracking.

Also, I'd like to ask which is the lowest usable voxel-size? Thank you for your efforts!

Greetings to Finnland