Hi DepthAI Backers!
Thanks again for all the continued support and interest in the platform.
So we’ve been hard at work adding a TON of DepthAI functionalities. You can track a lot of the progress in the following Github projects:
|Gen2||2021 Efforts: (Some are even already in progress)||https://github.com/orgs/luxonis/projects/4|
As you can see, there are a TON of features we have released since the last update. Let’s highlight a few below:
We have the calibration stage working now. And future DepthAI builds (after this writing) are actually having RGB-right calibration performed. An example with semantic segmentation is shown below:
right grayscale camera is shown on the right and the RGB is shown on the left. You can see the cameras are slightly different aspect ratios and fields of view, but the semantic segmentation is still properly applied. More details on this, and to track progress, see our Github issue on this feature.
DepthAI now supports subpixel. To try it out yourself, use the example here. And see below for my quickly using this at my desk:
We also now allow performing depth estimation from images sent from the host. This is very convenient for test/validation - as stored images can be used. And along with this, we now support outputting the rectified-left and rectified-right, so they can be stored and later used with DepthAI’s depth engine in various CV pipelines.
See here on how to do this with your DepthAI model. And see some examples below from the MiddleBury stereo dataset:
For the bad looking areas, these are caused by the objects being too close to the camera for the given baseline, exceeding the 96 pixels max distance for disparity matching (StereoDepth engine constraint):
These areas will be improved with
extended = True, however Extended Disparity and Subpixel cannot operate both at the same time.
We also added the capability (and examples on how to use) manual focus, exposure, and sensitivity controls. See here for how to use these controls.
Here is an example of increasing the exposure time:
And here is setting it quite low:
It’s actually fairly remarkable how well the neural network still detects me as a person even when the image is this dark.
We mentioned in our last update (here), we mentioned that we were making a pure-embedded DepthAI.
We made it. Here’s the initial concept:
And here it is working!
And here it is on a wrist to give a reference of its size:
And eProsima even got microROS running on this with DepthAI, exporting results over Wi-Fi back to RViz:
We’re quite excited about this one. We’re fairly close to ordering it. Some initial views in Altium below:
There’s a bunch more, but we’ll leave you with our recent interview with Chris Gammel at the Amp Hour!
Cheers, Brandon & The Luxonis Team
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