Hi Erwin,
We don’t have anything to handle byte buffers directly. You would need to copy out the bytes to an array and then create a CompoundByteDataset (shape = [rows, columns], elements per item = 4) from that.
If you want to wrap a ByteBuffer as an IDataset to handle the slicing, then I could help you with the indexing calculations.
Peter
From: january-dev-bounces@xxxxxxxxxxx <january-dev-bounces@xxxxxxxxxxx>
On Behalf Of erwindl0@xxxxxxxxx
Sent: 25 June 2019 09:23
To: january-dev@xxxxxxxxxxx
Subject: [january-dev] January usage on Android?
Hi January team,
For an Android app we need to do some "simple" image processing to manipulate the camera video stream, which is really a sequence of RGBA frames.
It appears that the Android "virtual display ImageReader" offers the video stream as a bytebuffer on which a kind of "shape" can be defined in a similar way as January represents its DataSets if I remember correctly.
One particular case is where certain mobile devices appear to pass more "pixels" than the actual camera resolution.
I.e. they add a black area to the right in the camera image for some unimaginable reason, so we want to remove that.
I think we could use January slicing for that.
So the question is, would January Dataset construction (from a bytebuffer) and slicing be useable in an Android app?
thanks
erwin
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