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QUESTION
I am currently using android-demo-app/ObjectDetection/ On Temi Robot, the preloaded images are working so far but when I press "live" to go to live object detection screen, it is rotated 90 degrees to the right.
Temi robot only have a front facing camera on the same side of the screen.
I have tried changing textureView.setTransform()
imageAnalysisConfig.Builder().setTargetRotation()
imageAnalysis.setTargetRotation()
but to no avail
Also tried changing AndroidManifest.xml
screenOrientation
under activity
tag to fullSenor
or Landscape
but nothing changed.
I have been looking up and down on the Android Developer CameraX page for an answer first link second link but I can't find any. Maybe I am not smart enough to find the solution here.
Any help is much appreciated!
AbstactCameraXActivity.java
...ANSWER
Answered 2021-Jul-02 at 07:51I have changed the cameraX version to 1.0.0 from 1.0.0-alpha5
QUESTION
I want to use this model in my android app. But when I start the app it falls with an error. The model works fine on my PC.
To ReproduceSteps to reproduce the behavior:
- Clone repository and use instructions in readme to run the model.
- Add code below to save the model
ANSWER
Answered 2020-Jun-29 at 21:34My pc PyTorch version was 1.5 and in dependences were 1.4. So solution is:
QUESTION
I need to add some aeronautical layers taken from FAA to the map. The layers are provided as GeoTIFF files.
Steps- Downloaded a GeoTiff file from FAA website.
- Using QGis app clipped the legend from the file. Actually the issue occurs without this step as well.
- Reprojected it to
EPSG:3857
using GDAL commandgdalwarp -q -t_srs EPSG:3857 -dstalpha -of vrt Albuquerque\ SEC\ 104-cut.tif /vsistdout/ | gdal_translate -co compress=lzw /vsistdin/ Albuquerque\ SEC\ 104-north-up-cut.tif
. Otherwise I gotError creating Mapnik Datasource: Invalid raster: Invalid rotation value in geotransform array
when uploading to Mapbox. - Created a Tileset by uploading GeoTIFFs to Mapbox.
- Created a new style in the Mapbox Studio.
- Added the tilesets as layers.
The map is showing well in Mapbox Studio:
Android ResultHowever in Android app this style shows with some black borders of random width depending on zoom level and camera position. Here is how it looks in android:
I tried it on Pixel 3a (Android 10), Nexus 5x (Android 8.1) and Android emulator (Android 10). I have good internet connection and gave it enough time so the tiles are loaded.
The source code where the map is embedded is official Demo app. I just replaced token and style URL:
...ANSWER
Answered 2020-May-28 at 14:11The black borders should be transparent, but the raster image format Mapbox is using (JPG) does not support transparency, which is a known issue that exists in every gl-native-based SDK. This issue presents itself when you reference a style that has the raster layer built in.
As a workaround, you can follow Mapbox's troubleshooting guide on troubleshooting raster images with black backgrounds to make your tileset transparent and then add the tileset as a RasterSource
within your Android application to display the raster tile as expected.
Please take a look at the following example as a reference for adding a RasterSource:
Instead of calling the rasterSource using "mapbox://username.tilesetID", you need to call it similarly to the Add a WMS Source example. The code below will resolve your issue:
style.addSource(RasterSource( "albuquerque-source", TileSet( "tileset", "https://api.mapbox.com/v4//{z}/{x}/{y}.png?access_token=" ), 256 ))
QUESTION
I am attempting to use a new NLP model within the PyTorch android demo app Demo App Git however I am struggling to serialize the model so that it works with Android.
The demonstration given by PyTorch is as follows for a Resnet model:
...ANSWER
Answered 2020-May-21 at 03:40I worked out how to do this after a while. The issue was that the Fastai model wasn't tracing correctly no matter what shape of input I was using.
In the end, I used another text classification model and got it to work. I wrote a tutorial about how I did it, in case it can help anyone else.
Begin by opening a new Jupyter Python Notebook using your preferred cloud machine provider (I use Paperspace).
Next, copy and run the code in the PyTorch Text Classification tutorial. But replace the line…
QUESTION
I have recently started learning to build android apps, and I am trying to follow the instructions from the Pytorch website, which says:
...ANSWER
Answered 2020-Apr-12 at 14:16QUESTION
Hello i am "Location picker, I want to get location with. I did and it happened according to the link below.
https://github.com/prensmiskin/fff/blob/master/one
But I want to use the "Location picker" structure in a class extended by fragment. But I get an error.
The above code works, but I get an error when I make it in a class that is extent by fragment.
I get an error when I do as follows.
https://github.com/prensmiskin/fff/blob/master/two
Errors I Received
...ANSWER
Answered 2020-Mar-24 at 15:22QUESTION
Is there any code for converting audio (wav file) to text using Kaldi or librosa. I have used vosk library in Ubuntu by extracting build-in model from https://github.com/alphacep/kaldi-android-demo/releases but I want the proper way in Windows using Kaldi/Librosa and my own model for the same.
...ANSWER
Answered 2020-Feb-26 at 15:20On Windows you can install vosk from this repo:
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