#serviceframework — Public Fediverse posts

I just blogged: Cross-platform spatial QR code tracking for #HoloLens2 and #MagicLeap2 with a #RealityCollective #ServiceFramework Service, part 1 https://localjoost.github.io/Cross-platform-spatial-QR-code-tracking-for-HoloLens-2-and-Magic-Leap-2-with-a-ServiceFramework-Service,-part-1/ #XR #Crossplatform #MixedReality #AR

I just blogged: Cross-platform spatial QR code tracking for #HoloLens2 and #MagicLeap2 with a #RealityCollective #ServiceFramework Service, part 1 https://localjoost.github.io/Cross-platform-spatial-QR-code-tracking-for-HoloLens-2-and-Magic-Leap-2-with-a-ServiceFramework-Service,-part-1/ #XR #Crossplatform #MixedReality #AR

I just blogged: Cross-platform spatial QR code tracking for #HoloLens2 and #MagicLeap2 with a #RealityCollective #ServiceFramework Service, part 1 https://localjoost.github.io/Cross-platform-spatial-QR-code-tracking-for-HoloLens-2-and-Magic-Leap-2-with-a-ServiceFramework-Service,-part-1/ #XR #Crossplatform #MixedReality #AR

I just blogged: Cross-platform spatial QR code tracking for #HoloLens2 and #MagicLeap2 with a #RealityCollective #ServiceFramework Service, part 1 https://localjoost.github.io/Cross-platform-spatial-QR-code-tracking-for-HoloLens-2-and-Magic-Leap-2-with-a-ServiceFramework-Service,-part-1/ #XR #Crossplatform #MixedReality #AR

I just blogged: Cross-platform spatial QR code tracking for #HoloLens2 and #MagicLeap2 with a #RealityCollective #ServiceFramework Service, part 1 https://localjoost.github.io/Cross-platform-spatial-QR-code-tracking-for-HoloLens-2-and-Magic-Leap-2-with-a-ServiceFramework-Service,-part-1/ #XR #Crossplatform #MixedReality #AR

Sometimes you need to know whether or not the user is now actually wearing the device while your app is running. I wrote a little #RealityCollective #ServiceFramework Service to make that easily detectable #MixedReality #HoloLens2

https://localjoost.github.io/Detecting-user-presence-using-MRTK3-gaze-tracking-state/

Sometimes you need to know whether or not the user is now actually wearing the device while your app is running. I wrote a little #RealityCollective #ServiceFramework Service to make that easily detectable #MixedReality #HoloLens2

https://localjoost.github.io/Detecting-user-presence-using-MRTK3-gaze-tracking-state/

Sometimes you need to know whether or not the user is now actually wearing the device while your app is running. I wrote a little #RealityCollective #ServiceFramework Service to make that easily detectable #MixedReality #HoloLens2

https://localjoost.github.io/Detecting-user-presence-using-MRTK3-gaze-tracking-state/

Sometimes you need to know whether or not the user is now actually wearing the device while your app is running. I wrote a little #RealityCollective #ServiceFramework Service to make that easily detectable #MixedReality #HoloLens2

https://localjoost.github.io/Detecting-user-presence-using-MRTK3-gaze-tracking-state/

Sometimes you need to know whether or not the user is now actually wearing the device while your app is running. I wrote a little #RealityCollective #ServiceFramework Service to make that easily detectable #MixedReality #HoloLens2

https://localjoost.github.io/Detecting-user-presence-using-MRTK3-gaze-tracking-state/

When debugging problems after-the-fact, you can always use UnityPlayer.log. On #HoloLens2, that is. On other devices - for instance #MagicLeap2 - that's not available. So I wrote a little #ServiceFramework service to dump #Unity logfiles in a file for an app running on a device. While I was at it, I included filtering on keywords and log type as well.

https://localjoost.github.io/A-cross-platform-Service-Framework-service-to-write-Unity-log-messages-into-files-on-device/

When debugging problems after-the-fact, you can always use UnityPlayer.log. On #HoloLens2, that is. On other devices - for instance #MagicLeap2 - that's not available. So I wrote a little #ServiceFramework service to dump #Unity logfiles in a file for an app running on a device. While I was at it, I included filtering on keywords and log type as well.

https://localjoost.github.io/A-cross-platform-Service-Framework-service-to-write-Unity-log-messages-into-files-on-device/

When debugging problems after-the-fact, you can always use UnityPlayer.log. On #HoloLens2, that is. On other devices - for instance #MagicLeap2 - that's not available. So I wrote a little #ServiceFramework service to dump #Unity logfiles in a file for an app running on a device. While I was at it, I included filtering on keywords and log type as well.

https://localjoost.github.io/A-cross-platform-Service-Framework-service-to-write-Unity-log-messages-into-files-on-device/

When debugging problems after-the-fact, you can always use UnityPlayer.log. On #HoloLens2, that is. On other devices - for instance #MagicLeap2 - that's not available. So I wrote a little #ServiceFramework service to dump #Unity logfiles in a file for an app running on a device. While I was at it, I included filtering on keywords and log type as well.

https://localjoost.github.io/A-cross-platform-Service-Framework-service-to-write-Unity-log-messages-into-files-on-device/

When debugging problems after-the-fact, you can always use UnityPlayer.log. On #HoloLens2, that is. On other devices - for instance #MagicLeap2 - that's not available. So I wrote a little #ServiceFramework service to dump #Unity logfiles in a file for an app running on a device. While I was at it, I included filtering on keywords and log type as well.

https://localjoost.github.io/A-cross-platform-Service-Framework-service-to-write-Unity-log-messages-into-files-on-device/

For my second blogpost of the day ;) one of my more infamous and far-fetched experiments encompasses the combination of #MachineLearning combined with a Spatial Map to recognize and locate objects in 3D space, using a #YoloV8 #computervision model. This worked pretty well on #HoloLens2. I got it to work on #MagicLeap2 as well, but it was quite a rocky road. The #RealityCollective #ServiceFramework to the rescue :). Explanation, sample and full code at: https://localjoost.github.io/Running-a-YoloV8-model-on-a-Magic-Leap-2-to-recognize-objects-in-3D-space/

For my second blogpost of the day ;) one of my more infamous and far-fetched experiments encompasses the combination of #MachineLearning combined with a Spatial Map to recognize and locate objects in 3D space, using a #YoloV8 #computervision model. This worked pretty well on #HoloLens2. I got it to work on #MagicLeap2 as well, but it was quite a rocky road. The #RealityCollective #ServiceFramework to the rescue :). Explanation, sample and full code at: https://localjoost.github.io/Running-a-YoloV8-model-on-a-Magic-Leap-2-to-recognize-objects-in-3D-space/

For my second blogpost of the day ;) one of my more infamous and far-fetched experiments encompasses the combination of #MachineLearning combined with a Spatial Map to recognize and locate objects in 3D space, using a #YoloV8 #computervision model. This worked pretty well on #HoloLens2. I got it to work on #MagicLeap2 as well, but it was quite a rocky road. The #RealityCollective #ServiceFramework to the rescue :). Explanation, sample and full code at: https://localjoost.github.io/Running-a-YoloV8-model-on-a-Magic-Leap-2-to-recognize-objects-in-3D-space/

For my second blogpost of the day ;) one of my more infamous and far-fetched experiments encompasses the combination of #MachineLearning combined with a Spatial Map to recognize and locate objects in 3D space, using a #YoloV8 #computervision model. This worked pretty well on #HoloLens2. I got it to work on #MagicLeap2 as well, but it was quite a rocky road. The #RealityCollective #ServiceFramework to the rescue :). Explanation, sample and full code at: https://localjoost.github.io/Running-a-YoloV8-model-on-a-Magic-Leap-2-to-recognize-objects-in-3D-space/

For my second blogpost of the day ;) one of my more infamous and far-fetched experiments encompasses the combination of #MachineLearning combined with a Spatial Map to recognize and locate objects in 3D space, using a #YoloV8 #computervision model. This worked pretty well on #HoloLens2. I got it to work on #MagicLeap2 as well, but it was quite a rocky road. The #RealityCollective #ServiceFramework to the rescue :). Explanation, sample and full code at: https://localjoost.github.io/Running-a-YoloV8-model-on-a-Magic-Leap-2-to-recognize-objects-in-3D-space/

To my surprise there is no Store for #MagicLeap2. So how do you alert users to new versions and help them update? I made a little #ServiceFramework Service and some #MRTK3 UI to do just that. https://localjoost.github.io/A-ServiceFramework-Service-to-help-update-Magic-Leap-2-MRTK3-apps/