MLKit and ArCore

• mlkit

  5 3,344 4.0 Java

  A collection of sample apps to demonstrate how to use Google's ML Kit APIs on Android and iOS

  

I used ML Kit pos estimation API. I followed New features in ML Kit video and building use cases playlist. I tried to understand googlesamples/mlkit and tensorflow/examples but I barely understand, where the define the processor, and I loos it when it comes to the cameraSource file. eventually I created a runnable application.

• examples

  143 7,763 5.3 Jupyter Notebook

  TensorFlow examples (by tensorflow)

  

I used ML Kit pos estimation API. I followed New features in ML Kit video and building use cases playlist. I tried to understand googlesamples/mlkit and tensorflow/examples but I barely understand, where the define the processor, and I loos it when it comes to the cameraSource file. eventually I created a runnable application.

• InfluxDB

  www.influxdata.com featured

  Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

  

• Ar-Object-Detection

  1 30 10.0 Kotlin

  I built this app using Mlkit along with the TensorFlow Lite model for object detection, Arcore is used to place anchors to the detected objects. It's a good blend of Machine learning and Augmented reality to visualise ML information in a much better way than regular bounding boxes

Based on what I understood from the last part, that the camera deals with bitmaps, and ArCore I don't know how it deal with camera, my knowledge starts from the hit result. So search for two days here and there, I found Kashif-E/Ar-Object-Detection, but as mush I try I cant run it on any model.

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