Resources for Android + Tensorflow

1. A. Harp using Android + Tensorflow for separately Object identification, Object localization, etc. - https://github.com/tensorflow/tensorflow/tree/master/tensorflow/examples/android. Contains:
   

1. TF Classify: Uses the Google Inception model to classify camera frames in real-time, displaying the top results in an overlay on the camera image.
2. TF Detect: Demonstrates an SSD-Mobilenet model trained using the Tensorflow Object Detection API introduced in Speed/accuracy trade-offs for modern convolutional object detectors to localize and track objects (from 80 categories) in the camera preview in real-time.
3. TF Stylize: Uses a model based on A Learned Representation For Artistic Style to restyle the camera preview image to that of a number of different artists.
4. TF Speech: Runs a simple speech recognition model built by the audio training tutorial. Listens for a small set of words, and highlights them in the UI when they are recognized.




 

Extension of #1 - blog on Android + Tensorflow for Image Recognition- using YOLO (you only look once)- https://blog.mindorks.com/detection-on-android-using-tensorflow-a3f6fe423349

 

Not Android specific but, about Object Detection API https://towardsdatascience.com/is-google-tensorflow-object-detection-api-the-easiest-way-to-implement-image-recognition-a8bd1f500ea0 and see also https://research.googleblog.com/2017/06/supercharge-your-computer-vision-models.html

 

 

good setup Android and then retrain a model with your images - http://nilhcem.com/android/custom-tensorflow-classifier