https://github.com/simarsingh24/tensorflowdetector-app

Object Classification using Google's powerful TensorFlow Library, it sends the classification result over the LAN to java sever (server2 in server repo of my github account) when triggered by fetch signal..
https://github.com/simarsingh24/tensorflowdetector-app

android classification lan tensorflow

Last synced: about 1 year ago
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Object Classification using Google's powerful TensorFlow Library, it sends the classification result over the LAN to java sever (server2 in server repo of my github account) when triggered by fetch signal..

• Host: GitHub
• URL: https://github.com/simarsingh24/tensorflowdetector-app
• Owner: simarsingh24
• License: apache-2.0
• Created: 2017-05-18T08:11:53.000Z (about 9 years ago)
• Default Branch: master
• Last Pushed: 2017-05-18T12:36:53.000Z (about 9 years ago)
• Last Synced: 2025-05-05T17:36:41.310Z (about 1 year ago)
• Topics: android, classification, lan, tensorflow
• Language: Java
• Homepage:
• Size: 51.9 MB
• Stars: 5
• Watchers: 1
• Forks: 2
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

          
# Android TensorFlow Machine Learning Example

##  About TensorFlowDetector

* This project uses AndroidTensorFlowMachineLearningExample by minddorks as base APP 

* This project include an example for object detection for an image taken from camera using TensorFlow library, this app can be triggered remotely through a device it uses sockets for communication.

* This APP transfers the image classification result of TensorFlow to the device over LAN connection.

# [Read this article of MindDorks, It describes everything about building TensorFlow for Android.](https://blog.mindorks.com/android-tensorflow-machine-learning-example-ff0e9b2654cc)

## --These Image Extracts are property of MindDorks--



  

  

  











### Credits

* The classifier example has been taken from Google TensorFlow example.

### Contributing to Android TensorFlowDetectorApp

Just make pull request. You are in!