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TF Multi Classifier on Windows Pc

Developed By: edodm85

License: Free

Rating: 5,0/5 - 1 votes

Last Updated: April 18, 2024

Download on Windows PC

Compatible with Windows 10/11 PC & Laptop

App Details

Version 2.3.2
Size 107.1 MB
Release Date December 02, 23
Category Tools Apps

App Permissions:
Allows applications to open network sockets. [see more (8)]

What's New:
v2.3.2- Updated Target API Level- Fixed camera permissionv2.3.0- Updated Tensorflow library- Internal fixes [see more]

Description from Developer:
TF Multi Classifier App uses Tensorflow lite to classify camera frames in real time.
The results are displayed on the top of the screen.

The App supports these processing hardware... [read more]

App preview ([see all 5 screenshots]  /  [view video])

App preview

About this app

On this page you can download TF Multi Classifier and install on Windows PC. TF Multi Classifier is free Tools app, developed by edodm85. Latest version of TF Multi Classifier is 2.3.2, was released on 2023-12-02 (updated on 2024-04-18). Estimated number of the downloads is more than 100. Overall rating of TF Multi Classifier is 5,0. Generally most of the top apps on Android Store have rating of 4+. This app had been rated by 1 users, 1 users had rated it 5*, 1 users had rated it 1*.

How to install TF Multi Classifier on Windows?

Instruction on how to install TF Multi Classifier on Windows 10 Windows 11 PC & Laptop

In this post, I am going to show you how to install TF Multi Classifier on Windows PC by using Android App Player such as BlueStacks, LDPlayer, Nox, KOPlayer, ...

Before you start, you will need to download the APK/XAPK installer file, you can find download button on top of this page. Save it to easy-to-find location.

[Note] You can also download older versions of this app on bottom of this page.

Below you will find a detailed step-by-step guide, but I want to give you a fast overview of how it works. All you need is an emulator that will emulate an Android device on your Windows PC and then you can install applications and use it - you see you're playing it on Android, but this runs not on a smartphone or tablet, it runs on a PC.

If this doesn't work on your PC, or you cannot install, comment here and we will help you!

  1. Install using BlueStacks
  2. Install using NoxPlayer

Step By Step Guide To Install TF Multi Classifier using BlueStacks

  1. Download and Install BlueStacks at: https://www.bluestacks.com. The installation procedure is quite simple. After successful installation, open the Bluestacks emulator. It may take some time to load the Bluestacks app initially. Once it is opened, you should be able to see the Home screen of Bluestacks.
  2. Open the APK/XAPK file: Double-click the APK/XAPK file to launch BlueStacks and install the application. If your APK/XAPK file doesn't automatically open BlueStacks, right-click on it and select Open with... Browse to the BlueStacks. You can also drag-and-drop the APK/XAPK file onto the BlueStacks home screen
  3. Once installed, click "TF Multi Classifier" icon on the home screen to start using, it'll work like a charm :D

[Note 1] For better performance and compatibility, choose BlueStacks 5 Nougat 64-bit read more

[Note 2] about Bluetooth: At the moment, support for Bluetooth is not available on BlueStacks. Hence, apps that require control of Bluetooth may not work on BlueStacks.

How to install TF Multi Classifier on Windows PC using NoxPlayer

  1. Download & Install NoxPlayer at: https://www.bignox.com. The installation is easy to carry out.
  2. Drag the APK/XAPK file to the NoxPlayer interface and drop it to install
  3. The installation process will take place quickly. After successful installation, you can find "TF Multi Classifier" on the home screen of NoxPlayer, just click to open it.

Discussion

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Download older versions

Other versions available: 2.3.2 , 2.3.0.

Download TF Multi Classifier 2.3.2 on Windows PC – 107.1 MB

Download TF Multi Classifier 2.3.0 on Windows PC – 103.7 MB

TF Multi Classifier App uses Tensorflow lite to classify camera frames in real time.
The results are displayed on the top of the screen.

The App supports these processing hardware:
- CPU (all phones)
- NNAPI (requires Android 8.1 or higher)
- GPU (requires OpenGL ES 3.1 or higher)

The App starts with a default google dataset but if you want you can insert a custom dataset.

The defaul dataset is: quantized Mobilenet model (mobilenet_quant_v1_224).

You can download the following datasets from here: http://bit.ly/2BvvDNT
- Dog Breed (created with Transfer learning)
- Dog Vs Cat (created with Transfer learning)
- Bird (converted from google pb dataset)
- Insect (converted from google pb dataset)
- Plant (converted from google pb dataset)
- Seefood (converted from google pb dataset)


You can find my tutorial here: http://bit.ly/2V3giK9




NB: For custom App contact me.

Please rate and review so I can make it better!
v2.3.2
- Updated Target API Level
- Fixed camera permission

v2.3.0
- Updated Tensorflow library
- Internal fixes
Allows applications to open network sockets.
Required to be able to access the camera device.
Allows an application to read from external storage.
Allows applications to access information about networks.
Allows an app to use fingerprint hardware.
Allows applications to access information about Wi-Fi networks.
Allows using PowerManager WakeLocks to keep processor from sleeping or screen from dimming.
Allows read only access to phone state, including the phone number of the device, current cellular network information, the status of any ongoing calls, and a list of any PhoneAccounts registered on the device.