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https://github.com/darkmatter18/whatsthere
Pytorch based Android app, which classifies images using MobileNet-V2 model, takes image using CameraX API
https://github.com/darkmatter18/whatsthere
android camera2 camerax hacktoberfest image-classification imagenet imagenet-classifier java mobilenetv2 neural-network pytorch pytorch-android
Last synced: 19 days ago
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Pytorch based Android app, which classifies images using MobileNet-V2 model, takes image using CameraX API
- Host: GitHub
- URL: https://github.com/darkmatter18/whatsthere
- Owner: darkmatter18
- License: apache-2.0
- Created: 2020-05-22T07:28:10.000Z (over 4 years ago)
- Default Branch: master
- Last Pushed: 2024-10-30T23:40:41.000Z (21 days ago)
- Last Synced: 2024-10-31T00:24:53.460Z (20 days ago)
- Topics: android, camera2, camerax, hacktoberfest, image-classification, imagenet, imagenet-classifier, java, mobilenetv2, neural-network, pytorch, pytorch-android
- Language: Java
- Homepage: https://github.arkadip.me/WhatsThere/
- Size: 53.7 MB
- Stars: 21
- Watchers: 3
- Forks: 10
- Open Issues: 16
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Metadata Files:
- Readme: README.md
- Changelog: CHANGELOG.md
- Contributing: CONTRIBUTING.md
- License: LICENSE
- Code of conduct: CODE_OF_CONDUCT.md
- Support: .github/SUPPORT.md
Awesome Lists containing this project
README
# WhatsThere
[](https://github.com/darkmatter18/WhatsThere/releases/latest/download/WhatsThere.apk)
[**Installation Guideline**](./installation.md)
[](https://github.com/darkmatter18/WhatsThere/network/members)
[](https://github.com/darkmatter18/WhatsThere/issues)
[](https://github.com/darkmatter18/WhatsThere/stargazers)
[](https://github.com/darkmatter18/WhatsThere/blob/master/LICENSE)
An Android Application, which can `sense` and `classify` objects in Real time.
The App is created using the concepts of `Deep Learning` and `Artificial Neural Networks`.
**`WhatsThere`** is a great example, that how `Artificial Intelligence` can do a lot without human interference.
## Features
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1. The App can sense **1000** different kinds of objects, from `Keyborads` to `Dog Bread`
2. The App has a *Flash* On/Off button, so the app can see clearly at night.
3. The *Camera Focus* is automatically adjusted, so you don't have to bother to focus any object.
> Last but not least
4. The App is so **light weight** and can do it's job very precisely even in **VERY LOW SPECS Device**.
## Technology
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- The App is created for and only for **`Android`**, `2 minutes of silence for other platforms`
- To power-up the Deep Neural Network, the App uses **`PyTorch`**
- Written in *`Shuddh`* **`JAVA`**
- Uses [**`CameraX`**](https://developer.android.com/training/camerax) to Capture frames
## Neural Network
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- The App uses the pretrained `MobileNet-v2` model as it's classifier backend
## Example Images
## Maintainer
[](https://github.com/darkmatter18/) [](https://github.com/darkmatter18/)
[](https://sourcerer.io/fame/darkmatter18/darkmatter18/WhatsThere/links/0)[](https://sourcerer.io/fame/darkmatter18/darkmatter18/WhatsThere/links/1)[](https://sourcerer.io/fame/darkmatter18/darkmatter18/WhatsThere/links/2)[](https://sourcerer.io/fame/darkmatter18/darkmatter18/WhatsThere/links/3)[](https://sourcerer.io/fame/darkmatter18/darkmatter18/WhatsThere/links/4)[](https://sourcerer.io/fame/darkmatter18/darkmatter18/WhatsThere/links/5)[](https://sourcerer.io/fame/darkmatter18/darkmatter18/WhatsThere/links/6)[](https://sourcerer.io/fame/darkmatter18/darkmatter18/WhatsThere/links/7)
**[Arkadip Bhattacharya](https://www.linkedin.com/in/arkadip/)**
> ***Need help?***
***Feel free to contact me @ [[email protected]](mailto:[email protected]?Subject=Github:Udacity-Computer-Vision-Nanodegree-Repository)***
[](https://github.com/darkmatter18/) [](https://twitter.com/Arkadipb21)
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