lucasoskorep/tensordex-mobile
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Lucas Oskorep 9ec737db46 fixed classifier and added in a preliminary results view that shows what pokemon are currently being looked at.
2022-06-22 21:44:15 -04:00
android
Initial commit
2022-06-07 11:17:19 -04:00
assets
refactoring code to use proper views in the UI and turned the camera instance into its own view with callbacks.
2022-06-21 19:13:48 -04:00
ios
Initial commit
2022-06-07 11:17:19 -04:00
lib
fixed classifier and added in a preliminary results view that shows what pokemon are currently being looked at.
2022-06-22 21:44:15 -04:00
test
Initial commit
2022-06-07 11:17:19 -04:00
.gitignore
Initial commit
2022-06-07 11:17:19 -04:00
.metadata
Initial commit
2022-06-07 11:17:19 -04:00
analysis_options.yaml
Initial commit
2022-06-07 11:17:19 -04:00
install_tflite.bat
investigating why the input to the model is incorrect resulting in error on initialization.
2022-06-21 23:41:42 -04:00
install_tflite.sh
investigating why the input to the model is incorrect resulting in error on initialization.
2022-06-21 23:41:42 -04:00
LICENSE
Adding LICENSE
2022-06-07 15:26:17 +00:00
oldCameraCode.dart
fixed classifier and added in a preliminary results view that shows what pokemon are currently being looked at.
2022-06-22 21:44:15 -04:00
pubspec.lock
investigating why the input to the model is incorrect resulting in error on initialization.
2022-06-21 23:41:42 -04:00
pubspec.yaml
investigating why the input to the model is incorrect resulting in error on initialization.
2022-06-21 23:41:42 -04:00
README.md
Initial commit
2022-06-07 11:17:19 -04:00

README.md

tensordex_mobile

Pokedex made using Tensorflow 2.0

Getting Started

This project is a starting point for a Flutter application.

A few resources to get you started if this is your first Flutter project:

For help getting started with Flutter development, view the online documentation, which offers tutorials, samples, guidance on mobile development, and a full API reference.

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Description
Flutter Pokemon image classification app
Readme 87 MiB
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Dart 90.9%
Batchfile 5%
Shell 2.6%
Swift 1%
Kotlin 0.4%