
ML Kit Demo Machine learning for mobile developers 電腦版
Amphan
用GameLoop模拟器在電腦上玩ML Kit Demo Machine learning for mobile developers
ML Kit Demo Machine learning for mobile developers 電腦版
來自發行商 Amphan 的 ML Kit Demo Machine learning for mobile developers 能夠在安卓系統上運行。
現在,您可以在電腦上使用 GameLoop 模擬器流暢地玩 ML Kit Demo Machine learning for mobile developers。
在 GameLoop 遊戲庫或搜索結果中下載。 不需要再暢玩遊戲時盯著電池電量或被令人懊惱的來電打斷。
只需在電腦大屏幕上免費下載暢玩ML Kit Demo Machine learning for mobile developers 電腦版!
ML Kit Demo Machine learning for mobile developers 簡介
ML Kit Demo
Machine learning for mobile developers
The ML Kit for Firebase Android Quickstart app demonstrates how to use the various features of ML Kit to add machine learning to your application.
Face Detection
Text Detection
Barcode Detection
Label Detection
Classification
Choose LivePreviewActivity to see a demo of the following APIs:
- Face detection
- Text recognition (on-device)
- Barcode scanning
- Image labeling (on-device)
- Landmark recognition
Choose StillImageActivity to see a demo of the following:
- Image labeling (Cloud)
- Landmark recognition (Cloud)
- Text recognition (Cloud)
- Document text recognition (Cloud)
more info
https://developers.google.com/ml-kit/
Source code
https://github.com/firebase/quickstart-android
My Website
http://softpowergroup.net/
My Blog
https://androidcontrol.blogspot.com
email : info@softpowergroup.net , amphancm@gmail.com
Tel .6681-6452400 ( Thailand )
Facebook : https://www.facebook.com/softpowergroup/
訊息
開發商
Amphan
最新版本
1.1
更新時間
2018-05-17
類別
Libraries-demo
同時可用
Google Play
更多
如何在電腦上用 GameLoop 玩 ML Kit Demo Machine learning for mobile developers
1. 從官網下載GameLoop,然後運行exe文件安裝GameLoop
2. 打開GameLoop,搜索“ML Kit Demo Machine learning for mobile developers”,在搜索結果中找到ML Kit Demo Machine learning for mobile developers,點擊“安裝”
3. 享受在 GameLoop 上玩 ML Kit Demo Machine learning for mobile developers 的樂趣
Minimum requirements
OS
Windows 8.1 64-bit or Windows 10 64-bit
GPU
GTX 1050
CPU
i3-8300
Memory
8GB RAM
Storage
1GB available space
Recommended requirements
OS
Windows 8.1 64-bit or Windows 10 64-bit
GPU
GTX 1050
CPU
i3-9320
Memory
16GB RAM
Storage
1GB available space