railbird/react-native-vision-camera
8
0
Fork 0
Code Issues Pull Requests Packages Projects Releases Wiki Activity

docs: Explain Frame Processor benefits more

Browse Source
This commit is contained in:
Marc Rousavy 2021-07-08 14:17:10 +02:00 committed by GitHub
parent 5b75ce0dfb
commit cf68a4c647
No known key found for this signature in database
GPG Key ID: 4AEE18F83AFDEB23
1 changed files with 1 additions and 1 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

2
docs/docs/guides/FRAME_PROCESSORS.mdx
View File

@ -47,7 +47,7 @@ Frame processors are by far not limited to Hotdog detection, other examples incl
* Creating **snapchat-like filters**, e.g. draw a dog-mask filter over the user's face
* Creating **color filters** with depth-detection
Because they are written in JS, Frame Processors are **simple**, **extensible** and **easy to create** while still running at **native performance**. (Frame Processors can run up to **1000 times a second**!) Also, you can use [over-the-air updates](https://github.com/microsoft/react-native-code-push) to tweak the Hotdog detector's sensitivity without pushing a native update.
Because they are written in JS, Frame Processors are **simple**, **powerful**, **extensible** and **easy to create** while still running at **native performance**. (Frame Processors can run up to **1000 times a second**!) Also, you can use **fast-refresh** to quickly see changes while developing or publish [over-the-air updates](https://github.com/microsoft/react-native-code-push) to tweak the Hotdog detector's sensitivity in live apps without pushing a native update.
:::note
Frame Processors require [**react-native-reanimated**](https://github.com/software-mansion/react-native-reanimated) 2.2.0 or higher.