railbird/react-native-vision-camera
9
0
Fork 0
Code Issues Pull Requests Packages Projects Releases Wiki Activity

Update FRAME_PROCESSORS.mdx

Browse Source
This commit is contained in:
Marc Rousavy 2021-07-26 15:41:03 +02:00 committed by GitHub
parent 070d00718c
commit cbcde138fb
No known key found for this signature in database
GPG Key ID: 4AEE18F83AFDEB23
1 changed files with 3 additions and 1 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

4
docs/docs/guides/FRAME_PROCESSORS.mdx
View File

@ -154,7 +154,9 @@ Check out [**Frame Processor community plugins**](/docs/guides/frame-processor-p
Frame Processors are _really_ fast. I have used [MLKit Vision Image Labeling](https://firebase.google.com/docs/ml-kit/ios/label-images) to label 4k Camera frames in realtime, and measured the following results: Frame Processors are _really_ fast. I have used [MLKit Vision Image Labeling](https://firebase.google.com/docs/ml-kit/ios/label-images) to label 4k Camera frames in realtime, and measured the following results:
* Fully natively (written in pure Objective-C, no React interaction at all), I have measured an average of **68ms** per call. * Fully natively (written in pure Objective-C, no React interaction at all), I have measured an average of **68ms** per call.
* As a Frame Processor Plugin (written in Objective-C, called through a JS Frame Processor function), I have measured an average of **69ms** per call, meaning **the Frame Processor API only takes ~1ms longer than a fully native implementation**, making it **the fastest way to run any sort of Frame Processing in React Native**. * As a Frame Processor Plugin (written in Objective-C, called through a JS Frame Processor function), I have measured an average of **69ms** per call.
This means that **the Frame Processor API only takes ~1ms longer than a fully native implementation**, making it **the fastest and easiest way to run any sort of Frame Processing in React Native**.
> All measurements are recorded on an iPhone 11 Pro, benchmarked total execution time of the [`captureOutput`](https://developer.apple.com/documentation/avfoundation/avcapturevideodataoutputsamplebufferdelegate/1385775-captureoutput) function by using [`CFAbsoluteTimeGetCurrent`](https://developer.apple.com/documentation/corefoundation/1543542-cfabsolutetimegetcurrent). Running smaller images (lower than 4k resolution) is much quicker and many algorithms can even run at 60 FPS. > All measurements are recorded on an iPhone 11 Pro, benchmarked total execution time of the [`captureOutput`](https://developer.apple.com/documentation/avfoundation/avcapturevideodataoutputsamplebufferdelegate/1385775-captureoutput) function by using [`CFAbsoluteTimeGetCurrent`](https://developer.apple.com/documentation/corefoundation/1543542-cfabsolutetimegetcurrent). Running smaller images (lower than 4k resolution) is much quicker and many algorithms can even run at 60 FPS.