MLKitPoseDetection

This is a snippet of a Flutter iOS Method Channel for Pose Detection using MLKit.

The snippet in this repository allows Flutter apps to leverage the capabilities of Google's ML Kit's Pose Detection API. The package supports pose detection in "real-time". Note that there is notable latency using this implementation strategy, hence the "real time" in quotes.

• Real-time pose detection
• Extract 33 skeletal landmark points

To use this package, add MLKitPoseDetection as a dependency in your podfile.

Assemble these files in your codebase as you see fit, then in a Stateful widget, include this snippet:

...
late List<Offset> results = [];
@override
void initState() {
 super.initState();
 try {
 widget.cameraController!.startVideoRecording(onAvailable: (image) async {
 final data = await widget.inferenceService.getPoseDetection(image);
 if (mounted && data is List<Offset> && data.isNotEmpty) {
 setState(
 () => results = data,
 );
 }
 });
 } catch (e) {
 log("An error occured in the Inference Preview $e");
 }
}
...

Finally, use the widget.cameraController in a CameraPreview widget.

This project is licensed under the MIT License.