pose_detection library

On-device pose detection and landmark estimation using TensorFlow Lite.

This library provides a Flutter plugin for real-time human pose detection using Google's MediaPipe BlazePose models. It detects persons in images and extracts 33 body landmarks (keypoints) for each detected person.

Quick Start:

import 'package:pose_detection/pose_detection.dart';

final detector = PoseDetector();
await detector.initialize();

final poses = await detector.detect(imageBytes);
for (final pose in poses) {
  print('Person detected at ${pose.boundingBox}');
  if (pose.hasLandmarks) {
    final nose = pose.getLandmark(PoseLandmarkType.nose);
    print('Nose position: (${nose?.x}, ${nose?.y})');
  }
}

await detector.dispose();

Main Classes:

PoseDetector: Main API for pose detection
Pose: Detected person with bounding box and optional 33 landmarks
PoseLandmark: Single body keypoint with 3D coordinates and visibility
PoseLandmarkType: Enum of 33 body parts (nose, shoulders, knees, etc.)
BoundingBox: Axis-aligned rectangle for person location

Detection Modes:

PoseMode.boxes: Fast detection returning only bounding boxes
PoseMode.boxesAndLandmarks: Full pipeline with 33 landmarks per person

Model Variants:

PoseLandmarkModel.lite: Fastest, good accuracy
PoseLandmarkModel.full: Balanced speed/accuracy
PoseLandmarkModel.heavy: Slowest, best accuracy (default)

pose_detection library

Classes

Enums

Constants

pose_detection package

pose_detection library