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mediapipe_face_meshcopy "mediapipe_face_mesh: ^3.0.0" to clipboard
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11
likes
160
points
2.46k
downloads
Real-time on-device MediaPipe face detection and face mesh. 478 landmarks with iris, multi-face tracking, ARKit-style blendshapes, and 3D head pose.#mediapipe#face-mesh#face-detection#face-landmark#face-tracking

hand_landmarkercopy "hand_landmarker: ^3.1.0" to clipboard
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11
likes
160
points
630
downloads
A Flutter plugin for real-time hand landmark detection on Android using Google's MediaPipe Hand Landmarker task and a JNI bridge.#hand-tracking#mediapipe#computer-vision#machine-learning#jni
PlatformAndroid

flutter_mp_pose_landmarkercopy "flutter_mp_pose_landmarker: ^0.1.9" to clipboard
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6
likes
140
points
162
downloads
A Flutter plugin for real-time pose detection using MediaPipe and native CameraX.#pose#mediapipe#camera#landmark

air_pointercopy "air_pointer: ^0.2.3" to clipboard
air_pointer: ^0.2.3 copied to clipboard

4
likes
160
points
40
downloads
Platform-agnostic canvas input for Flutter. Unifies mouse, trackpad, and MediaPipe hand-gesture events behind a single CanvasInputController.#canvas#gestures#hand-tracking#mediapipe

flutter_gemma_mediapipecopy "flutter_gemma_mediapipe: ^1.0.5" to clipboard
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1
likes
140
points
2.74k
downloads
MediaPipe (.task) on-device inference engine for flutter_gemma (Android/iOS/Web). Opt-in package; provides an InferenceEngineProvider. Bundles Google's MediaPipe Pod/Gradle deps.#gemma#llm#mediapipe#on-device#ai

thinksys_mediapipe_plugincopy "thinksys_mediapipe_plugin: ^0.0.13" to clipboard
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20
likes
100
points
19
downloads
Add motion-based magic to your Flutter apps! ThinkSys Mediapipe Plugin offers real-time pose detection for iOS, with easy integration, customizable options, and endless possibilities for fitness, heal [...]#mediapipe#pose-detection
PlatformiOS

flutter_hand_gesturecopy "flutter_hand_gesture: ^2.1.1" to clipboard
flutter_hand_gesture: ^2.1.1 copied to clipboard

0
likes
150
points
76
downloads
A Flutter package for real-time hand gesture recognition using on-device ML. Supports custom gestures, landmark detection, and stream-based API. No internet required.#gesture#hand-tracking#mediapipe#camera#machine-learning

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