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  • GitHub - Infineon mtb-example-ml-gesture-classification: This code . . .
    This code example demonstrates how to perform gesture classification based on motion sensor (accelerometer and gyroscope) data The code example comes with a pre-trained model that classifies the following gestures: circle, square, and side-to-side - Infineon mtb-example-ml-gesture-classification
  • Pose detection | ML Kit | Google for Developers
    The ML Kit Pose Detection API is a lightweight versatile solution for app developers to detect the pose of a subject's body in real time from a continuous video or static image A pose describes the body's position at one moment in time with a set of skeletal landmark points The landmarks correspond to different body parts such as the shoulders and hips The relative positions of landmarks
  • Head 3d rotation and position with MLKit PoseDetection
    I'm using the Pose Detection, and I tried to use the facial landmarks to calculate the 3d head position and rotation But as said in MLKit's PoseDetection documentation, the z position for the face landmarks should be ignored So I would like to know if there is another way to obtain the head rotation and position from the data that the Pose Detection gives us
  • Object Detection and Tracking | ML Kit for Firebase
    See Object Detection and Tracking for the latest documentation With ML Kit's on-device object detection and tracking API, you can localize and track in real time the most prominent objects in an image or live camera feed
  • Object detection and tracking | ML Kit | Google for Developers
    With ML Kit's on-device object detection and tracking API, you can detect and track objects in an image or live camera feed Optionally, you can classify detected objects, either by using the coarse classifier built into the API, or using your own custom image classification model See Using a custom TensorFlow Lite model for more information Because object detection and tracking happens on
  • GitHub - MicrochipTech ml-samd21-iot-mplabml-gestures-demo
    This repository is a companion to the Gesture Recognition with MPLAB ML tutorial It contains the firmware to classify a few different motion gestures on a SAMD21 Machine Learning Kit with the Bosch BMI160 IMU (Mikroe IMU2 click board) or the TDK ICM42688 IMU (Mikroe IMU14 click board)
  • Gesture Recognition with SensiML - Developer Help
    A fully developed gesture classifier project including a dataset, pre-trained machine learning model, and firmware source code to help you get up and running quickly with your project using SensiML and the SAMD21 ML Evaluation Kit are provided with this guide Materials Hardware Tools
  • How to make MLKIT not detect people in the background movement?
    Firstly using ML Kit object detection to detect and track object, it has object id bounding box, and you can use ML Kit face detection to check whether it has face inside
  • Detect and track objects with ML Kit on Android
    Detect and track objects with ML Kit on Android You can use ML Kit to detect and track objects in successive video frames When you pass an image to ML Kit, it detects up to five objects in the image along with the position of each object in the image
  • mlkit android vision-quickstart README. md at master - GitHub
    A collection of sample apps to demonstrate how to use Google's ML Kit APIs on Android and iOS - googlesamples mlkit
  • Pose classification options | ML Kit | Google for Developers
    With the ML Kit Pose Detection API, you can derive meaningful interpretations of a pose by checking the relative positions of various body parts This page demonstrates a few examples Pose classification and repetition counting with the k-NN algorithm One of the most common applications of pose detection is fitness tracking Building a pose classifier that recognizes specific fitness poses
  • HumanML3D: 3D Human Motion-Language Dataset - GitHub
    KIT Motion-Language Dataset (KIT-ML) is also a related dataset that contains 3,911 motions and 6,278 descriptions We processed KIT-ML dataset following the same procedures of HumanML3D dataset, and provide the access in this repository However, if you would like to use KIT-ML dataset, please remember to cite the original paper





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