MoveNetを用いたPythonでの姿勢推定のデモ
-
Updated
Sep 23, 2022 - Python
#
movenet-lightning
Here are 7 public repositories matching this topic...
This project focuses on Human Pose Estimation using the MoveNet model with TensorFlow Lite. The goal is to detect keypoint positions on a person's body in images and live video frames. The project provides a Flask web application for both image and live video input, showcasing the real-time capabilities of the model.
python tensorflow human-pose-estimation human-pose-tracking movenet movenet-lightning movenet-thunder flask-ai
-
Updated
Jul 29, 2025 - Python
This is Pose Estimation project based on MoveNet architecture. It can detect the points so accurately and fast. And works for single pose estimation.
-
Updated
Feb 13, 2022 - Python
This system uses YOLO for object detection (specifically, garbage), MoveNet for hand landmark detection, and DeepFace for facial recognition. It analyzes the relationship between detected humans and garbage to identify potential littering incidents in real-time.
-
Updated
Aug 30, 2024 - Python
Here we tried to detected different poses made by person using movenet/singlepose/lightning model
opencv computer-vision transfer-learning pose-estimation tensorflow-lite tensorflow2 movenet-lightning
-
Updated
Oct 26, 2022 - Python
Simple web application analyzes user actions for video proctoring systems.
dockerfile opencv openh264 openvino dlib-face-detection streamlit movenet-lightning voiceactivitydetection
-
Updated
Jul 8, 2024 - Python
Improve this page
Add a description, image, and links to the movenet-lightning topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the movenet-lightning topic, visit your repo's landing page and select "manage topics."