MediaPipeのPythonパッケージのサンプルです。2024/9/1時点でPython実装のある15機能について用意しています。

🖼️ PortraitStylization - A Pytorch style transfer algorithm optimized for human faces. Based on the paper "A Neural Algorithm of Artistic Style" (https://arxiv.org/abs/1508.06576)

Verify that the post-processing merged into FaceMesh works correctly. The object detection model can be anything other than BlazeFace. YOLOv4 and FaceMesh committed to this repository have modified post-processing.

A scout guarding your Pardus 🕵️

MediaPipeのFaceMesh検出を用いて、虹彩部分に写輪眼(©NARUTO -ナルト-)を表示するプログラム

Face Mesh and iris

With the Mediapipe library we can put up to 468 landmark in our face

Computer Vision python package that makes its easy to run Digital Image processing (DIP) and AI functions. At the core it uses OpenCV and google Mediapipe libraries.

A deeplearning based deepfake detection project for human face images and videos

Monitor and detect any malicious or suspicious activity and raise warnings and email alerts

Face and iris detection using ONNX models in Python based on MediaPipe

This project utilizes OpenCV, Python, and Mediapipe API to create a face mesh.It is capable of detecting face mesh and up to 100+ FPS(frames per second).It can easily run on workstations without GPU.

Cognitive Surveillance system -- detect any malicious activity (when person is looking away from camera) and alert though warning popups and email notifications (to the concerned authority)

Application that measures the skeleton from input facial images and estimates celebrities with similar skeletons.

This project uses Python to create a hands-free mouse controlled by eye movements. It utilizes OpenCV for webcam input, Mediapipe for eye tracking, and PyAutoGUI for mouse actions. Eye movements move the cursor, and left eye blinks trigger clicks, offering an accessibility solution for users with mobility limitations.

This repo has modules to help you to get automation at work by CV2 & Mediapipe using python.