Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.
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Updated
Oct 11, 2024 - Python
Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.
An Angular App
Face detector using the BlazeFace Mediapipe model (with both CPU and TPU delegates) written in C++
YOLO5Face: Why Reinventing a Face Detector (https://arxiv.org/abs/2105.12931) ECCV Workshops 2022)
Automatic 3D Character animation using Pose Estimation and Landmark Generation techniques
a simple face recognition with Tensorflow Blazeface model built with JavaScript ES6+ and Tensorflow.js
Unofficial PyTorch implementation of BlazeFace
Python scripts to detect faces in Python with the BlazeFace Tensorflow Lite models
This project was completed as part of the Deep Learning course (GLO-4030) at Laval University. Its goal is to detect deepfake videos using deep learning techniques on the FaceForensics dataset. We were able to achieve deepfake detection by using the EfficientNet model.
Emotion Recognition Project Adapted in HTML/Javascript/CSS with Tensorflowjs
Reatime Face Recognizer on Android
The implementation of BlazeFace network in PyTorch
The smallest ever JavaScript library for Head Position and Facial Keypoints.
微信小程序下运行最新TensorFlowJS的解决方案
This project Deepfakes can distort our perception of the truth and we need to develop a strategy to improve their detection. Deep Fakes are increasingly detrimental to privacy, social security, and democracy. We plan to achieve better accuracy in predicting real and fake videos.. https://pypi.org/project/Deep-Fake-Detection/
End-to-end face detection and recognition system using PaddlePaddle.
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