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otto von Guericke university
- Magdeburg, Germany
- https://www.linkedin.com/in/arman10121995/
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pytorch implementation of openpose including Hand and Body Pose Estimation.
A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities
T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis
Enhance your application with the ability to see and interact with humans using any RGB camera.
Gesture Recognition Algorithm integrated for ROS Melodic
Go through the quick tutorial on how to install and run ROS on your windows system without any dual-booting or using VM. You can give a quick read to the blog I've written on the same.
An end-to-end walkthrough with a custom object detection pipeline for face detection!
Easily train or fine-tune SOTA computer vision models with one open source training library. The home of Yolo-NAS.
Utilizing pretrained YoloV3 and Facenet models to detect faces based on euclidean distances
real time face recognition with YOLO and FaceNet
kinivi / hand-gesture-recognition-mediapipe
Forked from Kazuhito00/hand-gesture-recognition-using-mediapipeThis is a sample program that recognizes hand signs and finger gestures with a simple MLP using the detected key points. Handpose is estimated using MediaPipe.
[ROS package] Broadcast the OpenNI skeleton frames using ROS tf
OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation
Autoware - the world's leading open-source software project for autonomous driving
A ROS driver for OpenNI depth (+ RGB) cameras.
Samples for CUDA Developers which demonstrates features in CUDA Toolkit
Open source drivers for the Kinect for Windows v2 device
Face recognition using dlib and optimized kNN classification in ROS.
A practical implementation of sign language estimation using an LSTM NN built on TF Keras.
Self-supervised contrastive learning for time series via time-frequency consistency
Code and models of our arXiv paper "IPN Hand: A Video Dataset and Benchmark for Real-Time Continuous Hand Gesture Recognition"
Real-time Hand Gesture Recognition with PyTorch on EgoGesture, NvGesture, Jester, Kinetics and UCF101