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NNtrainer is Software Framework for Training Neural Network Models on Devices.
CVPR NTIRE 2023 Challenge on Real-Time Super-Resolution
Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in Semantic Segmentation, Interactive Segmentation, Panoptic Segmentation, Image …
This repository allows you to classify 40 different human actions. Pose detection, estimation and classification is also performed. Poses are classified into sitting, upright and lying down.
Official implementation of our CVPR2023 paper "A Unified Pyramid Recurrent Network for Video Frame Interpolation"
Tensorflow implementation for MobileFaceNet
Implementation of WACV 2023 paper "Enhanced Bi-directional Motion Estimation for Video Frame Interpolation"
chenyouxin113 / EBME
Forked from srcn-ivl/EBMEImplementation of WACV 2023 paper "Enhanced Bi-directional Motion Estimation for Video Frame Interpolation"
using single camera to measure the distance opencv python,
A python application that detects and highlights the heart-rate of an individual (using only their own webcam) in real-time.
chenyouxin113 / RNN-for-Human-Activity-Recognition-using-2D-Pose-Input
Forked from stuarteiffert/RNN-for-Human-Activity-Recognition-using-2D-Pose-InputActivity Recognition from 2D pose using an LSTM RNN
real time application to measure heart rate
YoloV4 on a bare Raspberry Pi 4 with ncnn framework
Console Chess Game for the OOP course at Telerik Academy
Official project website for the CVPR 2020 paper (Oral Presentation) "Cascaded deep monocular 3D human pose estimation wth evolutionary training data"
A C/C++ rewrite of the MINPACK software (originally in FORTRAN) for solving nonlinear equations and nonlinear least squares problems
Torchreid: Deep learning person re-identification in PyTorch.
RepNet command line interface (https://sites.google.com/view/repnet)
An OpenCL-based FPGA Accelerator for Convolutional Neural Networks
Avatars for Zoom, Skype and other video-conferencing apps.
Fully Convolutional HarDNet for Segmentation in Pytorch
The Simple and Efficient Semi-Supervised Learning Method for Deep Neural Networks
reimpliment of DFANet: Deep Feature Aggregation for Real-Time Semantic Segmentation