Pinned Repositories
deep-head-pose
:fire::fire: Deep Learning Head Pose Estimation using PyTorch.
deep-head-pose-lite
A lite-version hopenet for head pose estimation with PyTorch
Deep-MVLM
A tool for precisely placing 3D landmarks on 3D facial scans based on the paper "Multi-view Consensus CNN for 3D Facial Landmark Placement"
Face-Detector-1MB-with-landmark
1M人脸检测模型(含关键点)
FreehandUSRecon
Source code for DCL-Net, a deep learning model for sensorless freehand 3D ultrasound volume reconstruction.
libwetcloth
A Multi-Scale Model for Simulating Liquid-Fabric Interactions
LRCN-for-Video-Regression
LRCN approach for video regression that uses CNNs for visual input and LSTMs to process sequences of frame embeddings
PoseCNN
A Convolutional Neural Network for 6D Object Pose Estimation in Cluttered Scenes
RoboWare
scikit-surgerynditracker
Easy communication with NDI trackers (Polaris Vicra, Spectra, Vega, and Aurora)
ligong16's Repositories
ligong16/deep-head-pose
:fire::fire: Deep Learning Head Pose Estimation using PyTorch.
ligong16/deep-head-pose-lite
A lite-version hopenet for head pose estimation with PyTorch
ligong16/Deep-MVLM
A tool for precisely placing 3D landmarks on 3D facial scans based on the paper "Multi-view Consensus CNN for 3D Facial Landmark Placement"
ligong16/Face-Detector-1MB-with-landmark
1M人脸检测模型(含关键点)
ligong16/FreehandUSRecon
Source code for DCL-Net, a deep learning model for sensorless freehand 3D ultrasound volume reconstruction.
ligong16/libwetcloth
A Multi-Scale Model for Simulating Liquid-Fabric Interactions
ligong16/LRCN-for-Video-Regression
LRCN approach for video regression that uses CNNs for visual input and LSTMs to process sequences of frame embeddings
ligong16/PoseCNN
A Convolutional Neural Network for 6D Object Pose Estimation in Cluttered Scenes
ligong16/RoboWare
ligong16/scikit-surgerynditracker
Easy communication with NDI trackers (Polaris Vicra, Spectra, Vega, and Aurora)
ligong16/tf-keras-deep-head-pose
A tensorflow & keras implementation of Deep Head Pose
ligong16/yolov5
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
ligong16/yolov5_face_landmark
基于yolov5的人脸检测，带关键点检测