songyongkun

songyongkun

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mmwave-gesture-recognition

Basic Gesture Recognition Using mmWave Sensor - TI AWR1642

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deephar

Deep human action recognition and pose estimation

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deephar

Deep human action recognition and pose estimation

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complexPyTorch

A high-level toolbox for using complex valued neural networks in PyTorch

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splatnet_pytorch

Unofficial partial implemention of SplatNet

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splatnet

SPLATNet: Sparse Lattice Networks for Point Cloud Processing (CVPR2018)

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smplx

SMPL-X

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SlowFast

PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.

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pytorch-openpose

pytorch implementation of openpose including Hand and Body Pose Estimation.

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3DDFA_V2

The official PyTorch implementation of Towards Fast, Accurate and Stable 3D Dense Face Alignment, ECCV 2020.

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face-alignment

:fire: 2D and 3D Face alignment library build using pytorch

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OpenFace

OpenFace – a state-of-the art tool intended for facial landmark detection, head pose estimation, facial action unit recognition, and eye-gaze estimation.

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ICCVW2017-DenseFaceAlignment

http://cvlab.cse.msu.edu/project-pifa.html

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pfld_106_face_landmarks

106点人脸关键点检测的PFLD算法实现

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face_dense_landmark

Face dense landmark

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Dense-Head-Pose-Estimation

[ECCV 2020] Reimplementation of 3DDFAv2, including face mesh, head pose, landmarks, and more.

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temporal-segment-networks

Code & Models for Temporal Segment Networks (TSN) in ECCV 2016

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Face-landmarks-detection-benchmark

Face landmarks(fiducial points) detection benchmark

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R-C3D.pytorch

R-C3D pytorch implementation

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awesome-image-classification

A curated list of deep learning image classification papers and codes

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R2Plus1D-C3D

A PyTorch implementation of R2Plus1D and C3D based on CVPR 2017 paper "A Closer Look at Spatiotemporal Convolutions for Action Recognition" and CVPR 2014 paper "Learning Spatiotemporal Features with 3D Convolutional Networks"

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C3D

pytorch for : Learning Spatiotemporal Features with 3D Convolutional Networks(2015-ICCV)

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votenet

Deep Hough Voting for 3D Object Detection in Point Clouds

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Stock-market-forecasting

Forecasting directional movements of stock prices for intraday trading using LSTM and random forest

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Vehicle-Car-detection-and-multilabel-classification

使用YOLO_v3_tiny和B-CNN实现街头车辆的检测和车辆属性的多标签识别 Using yolo_v3_tiny to do vehicle or car detection and attribute's multilabel classification or recognize

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deep-learning-vehicle-detection

Vehicle Detection based on Faster R-CNN

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Vehicle-Detection-using-Faster-R-CNN

Vehicle Detection using state-of-the-art architecture Faster R-CNN with Pretrained models like VGG16 and ResNet50

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