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traclusalgorithm

This is an implementation for TraClus algorithm in Java. A GUI was added.

trajectory

Trajectory Outlier Detection Library

trajectory-analysis-and-classification-in-python-pandas-and-scikit-learn-

Read and form trajectories. Find most similar using similarity measures such as DTW and LCSS. Then we classify them.

trajectory2vec

code for "Trajectory clustering via deep representation learning"

trajectory_classification

Python code to re-produce results and illustrations of trajectory classification.

trajectoryclustering

This application written in Python is capable of fully automatic clustering of 2D trajectory data.

trajectorynet

基于GPS轨迹和神经网络（DNN,RNN）的出行方式推测

trajectorynet-1

trajectorytracking

Trajectory Tracking Project

trn-pytorch

Temporal Relation Networks

tsd

1st place models in Google OpenImage Detection Challenge 2019

tvm

Open deep learning compiler stack for cpu, gpu and specialized accelerators

tvnet_pytorch

Tvnet implemented in pytorch

ugatit

Official Tensorflow implementation of U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image Translation (ICLR 2020)

unflow

UnFlow: Unsupervised Learning of Optical Flow with a Bidirectional Census Loss

unifiedtransform

A school management Software

ussd-6d

Multi-view Self-supervised 6D Object Pose Prediction

vc-r-cnn

The official pytorch implementation of CVPR 2020 ``Visual Commonsense R-CNN''

vcn

Volumetric Correspondence Networks for Optical Flow, NeurIPS 2019.

vibe

Official implementation of CVPR2020 paper "VIBE: Video Inference for Human Body Pose and Shape Estimation"

vid2vid

Pytorch implementation of our method for high-resolution (e.g. 2048x1024) photorealistic video-to-video translation.

vidaug

Effective Video Augmentation Techniques for Training Convolutional Neural Networks

video-long-term-feature-banks

Long-Term Feature Banks for Detailed Video Understanding

video-nonlocal-net

Non-local Neural Networks for Video Classification

video-understanding-dataset

A collection of recent video understanding datasets, under construction!

video2bvh

Extracts human motion in video and save it as bvh mocap file.

video_classification_pytorch

Video Classification based on PyTorch

videomae

VideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Training

videopose

3D pose estimation for wild videos， embed 2d keypoints detector like hrnet alphapose and openpose

videopose3d

Efficient 3D human pose estimation in video using 2D keypoint trajectories