tinomm

tinomm's Stars

• rlabbe/Kalman-and-Bayesian-Filters-in-Python

  Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

  Language:Jupyter Notebook16.4k4633224.1k

• yzhao062/pyod

  A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques

  Language:Python8.4k1433341.4k

• afshinea/stanford-cs-230-deep-learning

  VIP cheatsheets for Stanford's CS 230 Deep Learning

  6.3k22571.3k

• layumi/Person_reID_baseline_pytorch

  :bouncing_ball_person: Pytorch ReID: A tiny, friendly, strong pytorch implement of person re-id / vehicle re-id baseline. Tutorial 👉https://github.com/layumi/Person_reID_baseline_pytorch/tree/master/tutorial

  Language:Python4.1k773781k

• foolwood/benchmark_results

  Visual Tracking Paper List

  3.9k35101.1k

• facebookresearch/VideoPose3D

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

  Language:Python3.7k103232748

• foolwood/SiamMask

  [CVPR2019] Fast Online Object Tracking and Segmentation: A Unifying Approach

  Language:Python3.5k94202814

• microsoft/human-pose-estimation.pytorch

  The project is an official implement of our ECCV2018 paper "Simple Baselines for Human Pose Estimation and Tracking(https://arxiv.org/abs/1804.06208)"

  Language:Python2.9k75169601

• tinghuiz/SfMLearner

  An unsupervised learning framework for depth and ego-motion estimation from monocular videos

  Language:Jupyter Notebook2k78145555

• akanazawa/hmr

  Project page for End-to-end Recovery of Human Shape and Pose

  Language:Python1.5k65159395

• yu-changqian/TorchSeg

  Fast, modular reference implementation and easy training of Semantic Segmentation algorithms in PyTorch.

  Language:Python1.4k47115253

• wangzheallen/awesome-human-pose-estimation

  Human Pose Estimation Related Publication

  1.3k10411206

• openpifpaf/openpifpaf

  Official implementation of "OpenPifPaf: Composite Fields for Semantic Keypoint Detection and Spatio-Temporal Association" in PyTorch.

  Language:Python1.2k33289247

• plotly/dash-recipes

  A collection of scripts and examples created while answering questions from the greater Dash community

  Language:Python1.1k6027302

• zhengqili/MegaDepth

  Code of single-view depth prediction algorithm on Internet Photos described in "MegaDepth: Learning Single-View Depth Prediction from Internet Photos, Z. Li and N. Snavely, CVPR 2018".

  Language:Python7233453167

• tum-vision/LDSO

  DSO with SIM(3) pose graph optimization and loop closure

  Language:C++6553866235

• GibbsConsulting/django-plotly-dash

  Expose plotly dash apps as django tags

  Language:Python54522323123

• fangchangma/sparse-to-dense

  ICRA 2018 "Sparse-to-Dense: Depth Prediction from Sparse Depth Samples and a Single Image" (Torch Implementation)

  Language:Lua409162695

• huanghoujing/EANet

  EANet: Enhancing Alignment for Cross-Domain Person Re-identification

  Language:Python397154588

• derikon/awesome-human-motion

  🏃‍♀️ A curated list about human motion capture, analysis and synthesis.

  39428149

• Dene33/video_to_bvh

  Convert human motion from video to .bvh

  Language:Jupyter Notebook3692343112

• uoip/monoVO-python

  A simple monocular visual odometry project in Python

  Language:Python34691199

• tum-vision/online_photometric_calibration

  Implementation of online photometric calibration (https://vision.in.tum.de/research/vslam/photometric-calibration)

  Language:C++333321898

• arrenglover/openfabmap

  Open-source C++ code for the FAB-MAP visual place recognition algorithm

  Language:C++219112668

• iitmcvg/CNN_SLAM

  CNN SLAM implementation of https://arxiv.org/abs/1704.03489

  Language:Python19825250

• JingchunCheng/SegFlow

  Demo code of the paper "SegFlow: Joint Learning for Video Object Segmentation and Optical Flow", in ICCV 2017

  Language:Jupyter Notebook17871541

• csu-hmc/GaitAnalysisToolKit

  Tools for the Cleveland State Human Motion and Control Lab

  Language:Python108169031

• XU-TIANYANG/LADCF

  Matlab implementation of TIP2019 paper "Learning Adaptive Discriminative Correlation Filters via Temporal Consistency Preserving Spatial Feature Selection for Robust Visual Object Tracking"

  Language:MATLAB936224

• mcrowson/zappa_dash

  Implementing Plotly's Dash on AWS Lambda via Zappa

  Language:Python39906

• move-ai/recipes

  40