densepose_installation CMake 70

How to install DensePose with PyTorch (including caffe2) from source code or binaries via conda

DensePose * Jupyter Notebook 8

A real-time approach for mapping all human pixels of 2D RGB images to a 3D surface-based model of the body

FairMOT * Python 1

A simple baseline for one-shot multi-object tracking

AdelaiDet * Python 0

AdelaiDet is an open source toolbox for multiple instance-level detection and recognition tasks.

mmtracking * Python 0

OpenMMLab Video Perception Toolbox. It supports Single Object Tracking (SOT), Multiple Object Tracking (MOT), Video Object Detection (VID) with a unified framework.

detectron2 * 0

Detectron2 is FAIR's next-generation platform for object detection, segmentation and other visual recognition tasks.

HeadHunter * 0

Code for the head detector (HeadHunter) proposed in our CVPR 2021 paper Tracking Pedestrian Heads in Dense Crowd.

DCNv2 * C++ 0

Deformable Convolutional Networks v2 with Pytorch

pytorch * C++ 0

Tensors and Dynamic neural networks in Python with strong GPU acceleration

SparseR-CNN * 0

End-to-End Object Detection with Learnable Proposal

awesome-self-supervised-learning * 0

A curated list of awesome self-supervised methods

cocoapi * Jupyter Notebook 0

COCO API - Dataset @ http://cocodataset.org/

deep-high-resolution-net.pytorch * Cuda 0

The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"

maskrcnn-benchmark * Python 0

Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.

Detectron * Python 0

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

mxnet * C++ 0

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

resume * TeX 0

My resume, generated with moderncv

faster_rcnn * Matlab 0

Faster R-CNN

py-faster-rcnn * Python 0

Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version

caffe * C++ 0

Caffe: a fast open framework for deep learning.

stanford_dl_ex * Matlab 0

Programming exercises for the Stanford Unsupervised Feature Learning and Deep Learning Tutorial