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3d-pose-baseline

A simple baseline for 3d human pose estimation in tensorflow. Presented at ICCV 17.

acam_demo

Real-time Action detection demo for the work Actor Conditioned Attention Maps. This repo includes a complete pipeline for person detection/tracking and analyzing their actions in real-time.

anatomy3d

Anatomy-aware 3D Human Pose Estimation in Videos

annotation_tools

Visipedia Annotation Tools

asff

yolov3 with mobilenet v2 and ASFF

awesome-chinese-llm

整理开源的中文大语言模型，以规模较小、可私有化部署、训练成本较低的模型为主，包括底座模型，垂直领域微调及应用，数据集与教程等。

awesome-human-pose-estimation

A collection of awesome resources in Human Pose estimation.

awesome-human-pose-estimation-1

Human Pose Estimation Related Publication

awesome-scene-understanding

😎 A list of papers for scene understanding in computer vision.

caffe-ssd-optimized

训练速度比原始caffe-ssd提升4~6倍

caffe_label_smooth

caffe_to_torch_to_pytorch

centernet

Object detection, 3D detection, and pose estimation using center point detection:

chainer-pose-proposal-net

Chainer implementation of Pose Proposal Networks

cnngraph

complex-yolo

Complex-YOLO: Real-time 3D Object Detection on Point Clouds pytorch Darknet

convert_coco_object365

convert coco/object365 data to VOC xml

crossview_3d_pose_tracking

Dataset of the paper "Cross-View Tracking for Multi-Human 3D Pose Estimation at over 100 FPS"

crowdpose

CrowdPose: Efficient Crowded Scenes Pose Estimation and A New Benchmark (CVPR2019)

cvtoolkit

computer vision Toolkit of pytorch

data-storage

Just to store some images and gifs

data_label_tools

收集整理开源的数据标注工具

deep-high-resolution-net.pytorch

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

detr

End-to-End Object Detection with Transformers

exploiting-spatial-temporal-relationships-for-3d-pose-estimation-via-graph-convolutional-networks

code for ICCV 2019 Paper Exploiting Spatial-temporal Relationships for 3D Pose Estimation via Graph Convolutional Networks

face-alignment

Face alignment with similarity transform based on MTCNN and RetinaFace.

facenet

Face recognition using Tensorflow

fast_stacked_hourglass_network_openvino

A fast stacked hourglass network for human pose estimation on OpenVino

floorplanannotator

gccpm-look-into-person-cvpr19.pytorch

Fast and accurate single-person pose estimation, ranked 10th at CVPR'19 LIP challenge. Contains implementation of "Global Context for Convolutional Pose Machines" paper.