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3d-multi-person-pose

3D Multi-Person Pose Estimation by Integrating Top-Down and Bottom-Up Networks

ase

awesome-multiple-object-tracking

Resources for Multiple Object Tracking (MOT)

blog_article_packnet-sfm

Blog article on the paper 3D Packing for Self-Supervised Monocular Depth Estimation published by Vitor Guizilini, Rares Ambrus, Sudeep Pillai, Allan Raventos and Adrien Gaidon

boostingmonoculardepth

boostyourowndepth

Apply our monocular depth boosting to your own network!

center-group

Official PyTorch implementation of "The Center of Attention: Center-Keypoint Grouping via Attention for Multi-Person Pose Estimation" (ICCV 21).

darknet

Convolutional Neural Networks

deep_sort_pytorch

MOT using deepsort and yolov3 with pytorch

editgan_release

editnerf

Editing a Conditional Radiance Field

g2s

The official code for ICRA 2021 Paper: "Multimodal Scale Consistency and Awareness for Monocular Self-Supervised Depth Estimation"

instant-ngp

Instant neural graphics primitives: lightning fast NeRF and more

lift-splat-shoot

Lift, Splat, Shoot: Encoding Images from Arbitrary Camera Rigs by Implicitly Unprojecting to 3D (ECCV 2020)

midas

Code for robust monocular depth estimation described in "Ranftl et. al., Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer, TPAMI 2022"

movingcam

multi-person-pose-estimation

Multi-person pose estimation with Python using Mediapipe and SSD Mobilenet.

multi-person-pose-estimation-using-yolo-and-opencv

Developed the project is detect the persons using yolo and estimate the persons pose using mediapipe

multi_person_pose_detection_with_yolov5_and_mediapipe

Pose estimation using MediaPipe works really well for most of the case, but the problem occurs when there are multiple person on a single frame. As of this writing the MediaPipe doesn't supports multiple person. For every problem there are many solutions. A flexible approach to solve this problem is to use an object detection model and get the crops of multiple people present in a frame, then estimate the pose for each person and finally aggregate the image together in a single frame

multinerf

A Code Release for Mip-NeRF 360, Ref-NeRF, and RawNeRF

multiple-person-detection-mediapipe

onnx-packnet-sfm

Python scripts for performing monocular depth estimation using the PackNet-SfM model in ONNX

opera

A Unified Toolbox for Object Perception & Application

pycape

Post YOLO Crop And Pose Estimation

stable-diffusion-klms-gui

tfjs-models

Pretrained models for TensorFlow.js

timecriticalresponse

torchsparse

[MLSys'22] TorchSparse: Efficient Point Cloud Inference Engine

vidar

yolov5_strongsort_osnet

Real-time multi-camera multi-object tracker using YOLOv5 and StrongSORT with OSNet