Toph1995

X-Decoder

[CVPR 2023] Official Implementation of X-Decoder for generalized decoding for pixel, image and language

optuna

A hyperparameter optimization framework

MaskDINO

[CVPR 2023] Official implementation of the paper "Mask DINO: Towards A Unified Transformer-based Framework for Object Detection and Segmentation"

dino

PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO

AIC2023_Track1_Nota

Repository for 2023 AI City Challenge (Track1: Multi-Camera People Tracking)

AIC23_Track1_UWIPL_ETRI

Multi-camera-People-Tracking-With-Mixture-of-Realistic-and-Synthetic-Knowledge

Official codes of the second place for The AI City Challenge 2023 Track 1

2023AICITY_Code_From_Top_Teams

Codes From Top Teams in 2023 AIC challenge

SCIT-MCMT-Tracking

[CVPRW 2023] "Leveraging Future Trajectory Prediction for Multi-Camera People Tracking"

yolact

A simple, fully convolutional model for real-time instance segmentation.

DiffusionVID

Official Repository of the paper "DiffusionVID: Denoising Object Boxes with Spatio-temporal Conditioning for Video Object Detection"

sahi

Framework agnostic sliced/tiled inference + interactive ui + error analysis plots

fiftyone

The open-source tool for building high-quality datasets and computer vision models

review_object_detection_metrics

Object Detection Metrics. 14 object detection metrics: mean Average Precision (mAP), Average Recall (AR), Spatio-Temporal Tube Average Precision (STT-AP). This project supports different bounding box formats as in COCO, PASCAL, Imagenet, etc.

YOLOv6

YOLOv6: a single-stage object detection framework dedicated to industrial applications.

Iter-E2EDET

Official implementation of the paper "Progressive End-to-End Object Detection in Crowded Scenes"

DDQ

Dense Distinct Query for End-to-End Object Detection (CVPR2023)

BEVHeight

An official code release of our CVPR'23 paper, BEVHeight

ZoeDepth

Metric depth estimation from a single image

Depth-Anything

[CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation

LiteDepth

Official Implementation of "LiteDepth: Digging into Fast and Accurate Depth Estimation on Mobile Devices"

torchdistill

A coding-free framework built on PyTorch for reproducible deep learning studies. 🏆25 knowledge distillation methods presented at CVPR, ICLR, ECCV, NeurIPS, ICCV, etc are implemented so far. 🎁 Trained models, training logs and configurations are available for ensuring the reproducibiliy and benchmark.

BEVFormer

[ECCV 2022] This is the official implementation of BEVFormer, a camera-only framework for autonomous driving perception, e.g., 3D object detection and semantic map segmentation.

imvoxelnet

[WACV2022] ImVoxelNet: Image to Voxels Projection for Monocular and Multi-View General-Purpose 3D Object Detection

Part-Aware_Measurement_for_3D_Pose_Estimation_and_Tracking

Hau Chu, Jia-Hong Lee, Yao-Chih Lee, Ching-Hsien Hsu, Jia-Da Li, Chu-Song Chen, "Part-Aware Measurement for Robust Multi-View Multi-Human 3D Pose Estimation and Tracking", CVPR Workshop, 2021

mv3dpose

Implementation of the GCPR19 Paper "Iterative Greedy Matching for 3D Human Pose Tracking from Multiple Views"

TrackEval

HOTA (and other) evaluation metrics for Multi-Object Tracking (MOT).

rgbd-pose3d

3D Human Pose Estimation in RGBD Images for Robotic Task Learning

4d_association

code for cvpr2020 "4D Association Graph for Realtime Multi-person Motion Capture Using Multiple Video Cameras"

bevfusion

[ICRA'23] BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation