SangbumChoi

MobileHumanPose

This repo is official PyTorch implementation of MobileHumanPose: Toward real-time 3D human pose estimation in mobile devices(CVPRW 2021).

PyTorch_Quantization

all methods of pytorch quantization based on resnet50

CVPR-NAS-2021-Unseen-Data-Track

Florence2

Unofficial repository for building Florence-2 in Microsoft Azure

Vehicle_Basline

vehicle re-identification baseline for veri and vehicleID dataset for custom training

AlphaPose_GIF

BetaPose description and also gif adding system included to display on the video

awesome-human-pose-estimation-1

Human Pose Estimation Related Publication

boundary-iou-api

Boundary IoU API (Beta version)

CVPR_MAI_Workshop

deform_conv2d_onnx_exporter

DETA

Detection Transformers with Assignment

DN-DETR

[CVPR 2022 Oral]Official implementation of DN-DETR

ImageNet_Pretrain

Custom backbone model training on imagenet dataset

SuperbAR

SuperbMobile

transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

YOLOv6

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

autotrain-advanced

🤗 AutoTrain Advanced

coconut_cvpr2024

DiffMOT

code for CVPR2024 paper: DiffMOT: A Real-time Diffusion-based Multiple Object Tracker with Non-linear Prediction

e2e_abuse_detection

flowsam

Official Implementation of "Moving Object Segmentation: All You Need Is SAM (and Flow)" Junyu Xie, Charig Yang, Weidi Xie, Andrew Zisserman

kohya_ss

lsp_dataset_augmentation

onnx

Open standard for machine learning interoperability

PuffinPlanet_Project

segment-anything

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

segment-anything-fast

A batched offline inference oriented version of segment-anything

SfmLearner-VNL-Pytorch

Pytorch version of SfmLearner and VNL from Tinghui Zhou et al.

sn-spotting

Repository containing all necessary codes to get started on the SoccerNet Action Spotting challenge. This repository also contains several benchmark methods.