sangbumchoi Goto Github PK

alphapose_gif

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

autotrain-advanced

🤗 AutoTrain Advanced

awesome-human-pose-estimation-1

Human Pose Estimation Related Publication

background-removal-api

Background removal with machine learning model and distritbute with flask

blog

Public repo for HF blog posts

boundary-iou-api

Boundary IoU API (Beta version)

coconut_cvpr2024

cvpr-nas-2021-unseen-data-track

cvpr_mai_workshop

deform_conv2d_onnx_exporter

deta

Detection Transformers with Assignment

diffmot

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

dn-detr

[CVPR 2022 Oral]Official implementation of DN-DETR

e2e_abuse_detection

florence2-finetuning

Quick exploration into fine tuning florence 2

florence2-triton

Unofficial repository for building Florence-2 in Microsoft Azure

flowsam

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

imagenet_pretrain

Custom backbone model training on imagenet dataset

kohya_ss

learnable_triangulation_of_human_pose

lsp_dataset_augmentation

mobilehumanpose

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

onnx

Open standard for machine learning interoperability

project_pc_software_zzazz

It is a first project of making demo type which is included with several GUI programming and also computer vision technology to make sure that user feels comfortable with editing and decorating their effects

puffinplanet_project

pytorch_quantization

all methods of pytorch quantization based on resnet50

sangbumchoi.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

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-2

The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), 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