Ecosystem

What's Supervisely? Sign in Create an account
Home › apps ›

Serve ViTPose

Deploy model as REST API service

apps neural network images pose estimation keypoints detection serve development
Get in Supervisely View at GitHub
Readme Releases 29

Details

  • Module ID226
  • Released on2023-03-01 17:01:16
  • Last updated2023-03-19 17:29:44
  • Docker imagesupervisely/mmpose-demo:1.0.1

Requirements

  • Instance version6.7.16
  • Needs GPUYes

Resources

  • Repository
  • Report an issue
  • Slack community
  • Documentation

Similar

 144

Apply Detection and Pose Estimation Models to Images Project

Label project images using detector and pose estimator

 2K+

Train YOLOv5

Dashboard to configure and monitor training

 4K+

RITM interactive segmentation SmartTool

State of the art object segmentation model in Labeleing Interface

 1K+

Serve YOLOv5

Deploy model as REST API service

 2K+

Batched Smart Tool

Batched smart labeling tool for Images

Drop us a line at
hello@supervise.ly
Labeling tools
  • Image labeling
  • Video labeling
  • LiDAR labeling
  • DICOM labeling
Labeling automation
  • AI-assisted labeling
  • Custom labeling UI
  • Labeling services
Data and users
  • Data management
  • User collaboration
  • Quality assurance
  • Security & permissions
Neural networks
  • Train, serve & apply
  • Query and transform
  • Visualize, analyze & improve
  • Generate synthetic data
Platform
  • About ecosystem
  • What's a Supervisely App?
  • API and SDK automation
  • Feature comparison
For business
  • Enterprise edition
  • Pricing
  • Partnership
  • Contact us
Company
  • About us
  • Terms of Service
  • Privacy Policy
Resources
  • Developer docs
  • Community forum
  • Slack chat
  • Ecosystem index
© 2023 Supervisely OÜ. All rights reserved.
Built with icons8, freepik, slidesgo.