padeler/PE-former
2D Human Pose estimation using transformers. Implementation in Pytorch
This project provides tools for 2D human pose estimation, a task that identifies key joints on a person's body from an image. It takes a standard image containing people as input and outputs the predicted coordinates for each body joint. This is useful for researchers and engineers developing applications in fields like sports analytics, activity monitoring, or human-computer interaction.
No commits in the last 6 months.
Use this if you are developing computer vision systems that need to accurately locate human body joints in images, without relying on traditional convolutional neural networks.
Not ideal if you are a non-technical user looking for a pre-built application or a simple API for pose estimation without custom model training.
Stars
34
Forks
7
Language
Python
License
Apache-2.0
Category
Last pushed
Jan 14, 2022
Commits (30d)
0
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