OutofAi/cudacanvas

Python Module for PyTorch Tensor Visualisation in CUDA Eliminating CPU Transfer

40
/ 100
Emerging

This tool helps machine learning scientists and engineers visualize images directly from PyTorch tensors during model training or evaluation. It takes raw image data stored as PyTorch tensors on a CUDA-enabled GPU and displays them in a window, making it easy to monitor image generation or processing in real-time. This is ideal for those working with deep learning models, especially in computer vision.

No commits in the last 6 months. Available on PyPI.

Use this if you are a machine learning scientist or engineer training PyTorch models on a GPU and need to see image outputs immediately without slowing down your workflow.

Not ideal if you primarily work with CPU-based PyTorch models or require advanced image plotting and analysis features beyond simple display.

machine-learning-engineering deep-learning computer-vision model-training real-time-monitoring
Stale 6m
Maintenance 0 / 25
Adoption 7 / 25
Maturity 25 / 25
Community 8 / 25

How are scores calculated?

Stars

41

Forks

3

Language

Python

License

MIT

Last pushed

Jan 30, 2025

Commits (30d)

0

Dependencies

1

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/OutofAi/cudacanvas"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.