CV-CUDA
pipeless
CV-CUDA | pipeless | |
---|---|---|
1 | 7 | |
2,200 | 104 | |
4.1% | - | |
5.5 | 10.0 | |
9 days ago | 7 months ago | |
C++ | Python | |
GNU General Public License v3.0 or later | Apache License 2.0 |
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CV-CUDA
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Microsoft, Tencent, Baidu Adopting Nvidia CV-CUDA for Computer Vision AI
I'm not familiar with CV-CUDA but it looks interesting.The github may be made useful than the press release: https://github.com/CVCUDA/CV-CUDA
pipeless
- Computer vision at the edge with Nvidia Jetson in 2 commands
- Creating a computer vision app in minutes with just two Python functions
- Simplifying Computer Vision: A Journey with Pipeless
- Playing a piano with your eyes - Gaze estimation
- Stateless vs Stateful hooks in your computer vision applications with Pipeless
- Navigating computer vision development
- Deploying an object detection application to the cloud using Kubernetes and Helm
What are some alternatives?
3DUNDERWORLD-SLS-GPU_CPU - A structured light scanner
Savant - Python Computer Vision & Video Analytics Framework With Batteries Included
Axomae - A texture baking tool / 3D viewer
tennis-tracking - Open-source Monocular Python HawkEye for Tennis
Open3D - Open3D: A Modern Library for 3D Data Processing
pipeless - An open-source computer vision framework to build and deploy apps in minutes
cudf - cuDF - GPU DataFrame Library
pipelessassets
cutlass - CUDA Templates for Linear Algebra Subroutines
FLAVR - Code for FLAVR: A fast and efficient frame interpolation technique.
AI-basketball-analysis - :basketball::robot::basketball: AI web app and API to analyze basketball shots and shooting pose.
nvidia-auto-installer-for-fedora - A CLI tool which lets you install proprietary NVIDIA drivers and much more easily on Fedora Linux (32 or above and Rawhide) [Moved to: https://github.com/t0xic0der/nvidia-auto-installer-for-fedora-linux]