CPPE-Dataset
pipeless
| CPPE-Dataset | pipeless | |
|---|---|---|
| 1 | 24 | |
| 64 | 647 | |
| - | 5.1% | |
| 2.1 | 9.7 | |
| about 1 year ago | 2 days ago | |
| Python | Rust | |
| Apache License 2.0 | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
CPPE-Dataset
pipeless
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Vision AI agents for any task
After spending some months working on the Pipeless open-source framework, today I bring something new and really cool: Pipeless Agents
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Computer vision at the edge with Nvidia Jetson in 2 commands
pipeless init my-project --template empty # Using the empty template we avoid the interactive shell cd my-project wget -O - https://github.com/pipeless-ai/pipeless/archive/main.tar.gz | tar -xz --strip=2 "pipeless-main/examples/yolo"
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Creating a computer vision app in minutes with just two Python functions
wget -O - https://github.com/pipeless-ai/pipeless/archive/main.tar.gz | tar -xz --strip=2 "pipeless-main/examples/onnx-yolo"
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Simplifying Computer Vision: A Journey with Pipeless
Check the live demo in the website
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Playing a piano with your eyes - Gaze estimation
The code is available in the Pipeless GitHub repository: https://github.com/pipeless-ai/pipeless/tree/main/examples/yolo
- Stateless vs Stateful hooks in your computer vision applications with Pipeless
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Navigating computer vision development
Recently, a new alternative called Pipeless has appeared. Pipeless is an open-source framework that focuses on providing a great development experience and out-of-the-box performance. It offers a really easy stream management allowing you to add, edit, and remove streams on the fly as well as processing multiple streams. Furthermore, it offers you the possibility to deploy the applications either to the cloud or directly to embedded or edge devices.
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Serverless development experience for embedded computer vision
You can find the repo here: https://github.com/pipeless-ai/pipeless
Pipeless is an open-source computer vision framework that ships everything you need to build and deploy computer vision applications really fast.
What are some alternatives?
DikeDataset - Dataset with labeled benign and malicious files 🗃️
FaceFusion - Next generation face swapper and enhancer
analog-watch-recognition - Reading time from analog clocks
wgpu - Cross-platform, safe, pure-rust graphics api.
Open3D-ML - An extension of Open3D to address 3D Machine Learning tasks
ffmpeg-sidecar - Wrap a standalone FFmpeg binary in an intuitive Iterator interface. 🏍
robotics-level-4 - This repo contains projects created using TensorFlow-Lite on Raspberry Pi and Teachable Machine. AI and ML capabilities have been integrated with Robot's software.
opencopilot - 🕊️ Build and embed open-source AI Copilots into your product with ease
tsdf-fusion-python - Python code to fuse multiple RGB-D images into a TSDF voxel volume.
PixelLib - Visit PixelLib's official documentation https://pixellib.readthedocs.io/en/latest/
Kornia - Geometric Computer Vision Library for Spatial AI
tennis-tracking - Open-source Monocular Python HawkEye for Tennis