pipeless
PixelLib
pipeless | PixelLib | |
---|---|---|
24 | 3 | |
656 | 1,018 | |
6.4% | - | |
9.7 | 0.0 | |
13 days ago | 8 months ago | |
Rust | Python | |
Apache License 2.0 | MIT License |
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.
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.
PixelLib
- YOLOv6: Redefine state-of-the-art for object detection
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To separate objects detected from a video using PixelLib
This is the code, found from the reference here.
- New Project In Computer Vision For Beginner
What are some alternatives?
FaceFusion - Next generation face swapper and enhancer
Human-Segmentation-PyTorch - Human segmentation models, training/inference code, and trained weights, implemented in PyTorch
ffmpeg-sidecar - Wrap a standalone FFmpeg binary in an intuitive Iterator interface. 🏍
sahi - Framework agnostic sliced/tiled inference + interactive ui + error analysis plots
CPPE-Dataset - Code for our paper CPPE - 5 (Medical Personal Protective Equipment), a new challenging object detection dataset
FasterRCNN - Clean and readable implementations of Faster R-CNN in PyTorch and TensorFlow 2 with Keras.
wgpu - A cross-platform, safe, pure-Rust graphics API.
rembg-greenscreen - Rembg Video Virtual Green Screen Edition
opencopilot - 🕊️ Build and embed open-source AI Copilots into your product with ease
mask-rcnn - Mask-RCNN training and prediction in MATLAB for Instance Segmentation
tennis-tracking - Open-source Monocular Python HawkEye for Tennis
fashion-segmentation - A tensorflow model for segmentation of fashion items out of multiple product images