pipeless
tennis-tracking
pipeless | tennis-tracking | |
---|---|---|
24 | 8 | |
656 | 362 | |
6.4% | 6.1% | |
9.7 | 0.0 | |
9 days ago | 3 months ago | |
Rust | Python | |
Apache License 2.0 | The Unlicense |
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
-
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
-
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"
-
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"
-
Simplifying Computer Vision: A Journey with Pipeless
Check the live demo in the website
-
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
-
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.
-
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.
tennis-tracking
- Open-Source Monocular Python HawkEye for Tennis
- GitHub - ArtLabss/tennis-tracking: Open-source Monocular Python HawkEye for Tennis
- Tennis HawkEye in Python
- We created an open-source software to track tennis matches
- We Created an Automatic Tennis Match Tracking Software
- We Made an Open-Source Tennis Match Tracking Software
- We Made an Open-Source Hawkeye for Tennis Match Tracking
-
Open Source Hawkeye for Tennis
Check out our new open source tennis tracking repository which tracks the ball, players, detects the court and optionally creates a dynamic mini map with all the event happening on the court! Tennis Tracking
What are some alternatives?
FaceFusion - Next generation face swapper and enhancer
pipeless - An open-source computer vision framework to build and deploy apps in minutes without worrying about multimedia pipelines [Moved to: https://github.com/pipeless-ai/pipeless]
ffmpeg-sidecar - Wrap a standalone FFmpeg binary in an intuitive Iterator interface. 🏍
AI-basketball-analysis - :basketball::robot::basketball: AI web app and API to analyze basketball shots and shooting pose.
CPPE-Dataset - Code for our paper CPPE - 5 (Medical Personal Protective Equipment), a new challenging object detection dataset
ScaledYOLOv4 - Scaled-YOLOv4: Scaling Cross Stage Partial Network
wgpu - A cross-platform, safe, pure-Rust graphics API.
yolov3 - YOLOv3 in PyTorch > ONNX > CoreML > TFLite
opencopilot - 🕊️ Build and embed open-source AI Copilots into your product with ease
ONNX-YOLOv7-Object-Detection - Python scripts performing object detection using the YOLOv7 model in ONNX.
PixelLib - Visit PixelLib's official documentation https://pixellib.readthedocs.io/en/latest/