You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
We are looking for contributors to develop new, engaging demos that showcase the capabilities of the OpenVINO toolkit. These demos will be used at Intel booths during events to highlight the optimization and acceleration of AI applications. Your demo should be interactive, visually appealing, and demonstrate real-time AI inference.
This project will involve Python programming; basic experience with AI models from frameworks like PyTorch, TensorFlow, OpenVINO, or ONNX is beneficial. To learn more about the OpenVINO toolkit, visit the documentation here.
Steps:
Develop a New Demo:
Create a demo that showcases additional capabilities of OpenVINO, such as support for new AI models or integration with other technologies.
Ensure the demo provides results within a reasonable time frame (less than 15-20 seconds).
Ensure the demo runs on a Github CI.
Enhance User Experience:
Implement optimizations (for example, via model quantization) to reduce latency and improve the efficiency of AI inference.
Optionally, add features such as real-time data visualization and user input handling to make the demo more engaging (see existing demos for examples).
Documentation:
Provide clear and detailed documentation for setting up and running the demo.
Include comments in the code to explain key sections and logic.
Description
We are looking for contributors to develop new, engaging demos that showcase the capabilities of the OpenVINO toolkit. These demos will be used at Intel booths during events to highlight the optimization and acceleration of AI applications. Your demo should be interactive, visually appealing, and demonstrate real-time AI inference.
This project will involve Python programming; basic experience with AI models from frameworks like PyTorch, TensorFlow, OpenVINO, or ONNX is beneficial. To learn more about the OpenVINO toolkit, visit the documentation here.
Steps:
Develop a New Demo:
Enhance User Experience:
Documentation:
How to Get Started:
We look forward to your contributions and seeing the innovative demos you build!
The text was updated successfully, but these errors were encountered: