Alpha Model

Release Notes - v0.0.2

We are excited to announce the release of version 0.0.2 for the Yolov7-Intel-Optimized repository! This update brings several enhancements and improvements to further enhance your object detection experience. Here's what's new:

1. Improved Inference Speed: We have optimized the model's inference process with Intel Extension and OpenVINO, resulting in significantly faster detection speeds. Enjoy smoother and quicker object detection on Intel architectures.

2. Updated PyTorch Compatibility: The repository now supports the latest version of PyTorch, ensuring seamless integration and compatibility with the most recent advancements in the PyTorch ecosystem.

3. Bug Fixes: We have addressed several reported issues and fixed bugs encountered in the previous version. This release brings enhanced stability and reliability to the Yolov7-Intel-Optimized model.

4. Documentation Updates: We have expanded and improved the documentation, providing detailed instructions on model usage, installation, and optimization with Intel Extension and OpenVINO. You'll find it easier than ever to get started and make the most out of the model's capabilities.

We are committed to continuous improvement, and your feedback plays a crucial role in shaping future updates. If you encounter any issues or have suggestions for further enhancements, please don't hesitate to reach out to us. We hope you enjoy using the Yolov7-Intel-Optimized model and that it brings significant value to your object detection tasks.

Thank you for your continued support!

Best regards,
Team Ai Artistss