YOLOv8 Model Conversion for Pi Detection -- 2

Dear laczmx, Do you have any preference or requirement for the output format or model size after the conversion to TensorFlow Lite? With over 30 years of experience in electronics design, circuitry, and PCB design, I am excited to express my interest in the opportunity to convert your YOLOv8 model to TensorFlow Lite for real-time object detection on a Raspberry Pi. I am confident in my ability to deliver exceptional results for your project. 1. I will develop a custom circuit that meets the specific requirements of your distance determining device. Emphasis will be placed on minimizing footprint, optimizing power consumption, and ensuring reliable performance. 2. I will focus on optimizing the circuit layout to minimize power consumption while maintaining the desired functionality of the device. 3. I will be done with precision and attention to detail, ensuring seamless functionality and accurate distance measurement. Compatibility with the existing FPGA prototype will be ensured to maintain consistency and reliability. I'm excited about the opportunity to contribute my expertise to this project and deliver a seamlessly converted YOLOv8 model for real-time object detection on Raspberry Pi. Best Regards, Hari Mohan

With over 8 years of experience in diversified tech roles, one of the hallmarks of my career has been my ability to quickly and effectively adapt to new technologies and domains. I am proficient in TensorFlow and have experience with the YOLOv8 model, which makes me a perfect fit for your project. Additionally, I am well-versed in TensorFlow Lite and have successfully done numerous object detection models conversions. Your project's objective of maintaining real-time object detection capabilities on a Raspberry Pi aligns perfectly with my skills and past experience. Thank you

Drawing from my data expertise and mastery of TensorFlow Lite, I am well-positioned to successfully convert your YOLOv8 model into the latest version of TensorFlow Lite. Moreover, I bring a wealth of experience with YOLOv8 models and familiarity with keras-cv format. Combined with my background in Raspberry Pi and proven track record in object detection models conversion, I am confident that I can maintain the crucial functionality of your real-time object detection system post-conversion. Adding to my technical skillset, I approach every project with a deep passion for pushing boundaries. My previous work with cutting-edge techniques such as LangChain and OpenAI perfectly complements this project's need for creativity and innovative approach. Additionally, my commitment to your success goes beyond just delivering the project; it includes stimulating meticulousness throughout every step and ensuring that the models exceed your expectations. With me by your side, we'll not only meet but surpass your project's goals while simultaneously capturing the essence of technical creativity.