YOLOv8 Model Conversion for Pi Detection -- 7

hi, using yolov8 from ultralytics? worked with tensorflow before, lite is not a big exception. how big is your keras-cv model? asking this, because raspberry is not just limited on cpu power, but i/o is slow too.. can we chat about the project? best regards, Baris

Hi Osama M., How are you doing? As a professional developer with expertise in Raspberry Pi, Keras, YOLO, Tensorflow and Object Detection, I eagerly anticipate the opportunity to complete this project for you. Please drop me a message to discuss the project detail. Thank you for considering my services.

Hello... How are you?... I have master degree in mechatronics embedded Engineering and I have 7 years of Industrial experience in dealing with Electronics components and all type of microcontrollers like Arduino Esp32 ESP8266 Raspberry PI etc. I have done more than 500 projects on Arduino/ESP32/Raspberry pi. I have read your requirement and you want me to write code for Arduino/Raspberry PI. I can do your task easily in no time. I will send you sample of work if you ask. I have done Projects of Arduino/Raspberry PI Related to Image processing with deep Learning Algorithm. MQTT server based Projects Node Red based projects Implement all type of sensors (Motor Drivers, Stepper Motors & Servos , LCD/OLED/TFT Display, Robot Motors, Analog Sensors, GPRS / GSM , Gyroscope , Accelerometer , Pressure, Temperature & Humidity Sensor, Fingerprint sensor, Bluetooh Module, BLE Modules, Thermal Sensors, Smoke Detectors, Internet of Things) Local server based IOT projects Home Automation Quadcopters etc.... I will give you complete guide on project and you can pay after the completion of the project Since I will give you cheapest price for service because I am building my profile. Kindly contact me and we will discus the detail of task. Regards

I'm koduri, a seasoned app and web developer with a specialty in building user-centric solutions. In my 2+ years of professional experience, I've honed my skills in React, Node.js, and Python which makes me perfectly suited for this project. I have also gained extensive knowledge on object detection as a part of my work which can be particularly valuable for your YOLOv8 model conversion. Moreover, I am equally comfortable working with TensorFlow Lite as I am with keras-cv format. This means that not only can I fulfill the central task of migrating your YOLOv8 model to the latest version of TensorFlow Lite, but I'm also adept at ensuring its real-time object detection capabilities remain intact after conversion. My experience extends beyond just coding and includes practical familiarity with Raspberry Pi - an added advantage for your project. As we both know, working with Raspberry Pi for object detection requires some additional finesse. My hands-on proficiency will ensure an efficient and seamless integration of your model into Raspberry Pi after conversion.

With immense skill in Python, Tensorflow, and 5+ years of professional experience, I am confident that I can ensure a seamless conversion of your YOLOv8 model into the latest TensorFlow Lite version for Raspberry Pi. Also, my ML expertise matches perfectly with your objective to retain real-time object detection capabilities post-conversion. Having extensive knowledge not just in YOLO models but also in other valuable technologies like Django, Tesseract, and Data Scraping, I can come up with robust solutions even when faced with unexpected complexities. My proficiency in TensorFlow and hands-on experience with Raspberry Pi qualify me to understand and solve issues specific to this undertaking. In addition to my technical competence, I pride myself on constant communication and receptiveness to feedback. Rest assured, throughout the project, I will make sure you are always in the loop about progress and challenges while staying devoted to maintaining your satisfaction as our top priority. It would be an honor to bring my two decades of professional experience into such an exhilarating project!

As an experienced Full-Stack Developer, I have a proven track record of delivering high-quality projects on time, which includes successful object detection model conversions. My familiarity with TensorFlow Lite and YOLO models makes me an excellent fit for your project. I understand the importance of maintaining the real-time object detection capabilities of your YOLOv8 model for Raspberry Pi usage, and I assure you that this functionality will be preserved after conversion. My AI skillsets comprehensively cover all aspects of object detection, image processing, and computer vision—exactly what your project demands. Identifying this and applying my proficiency in Tensorflow and Keras-CV to ensure seamless model conversion is guaranteed. My clients can attest to my responsiveness, availability for emergency modifications, and my unwavering dedication to meeting their needs; this project would not be an exception. In conclusion, I am confident that my unique set of abilities and vast experience in AI projects position me as the ideal freelancer for your project. Given the opportunity, I will leverage my deep learning and object detection prowess to ensure a successful conversion of your YOLOv8 model into TensorFlow Lite whilst preserving its crucial real-time functionalities for Raspberry Pi usage. Looking forward to discussing this project further with you!

Dear Sir/Maam Having carefully reviewed your requirements, I am confident in my ability to deliver the results you need for this project. I am willing to exceed your expectations and am available round the clock to provide assistance whenever needed. I kindly request the opportunity to work on this project, and I assure you that the outcome will be nothing short of 100% satisfaction. Thank you for your consideration. Best regards, Muhammad Sohaib