中文
R
niQin shared an aphorism: I returned and saw under the sun, that the race is not to the swift, nor the battle to the strong, neither yet bread to the wise, nor yet riches to men of understanding, nor yet favour to men of skill; but time and chance happeneth to them all. -- 《圣经》
For data outside this website, summary aggregation only; without any storage, and the access address is the link of the source website. If there is anything improper, please contact ask@rusthub.org.

Algorithm & Library YOLOv8 Model Conversion for Pi Detection -- 6 freelancer

Data aggregation at 2024-04-20 18:58:54+08:00

Hits: 39

💥 Project Description

Investment: 600 dollars (USD) - Negotiated

Development duration: 5 days

Project keys/tags: raspberry-pi tensorflow keras object-detection yolo

I own a YOLOv8 model formatted in keras-cv and need a skilled professional to convert it into the latest version of TensorFlow Lite. The crucial function of my model is its real-time object detection capabilities. The objective is to utilize this model for object detection on a Raspberry Pi, and this functionality must be maintained post-conversion. Ideal Skills and Experience: - Proficiency in TensorFlow Lite - Experience in YOLOv8 model - Familiarity with keras-cv format - Experience working with Raspberry Pi - Proven track record in object detection models conversion.

Project examples: -

Project files: To download project files, please Sign in JunHen

💥 Recruitment conditions

Recruitment role: Person - Engineer

Recruitment description: -

💥 Contact information

Contact person:

To view contact details of project, please Sign in JunHen


This website only provides data aggregation without any legal responsibility. Please identify the risks by yourself and beware of being deceived.