Production-ready YOLO8 Segmentation deployment with TensorRT and ONNX support for CPU/GPU, including AI model integration guidance for Unitlab Annotate.
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Updated
Feb 29, 2024 - Python
Production-ready YOLO8 Segmentation deployment with TensorRT and ONNX support for CPU/GPU, including AI model integration guidance for Unitlab Annotate.
Tracking, counting and speed estimation using yolo8
Demo of stable diffusion 2.0 applied to Yolo8 detected / segmented objects
Use the ArUco marker to calculate the relative coordinates and move Turtlebot3 to the corresponding location. Recognize a small box as an object with yolo8, pick it up with the manipulator, and place it on the conveyor belt. Pick up the box again at the end of the conveyor belt and move it to the unloading area.
A YOLO instance segmentation model in practice. Identifying and outlining common objects in images.
This Python project contain Detecting objects with webcam and recorded video footage, Counting the numbers of cars in a lane, counting numbers of people in an elevator and Personal protective equipment (PPE) Detector with Train custom model. Nothing just a hand touch to CV project to know what it acctually dose!! Hope it will make sense to you.
AMR robots linking with ros2, gazebo, and rviz2 to collect trash around a park
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