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This repository focuses on the development of a quadruped robot with 4 legs, designed for increased agility and towing capacity. It highlights the hermetic IP67 and scalable mechanical design, along with the robot's lifting capacity (10kg payload) and technical specifications.
The YOLOv12 C++ TensorRT Project in C++ and optimized using NVIDIA TensorRT
Repositories
13This repository focuses on the development of a quadruped robot with 4 legs, designed for increased agility and towing capacity. It highlights the hermetic IP67 and scalable mechanical design, along with the robot's lifting capacity (10kg payload) and technical specifications.
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The YOLOv12 C++ TensorRT Project in C++ and optimized using NVIDIA TensorRT
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Modified PyTorch implementation of SwAV https//arxiv.org/abs/2006.09882 to train into single GPU
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This repository provides a ROS2 package integrating YOLONAS with TensorRT for high-performance, real-time object detection using custom models. Easily configure input topics and models, and visualize results using RViz. Suitable for robotics applications requiring efficient and accurate detection.
Anaconda environment to train YOLONAS, to convert yolonas.onnx to TensorRT model and to test it with webcam in real time.
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