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1. Environment Setup and GPU Verification Before leveraging multiple GPUs, confirm that CUDA is properly configured and all device are accessible. Darknet uses environment variables and compilation flags to manage GPU resources. Validate CUDA: Run nvcc --version to check the CUDA toolkit version. Use nvidia-smi to list all available GPUs and t ...

Overview The Ultralytcis ecosystem ships with a lightweight Annotator utility that can overlay detection masks, bounding boxes, oriented boxes, and keypoints on any image or video stream. The snippets below demonstrate typical use-cases. Interactive sweep counter on a video The following example tracks every object that crosses a user-draggable ...

Attention mechanisms have significantly improved the performance of deep learning models in computer vision tasks. This article provides an overview of several popular attention modules that can be easily integrated into object detection models like YOLOv5, YOLOv7, YOLOv8, YOLOv9, and YOLOv10. SE Paper: Squeeze-and-Excitation Networks Link: arX ...

GPU Driver Installation Identify your NVIDIA GPU model and download the appropriate driver from NVIDIA's official site. For example, with a GTX 1080 Ti: Remove any exisitng NVIDIA drivers: sudo apt-get remove --purge nvidia\* Disable the open-source nouveau driver by creating a blacklist file: sudo tee /etc/modprobe.d/blacklist-nouveau.conf &l ...