AWS How to use YOLOv5 on AWS Lambda
This article explains how to run YOLOv5 with AWS Lambda. OpenCV is used to run YOLOv5. A brief explanation of AWS Lambda and how to use AWS SAM is also provided.
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AWS 
YOLOv5 YOLOv5 with Oriented Bounding Box
This article explains learning and inference for object detection using Oriented Bounding Box (OBB) with YOLOv5. Google Coraboratory is used for training and its usage is also explained.
Jetson Nano Jetson Nano – YOLOv5 with CSI-2 Camera
This article explains how to run YOLOv5 on a Jetson Nano with a CSI-2 camera. Install the pre-built package and patch YOLOv5 to run YOLOv5.
Annotation Oriented Bounding Box – Annotation
This article explains how to annotate Oriented Bounding Boxes. The annotation tool labelImage2 is used. The created annotation data is also explained.
YOLOv5 Save video only object detected using YOLOv5
This article explains how to use YOLOv5 to store only the videos in which objects are detected in the cloud. It also explains how to save the detected video to the AWS cloud.
YOLOv7 YOLOv7 on Jetson Nano
This article explains how to run YOLOv7 on the Jetson Nano, and as explained in the YOLOv5 article, it is possible to run YOLOv7 without problems if PyTorch is installed.
Docker Building Jetson Nano libraries on host PC
This article explains how to build the Jetson Nano's PyTorch and OpenCV libraries on the host PC. Finally, we will summarize the build speed.
Linux How to run aarch64 binary on host PC
This article explains how to run aarch64 binaries on an x86_64 host PC, explains how binfmt works, executes the qemu-user-static sample, creates aarch64 binary, and executes it on an x86_64 host PC.
YOLOv5 YOLOv5 with OpenCV on Jetson Nano
This article explains how to run YOLOv5 on the Jetson Nano using OpenCV built with CUDA and cuDNN enabled.
OpenCV OpenCV build on Jetson Nano
How to build OpenCV on Jetson Nano. The default python3 version for Jetson Nano is 3.6, but this article explains how to build OpenCV with CUDA, cuDNN enabled on python3.8.