YOLOv5

Android

YOLOv5 on Android – Coding

This article explains how to use YOLOv5 to detect objects in Android camera streams in a two-part series. This article describes the coding.
Android

YOLOv5 on Android – Settings

This two-part article explains how to use YOLOv5 to detect objects in Android camera streams. This article describes the settings file.
ncnn

How to convert YOLOv5 model to ncnn model

This article explains how to convert a YOLOv5 PyTorch model to an ncnn model, and also explains the modified part of the YOLOv5 sample code for ncnn when converting to the ncnn model.
OpenCV

How to handle Video and Audio with OpenCV

This article explains how to process audio while processing video with OpenCV. The audio will be processed using pyaudio. An example of an application that processes both video and audio is also explained.
ncnn

YOLOv5 and YOLOv7 with ncnn on Jetson Nano

This article explains how to install ncnn and run YOLOv5 and YOLOv7 on Jetson Nano using the ncnn framework. It also explains what to do if ncnn fails to build and what to do if the camera FPS is not as expected.
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.
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.
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.
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.