Custom YOLOv5 Model Deployment on ELF2 Development Board

Prepraing Custom Dataset Organize VOC-format dataset with this directory structure: VOC_CUSTOM/ ├── Annotations/ ├── ImageSets/ │ └── Main/ └── JPEGImages/ Execute dataset splitting script: # dataset_split.py import os import random import argparse parser = argparse.ArgumentParser() parser.add_argument('--xml_path', default='Annotations/', ...

Posted on Fri, 31 Jul 2026 16:42:10 +0000 by richardjh

Running YOLOv5s Model on AX650 Development Board

Enviroment Setup For boards without network connectivity, configure the network connection first. apt update apt install build-essential libopencv-dev cmake apt install wget git vim apt install python3-pip cd /root python3 -m venv ort source /root/ort/bin/activate After enstalling these packages, the board will have the necessary build environ ...

Posted on Tue, 21 Jul 2026 17:17:09 +0000 by Tanus

Getting Started with OrangePi AIpro Development Board

OrangePi AIpro Overview Hardware Specifications The OrangePi AIpro is a high-performence AI development board featuring: Component Details Processor 4-core 64-bit ARM (1 core reserved for AI) AI Accelerator Huawei Ascend 310B (4 TFLOPS FP16, 8 TOPS INT8) Memory 8GB/16GB LPDDR4X @ 3200Mbps Storage 32MB SPI Flash, microSD slot, eMMC ...

Posted on Mon, 08 Jun 2026 17:14:30 +0000 by tymlls05

Flask-Based Web Interface for YOLOv5 Object Detection on Images and Videos

This guide demonstrates how to wrap the YOLOv5 model in a lightweight Flask service that lets users upload an image or a short video, view the detections in the browser, and download the annotated result. What the service provides Drag-and-drop or click-to-upload for images and MP4 videos. Real-time preview of the original and processed media. ...

Posted on Fri, 15 May 2026 15:14:41 +0000 by DeltaRho2K

Architectural Breakdown and Operational Workflow of YOLOv5

Model Parameter Profiling Utility functions in torch_utils facilitate the analysis of model complexity, including layer counts, parameter volumes, and computational load (FLOPs). The following snippet demonstrates how to aggregate parameter statistics and estimate floating-point operations using a dummy input tensor aligned with the model's str ...

Posted on Mon, 11 May 2026 10:06:51 +0000 by smith.james0