【Sewer AI EP.2】YOLOv8 AutoPlot: Defect Detection to Automated Report

Описание: Welcome to Episode 2 of the 【Sewer AI Inspection】 Deep Learning Series! Tired of manual reporting? This tutorial provides a hands-on demo of YOLOv8 with AutoPlot to automatically convert Sewer Pipe Defect Detection results into clear, standardized Inspection Reports. We dive deep into achieving AI Reporting Automation, a crucial step for real-world YOLOv8 implementation in industrial settings!

歡迎來到 【AI管線檢測】 系列第二集！
【AI管線 EP.2】YOLOv8 AutoPlot：缺陷辨識到報告自動生成

AI 檢測完畢，但如何生成專業報告？
在本影片中，我們將實戰演示 YOLOv8 搭配 AutoPlot 自動繪圖 功能，教您將下水道缺陷辨識結果，快速轉換為清晰、標準化的缺陷報告。

這是將 AI 技術落地應用的關鍵一步！

⚠️ 影片較短 (54 秒)，請記得回頭觀看 EP.1 了解 YOLOv8 基礎架構！

👉 本集重點時間軸 (Timestamps):
0:02 | AI Dinosaurs = Snake (python) + Elephant (SQL)
0:08 | The alien snapped its fingers and changed the world.
0:11 | Autorun Plot Script
0:16 | Loading CSV to Plot (YOLOv8 to CSV)
0:25 | Intruction CSV format recorded (YOLOv8, OCR)
0:35 | AutoPlot | Classification vs. Distance (heatmap)
0:42 | AutoPlot | Distance vs. Confidence (scatter)
0:47 | Stack | python, matplotlib (cutscene)
0:51 | AI-Dinosaur | Requirment Item

🔗 【AI 管線檢測】系列播放清單 (立即追蹤所有集數！):
⏮️ 前一集 EP.1 (YOLOv8 基礎展示)：   • 【Sewer AI EP.1】YOLOv8 Deep Learning in Act...  

#nvidia #RTX4060 #GPU #imagerecognition #AIpowered #detect #sewers #pipe #yolo #python #matplotlib #heatmap #scatter #autoplot #csv

#YOLOv8 #AutoPlot #報告生成 #AI管線檢測 #下水道缺陷辨識 #自動化報告 #深度學習實戰 #AI #Dinosaurs #CCTV檢測