监督检测识别：轻量化YOLOv5s主干搭配ECA注意力模块，完成9种植物叶片目标检测分类；测试集分类准确率91.11%，CPU ...

Four methods that completely change how you work with data. forEach just loops. map transforms every item and gives you a new array. filter keeps only what passes your condition. And reduce — reduce ...

# Fight Detection System This project uses YOLOv8 and PyQt5 to create a real-time detection system for fights. The system detects fighting events in images or video streams.

🚀 Data-Driven Pipeline Integrity Here’s a snapshot from our in-house Python code that processes In-Line Inspection (ILI) data for pipelines. The plots show the axial and circumferential dent profiles ...