Computer Vision Feature Map Pipeline

This template is designed based on professional computer vision flowcharts, deeply analyzing the full process of object detection models (including Conv/Pool/BatchNorm/LeakyReLU/ReLU/Tanh/Softmax layers) and feature analysis. The drawing type is a high-precision technical flowchart with a blue/green/yellow/red color system for functional modules and a light blue gradient background. The left side displays the full-layer structure of dual object detection models, the middle integrates predictor, voting strategy (Affirmative/Consensus dual modes), feature extractor, classifier, and bounding box generation modules. The right side highlights gradient map heatmaps, weighted feature map color coding, and Eigen Cam 3D visualization after upsampling. Target users include computer vision engineers, deep learning researchers, and algorithm developers, applicable to scenarios such as object detection algorithm design verification, model optimization debugging, feature visualization analysis, academic research illustrations, and engineering development documentation.