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10__1.6-传统检测算法流程[防断更微mmj4408].vep
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11__1.7-基于深度学习的目标检测流程和分类[防断更微mmj4408].vep
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12__1.8-脑图时刻[防断更微mmj4408].vep
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13__1.9-anchor-base算法结构[防断更微mmj4408].vep
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14__2.1-RCNN详解[防断更微mmj4408].vep
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15__2.2-SPPNet详解[防断更微mmj4408].vep
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16__2.3-Fast RCNN详解[防断更微mmj4408].vep
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17__2.4-Faster RCNN详解[防断更微mmj4408].vep
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18__2.5-one-stage算法引入+脑图时刻[防断更微mmj4408].vep
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19__2.6 二阶段目标检测参考资料（图文）[防断更微mmj4408].html
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1__《深度学习之目标检测》直播答疑03[防断更微mmj4408].vep
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20__3.1-YOLOv1讲解[防断更微mmj4408].vep
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21__3.2-YOLOv2讲解[防断更微mmj4408].vep
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22__3.3-YOLOv3讲解[防断更微mmj4408].vep
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23__3.4-YOLOv4讲解[防断更微mmj4408].vep
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24__3.5-YOLOv5讲解[防断更微mmj4408].vep
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25__3.6 一阶段目标检测参考资料（图文）[防断更微mmj4408].html
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26__4.1-YOLO v3工业缺陷检测实战-原理回顾[防断更微mmj4408].vep
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27__4.2-YOLO v3工业缺陷检测实战-数据集介绍[防断更微mmj4408].vep
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28__4.3.1-YOLO v3工业缺陷检测实战-主干网络代码讲解[防断更微mmj4408].vep
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29__4.3.2-YOLO v3工业缺陷检测实战-Neck+Head部分代码讲解[防断更微mmj4408].vep
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2__《深度学习之目标检测》直播答疑02[防断更微mmj4408].vep
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30__4.3.3-YOLO v3工业缺陷检测实战-解码过程讲解[防断更微mmj4408].vep
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31__4.3.4-YOLO v3工业缺陷检测实战-前向推理代码讲解[防断更微mmj4408].vep
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32__4.4-YOLO v3工业缺陷检测实战-模型训练[防断更微mmj4408].vep
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33__4.5-YOLO v3工业缺陷检测实战-模型测试.vep[防断更微mmj4408].vep
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34__5.1-FasterRCNN原理回顾[防断更微mmj4408].vep
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35__5.2-数据集介绍[防断更微mmj4408].vep
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36__5.3.1-主干网络代码讲解[防断更微mmj4408].vep
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37__5.3.2-RPN网络代码讲解[防断更微mmj4408].vep
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38__5.3.3-Head部分代码讲解[防断更微mmj4408].vep
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39__5.3.4-前向推理代码详解[防断更微mmj4408].vep
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3__《深度学习之目标检测》直播答疑01[防断更微mmj4408].vep
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40__5.3.5-训练部分详解[防断更微mmj4408].vep
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41__5.4-权重文件处理知识+本期内容整体梳理[防断更微mmj4408].vep
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42__6.1-Anchor free引入[防断更微mmj4408].vep
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43__6.2-Densebox详解（上）[防断更微mmj4408].vep
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44__6.2-Densebox详解（中）[防断更微mmj4408].vep
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45__6.2-Densebox详解（下）[防断更微mmj4408].vep
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46__6.3-CornerNet详解（上）[防断更微mmj4408].vep
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47__6.3-CornerNet详解（中）[防断更微mmj4408].vep
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48__6.3-CornerNet详解（下）[防断更微mmj4408].vep
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49__6.4-CenterNet详解（上）[防断更微mmj4408].vep
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4__0-课程简介[防断更微mmj4408].vep
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50__6.4-CenterNet详解（中）[防断更微mmj4408].vep
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51__6.4-CenterNet详解（下）[防断更微mmj4408].vep
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52__6.5-Anchor-free参考资料（图文）[防断更微mmj4408].html
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53__7.1-印刷电路板数据集介绍[防断更微mmj4408].vep
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54__7.2-CenterNet原理回顾（上）[防断更微mmj4408].vep
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55__7.2-CenterNet原理回顾（下）[防断更微mmj4408].vep
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56__7.3-前向推理代码详解[防断更微mmj4408].vep
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57__7.4-训练过程代码详解（上）[防断更微mmj4408].vep
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58__7.4-训练过程代码详解（下）[防断更微mmj4408].vep
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59__7.5-内容总结[防断更微mmj4408].vep
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5__1.1-问题定义[防断更微mmj4408].vep
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60__8.1_MMdetection简介与安装[防断更微mmj4408].vep
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61__8.2_MMdetection框架总体讲解[防断更微mmj4408].vep
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62__8.3_配置文件讲解（上）[防断更微mmj4408].vep
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63__8.3_配置文件讲解（下）[防断更微mmj4408].vep
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64__8.4_推理相关源码分析[防断更微mmj4408].vep
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65__8.5_训练相关源码分析[防断更微mmj4408].vep
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66__8.6_自定义数据集[防断更微mmj4408].vep
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67__8.7_COCO与VOC格式转化[防断更微mmj4408].vep
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68__8.8_Kmeans聚类边界框[防断更微mmj4408].vep
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69__8.9_热力图绘制[防断更微mmj4408].vep
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6__1.2-数据集[防断更微mmj4408].vep
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70__8.10_训练过程和检测结果可视化分析[防断更微mmj4408].vep
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71__8.11_工程实践技巧[防断更微mmj4408].vep
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7__1.3-评价指标[防断更微mmj4408].vep
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8__1.4-脑图时刻[防断更微mmj4408].vep
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9__1.5-算法发展总览[防断更微mmj4408].vep
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必看_[防断更微mmj4408].7z
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资料代码[防断更微mmj4408].rar
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