使用 YOLO 前端和 Fast RCNN 后端的面罩检测模型

[{"title":"（ 26 个子文件 60.18MB ） 使用 YOLO 前端和 Fast RCNN 后端的面罩检测模型","children":[{"title":"FacemaskDetection-master","children":[{"title":"models","children":[{"title":"PixelRPN_train_weights","children":[{"title":".index <span style='color:#111;'> 25.17KB </span>","children":null,"spread":false},{"title":".data-00000-of-00001 <span style='color:#111;'> 39.65MB </span>","children":null,"spread":false},{"title":"checkpoint <span style='color:#111;'> 59B </span>","children":null,"spread":false}],"spread":true},{"title":".DS_Store <span style='color:#111;'> 6.00KB </span>","children":null,"spread":false},{"title":"RCNN","children":[{"title":"variables","children":[{"title":"variables.data-00000-of-00001 <span style='color:#111;'> 11.70MB </span>","children":null,"spread":false},{"title":"variables.index <span style='color:#111;'> 5.33KB </span>","children":null,"spread":false}],"spread":true},{"title":"saved_model.pb <span style='color:#111;'> 682.96KB </span>","children":null,"spread":false}],"spread":true},{"title":"GoogleNet.png <span style='color:#111;'> 2.81MB </span>","children":null,"spread":false},{"title":"PixelRPN","children":[{"title":"variables","children":[{"title":"variables.data-00000-of-00001 <span style='color:#111;'> 10.21MB </span>","children":null,"spread":false},{"title":"variables.index <span style='color:#111;'> 5.34KB </span>","children":null,"spread":false}],"spread":true},{"title":"saved_model.pb <span style='color:#111;'> 1.16MB </span>","children":null,"spread":false}],"spread":true},{"title":"PixelRPN.png <span style='color:#111;'> 269.69KB </span>","children":null,"spread":false},{"title":"RCNN.png <span style='color:#111;'> 35.28KB </span>","children":null,"spread":false}],"spread":true},{"title":"HelperLib.py <span style='color:#111;'> 1.88KB </span>","children":null,"spread":false},{"title":"ModelCreator.py <span style='color:#111;'> 23.95KB </span>","children":null,"spread":false},{"title":"ObtainProportion.py <span style='color:#111;'> 734B </span>","children":null,"spread":false},{"title":"readme.md <span style='color:#111;'> 681B </span>","children":null,"spread":false},{"title":"test.py <span style='color:#111;'> 179B </span>","children":null,"spread":false},{"title":"PixelRPNTrainer.py <span style='color:#111;'> 10.48KB </span>","children":null,"spread":false},{"title":".DS_Store <span style='color:#111;'> 8.00KB </span>","children":null,"spread":false},{"title":"RCNNTrainer.py <span style='color:#111;'> 5.08KB </span>","children":null,"spread":false},{"title":".gitignore <span style='color:#111;'> 222B </span>","children":null,"spread":false},{"title":"RCNN region proposer.md <span style='color:#111;'> 286B </span>","children":null,"spread":false},{"title":"RCNNbuilder.ipynb <span style='color:#111;'> 480.48KB </span>","children":null,"spread":false},{"title":"DataReader.py <span style='color:#111;'> 2.66KB </span>","children":null,"spread":false},{"title":"DataMaker.ipynb <span style='color:#111;'> 714.90KB </span>","children":null,"spread":false}],"spread":false}],"spread":true}]