人工智能-项目实践-图像识别-基于PyTorch&YOLOv4实现的口罩佩戴检测自建口罩数据集分享

上传者: admin_maxin | 上传时间: 2022-05-23 12:05:52 | 文件大小: 5.96MB | 文件类型: ZIP
人工智能-项目实践-图像识别-基于PyTorch&YOLOv4实现的口罩佩戴检测自建口罩数据集分享 本项目是利用YOLOv4进行口罩佩戴检测,使用PyTorch实现。虽然现在国内疫情基本得到有效遏制,但防控仍不可过于松懈,在一些公共场合佩戴口罩还是必不可少的。基于此,自己做了该项目,后续打算继续改进,争取将其运行到边缘设备上。希望本项目能给疫情常态化防控出一份力,也希望真正的新年早日到来。

文件下载

资源详情

[{"title":"( 36 个子文件 5.96MB ) 人工智能-项目实践-图像识别-基于PyTorch&YOLOv4实现的口罩佩戴检测自建口罩数据集分享","children":[{"title":"MaskDetect-YOLOv4-PyTorch-master","children":[{"title":"make_annotations.ipynb <span style='color:#111;'> 3.72KB </span>","children":null,"spread":false},{"title":"README.md <span style='color:#111;'> 3.61KB </span>","children":null,"spread":false},{"title":"utils","children":[{"title":"utils.py <span style='color:#111;'> 12.23KB </span>","children":null,"spread":false}],"spread":true},{"title":"mAP","children":[{"title":"main.py <span style='color:#111;'> 34.13KB </span>","children":null,"spread":false},{"title":"output","children":[{"title":"mAP.png <span style='color:#111;'> 14.69KB </span>","children":null,"spread":false},{"title":"lamr.png <span style='color:#111;'> 16.14KB </span>","children":null,"spread":false},{"title":"output.txt <span style='color:#111;'> 24.33KB </span>","children":null,"spread":false},{"title":"detection-results-info.png <span style='color:#111;'> 26.96KB </span>","children":null,"spread":false},{"title":"ground-truth-info.png <span style='color:#111;'> 20.26KB </span>","children":null,"spread":false},{"title":"classes","children":[{"title":"nomask.png <span style='color:#111;'> 16.76KB </span>","children":null,"spread":false},{"title":"mask.png <span style='color:#111;'> 17.65KB </span>","children":null,"spread":false}],"spread":true}],"spread":true},{"title":"scripts","children":[{"title":"extra","children":[{"title":"convert_keras-yolo3.py <span style='color:#111;'> 3.59KB </span>","children":null,"spread":false},{"title":"result.txt <span style='color:#111;'> 668B </span>","children":null,"spread":false},{"title":"find_class.py <span style='color:#111;'> 1.40KB </span>","children":null,"spread":false},{"title":"README.md <span style='color:#111;'> 3.00KB </span>","children":null,"spread":false},{"title":"convert_dr_darkflow_json.py <span style='color:#111;'> 1.47KB </span>","children":null,"spread":false},{"title":"convert_gt_yolo.py <span style='color:#111;'> 3.25KB </span>","children":null,"spread":false},{"title":"intersect-gt-and-dr.py <span style='color:#111;'> 2.28KB </span>","children":null,"spread":false},{"title":"convert_gt_xml.py <span style='color:#111;'> 1.46KB </span>","children":null,"spread":false},{"title":"convert_dr_yolo.py <span style='color:#111;'> 1.94KB </span>","children":null,"spread":false},{"title":"class_list.txt <span style='color:#111;'> 381B </span>","children":null,"spread":false}],"spread":true}],"spread":true}],"spread":true},{"title":"LICENSE <span style='color:#111;'> 34.33KB </span>","children":null,"spread":false},{"title":"testImage_result.png <span style='color:#111;'> 891.26KB </span>","children":null,"spread":false},{"title":"total_loss.png <span style='color:#111;'> 59.18KB </span>","children":null,"spread":false},{"title":"yolo.py <span style='color:#111;'> 7.16KB </span>","children":null,"spread":false},{"title":"eval.ipynb <span style='color:#111;'> 24.93KB </span>","children":null,"spread":false},{"title":"train.ipynb <span style='color:#111;'> 44.60KB </span>","children":null,"spread":false},{"title":"nets","children":[{"title":"yolo4.py <span style='color:#111;'> 5.07KB </span>","children":null,"spread":false},{"title":"CSPdarknet.py <span style='color:#111;'> 4.86KB </span>","children":null,"spread":false},{"title":"yolo_training.py <span style='color:#111;'> 20.70KB </span>","children":null,"spread":false}],"spread":true},{"title":"predict.ipynb <span style='color:#111;'> 52.90KB </span>","children":null,"spread":false},{"title":"model_data","children":[{"title":"yolo_anchors.txt <span style='color:#111;'> 85B </span>","children":null,"spread":false},{"title":"mask_val.txt <span style='color:#111;'> 39.82KB </span>","children":null,"spread":false},{"title":"simhei.ttf <span style='color:#111;'> 9.30MB </span>","children":null,"spread":false},{"title":"mask_classes.txt <span style='color:#111;'> 12B </span>","children":null,"spread":false},{"title":"mask_train.txt <span style='color:#111;'> 126.06KB </span>","children":null,"spread":false}],"spread":true}],"spread":false}],"spread":true}]

评论信息

免责申明

【只为小站】的资源来自网友分享,仅供学习研究,请务必在下载后24小时内给予删除,不得用于其他任何用途,否则后果自负。基于互联网的特殊性,【只为小站】 无法对用户传输的作品、信息、内容的权属或合法性、合规性、真实性、科学性、完整权、有效性等进行实质审查;无论 【只为小站】 经营者是否已进行审查,用户均应自行承担因其传输的作品、信息、内容而可能或已经产生的侵权或权属纠纷等法律责任。
本站所有资源不代表本站的观点或立场,基于网友分享,根据中国法律《信息网络传播权保护条例》第二十二条之规定,若资源存在侵权或相关问题请联系本站客服人员,zhiweidada#qq.com,请把#换成@,本站将给予最大的支持与配合,做到及时反馈和处理。关于更多版权及免责申明参见 版权及免责申明