教学辅助系统(作弊检测系统)教学辅助系统(学生考试监考系统)

上传者: 40651515 | 上传时间: 2022-12-13 16:26:17 | 文件大小: 264.16MB | 文件类型: RAR
​ 在考试场中为学生监考十分枯燥,因此,建立一个可靠的作弊检测系统来识别学生是否存在作弊行为。以下有四个应用场景: 1.使用一个名为 Yolo3 的训练模型和一个名为 coco 的数据集,我们测试了考场中学生的书籍和手机,并将他们标记为作弊者。 2.使用haarcascade配置文件分类器,可以检测到学生转身,这样也被认定为作弊的学生。 3.此功能使用 OpenCV 和 YOLO 来监控/分析学生之间是否保持足够的距离。如何距离太近存在作弊嫌疑。 运行环境要求: python3.7以上配置以下包 tensorflow>=2.5.0* keras==2.4.3 imutils==0.5.4 numpy==1.19.5 opencv-python>=4.2.0.32 matplotlib==3.4.1 argparse==1.4.0 scipy==1.6.2 scikit-learn==0.24.1 pillow>=8.3.2 streamlit==0.79.0 onnx==1.10.1 tf2onnx==1.9.3 ​

文件下载

资源详情

[{"title":"( 87 个子文件 264.16MB ) 教学辅助系统(作弊检测系统)教学辅助系统(学生考试监考系统)","children":[{"title":"Grad","children":[{"title":"face_detector","children":[{"title":"deploy.prototxt <span style='color:#111;'> 27.43KB </span>","children":null,"spread":false},{"title":"res10_300x300_ssd_iter_140000.caffemodel <span style='color:#111;'> 10.17MB </span>","children":null,"spread":false}],"spread":true},{"title":"coco.names <span style='color:#111;'> 703B </span>","children":null,"spread":false},{"title":"yolov3.weights <span style='color:#111;'> 236.52MB </span>","children":null,"spread":false},{"title":"main.py <span style='color:#111;'> 1.13KB </span>","children":null,"spread":false},{"title":"img","children":[{"title":"b1.png <span style='color:#111;'> 57.10KB </span>","children":null,"spread":false},{"title":"a2.png <span style='color:#111;'> 3.04KB </span>","children":null,"spread":false},{"title":"img_textBox5.png <span style='color:#111;'> 493B </span>","children":null,"spread":false},{"title":"img1.png <span style='color:#111;'> 717B </span>","children":null,"spread":false},{"title":"img0M.png <span style='color:#111;'> 10.24KB </span>","children":null,"spread":false},{"title":"background.png <span style='color:#111;'> 7.28KB </span>","children":null,"spread":false},{"title":"a3.png <span style='color:#111;'> 454B </span>","children":null,"spread":false},{"title":"img_textBox1.png <span style='color:#111;'> 695B </span>","children":null,"spread":false},{"title":"b4.png <span style='color:#111;'> 376B </span>","children":null,"spread":false},{"title":"b3.png <span style='color:#111;'> 482B </span>","children":null,"spread":false},{"title":"img_textBox3.png <span style='color:#111;'> 493B </span>","children":null,"spread":false},{"title":"b2.png <span style='color:#111;'> 376B </span>","children":null,"spread":false},{"title":"img1M.png <span style='color:#111;'> 11.45KB </span>","children":null,"spread":false},{"title":"img_textBox4.png <span style='color:#111;'> 493B </span>","children":null,"spread":false},{"title":"b6.png <span style='color:#111;'> 285B </span>","children":null,"spread":false},{"title":"img_textBox2.png <span style='color:#111;'> 695B </span>","children":null,"spread":false},{"title":"a1.png <span style='color:#111;'> 4.97KB </span>","children":null,"spread":false},{"title":"b5.png <span style='color:#111;'> 535B </span>","children":null,"spread":false},{"title":"backgroundM.png <span style='color:#111;'> 2.88MB </span>","children":null,"spread":false},{"title":"img_textBox0.png <span style='color:#111;'> 695B </span>","children":null,"spread":false},{"title":"img0.png <span style='color:#111;'> 1.15KB </span>","children":null,"spread":false},{"title":"a4.png <span style='color:#111;'> 454B </span>","children":null,"spread":false}],"spread":false},{"title":"examData.py <span style='color:#111;'> 2.89KB </span>","children":null,"spread":false},{"title":"mask_detector.model <span style='color:#111;'> 10.95MB </span>","children":null,"spread":false},{"title":"__pycache__","children":[{"title":"attend.cpython-37.pyc <span style='color:#111;'> 3.72KB </span>","children":null,"spread":false},{"title":"examData.cpython-38.pyc <span style='color:#111;'> 2.33KB </span>","children":null,"spread":false},{"title":"dashboard.cpython-38.pyc <span style='color:#111;'> 1.56KB </span>","children":null,"spread":false},{"title":"cam.cpython-38.pyc <span style='color:#111;'> 4.32KB </span>","children":null,"spread":false},{"title":"examData.cpython-37.pyc <span style='color:#111;'> 2.24KB </span>","children":null,"spread":false},{"title":"cam.cpython-37.pyc <span style='color:#111;'> 4.34KB </span>","children":null,"spread":false},{"title":"sign.cpython-38.pyc <span style='color:#111;'> 1.25KB </span>","children":null,"spread":false},{"title":"dashboard.cpython-37.pyc <span style='color:#111;'> 1.52KB </span>","children":null,"spread":false},{"title":"sign.cpython-37.pyc <span style='color:#111;'> 1.21KB </span>","children":null,"spread":false}],"spread":true},{"title":"captures","children":[{"title":"home.PNG <span style='color:#111;'> 394.27KB </span>","children":null,"spread":false},{"title":"book.gif <span style='color:#111;'> 1.77MB </span>","children":null,"spread":false},{"title":"phone.gif <span style='color:#111;'> 1.63MB </span>","children":null,"spread":false},{"title":"attendance.gif <span style='color:#111;'> 2.42MB </span>","children":null,"spread":false},{"title":"turning.gif <span style='color:#111;'> 2.68MB </span>","children":null,"spread":false},{"title":"iot.png <span style='color:#111;'> 560.67KB </span>","children":null,"spread":false},{"title":"distance.gif <span style='color:#111;'> 6.36MB </span>","children":null,"spread":false},{"title":"data.PNG <span style='color:#111;'> 18.22KB </span>","children":null,"spread":false},{"title":"logo.png <span style='color:#111;'> 29.44KB </span>","children":null,"spread":false},{"title":"mask.gif <span style='color:#111;'> 3.22MB </span>","children":null,"spread":false},{"title":"MoamenProfile.jpg <span style='color:#111;'> 516.01KB </span>","children":null,"spread":false},{"title":"nour.jpg <span style='color:#111;'> 119.17KB </span>","children":null,"spread":false}],"spread":false},{"title":"yolov3-416.cfg <span style='color:#111;'> 8.91KB </span>","children":null,"spread":false},{"title":"dashboard.py <span style='color:#111;'> 1.86KB </span>","children":null,"spread":false},{"title":"attend.py <span style='color:#111;'> 4.52KB </span>","children":null,"spread":false},{"title":".idea","children":[{"title":"misc.xml <span style='color:#111;'> 199B </span>","children":null,"spread":false},{"title":"modules.xml <span style='color:#111;'> 267B </span>","children":null,"spread":false},{"title":"workspace.xml <span style='color:#111;'> 4.09KB </span>","children":null,"spread":false},{"title":".gitignore <span style='color:#111;'> 50B </span>","children":null,"spread":false},{"title":"inspectionProfiles","children":[{"title":"Project_Default.xml <span style='color:#111;'> 2.39KB </span>","children":null,"spread":false},{"title":"profiles_settings.xml <span style='color:#111;'> 174B </span>","children":null,"spread":false}],"spread":false},{"title":"Grad.iml <span style='color:#111;'> 335B </span>","children":null,"spread":false}],"spread":true},{"title":"cascades","children":[{"title":"haarcascade_righteye_2splits.xml <span style='color:#111;'> 191.57KB </span>","children":null,"spread":false},{"title":"haarcascade_frontalface_default.xml <span style='color:#111;'> 908.33KB </span>","children":null,"spread":false},{"title":"haarcascade_frontalface_alt2.xml <span style='color:#111;'> 527.95KB </span>","children":null,"spread":false},{"title":"haarcascade_upperbody.xml <span style='color:#111;'> 767.40KB </span>","children":null,"spread":false},{"title":"haarcascade_lefteye_2splits.xml <span style='color:#111;'> 190.79KB </span>","children":null,"spread":false},{"title":"haarcascade_frontalface_alt.xml <span style='color:#111;'> 660.85KB </span>","children":null,"spread":false},{"title":"haarcascade_frontalcatface_extended.xml <span style='color:#111;'> 373.94KB </span>","children":null,"spread":false},{"title":"haarcascade_licence_plate_rus_16stages.xml <span style='color:#111;'> 46.66KB </span>","children":null,"spread":false},{"title":"haarcascade_smile.xml <span style='color:#111;'> 184.09KB </span>","children":null,"spread":false},{"title":"haarcascade_lowerbody.xml <span style='color:#111;'> 386.06KB </span>","children":null,"spread":false},{"title":"haarcascade_profileface.xml <span style='color:#111;'> 809.10KB </span>","children":null,"spread":false},{"title":"haarcascade_frontalcatface.xml <span style='color:#111;'> 401.75KB </span>","children":null,"spread":false},{"title":"haarcascade_eye.xml <span style='color:#111;'> 333.40KB </span>","children":null,"spread":false},{"title":"haarcascade_frontalface_alt_tree.xml <span style='color:#111;'> 2.56MB </span>","children":null,"spread":false},{"title":"haarcascade_russian_plate_number.xml <span style='color:#111;'> 73.71KB </span>","children":null,"spread":false},{"title":"haarcascade_fullbody.xml <span style='color:#111;'> 465.65KB </span>","children":null,"spread":false},{"title":"haarcascade_eye_tree_eyeglasses.xml <span style='color:#111;'> 587.56KB </span>","children":null,"spread":false}],"spread":false},{"title":"requirements.txt <span style='color:#111;'> 213B </span>","children":null,"spread":false},{"title":"facedetection.py <span style='color:#111;'> 1.34KB </span>","children":null,"spread":false},{"title":"sign.py <span style='color:#111;'> 1.34KB </span>","children":null,"spread":false},{"title":"Attendance.csv <span style='color:#111;'> 80B </span>","children":null,"spread":false},{"title":"objectDetection.py <span style='color:#111;'> 2.46KB </span>","children":null,"spread":false},{"title":"ImagesAttendance","children":[{"title":"Mohamed.jpeg <span style='color:#111;'> 75.12KB </span>","children":null,"spread":false},{"title":"Nour.jpeg <span style='color:#111;'> 61.08KB </span>","children":null,"spread":false},{"title":"Zoghby.jpeg <span style='color:#111;'> 72.82KB </span>","children":null,"spread":false},{"title":"Yousef.jpeg <span style='color:#111;'> 88.95KB </span>","children":null,"spread":false}],"spread":false},{"title":"cam.py <span style='color:#111;'> 6.32KB </span>","children":null,"spread":false}],"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