本科毕业设计:针对Deepfake假脸视频面部细节特征的提取算法

上传者: lijunhcn | 上传时间: 2023-11-22 22:08:24 | 文件大小: 37.55MB | 文件类型: ZIP
本科毕业设计:针对Deepfake假脸视频面部细节特征的提取算法 本科毕业设计:针对Deepfake假脸视频面部细节特征的提取算法 本科毕业设计:针对Deepfake假脸视频面部细节特征的提取算法 本科毕业设计:针对Deepfake假脸视频面部细节特征的提取算法 本科毕业设计:针对Deepfake假脸视频面部细节特征的提取算法 本科毕业设计:针对Deepfake假脸视频面部细节特征的提取算法 本科毕业设计:针对Deepfake假脸视频面部细节特征的提取算法 本科毕业设计:针对Deepfake假脸视频面部细节特征的提取算法

文件下载

资源详情

[{"title":"( 96 个子文件 37.55MB ) 本科毕业设计:针对Deepfake假脸视频面部细节特征的提取算法","children":[{"title":"project_code_0626","children":[{"title":"screenshots","children":[{"title":"histogram.png <span style='color:#111;'> 99.20KB </span>","children":null,"spread":false},{"title":"DFDattack_log.png <span style='color:#111;'> 7.88KB </span>","children":null,"spread":false},{"title":"prepare.jpg <span style='color:#111;'> 711.60KB </span>","children":null,"spread":false},{"title":"framing.png <span style='color:#111;'> 68.53KB </span>","children":null,"spread":false},{"title":"SVM简介.png <span style='color:#111;'> 42.33KB </span>","children":null,"spread":false},{"title":"histogram3lines.png <span style='color:#111;'> 47.47KB </span>","children":null,"spread":false},{"title":"surf.png <span style='color:#111;'> 338.83KB </span>","children":null,"spread":false},{"title":"findFaceScreenshots.png <span style='color:#111;'> 536.71KB </span>","children":null,"spread":false},{"title":"DFDoriginal_log.png <span style='color:#111;'> 7.56KB </span>","children":null,"spread":false},{"title":"svm_eg.png <span style='color:#111;'> 48.32KB </span>","children":null,"spread":false}],"spread":true},{"title":"Paper","children":[{"title":"开题报告+蒲尧+20200229.doc <span style='color:#111;'> 152.00KB </span>","children":null,"spread":false},{"title":"本科毕业设计(论文)-蒲尧-20200608.pdf <span style='color:#111;'> 3.26MB </span>","children":null,"spread":false}],"spread":true},{"title":"DatabaseFeatureExtraction","children":[{"title":"extract_feature.py <span style='color:#111;'> 4.88KB </span>","children":null,"spread":false},{"title":"CommonFunction","children":[{"title":"extract_color.py <span style='color:#111;'> 767B </span>","children":null,"spread":false},{"title":"extract_SURF.py <span style='color:#111;'> 1.33KB </span>","children":null,"spread":false},{"title":"extract_ELA.py <span style='color:#111;'> 1.12KB </span>","children":null,"spread":false}],"spread":true},{"title":"README.md <span style='color:#111;'> 47B </span>","children":null,"spread":false}],"spread":true},{"title":"Spectrum_SVM4Image_and_Resnet_LSTM4Video","children":[{"title":"image","children":[{"title":"deepfake_creation_model.png <span style='color:#111;'> 101.11KB </span>","children":null,"spread":false},{"title":"spectrum.png <span style='color:#111;'> 49.91KB </span>","children":null,"spread":false},{"title":"A_two-step_process_for_face_manipulation_detection.png <span style='color:#111;'> 88.73KB </span>","children":null,"spread":false},{"title":"loss.png <span style='color:#111;'> 17.06KB </span>","children":null,"spread":false},{"title":"deepfake_detection.png <span style='color:#111;'> 49.36KB </span>","children":null,"spread":false},{"title":"gan_architecture.png <span style='color:#111;'> 43.56KB </span>","children":null,"spread":false},{"title":"video_face_example.png <span style='color:#111;'> 45.99KB </span>","children":null,"spread":false},{"title":"CNN+LSTM.png <span style='color:#111;'> 55.86KB </span>","children":null,"spread":false},{"title":"capsule_network.png <span style='color:#111;'> 116.29KB </span>","children":null,"spread":false},{"title":"acc.png <span style='color:#111;'> 17.31KB </span>","children":null,"spread":false},{"title":"confusion_matrix.png <span style='color:#111;'> 17.63KB </span>","children":null,"spread":false}],"spread":false},{"title":"videodetection","children":[{"title":"CNN_LSTM4VideoDetection_FaceForensics++.ipynb <span style='color:#111;'> 189.78KB </span>","children":null,"spread":false},{"title":"Gobal_metadata.csv <span style='color:#111;'> 462.32KB </span>","children":null,"spread":false}],"spread":true},{"title":"README.md <span style='color:#111;'> 24.07KB </span>","children":null,"spread":false},{"title":"imagedetection","children":[{"title":"radialProfile.py <span style='color:#111;'> 1.28KB </span>","children":null,"spread":false},{"title":"celeba_low_1000.pkl <span style='color:#111;'> 1.24MB </span>","children":null,"spread":false},{"title":"SVM4ImageDetection_CelebA_PGGAN.ipynb <span style='color:#111;'> 84.61KB </span>","children":null,"spread":false}],"spread":true}],"spread":true},{"title":"DatabasePreprocessing","children":[{"title":"delLastFile.py <span style='color:#111;'> 689B </span>","children":null,"spread":false},{"title":"framing.py <span style='color:#111;'> 2.25KB </span>","children":null,"spread":false},{"title":"findfaceFR.py <span style='color:#111;'> 2.99KB </span>","children":null,"spread":false},{"title":"findface_comparation.py <span style='color:#111;'> 3.47KB </span>","children":null,"spread":false},{"title":"findfaceCV.py <span style='color:#111;'> 2.33KB </span>","children":null,"spread":false},{"title":"pngToJpg.py <span style='color:#111;'> 2.50KB </span>","children":null,"spread":false},{"title":"findfaceFR_folder.py <span style='color:#111;'> 4.06KB </span>","children":null,"spread":false},{"title":"renameAll.py <span style='color:#111;'> 592B </span>","children":null,"spread":false},{"title":"getDiff.py <span style='color:#111;'> 2.04KB </span>","children":null,"spread":false}],"spread":true},{"title":"References","children":[{"title":"[3] Exposing deep fakes using inconsistent head poses.pdf <span style='color:#111;'> 2.19MB </span>","children":null,"spread":false},{"title":"[8] SURF Speeded Up Robust Features.pdf <span style='color:#111;'> 706.42KB </span>","children":null,"spread":false},{"title":"[1] Generative adversarial nets.pdf <span style='color:#111;'> 518.05KB </span>","children":null,"spread":false},{"title":"[11] 基于SVM分类的边缘提取算法.pdf <span style='color:#111;'> 2.48MB </span>","children":null,"spread":false},{"title":"[6] Hybrid LSTM and Encoder–Decoder Architecture for Detection of Image Forgeries.pdf <span style='color:#111;'> 5.24MB </span>","children":null,"spread":false},{"title":"[9] An evaluation of Error Level Analysis in image forensics.pdf <span style='color:#111;'> 1.01MB </span>","children":null,"spread":false},{"title":"[10] Image Forgery Detection by Semi-Automatic Wavelet Soft-Thresholding with Error Level Analysis.pdf <span style='color:#111;'> 3.94MB </span>","children":null,"spread":false},{"title":"[12]支持向量机理论与算法研究综述_丁世飞.pdf <span style='color:#111;'> 852.68KB </span>","children":null,"spread":false},{"title":"[7] 颜色直方图识别新技术研究.pdf <span style='color:#111;'> 2.89MB </span>","children":null,"spread":false},{"title":"[2] Deepfake Video Detection through Optical Flow Based CNN.pdf <span style='color:#111;'> 163.85KB </span>","children":null,"spread":false},{"title":"[4] Exposing GAN-synthesized Faces Using Landmark Locations.pdf <span style='color:#111;'> 8.01MB </span>","children":null,"spread":false},{"title":"[5] Perceptual Judgments to Detect Computer Generated Forged Faces in Social Media.pdf <span style='color:#111;'> 838.95KB </span>","children":null,"spread":false}],"spread":false},{"title":"SVM","children":[{"title":"svm_ref_streamvalfile.py <span style='color:#111;'> 1.36KB </span>","children":null,"spread":false},{"title":"SVM-test","children":[{"title":"svm_learning.py <span style='color:#111;'> 1.81KB </span>","children":null,"spread":false},{"title":"svm_eg.py <span style='color:#111;'> 1.34KB </span>","children":null,"spread":false},{"title":"model.pickle <span style='color:#111;'> 1.56KB </span>","children":null,"spread":false}],"spread":true},{"title":"ExtractFeatureData","children":[{"title":"extract_feature_data_per10img.py <span style='color:#111;'> 7.84KB </span>","children":null,"spread":false},{"title":"CommonFunction","children":[{"title":"extract_ELA_data.py <span style='color:#111;'> 1.67KB </span>","children":null,"spread":false},{"title":"extract_SURF_data.py <span style='color:#111;'> 977B </span>","children":null,"spread":false},{"title":"extract_color_data.py <span style='color:#111;'> 455B </span>","children":null,"spread":false}],"spread":true},{"title":"extract_feature_data.py <span style='color:#111;'> 5.40KB </span>","children":null,"spread":false},{"title":"test.py <span style='color:#111;'> 2.55KB </span>","children":null,"spread":false},{"title":"OUTPUT.txt <span style='color:#111;'> 8.22KB </span>","children":null,"spread":false}],"spread":true},{"title":"SVM-SGD","children":[{"title":"Model","children":[{"title":"SURF_clf.pkl <span style='color:#111;'> 1.59KB </span>","children":null,"spread":false},{"title":"ELA_clf.pkl <span style='color:#111;'> 513.13KB </span>","children":null,"spread":false},{"title":"color_clf.pkl <span style='color:#111;'> 1.50MB </span>","children":null,"spread":false}],"spread":true},{"title":"GetData","children":[{"title":"get_color.py <span style='color:#111;'> 724B </span>","children":null,"spread":false},{"title":"get_ELA.py <span style='color:#111;'> 722B </span>","children":null,"spread":false},{"title":"get_SURF.py <span style='color:#111;'> 1.98KB </span>","children":null,"spread":false}],"spread":true},{"title":"svm_SGD_per100img.py <span style='color:#111;'> 16.85KB </span>","children":null,"spread":false},{"title":"svm_SGD.py <span style='color:#111;'> 10.60KB </span>","children":null,"spread":false}],"spread":true},{"title":"README.md <span style='color:#111;'> 1.30KB </span>","children":null,"spread":false}],"spread":true},{"title":"FeatureExtractionLearning","children":[{"title":"BrightenDiff.py <span style='color:#111;'> 1.24KB </span>","children":null,"spread":false},{"title":"histogram.py <span style='color:#111;'> 1.91KB </span>","children":null,"spread":false},{"title":"img","children":[{"title":"webOriginalImg_ela.jpg <span style='color:#111;'> 239.96KB </span>","children":null,"spread":false},{"title":"webOriginalImg.jpg <span style='color:#111;'> 205.58KB </span>","children":null,"spread":false},{"title":"butterfly_ela.jpg <span style='color:#111;'> 156.21KB </span>","children":null,"spread":false},{"title":"dancersmiling-ela.png <span style='color:#111;'> 1005.58KB </span>","children":null,"spread":false},{"title":"faketest.jpg <span style='color:#111;'> 54.42KB </span>","children":null,"spread":false},{"title":"webOriginalImg-ela.jpg <span style='color:#111;'> 226.94KB </span>","children":null,"spread":false},{"title":"booksANDbooks-edited_diff.jpg <span style='color:#111;'> 286.16KB </span>","children":null,"spread":false},{"title":"faketest_ela.jpg <span style='color:#111;'> 114.47KB </span>","children":null,"spread":false},{"title":"dancersmiling.jpg <span style='color:#111;'> 232.63KB </span>","children":null,"spread":false},{"title":"meinv.png <span style='color:#111;'> 235.72KB </span>","children":null,"spread":false},{"title":"books.jpg <span style='color:#111;'> 125.18KB </span>","children":null,"spread":false},{"title":"books-edited.jpg <span style='color:#111;'> 218.74KB </span>","children":null,"spread":false},{"title":"dancersmiling_ela.jpg <span style='color:#111;'> 229.44KB </span>","children":null,"spread":false},{"title":"butterfly.jpg <span style='color:#111;'> 153.26KB </span>","children":null,"spread":false}],"spread":false},{"title":"histogram3lines.py <span style='color:#111;'> 550B </span>","children":null,"spread":false},{"title":"ELA.py <span style='color:#111;'> 1.63KB </span>","children":null,"spread":false},{"title":"surf.py <span style='color:#111;'> 626B </span>","children":null,"spread":false}],"spread":true},{"title":".gitignore <span style='color:#111;'> 1.50KB </span>","children":null,"spread":false},{"title":"README.md <span style='color:#111;'> 34.48KB </span>","children":null,"spread":false}],"spread":true}],"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