2022软件信息工程 基于时空域联合特征的Deepfake视频检测方法研究 _终（论文+程序源代码）降重后

压缩包2022软件信息工程 基于时空域联合特征的Deepfake视频检测方法研究 _终（论文+程序源代码）降重后内部文件含有:

压缩包中第1文件: kaggel2/

压缩包中第2文件: kaggel2/.idea/

压缩包中第3文件: kaggel2/.idea/.gitignore

压缩包中第4文件: kaggel2/.idea/deployment.xml

压缩包中第5文件: kaggel2/.idea/inspectionProfiles/

压缩包中第6文件: kaggel2/.idea/inspectionProfiles/profiles_settings.xml

压缩包中第7文件: kaggel2/.idea/kaggel2.iml

压缩包中第8文件: kaggel2/.idea/misc.xml

压缩包中第9文件: kaggel2/.idea/modules.xml

压缩包中第10文件: kaggel2/.idea/remote-mappings.xml

压缩包中第11文件: kaggel2/.idea/workspace.xml

压缩包中第12文件: kaggel2/deal_csv.py

压缩包中第13文件: kaggel2/deal_csv2.py

压缩包中第14文件: kaggel2/dfdc_make_dataset.py

压缩包中第15文件: kaggel2/external/

压缩包中第16文件: kaggel2/external/EfficientNet-PyTorch/

压缩包中第17文件: kaggel2/external/EfficientNet-PyTorch/.gitignore

压缩包中第18文件: kaggel2/external/EfficientNet-PyTorch/LICENSE

压缩包中第19文件: kaggel2/external/EfficientNet-PyTorch/README.md

压缩包中第20文件: kaggel2/external/EfficientNet-PyTorch/efficientnet_pytorch/

压缩包中第21文件: kaggel2/external/EfficientNet-PyTorch/efficientnet_pytorch/__init__.py

压缩包中第22文件: kaggel2/external/EfficientNet-PyTorch/efficientnet_pytorch/model.py

压缩包中第23文件: kaggel2/external/EfficientNet-PyTorch/efficientnet_pytorch/utils.py

压缩包中第24文件: kaggel2/external/EfficientNet-PyTorch/examples/

压缩包中第25文件: kaggel2/external/EfficientNet-PyTorch/examples/imagenet/

压缩包中第26文件: kaggel2/external/EfficientNet-PyTorch/examples/imagenet/README.md

压缩包中第27文件: kaggel2/external/EfficientNet-PyTorch/examples/imagenet/data/

压缩包中第28文件: kaggel2/external/EfficientNet-PyTorch/examples/imagenet/data/README.md

压缩包中第29文件: kaggel2/external/EfficientNet-PyTorch/examples/imagenet/main.py

压缩包中第30文件: kaggel2/external/EfficientNet-PyTorch/examples/simple/

压缩包中第31文件: kaggel2/external/EfficientNet-PyTorch/examples/simple/check.ipynb

压缩包中第32文件: kaggel2/external/EfficientNet-PyTorch/examples/simple/example.ipynb

压缩包中第33文件: kaggel2/external/EfficientNet-PyTorch/examples/simple/img.jpg

压缩包中第34文件: kaggel2/external/EfficientNet-PyTorch/examples/simple/img2.jpg

压缩包中第35文件: kaggel2/external/EfficientNet-PyTorch/examples/simple/labels_map.txt

压缩包中第36文件: kaggel2/external/EfficientNet-PyTorch/setup.py

压缩包中第37文件: kaggel2/external/EfficientNet-PyTorch/tests/

压缩包中第38文件: kaggel2/external/EfficientNet-PyTorch/tests/test_model.py

压缩包中第39文件: kaggel2/external/EfficientNet-PyTorch/tf_to_pytorch/

压缩包中第40文件: kaggel2/external/EfficientNet-PyTorch/tf_to_pytorch/README.md

压缩包中第41文件: kaggel2/external/EfficientNet-PyTorch/tf_to_pytorch/convert_tf_to_pt/

压缩包中第42文件: kaggel2/external/EfficientNet-PyTorch/tf_to_pytorch/convert_tf_to_pt/download.sh

压缩包中第43文件: kaggel2/external/EfficientNet-PyTorch/tf_to_pytorch/convert_tf_to_pt/load_tf_weights.py

压缩包中第44文件: kaggel2/external/EfficientNet-PyTorch/tf_to_pytorch/convert_tf_to_pt/original_tf/

压缩包中第45文件: kaggel2/external/EfficientNet-PyTorch/tf_to_pytorch/convert_tf_to_pt/original_tf/__init__.py

压缩包中第46文件: kaggel2/external/EfficientNet-PyTorch/tf_to_pytorch/convert_tf_to_pt/original_tf/efficientnet_builder.py

压缩包中第47文件: kaggel2/external/EfficientNet-PyTorch/tf_to_pytorch/convert_tf_to_pt/original_tf/efficientnet_model.py

压缩包中第48文件: kaggel2/external/EfficientNet-PyTorch/tf_to_pytorch/convert_tf_to_pt/original_tf/eval_ckpt_main.py

压缩包中第49文件: kaggel2/external/EfficientNet-PyTorch/tf_to_pytorch/convert_tf_to_pt/original_tf/preprocessing.py

压缩包中第50文件: kaggel2/external/EfficientNet-PyTorch/tf_to_pytorch/convert_tf_to_pt/original_tf/utils.py

压缩包中第51文件: kaggel2/external/EfficientNet-PyTorch/tf_to_pytorch/convert_tf_to_pt/rename.sh

压缩包中第52文件: kaggel2/external/EfficientNet-PyTorch/tf_to_pytorch/convert_tf_to_pt/run.sh

压缩包中第53文件: kaggel2/external/EfficientNet-PyTorch/tf_to_pytorch/pretrained_tensorflow/

压缩包中第54文件: kaggel2/external/EfficientNet-PyTorch/tf_to_pytorch/pretrained_tensorflow/download.sh

压缩包中第55文件: kaggel2/external/Pytorch_Retinaface/

压缩包中第56文件: kaggel2/external/Pytorch_Retinaface/LICENSE.MIT

压缩包中第57文件: kaggel2/external/Pytorch_Retinaface/README.md

压缩包中第58文件: kaggel2/external/Pytorch_Retinaface/convert_to_onnx.py

压缩包中第59文件: kaggel2/external/Pytorch_Retinaface/curve/

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压缩包中第64文件: kaggel2/external/Pytorch_Retinaface/data/

压缩包中第65文件: kaggel2/external/Pytorch_Retinaface/data/FDDB/

压缩包中第66文件: kaggel2/external/Pytorch_Retinaface/data/FDDB/img_list.txt

压缩包中第67文件: kaggel2/external/Pytorch_Retinaface/data/__init__.py

压缩包中第68文件: kaggel2/external/Pytorch_Retinaface/data/config.py

压缩包中第69文件: kaggel2/external/Pytorch_Retinaface/data/data_augment.py

压缩包中第70文件: kaggel2/external/Pytorch_Retinaface/data/wider_face.py

压缩包中第71文件: kaggel2/external/Pytorch_Retinaface/detect.py

压缩包中第72文件: kaggel2/external/Pytorch_Retinaface/layers/

压缩包中第73文件: kaggel2/external/Pytorch_Retinaface/layers/__init__.py

压缩包中第74文件: kaggel2/external/Pytorch_Retinaface/layers/functions/

压缩包中第75文件: kaggel2/external/Pytorch_Retinaface/layers/functions/prior_box.py

压缩包中第76文件: kaggel2/external/Pytorch_Retinaface/layers/modules/

压缩包中第77文件: kaggel2/external/Pytorch_Retinaface/layers/modules/__init__.py

压缩包中第78文件: kaggel2/external/Pytorch_Retinaface/layers/modules/multibox_loss.py

压缩包中第79文件: kaggel2/external/Pytorch_Retinaface/models/

压缩包中第80文件: kaggel2/external/Pytorch_Retinaface/models/__init__.py

压缩包中第81文件: kaggel2/external/Pytorch_Retinaface/models/net.py

压缩包中第82文件: kaggel2/external/Pytorch_Retinaface/models/retinaface.py

压缩包中第83文件: kaggel2/external/Pytorch_Retinaface/test_fddb.py

压缩包中第84文件: kaggel2/external/Pytorch_Retinaface/test_widerface.py

压缩包中第85文件: kaggel2/external/Pytorch_Retinaface/train.py

压缩包中第86文件: kaggel2/external/Pytorch_Retinaface/utils/

压缩包中第87文件: kaggel2/external/Pytorch_Retinaface/utils/__init__.py

压缩包中第88文件: kaggel2/external/Pytorch_Retinaface/utils/box_utils.py

压缩包中第89文件: kaggel2/external/Pytorch_Retinaface/utils/nms/

压缩包中第90文件: kaggel2/external/Pytorch_Retinaface/utils/nms/__init__.py

压缩包中第91文件: kaggel2/external/Pytorch_Retinaface/utils/nms/py_cpu_nms.py

压缩包中第92文件: kaggel2/external/Pytorch_Retinaface/utils/timer.py

压缩包中第93文件: kaggel2/external/Pytorch_Retinaface/widerface_evaluate/

压缩包中第94文件: kaggel2/external/Pytorch_Retinaface/widerface_evaluate/README.md

压缩包中第95文件: kaggel2/external/Pytorch_Retinaface/widerface_evaluate/box_overlaps.pyx

压缩包中第96文件: kaggel2/external/Pytorch_Retinaface/widerface_evaluate/evaluation.py

压缩包中第97文件: kaggel2/external/Pytorch_Retinaface/widerface_evaluate/ground_truth/

压缩包中第98文件: kaggel2/external/Pytorch_Retinaface/widerface_evaluate/ground_truth/wider_easy_val.mat

压缩包中第99文件: kaggel2/external/Pytorch_Retinaface/widerface_evaluate/ground_truth/wider_face_val.mat

压缩包中第100文件: kaggel2/external/Pytorch_Retinaface/widerface_evaluate/ground_truth/wider_hard_val.mat

压缩包中第101文件: kaggel2/external/Pytorch_Retinaface/widerface_evaluate/ground_truth/wider_medium_val.mat

压缩包中第102文件: kaggel2/external/Pytorch_Retinaface/widerface_evaluate/setup.py

压缩包中第103文件: kaggel2/face_utils.py

压缩包中第104文件: kaggel2/ff_dataset.py

压缩包中第105文件: kaggel2/ff_dataset_new.py

压缩包中第106文件: kaggel2/json2csv.py

压缩包中第107文件: kaggel2/make_csv.py

压缩包中第108文件: kaggel2/make_dataset.py

压缩包中第109文件: kaggel2/make_dataset.sh

压缩包中第110文件: kaggel2/make_dataset_old.py

压缩包中第111文件: kaggel2/make_json.py

压缩包中第112文件: kaggel2/make_test_csv.py

压缩包中第113文件: kaggel2/model.py

压缩包中第114文件: kaggel2/requirements.txt

压缩包中第115文件: kaggel2/test.py

压缩包中第116文件: kaggel2/train_new.py

压缩包中第117文件: kaggel2/trian.py

压缩包中第118文件: 梅雨婷_201730281268_终稿.pdf