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該代碼使用Tensorflow r1.7在Ubuntu 14.04下使用Python 2.7和Python 3.5進(jìn)行測(cè)試。代碼中包含測(cè)試用例。模型使用固定圖像標(biāo)準(zhǔn)化。在中科院自動(dòng)化所，WebFace數(shù)據(jù)集已經(jīng)被用于訓(xùn)練。該面部檢測(cè)后，該訓(xùn)練集包括總共453 453個(gè)圖像，超過10 575個(gè)身份。如果在訓(xùn)練之前過濾了數(shù)據(jù)集，則可以看到一些性能改進(jìn)。有關(guān)如何完成此操作的更多信息將在稍后提供。性能最佳的模型已經(jīng)在VGGFace2數(shù)據(jù)集上進(jìn)行了訓(xùn)練，該數(shù)據(jù)集由~ 3.3M面和~9000個(gè)類組成。提供了幾個(gè)預(yù)訓(xùn)練模型。請(qǐng)注意，模型的輸入圖像需要使用固定圖像標(biāo)準(zhǔn)化進(jìn)行標(biāo)準(zhǔn)化

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代碼片段和文件信息

?屬性????????????大小?????日期????時(shí)間???名稱
-----------?---------??----------?-----??----

????.......??????1080??2018-04-17?01:32??face_Tensorflow\.gitignore

????.......???????361??2018-04-17?01:32??face_Tensorflow\.project

????.......???????461??2018-04-17?01:32??face_Tensorflow\.pydevproject

????.......?????13765??2018-04-17?01:32??face_Tensorflow\.pylintrc

????.......???????458??2018-04-17?01:32??face_Tensorflow\.travis.yml

????.......??????5519??2018-04-17?01:32??face_Tensorflow\contributed\batch_represent.py

????.......??????8541??2018-04-17?01:32??face_Tensorflow\contributed\cluster.py

????.......??????9733??2018-04-17?01:32??face_Tensorflow\contributed\clustering.py

????.......??????8585??2018-04-17?01:32??face_Tensorflow\contributed\export_embeddings.py

????.......??????5934??2018-04-17?01:32??face_Tensorflow\contributed\face.py

????.......??????6182??2018-04-17?01:32??face_Tensorflow\contributed\predict.py

????.......??????3413??2018-04-17?01:32??face_Tensorflow\contributed\real_time_face_recognition.py

????.......?????????0??2018-04-17?01:32??face_Tensorflow\contributed\__init__.py

????.......?????13219??2018-04-17?01:32??face_Tensorflow\data\images\Anthony_Hopkins_0001.jpg

????.......?????13032??2018-04-17?01:32??face_Tensorflow\data\images\Anthony_Hopkins_0002.jpg

????.......???????108??2018-04-17?01:32??face_Tensorflow\data\learning_rate_retrain_tripletloss.txt

????.......???????104??2018-04-17?01:32??face_Tensorflow\data\learning_rate_schedule_classifier_casia.txt

????.......???????107??2018-04-17?01:32??face_Tensorflow\data\learning_rate_schedule_classifier_msceleb.txt

????.......???????107??2018-04-17?01:32??face_Tensorflow\data\learning_rate_schedule_classifier_vggface2.txt

????.......????155335??2018-04-17?01:32??face_Tensorflow\data\pairs.txt

????.......????????88??2018-04-17?01:32??face_Tensorflow\requirements.txt

????.......??????8302??2018-04-17?01:32??face_Tensorflow\src\align\align_dataset_mtcnn.py

????.......?????27368??2018-04-17?01:32??face_Tensorflow\src\align\det1.npy

????.......????401681??2018-04-17?01:32??face_Tensorflow\src\align\det2.npy

????.......???1557360??2018-04-17?01:32??face_Tensorflow\src\align\det3.npy

????.......?????31695??2018-04-17?01:32??face_Tensorflow\src\align\detect_face.py

????.......?????????0??2018-04-17?01:32??face_Tensorflow\src\align\__init__.py

????.......??????6024??2018-04-17?01:32??face_Tensorflow\src\calculate_filtering_metrics.py

????.......??????8113??2018-04-17?01:32??face_Tensorflow\src\classifier.py

????.......??????5510??2018-04-17?01:32??face_Tensorflow\src\compare.py

............此處省略80個(gè)文件信息

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