首页 开发技术 Python     /    facenet源码

facenet源码

上传者: rushcman | 上传时间:2023/7/15 8:44:09 | 文件大小:2.1MB | 文件类型:rar
facenet源码
facenet源码,解压后使用加载工程即可使用。
本软件ID:10707984

文件下载

资源详情

[{"title":"(97个子文件2.1MB)facenet源码","children":[{"title":"facenet-master","children":[{"title":".travis.yml <span style='color:#111;'>458B</span>","children":null,"spread":false},{"title":".pydevproject <span style='color:#111;'>461B</span>","children":null,"spread":false},{"title":".pylintrc <span style='color:#111;'>13.44KB</span>","children":null,"spread":false},{"title":"data","children":[{"title":"images","children":[{"title":"Anthony_Hopkins_0001.jpg <span style='color:#111;'>12.91KB</span>","children":null,"spread":false},{"title":"Anthony_Hopkins_0002.jpg <span style='color:#111;'>12.73KB</span>","children":null,"spread":false}],"spread":true},{"title":"pairs.txt <span style='color:#111;'>151.69KB</span>","children":null,"spread":false},{"title":"learning_rate_schedule_classifier_casia.txt <span style='color:#111;'>104B</span>","children":null,"spread":false},{"title":"learning_rate_schedule_classifier_vggface2.txt <span style='color:#111;'>107B</span>","children":null,"spread":false},{"title":"learning_rate_retrain_tripletloss.txt <span style='color:#111;'>108B</span>","children":null,"spread":false},{"title":"learning_rate_schedule_classifier_msceleb.txt <span style='color:#111;'>107B</span>","children":null,"spread":false}],"spread":true},{"title":"test","children":[{"title":"batch_norm_test.py <span style='color:#111;'>2.41KB</span>","children":null,"spread":false},{"title":"restore_test.py <span style='color:#111;'>6.94KB</span>","children":null,"spread":false},{"title":"triplet_loss_test.py <span style='color:#111;'>2.39KB</span>","children":null,"spread":false},{"title":"center_loss_test.py <span style='color:#111;'>3.62KB</span>","children":null,"spread":false},{"title":"train_test.py <span style='color:#111;'>9.62KB</span>","children":null,"spread":false}],"spread":true},{"title":"src","children":[{"title":"models","children":[{"title":"inception_resnet_v1.py <span style='color:#111;'>11.49KB</span>","children":null,"spread":false},{"title":"dummy.py <span style='color:#111;'>2.50KB</span>","children":null,"spread":false},{"title":"__init__.py <span style='color:#111;'>16B</span>","children":null,"spread":false},{"title":"inception_resnet_v2.py <span style='color:#111;'>13.05KB</span>","children":null,"spread":false},{"title":"squeezenet.py <span style='color:#111;'>3.32KB</span>","children":null,"spread":false}],"spread":true},{"title":"download_and_extract.py <span style='color:#111;'>1.71KB</span>","children":null,"spread":false},{"title":"train_softmax.py <span style='color:#111;'>31.53KB</span>","children":null,"spread":false},{"title":"facenet.py <span style='color:#111;'>22.82KB</span>","children":null,"spread":false},{"title":"train_tripletloss.py <span style='color:#111;'>24.32KB</span>","children":null,"spread":false},{"title":"calculate_filtering_metrics.py <span style='color:#111;'>5.88KB</span>","children":null,"spread":false},{"title":"lfw.py <span style='color:#111;'>3.48KB</span>","children":null,"spread":false},{"title":"classifier.py <span style='color:#111;'>7.92KB</span>","children":null,"spread":false},{"title":"__init__.py <span style='color:#111;'>16B</span>","children":null,"spread":false},{"title":"validate_on_lfw.py <span style='color:#111;'>8.59KB</span>","children":null,"spread":false},{"title":"decode_msceleb_dataset.py <span style='color:#111;'>3.54KB</span>","children":null,"spread":false},{"title":"compare.py <span style='color:#111;'>5.38KB</span>","children":null,"spread":false},{"title":"align","children":[{"title":"det3.npy <span style='color:#111;'>1.49MB</span>","children":null,"spread":false},{"title":"det1.npy <span style='color:#111;'>26.73KB</span>","children":null,"spread":false},{"title":"__init__.py <span style='color:#111;'>0B</span>","children":null,"spread":false},{"title":"det2.npy <span style='color:#111;'>392.27KB</span>","children":null,"spread":false},{"title":"detect_face.py <span style='color:#111;'>30.95KB</span>","children":null,"spread":false},{"title":"align_dataset_mtcnn.py <span style='color:#111;'>8.11KB</span>","children":null,"spread":false}],"spread":false},{"title":"freeze_graph.py <span style='color:#111;'>4.62KB</span>","children":null,"spread":false},{"title":"generative","children":[{"title":"models","children":[{"title":"dfc_vae.py <span style='color:#111;'>4.80KB</span>","children":null,"spread":false},{"title":"dfc_vae_resnet.py <span style='color:#111;'>6.11KB</span>","children":null,"spread":false},{"title":"vae_base.py <span style='color:#111;'>2.22KB</span>","children":null,"spread":false},{"title":"__init__.py <span style='color:#111;'>0B</span>","children":null,"spread":false},{"title":"dfc_vae_large.py <span style='color:#111;'>5.16KB</span>","children":null,"spread":false}],"spread":false},{"title":"train_vae.py <span style='color:#111;'>13.61KB</span>","children":null,"spread":false},{"title":"__init__.py <span style='color:#111;'>0B</span>","children":null,"spread":false},{"title":"calculate_attribute_vectors.py <span style='color:#111;'>8.69KB</span>","children":null,"spread":false},{"title":"modify_attribute.py <span style='color:#111;'>5.99KB</span>","children":null,"spread":false}],"spread":false}],"spread":false},{"title":"__init__.py <span style='color:#111;'>0B</span>","children":null,"spread":false},{"title":".project <span style='color:#111;'>361B</span>","children":null,"spread":false},{"title":"contributed","children":[{"title":"face.py <span style='color:#111;'>5.79KB</span>","children":null,"spread":false},{"title":"predict.py <span style='color:#111;'>6.04KB</span>","children":null,"spread":false},{"title":"cluster.py <span style='color:#111;'>8.34KB</span>","children":null,"spread":false},{"title":"__init__.py <span style='color:#111;'>0B</span>","children":null,"spread":false},{"title":"real_time_face_recognition.py <span style='color:#111;'>3.33KB</span>","children":null,"spread":false},{"title":"export_embeddings.py <span style='color:#111;'>8.38KB</span>","children":null,"spread":false},{"title":"clustering.py <span style='color:#111;'>9.50KB</span>","children":null,"spread":false},{"title":"batch_represent.py <span style='color:#111;'>5.39KB</span>","children":null,"spread":false}],"spread":true},{"title":"tmp","children":[{"title":"select_triplets_test.py <span style='color:#111;'>774B</span>","children":null,"spread":false},{"title":"visualize_vgg_model.py <span style='color:#111;'>3.46KB</span>","children":null,"spread":false},{"title":"funnel_dataset.py <span style='color:#111;'>4.16KB</span>","children":null,"spread":false},{"title":"nn4.py <span style='color:#111;'>4.55KB</span>","children":null,"spread":false},{"title":"mtcnn_test.py <span style='color:#111;'>4.27KB</span>","children":null,"spread":false},{"title":"test1.py <span style='color:#111;'>21B</span>","children":null,"spread":false},{"title":"visualize.py <span style='color:#111;'>4.92KB</span>","children":null,"spread":false},{"title":"dataset_read_speed.py <span style='color:#111;'>903B</span>","children":null,"spread":false},{"title":"test_align.py <span style='color:#111;'>1.47KB</span>","children":null,"spread":false},{"title":"mtcnn_test_pnet_dbg.py <span style='color:#111;'>4.44KB</span>","children":null,"spread":false},{"title":"nn4_small2_v1.py <span style='color:#111;'>4.00KB</span>","children":null,"spread":false},{"title":"random_test.py <span style='color:#111;'>3.68KB</span>","children":null,"spread":false},{"title":"seed_test.py <span style='color:#111;'>5.42KB</span>","children":null,"spread":false},{"title":"mnist_noise_labels.py <span style='color:#111;'>15.07KB</span>","children":null,"spread":false},{"title":"deepdream.py <span style='color:#111;'>10.19KB</span>","children":null,"spread":false},{"title":"detect_face_v2.m <span style='color:#111;'>8.80KB</span>","children":null,"spread":false},{"title":"nn2.py <span style='color:#111;'>4.56KB</span>","children":null,"spread":false},{"title":"test_invariance_on_lfw.py <span style='color:#111;'>10.86KB</span>","children":null,"spread":false},{"title":"visualize_vggface.py <span style='color:#111;'>1.60KB</span>","children":null,"spread":false},{"title":"vggverydeep19.py <span style='color:#111;'>3.93KB</span>","children":null,"spread":false},{"title":"__init__.py <span style='color:#111;'>16B</span>","children":null,"spread":false},{"title":"mnist_center_loss.py <span style='color:#111;'>18.17KB</span>","children":null,"spread":false},{"title":"vggface16.py <span style='color:#111;'>4.69KB</span>","children":null,"spread":false},{"title":"align_dlib.py <span style='color:#111;'>8.58KB</span>","children":null,"spread":false},{"title":"align_dataset.py <span style='color:#111;'>6.84KB</span>","children":null,"spread":false},{"title":"align_dataset.m <span style='color:#111;'>8.23KB</span>","children":null,"spread":false},{"title":"pilatus800.jpg <span style='color:#111;'>105.80KB</span>","children":null,"spread":false},{"title":"invariance_test.txt <span style='color:#111;'>1.60KB</span>","children":null,"spread":false},{"title":"cacd2000_split_identities.py <span style='color:#111;'>1.10KB</span>","children":null,"spread":false},{"title":"detect_face_v1.m <span style='color:#111;'>7.77KB</span>","children":null,"spread":false},{"title":"nn3.py <span style='color:#111;'>4.56KB</span>","children":null,"spread":false},{"title":"download_vgg_face_dataset.py <span style='color:#111;'>4.90KB</span>","children":null,"spread":false},{"title":"rename_casia_directories.py <span style='color:#111;'>1.32KB</span>","children":null,"spread":false},{"title":"network.py <span style='color:#111;'>8.60KB</span>","children":null,"spread":false},{"title":"mtcnn.py <span style='color:#111;'>2.76KB</span>","children":null,"spread":false}],"spread":false},{"title":"requirements.txt <span style='color:#111;'>88B</span>","children":null,"spread":false},{"title":"LICENSE.md <span style='color:#111;'>1.05KB</span>","children":null,"spread":false},{"title":".gitignore <span style='color:#111;'>1.05KB</span>","children":null,"spread":false},{"title":"README.md <span style='color:#111;'>5.65KB</span>","children":null,"spread":false},{"title":"util","children":[{"title":"plot_learning_curves.m <span style='color:#111;'>10.63KB</span>","children":null,"spread":false}],"spread":true}],"spread":false}],"spread":true}]

评论信息

免责申明

【好快吧下载】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,【好快吧下载】 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 【好快吧下载】 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,8686821#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