#python #adversarial_machine_learning #face_recognition #privacy_enhancing_technologies #privacy_protection
https://github.com/Shawn-Shan/fawkes
https://github.com/Shawn-Shan/fawkes
GitHub
GitHub - Shawn-Shan/fawkes: Fawkes, privacy preserving tool against facial recognition systems. More info at https://sandlab.c…
Fawkes, privacy preserving tool against facial recognition systems. More info at https://sandlab.cs.uchicago.edu/fawkes - Shawn-Shan/fawkes
#python #computer_vision #docker #docker_compose #face_detection #face_identification #face_recognition #face_verification #facenet #facial_recognition #insightface #rest_api
https://github.com/exadel-inc/CompreFace
https://github.com/exadel-inc/CompreFace
GitHub
GitHub - exadel-inc/CompreFace: Leading free and open-source face recognition system
Leading free and open-source face recognition system - exadel-inc/CompreFace
#python #face_recognition #machine_learning #python3 #social_media #stalking
https://github.com/ThoughtfulDev/EagleEye
https://github.com/ThoughtfulDev/EagleEye
GitHub
GitHub - ThoughtfulDev/EagleEye: Stalk your Friends. Find their Instagram, FB and Twitter Profiles using Image Recognition and…
Stalk your Friends. Find their Instagram, FB and Twitter Profiles using Image Recognition and Reverse Image Search. - ThoughtfulDev/EagleEye
#python #action_recognition #anomaly_detection #audio_processing #background_removal #crowd_counting #deep_learning #face_detection #face_recognition #fashion_ai #gan #hand_detection #image_classification #image_segmentation #machine_learning #neural_network #object_detection #object_recognition #object_tracking #pose_estimation
https://github.com/axinc-ai/ailia-models
https://github.com/axinc-ai/ailia-models
GitHub
GitHub - axinc-ai/ailia-models: The collection of pre-trained, state-of-the-art AI models for ailia SDK
The collection of pre-trained, state-of-the-art AI models for ailia SDK - axinc-ai/ailia-models
#javascript #ai #camera #computer_vision #deep_learning #edge #face_detection #face_recognition #home_assistant #machine_learning #nvidia_jetson_nano #object_detection #python #raspberry_pi #tensorflow #tf_lite #video_surveillance
https://github.com/SharpAI/DeepCamera
https://github.com/SharpAI/DeepCamera
GitHub
GitHub - SharpAI/DeepCamera: Open-Source AI Camera. Empower any camera/CCTV with state-of-the-art AI, including facial recognition…
Open-Source AI Camera. Empower any camera/CCTV with state-of-the-art AI, including facial recognition, person recognition(RE-ID) car detection, fall detection and more - SharpAI/DeepCamera
#cplusplus #ai #behaviour_analysis #cv #deep_learning #deepstream #face_recognition #feature_extraction #gstreamer #image_classification #image_enhancement #image_segmentation #license_plate_recognition #object_detection #opencv #reid #similarity_search #video_analysis #video_processing
https://github.com/sherlockchou86/VideoPipe
https://github.com/sherlockchou86/VideoPipe
GitHub
GitHub - sherlockchou86/VideoPipe: A cross-platform video structuring (video analysis) framework. If you find it helpful, please…
A cross-platform video structuring (video analysis) framework. If you find it helpful, please give it a star: ) 跨平台的视频结构化(视频分析)框架,觉得有帮助的请给个星星 : ) - GitHub - sherlockchou86/VideoPipe: A cross-plat...
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#python #age_estimation #arcface #face_alignment #face_detection #face_recognition #mxnet #oneflow #paddlepaddle #pytorch #retinaface
InsightFace is an open-source toolbox for 2D and 3D face analysis, using PyTorch and MXNet. It offers advanced algorithms for face recognition, detection, and alignment, optimized for both training and deployment. The project includes pre-trained models, various network backbones, and support for multiple operating systems. You can use it for non-commercial research purposes under the MIT License. Key features include integrated face-swapping models that outperform many commercial products, a cross-platform face recognition SDK, and participation in several challenges where InsightFace has achieved top rankings. This tool benefits users by providing robust and efficient face analysis capabilities with easy integration into their projects.
https://github.com/deepinsight/insightface
InsightFace is an open-source toolbox for 2D and 3D face analysis, using PyTorch and MXNet. It offers advanced algorithms for face recognition, detection, and alignment, optimized for both training and deployment. The project includes pre-trained models, various network backbones, and support for multiple operating systems. You can use it for non-commercial research purposes under the MIT License. Key features include integrated face-swapping models that outperform many commercial products, a cross-platform face recognition SDK, and participation in several challenges where InsightFace has achieved top rankings. This tool benefits users by providing robust and efficient face analysis capabilities with easy integration into their projects.
https://github.com/deepinsight/insightface
GitHub
GitHub - deepinsight/insightface: State-of-the-art 2D and 3D Face Analysis Project
State-of-the-art 2D and 3D Face Analysis Project. Contribute to deepinsight/insightface development by creating an account on GitHub.
#python #age_prediction #arcface #deep_learning #deepface #deepid #emotion_recognition #face_analysis #face_recognition #facenet #facial_expression_recognition #facial_recognition #gender_prediction #machine_learning #openface #python #race_classification #vgg_face
DeepFace is a powerful tool for face recognition and facial attribute analysis. It allows you to recognize faces, predict age, gender, emotions, and race, and even detect whether an image is real or fake. You can install it easily using `pip install deepface` and use simple functions like `DeepFace.verify` for face verification, `DeepFace.find` for face recognition, and `DeepFace.analyze` for facial attribute analysis. DeepFace wraps several state-of-the-art models, making it highly accurate and versatile. It also supports real-time video analysis and can be integrated with various detectors and alignment methods. This tool simplifies complex face recognition tasks, making it easy to use without needing deep knowledge of the underlying processes.
https://github.com/serengil/deepface
DeepFace is a powerful tool for face recognition and facial attribute analysis. It allows you to recognize faces, predict age, gender, emotions, and race, and even detect whether an image is real or fake. You can install it easily using `pip install deepface` and use simple functions like `DeepFace.verify` for face verification, `DeepFace.find` for face recognition, and `DeepFace.analyze` for facial attribute analysis. DeepFace wraps several state-of-the-art models, making it highly accurate and versatile. It also supports real-time video analysis and can be integrated with various detectors and alignment methods. This tool simplifies complex face recognition tasks, making it easy to use without needing deep knowledge of the underlying processes.
https://github.com/serengil/deepface
GitHub
GitHub - serengil/deepface: A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library…
A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python - serengil/deepface
#java #anti_spoofing #face_ai #face_recognition #face_search #face_verification #face_verify #liveness_detection #on_device_ai
The Umbrella FaceAI SDK is a powerful tool for Android devices that allows offline face detection, recognition, and liveness detection. It can be used in various applications like mobile attendance systems, app logins, and smart door locks. The SDK works without an internet connection, ensuring privacy by not storing or uploading sensitive facial data. This makes it secure and efficient for users who need fast and accurate face recognition capabilities on their devices. By integrating this SDK, developers can enhance user experiences while maintaining high security standards.
https://github.com/AnyLifeZLB/FaceVerificationSDK
The Umbrella FaceAI SDK is a powerful tool for Android devices that allows offline face detection, recognition, and liveness detection. It can be used in various applications like mobile attendance systems, app logins, and smart door locks. The SDK works without an internet connection, ensuring privacy by not storing or uploading sensitive facial data. This makes it secure and efficient for users who need fast and accurate face recognition capabilities on their devices. By integrating this SDK, developers can enhance user experiences while maintaining high security standards.
https://github.com/AnyLifeZLB/FaceVerificationSDK
GitHub
GitHub - AnyLifeZLB/FaceVerificationSDK: Android on_device 1:1 Face Recognition 、 Liveness detection and 1:N & M:N Face Search…
Android on_device 1:1 Face Recognition 、 Liveness detection and 1:N & M:N Face Search SDK 🧒 离线版设备端Android1:1人脸识别 动作活体、静默活体、近红外双目活体检测 以及1:N M:N 人脸搜索算法SDK 封装。全程可开飞行模式不用联网 - AnyLifeZLB/FaceVer...