Скачать или смотреть ●Face Detecion

Deep Learning and Python.
🔍 Technologies Used:
OpenCV for camera access and image processing
facenet-pytorch for face detection (MTCNN) and feature extraction (InceptionResnetV1)
NumPy and PyTorch for processing and similarity comparison
📂 What the project does:
1.Loads a set of images from a local folder as a face database
2.Extracts facial embeddings using a pre-trained ResNet model
3.Opens the webcam to detect and recognize faces in real-time
4.Compares detected faces with the stored database to identify known individuals
✅ Key Feature: Real-time face recognition with high accuracy using MTCNN for detection and ResNet for representation.
📸 Once a face is detected, the name appears on the screen. If it's not recognized, it shows as "Unknown."
Github [https://github.com/TasneemElraity33/Face-D...]
linkedin [www.linkedin.com/in/tasneem-elraity-4b88362a7]