This project demonstrates object detection using OpenCV with Python. It employs image processing techniques to detect and highlight objects in real-time or from static images. The program utilizes pre-trained models and features such as Haar cascades, YOLO, or other detection algorithms to identify objects like faces, cars, or other custom objects within a frame.
Detects objects in real-time using a webcam or video input. Highlights detected objects with bounding boxes. Supports both image and video file inputs. Easy to customize with different models and object types.
Python 3.x OpenCV NumPy