To detect and identify real-time objects from a live webcam feed using the YOLOv4 (You Only Look Once) deep learning model.
STEP1: Import required libraries (cv2, numpy).
STEP2: Load YOLOv4 model (.weights and .cfg) and COCO class labels.
STEP3: Initialize webcam video capture.
STEP4: For each frame: 1.Convert the frame to a blob and pass it through YOLO. 2.Detect objects, filter by confidence, and apply Non-Max Suppression. 3.Draw bounding boxes and labels on detected objects.
STEP5: Display the frames in real-time.
STEP6: Exit on pressing ‘q’ and release resources.
STEP7: Display the saved image of object detection results using an image viewer or plotting library.