Object Detection:
This program uses OpenCV's deep learning-based object detection model, which is based on Caffe framework to detect objects in an image. It first loads a pre-trained model, which can be downloaded from the internet. Then it loads an image, creates a 4D blob from the image, and passes the blob through the network. The program then loops over the detections, filters detections by confidence, and for each detection, it gets the class index, bounding box coordinates and draws the bounding box on the image
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