YOLO V4 Object Detection tutorial | OpenCV

YOLO V4 Object Detection tutorial | OpenCV

YOLO is a clever convolutional neural network (CNN) for doing object detection in real-time. The algorithm applies a single neural network to the full image, and then divides the image into regions and predicts bounding boxes and probabilities for each region. We are going to utilized yolo object detection api with open cv in this video

This object detection algorithm is currently the state of the art, outperforming R-CNN and it's variants. I'll go into some different object detection algorithm improvements over the years, then dive into YOLO theory and a programmatic implementation using Tensorflow!

YOLO is a clever convolutional neural network (CNN) for doing object detection in real-time. The algorithm applies a single neural network to the full image, and then divides the image into regions and predicts bounding boxes and probabilities for each region. We are going to utilized yolo object detection api with open cv in this video

Link for downloading files

  1. download config and weights --- https://pjreddie.com/darknet/yolo/
  2. download classes --- https://github.com/pjreddie/darknet/blob/master/data/coco.names

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yolo opencv tensorflow deep-learning

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