Skip to content

This Python project uses YOLO (You Only Look Once) with OpenCV to detect objects in an image. It applies a pre-trained model to the image, outlines detected objects with bounding boxes, and labels them with their classes before displaying the annotated image.

License

Notifications You must be signed in to change notification settings

Abhishek-2502/Object_Detection

Repository files navigation

Object detection using deep learning with OpenCV and Python

OpenCV dnn module supports running inference on pre-trained deep learning models from popular frameworks like Caffe, Torch and TensorFlow.

When it comes to object detection, popular detection frameworks are

  • YOLO (You Only Look Once)
  • SSD
  • Faster R-CNN

Support for running YOLO/DarkNet has been added to OpenCV dnn module recently.

Dependencies

  • opencv
  • numpy

pip install numpy opencv-python

Sample Output :

Author

Abhishek Rajput.

About

This Python project uses YOLO (You Only Look Once) with OpenCV to detect objects in an image. It applies a pre-trained model to the image, outlines detected objects with bounding boxes, and labels them with their classes before displaying the annotated image.

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages