All Projects → llSourcell → Object_detection_demo_live

llSourcell / Object_detection_demo_live

This is the code for the "How to do Object Detection with OpenCV" live session by Siraj Raval on Youtube

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Object_Detection_demo_LIVE

This is the code for the "How to do Object Detection with OpenCV" live session by Siraj Raval on Youtube

##Overview

This is the code for this video on Youtube by Siraj Raval. We'll use OpenCV to detect a strawberry in an image. We'll perform a series of operations which i've documented in the code to eventually highlight the biggest strawberry in an image and then draw a green circle around it.

##Dependencies

  • openCV
  • matplotlib
  • numpy
  • math

You can use pip to install any missing dependencies. And you can install OpenCV using this guide.

##Usage

Run python demo.py to create a new image with the detected strawberry. The last 3 lines at the bottom of demo.py let you define the input image name and the output image name. This detection takes a split second. Deep learning would be more accurate but requires more computation currently. Sometimes you just need to quickly detect an image and don't mind handcrafted which features to look for.

##Credits

Credits for this code go to alexlouden i've merely created a wrapper to get people started.

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