Real-Time Color Detection | OpenCV Python Tutorial | Dynamic Color Masks for Object Identification
🎨 Learn how to detect specifically colored objects using OpenCV and Python with this step-by-step tutorial!
🐍 Explore how to create and apply custom color masks to an OpenCV video feed, dynamically choosing specific colors to detect during runtime. Enhance your computer vision projects with precise color identification for objects, visual effects, and more.
🔍 In this tutorial, we'll cover:
• GitHub repository mention
• Tutorial overview
• Binary masking with OpenCV
• Converting to HSV color space
• Pixel value thresholding
• Two thresholding approaches
• Defining colors and initializing thresholds
• Creating binary masks with cv2.inRange()
• Applying masks with cv2.bitwise_and()
• Understanding logical operators
• Summary and procedure review
• Implementation in the color_detector.py module
• Experiment with two approaches to obtaining threshold ranges
• Reflections on our journey through the color spaces
🔗 Resources:
Get the code from the GitHub repository:
[https://github.com/Jacob-Pitsenberger...]
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#opencv #python #colordetection #objectdetection #computervision #pythonprogramming
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