ColorPick: Real Time Color Detection with Python - Part A
Welcome to my code demonstration series! I'm excited to showcase how you can use my code, which is available on my GitHub repository. In this series, I've created four videos to illustrate the various ways you can utilize this code for color detection.
*Video 1 - Default Options:*
In this first video, we'll explore the default settings of the code. You'll learn how to:
1. Choose between detecting colors in images or live webcam feeds.
2. Select colors to detect, whether they're predefined or entirely new.
3. Initialize color scales for your chosen colors or load an existing JSON file.
4. Witness the color detection process in action.
*Video 2 - New Colors and Initialization:*
For the second video, we'll focus on exploring new color options. We'll cover:
1. Using a webcam for real-time color detection.
2. Defining entirely new colors for detection.
3. Initializing the color range for your newly selected colors.
4. Observing the results of your color detection efforts.
*Video 3 - Default Options (Image):*
In the third video, we'll delve into color detection using static images. This video will feature:
1. The use of static images for color detection.
2. Predefined color selections.
3. Loading an existing JSON file named "saved_colors_img.json," which already contains color values.
4. The visual output of the color detection process.
*Video 4 - New Colors and Initialization (Image):*
The fourth and final video will mirror the previous one but with an emphasis on static images. You'll discover:
1. How to apply color detection to images.
2. Selecting entirely new colors for your detection.
3. Initializing the color range for your new selections.
4. Observing the color detection results.
Feel free to explore the code on my GitHub repository for more details and customization options.
https://github.com/Lital-Ben-Baruch/BeginT...
If you have any questions or need further assistance, please don't hesitate to reach out. I'll be thrilled to assist you on your color detection journey!