HSV Calibration

Wth HSV Calibration, get the accurate HSV Upper and Lower Range from the image,webcam, and ,mobile camera (using IPCam) which can be used for color detection, object tracking and much more.

Detect Colors Using:

• Local Images (Provide url)
• Webcam
• Mobile Camera (Provide IP address using IPCam)

Examples

1). Images

from hsv_calibration import ProcessImage
ProcessImage.process_image("C:\Downloads\image.jpg")   // (r"C:\Downloads\image.jpg")

2). Webcam

from hsv_calibration import ProcessImage
ProcessImage.process_webcam()

3). Mobile Camera (Use IPCam to get the IP Address)

from hsv_calibration import ProcessImage
ProcessImage.process_mobile_camera("192.168.2.15:8080")

New Features!

• Brightness
• Darkness
• Blur
  • Box Blur
  • Gaussian Blur
  • Median Blur
  • Bilateral Blur
• Hue (Low and High)
• Saturation (Low and High)
• Value (Low and High)
• Erosion
• Dilation
• Edge Detection using Canny

Why did I build this?

To recognize or detect objects or colors in the image, OpenCV requires HSV lower and upper range to detect the color. This is time consuming as to get the accurate range, we go with hit nd trial method. With this library, you can easily get the accurate range and best results using other features as well.

Requirements/Dependencies

Installation

pip install hsv-calibration 

PyPi

Feedback and Suggestions

For feedback and suggestions, please email me on [email protected]

About Author

Abhi Savaliya | [email protected] | GitHub | LinkedIn