This Python script utilizes the OpenCV library to perform feature detection using two different methods: Harris Corner Detection and FAST (Features from Accelerated Segment Test). The script includes functionalities to capture frames from a camera or load images from a local file for feature detection.
Harris Corner Detection is applied to identify corners in an image. The script includes functions for both camera input and local file input.
getImageFromCameraCornerHarris()getImageFromLocalFileCornerHarris(filepath)FAST is a corner detection algorithm that selects key points in an image based on pixel intensities. The script includes functions for both camera input and local file input.
getImageFromCameraFAST()getImageFromLocalFileFAST(filepath)NumPy OpenCV Matplotlib
Ensure you have the required dependencies installed: NumPy, OpenCV, Matplotlib. Uncomment the desired function call at the end of the script (getImageFromLocalFileCornerHarris, getImageFromCameraCornerHarris, getImageFromLocalFileFAST, getImageFromCameraFAST). Run the script by executing python your_script_name.py. Feel free to experiment with different images and parameters to explore the capabilities of Harris Corner Detection and FAST Feature Detection.
Note: This script is provided for educational purposes and may require adjustments based on your specific use case.