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This project aims to detect specific points in images and extract their coordinates. By providing an image link, the program identifies and returns the coordinates of the points of interest. The project is designed to work with images where the points are clearly distinguishable, such as images with marked fiducial points or specific patterns.
- Automatic Point Detection: Detects points in images and extracts their coordinates.
- Custom Coordinate Specification: Allows users to specify points' coordinates if known.
- Image Visualization: Displays the image with detected points marked for verification.
- Flexible Input: Supports both image links and local image files.
To detect points in an image, provide the image URL or path to the image file:
from point_detection import detect_points
image_url = "https://example.com/path/to/your/image.jpg"
coordinates = detect_points(image_url)
print("Detected coordinates:", coordinates)
print("Detected point numbering:", point number)If you already know the coordinates of certain points and its number, you can specify them directly:
from point_detection import plot_points
known_coordinates = [(50, 100,1), (150, 200,2), (250, 300,3)]
plot_points(image_url, known_coordinates,numbering the points)Input Image:
Detected Points:
X Y Point Number
106 228 1
91 222 2
173 214 3
186 209 4
36 184 5
29 171 6
223 152 7
229 139 8
230 111 9
16 105 10
22 91 11
216 71 12
210 59 13
60 35 14
72 28 15
152 20 16
141 15 17
Output Image:
Special thanks to the open-source community for providing the libraries and tools used in this project.
Replace placeholders such as https://github.com/your-username/your-repo-name.git and path/to/input_image.jpg with your actual GitHub repository link and image paths or URLs, respectively.