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| import gradio as gr | |
| from pyAAMED import pyAAMED | |
| import cv2 | |
| title = """ | |
| <h1>Arc Adjacency Matrix based Fast Ellipse Detection</h1> | |
| <a href="https://github.com/Li-Zhaoxi/AAMED">Gitub</a> | |
| """ | |
| def detect_ellipses(img_path): | |
| imgC = cv2.imread(img_path) | |
| imgG = cv2.cvtColor(imgC, cv2.COLOR_BGR2GRAY) | |
| aamed = pyAAMED(600, 600) | |
| aamed.setParameters(3.1415926/3, 3.4, 0.77) | |
| res = aamed.run_AAMED(imgG) | |
| print(res) | |
| return img | |
| gr.Interface( | |
| detect_ellipses, | |
| inputs=gr.inputs.Image(label="Upload image with ellipses", type="filepath"), | |
| outputs=gr.outputs.Image(label="Detected ellipses"), | |
| title=title, | |
| ).launch() |