init

app.py

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+import glob
+
+import cv2 as cv
+import gradio as gr
+import numpy as np
+
+images = glob.glob("examples/*")
+
+def findCircle(img_path: str, center):
+    source = cv.imread(img_path, cv.IMREAD_GRAYSCALE)
+    img = cv.medianBlur(source,5)
+    color_img = cv.imread(img_path)
+    
+    circles = cv.HoughCircles(img,cv.HOUGH_GRADIENT,1,minDist=20,
+                                param1=50,param2=30,minRadius=10,maxRadius=28)
+    circles = np.uint16(np.around(circles))
+    for i in circles[0,:]:
+        if abs(center[0] - i[0]) < 20 \
+            and abs(center[1] - i[1]) < 20:
+            # draw the outer circle
+            cv.circle(color_img,(i[0],i[1]),i[2],(0,255,0),2)
+            # draw the center of the circle
+            cv.circle(color_img,(i[0],i[1]),2,(0,0,255),3)
+    # bgr to rgb
+    return color_img[:, :, ::-1]
+
+
+with gr.Blocks() as demo:
+    with gr.Row():
+        input_img = gr.Image(images[0], type='filepath', label="Input")
+        output_img = gr.Image(label="Selected Segment")
+
+    def get_select_coords(img, evt: gr.SelectData):
+        position = (evt.index[0], evt.index[1])
+        return findCircle(img, position)
+    
+    input_img.select(get_select_coords, [input_img], output_img)
+
+if __name__ == "__main__":
+    demo.launch()

requirements.txt

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+opencv-python