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Update app.py
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app.py
CHANGED
@@ -1,5 +1,6 @@
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import gradio as gr
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import cv2
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from pyAAMED import pyAAMED
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@@ -12,13 +13,37 @@ def detect_ellipses(img_path):
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imgC = cv2.imread(img_path)
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imgG = cv2.cvtColor(imgC, cv2.COLOR_BGR2GRAY)
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aamed.setParameters(3.1415926/3, 3.4, 0.77)
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result = aamed.run_AAMED(imgG)
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print(result)
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return [img_path, result]
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examples = [
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["./AAMED/python/002_0038.jpg"]
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import gradio as gr
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import cv2
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import json
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from pyAAMED import pyAAMED
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imgC = cv2.imread(img_path)
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imgG = cv2.cvtColor(imgC, cv2.COLOR_BGR2GRAY)
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ammed_size = 1200
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iheight, iwidth, _ = imgG.shape
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imax = max(iheight, iwidth)
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iscale = ammed_size / imax
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is_landscape = iwidth >= iheight
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if is_landscape:
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iw = imax * iscale
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ih = iheight * iscale
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else:
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iw = iwidth * iscale
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ih = imax * iscale
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imgG = imgG.resize(iw, ih)
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if is_landscape:
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ipad = (imax - iheight) / 2 * iscale
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imgG = cv2.copyMakeBorder(imgG, ipad, ipad, 0, 0, cv2.BORDER_REPLICATE)
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else:
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ipad = (imax - iwidth) / 2 * iscale
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imgG = cv2.copyMakeBorder(imgG, 0, 0, ipad, ipad, cv2.BORDER_REPLICATE)
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aamed = pyAAMED(ammed_size, ammed_size)
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aamed.setParameters(3.1415926/3, 3.4, 0.77)
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result = aamed.run_AAMED(imgG)
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result = result.replace(' ', ', ')
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result = json.loads(result)
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print(result)
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return [img_path, json.dumps(result)]
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examples = [
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["./AAMED/python/002_0038.jpg"]
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