travail d'un we (j'en ai big marre)

old/shapeDetectionImageCrop.py

@@ -0,0 +1,43 @@
+import cv2
+
+# Load the image
+image = cv2.imread("mid_image.jpg")
+
+# Convert image to grayscale
+gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
+
+# Resize the image to half its original size for display (pop up window)
+scale_percent = 20 # percent of original size
+width = int(gray.shape[1] * scale_percent / 100)
+height = int(gray.shape[0] * scale_percent / 100)
+dim = (width, height)
+
+resized_gray = cv2.resize(gray, dim, interpolation=cv2.INTER_AREA)
+
+# Show resized image
+cv2.imshow("Detected Rectangle", resized_gray)
+cv2.waitKey(0)
+cv2.destroyAllWindows()
+
+
+"""# Apply Gaussian blur
+blur = cv2.GaussianBlur(gray, (5, 5), 0)
+
+# Run Canny edge detector
+edges = cv2.Canny(blur, 50, 150)
+
+# Find contours
+contours, _ = cv2.findContours(edges, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)
+
+# Select the largest contour (presumed to be the rectangle)
+contour = max(contours, key=cv2.contourArea)
+
+# Draw the detected contour on a copy of the original image
+output = image.copy()
+cv2.drawContours(output, [contour], -1, (0, 255, 0), 3)
+
+# Save or show the result
+cv2.imwrite("rectangle_edges.jpg", output)
+cv2.imshow("Detected Rectangle", output)
+cv2.waitKey(0)
+cv2.destroyAllWindows()"""