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I am trying to measure the size of an object in the image, but the code I am working with is only looking for the details in the picture and not the object I want. Here is my code:

edged = cv2.Canny(gray, 50, 20) #50 and 20 are tshld one and two edged = cv2.dilate(edged, None, iterations=1) edged = cv2.erode(edged, None, iterations=1)

cnts = cv2.findContours(edged.copy(), cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE) cnts = imutils.grab_contours(cnts)

(cnts, _) = contours.sort_contours(cnts) pixelsPerMetric = None

for c in cnts: # if the contour is not sufficiently large, ignore it if cv2.contourArea(c) < 60: continue

orig = image.copy()
box = cv2.minAreaRect(c)
box = cv2.cv.BoxPoints(box) if imutils.is_cv2() else cv2.boxPoints(box)
box = np.array(box, dtype="int")

box = perspective.order_points(box)

cv2.drawContours(orig, [box.astype("int")], -1, (0, 255, 0), 3)

Note: the image below is the result of my code. I want to be able to detect the green target and measure it's dimensions. However, the box is only enclosing small portions of the image and not the entire target. If I should post entire code, let me know!

Thanks!

I am trying to measure the size of an object in the image, but the code I am working with is only looking for the details in the picture and not the object I want. Here is my code:

edged = cv2.Canny(gray, 50, 20) #50 and 20 are tshld one and two
edged = cv2.dilate(edged, None, iterations=1)
edged = cv2.erode(edged, None, iterations=1)
 
iterations=1)
cnts = cv2.findContours(edged.copy(), cv2.RETR_EXTERNAL,
cv2.CHAIN_APPROX_SIMPLE)
cnts = imutils.grab_contours(cnts)
 
imutils.grab_contours(cnts)
(cnts, _) = contours.sort_contours(cnts)
pixelsPerMetric = None
 
None
for c in cnts:
# if the contour is not sufficiently large, ignore it
if cv2.contourArea(c) < 60:
continue
 
continue
orig = image.copy()
 box = cv2.minAreaRect(c)
 box = cv2.cv.BoxPoints(box) if imutils.is_cv2() else cv2.boxPoints(box)
 box = np.array(box, dtype="int")
 box = perspective.order_points(box)
 
 cv2.drawContours(orig, [box.astype("int")], -1, (0, 255, 0), 3)3)