# 二值化影象
("start to detect lines...\n"
) gray = cv.cvtcolor(frame, cv.color_bgr2gray)
ret, binary = cv.threshold(gray,0,
255, cv.thresh_binary_inv | cv.thresh_otsu)
cv.imshow(
"input image"
, frame)
for cnt in
range
(len
(contours)):
# 提取與繪製輪廓
cv.drawcontours(result, contours, cnt,(0
,255,0
),2)
# 輪廓逼近
epsilon =
0.01
* cv.arclength(contours[cnt]
,true
), epsilon,
true
)# 分析幾何形狀
corners =
len shape_type =
""if corners ==3:
count = self.shapes[
'********'
] count = count+
1 self.shapes[
'********'
]= count
shape_type =
"三角形"
if corners ==4:
count = self.shapes[
'rectangle'
] count = count +
1 self.shapes[
'rectangle'
]= count
shape_type =
"矩形"
if corners >=10:
count = self.shapes[
'circles'
] count = count +
1 self.shapes[
'circles'
]= count
shape_type =
"圓形"if4
< corners <10:
count = self.shapes[
'polygons'
] count = count +
1 self.shapes[
'polygons'
]= count
shape_type =
"多邊形"
# 求解中心位置
mm = cv.moments(contours[cnt]
)if mm[
"m00"]!=
0:cx =
int(mm[
'm10'
]/ mm[
'm00'])
cy =
int(mm[
'm01'
]/ mm[
'm00'])
else
: cx, cy =0,
0 cv.circle(result,
(cx, cy),3
,(0,
0,255),-
1)# 顏色分析
color = frame[cy]
[cx]
color_str =
"("+
str(color[0]
)+", "
+str
(color[1]
)+", "
+str
(color[2]
)+")"# 計算面積與周長
p = cv.arclength(contours[cnt]
,true
) area = cv.contourarea(contours[cnt]
("周長: %.3f, 面積: %.3f 顏色: %s 形狀: %s "
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