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| import cv2
import numpy as np
def stackImages(scale, imgArray):
rows = len(imgArray)
cols = len(imgArray[0])
rowsAvailable = isinstance(imgArray[0], list)
width = imgArray[0][0].shape[1]
height = imgArray[0][0].shape[0]
if rowsAvailable:
for x in range(0, rows):
for y in range(0, cols):
if imgArray[x][y].shape[:2] == imgArray[0][0].shape[:2]:
imgArray[x][y] = cv2.resize(imgArray[x][y], (0, 0), None, scale, scale)
else:
imgArray[x][y] = cv2.resize(imgArray[x][y], (imgArray[0][0].shape[1], imgArray[0][0].shape[0]),
None, scale, scale)
if len(imgArray[x][y].shape) == 2: imgArray[x][y] = cv2.cvtColor(imgArray[x][y], cv2.COLOR_GRAY2BGR)
imageBlank = np.zeros((height, width, 3), np.uint8)
hor = [imageBlank] * rows
hor_con = [imageBlank] * rows
for x in range(0, rows):
hor[x] = np.hstack(imgArray[x])
ver = np.vstack(hor)
else:
for x in range(0, rows):
if imgArray[x].shape[:2] == imgArray[0].shape[:2]:
imgArray[x] = cv2.resize(imgArray[x], (0, 0), None, scale, scale)
else:
imgArray[x] = cv2.resize(imgArray[x], (imgArray[0].shape[1], imgArray[0].shape[0]), None, scale, scale)
if len(imgArray[x].shape) == 2: imgArray[x] = cv2.cvtColor(imgArray[x], cv2.COLOR_GRAY2BGR)
hor = np.hstack(imgArray)
ver = hor
return ver
def getContours(img):
contours, hierarchy = cv2.findContours(img, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_NONE)
for cnt in contours:
area = cv2.contourArea(cnt)
print(area)
if area > 500:
cv2.drawContours(imgContour, cnt, -1, (255, 0, 0), 3)
peri = cv2.arcLength(cnt, True)
approx = cv2.approxPolyDP(cnt, 0.1 * peri, True)
print(len(approx))
objCor = len(approx)
x, y, w, h = cv2.boundingRect(approx)
if objCor == 3:
objectType = "Tri"
elif objCor == 4:
aspRatio = w / float(h)
if aspRatio > 0.98 and aspRatio < 1.03:
objectType = "Square"
else:
objectType = "Rectangle"
elif objCor > 4:
objectType = "Circles"
else:
objectType = "None"
cv2.rectangle(imgContour, (x, y), (x + w, y + h), (0, 255, 0), 2)
cv2.putText(imgContour, objectType,
(x + (w // 2) - 10, y + (h // 2) - 10), cv2.FONT_HERSHEY_COMPLEX, 0.7,
(0, 255, 255), 2)
print("轮廓检查")
img = cv2.imread('E:/code/py/opencv/shapes.png')
imgContour = img.copy()
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
blur = cv2.GaussianBlur(gray, (7, 7), 1)
canny = cv2.Canny(blur, 20, 100)
getContours(canny)
blank = np.zeros_like(img)
imgstack = stackImages(0.6, ([img, gray, blur],
[canny, imgContour, blank]))
cv2.imshow("stack", imgstack)
cv2.waitKey(0)
|
