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76 changes: 50 additions & 26 deletions Basics/Joining_Multiple_Images_To_Display.py
Original file line number Diff line number Diff line change
Expand Up @@ -9,22 +9,26 @@
cap.set(3, frameWidth)
cap.set(4, frameHeight)

def stackImages(imgArray,scale,lables=[]):
sizeW= imgArray[0][0].shape[1]

def stackImages(imgArray, scale, lables=[]):
sizeW = imgArray[0][0].shape[1]
sizeH = imgArray[0][0].shape[0]
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 x in range(0, rows):
for y in range(0, cols):
imgArray[x][y] = cv2.resize(imgArray[x][y], (sizeW, sizeH), None, scale, scale)
if len(imgArray[x][y].shape) == 2: imgArray[x][y]= cv2.cvtColor( imgArray[x][y], cv2.COLOR_GRAY2BGR)
imgArray[x][y] = cv2.resize(
imgArray[x][y], (sizeW, sizeH), 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
hor = [imageBlank] * rows
hor_con = [imageBlank] * rows
for x in range(0, rows):
hor[x] = np.hstack(imgArray[x])
hor_con[x] = np.concatenate(imgArray[x])
Expand All @@ -33,37 +37,57 @@ def stackImages(imgArray,scale,lables=[]):
else:
for x in range(0, rows):
imgArray[x] = cv2.resize(imgArray[x], (sizeW, sizeH), None, scale, scale)
if len(imgArray[x].shape) == 2: imgArray[x] = cv2.cvtColor(imgArray[x], cv2.COLOR_GRAY2BGR)
hor= np.hstack(imgArray)
hor_con= np.concatenate(imgArray)
if len(imgArray[x].shape) == 2:
imgArray[x] = cv2.cvtColor(imgArray[x], cv2.COLOR_GRAY2BGR)
hor = np.hstack(imgArray)
hor_con = np.concatenate(imgArray)
ver = hor
if len(lables) != 0:
eachImgWidth= int(ver.shape[1] / cols)
eachImgWidth = int(ver.shape[1] / cols)
eachImgHeight = int(ver.shape[0] / rows)
print(eachImgHeight)
for d in range(0, rows):
for c in range (0,cols):
cv2.rectangle(ver,(c*eachImgWidth,eachImgHeight*d),(c*eachImgWidth+len(lables[d][c])*13+27,30+eachImgHeight*d),(255,255,255),cv2.FILLED)
cv2.putText(ver,lables[d][c],(eachImgWidth*c+10,eachImgHeight*d+20),cv2.FONT_HERSHEY_COMPLEX,0.7,(255,0,255),2)
for c in range(0, cols):
cv2.rectangle(
ver,
(c * eachImgWidth, eachImgHeight * d),
(
c * eachImgWidth + len(lables[d][c]) * 13 + 27,
30 + eachImgHeight * d,
),
(255, 255, 255),
cv2.FILLED,
)
cv2.putText(
ver,
lables[d][c],
(eachImgWidth * c + 10, eachImgHeight * d + 20),
cv2.FONT_HERSHEY_COMPLEX,
0.7,
(255, 0, 255),
2,
)
return ver


while True:
success, img = cap.read()
kernel = np.ones((5,5),np.uint8)
kernel = np.ones((5, 5), np.uint8)
print(kernel)
#path = "Resources/lena.png"
#img = cv2.imread(path)
imgGray = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
imgBlur = cv2.GaussianBlur(imgGray,(7,7),0)
imgCanny = cv2.Canny(imgBlur,100,200)
imgDilation = cv2.dilate(imgCanny,kernel , iterations = 2)
imgEroded = cv2.erode(imgDilation,kernel,iterations=2)
# path = "Resources/lena.png"
# img = cv2.imread(path)
imgGray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
imgBlur = cv2.GaussianBlur(imgGray, (7, 7), 0)
imgCanny = cv2.Canny(imgBlur, 100, 200)
imgDilation = cv2.dilate(imgCanny, kernel, iterations=2)
imgEroded = cv2.erode(imgDilation, kernel, iterations=2)

#imgBlank = np.zeros((200,200),np.uint8)
StackedImages = stackImages(([img,imgGray,imgBlur],
[imgCanny,imgDilation,imgEroded]),0.6)
# imgBlank = np.zeros((200,200),np.uint8)
StackedImages = stackImages(
([img, imgGray, imgBlur], [imgCanny, imgDilation, imgEroded]), 0.6
)
cv2.imshow("Staked Images", StackedImages)
if cv2.waitKey(1) & 0xFF == ord('q'):
if cv2.waitKey(1) & 0xFF == ord("q"):
break


Expand Down