1
我試圖覆蓋襯衫上的圖像使用OpenCV Python的自己的實時視頻流。因爲三天，我又卡在這個特殊的錯誤：OpenCV Python錯誤：錯誤：（-215）（mtype == CV_8U || mtype == CV_8S）&& _mask.sameSize（* psrc1）in function cv :: binary_op
錯誤：（-215）（MTYPE == CV_8U || MTYPE == CV_8S）& & _mask.sameSize（* PSRC1）函數CV :: binary_op
發生在這條線此錯誤：
roi_bg = cv2.bitwise_and（ROI，ROI，掩模= mask_inv）
我的代碼：
import cv2 # Library for image processing
import numpy as np
imgshirt = cv2.imread('C:/Users/sayyed javed ahmed/Desktop/Humaira/Images For Programs/aureknayashirt.png',1) #original img in bgr
musgray = cv2.cvtColor(imgshirt,cv2.COLOR_BGR2GRAY) #grayscale conversion
ret, orig_mask = cv2.threshold(musgray,150 , 255, cv2.THRESH_BINARY)
orig_mask_inv = cv2.bitwise_not(orig_mask)
origshirtHeight, origshirtWidth = imgshirt.shape[:2]
face_cascade=cv2.CascadeClassifier('C:\Users\sayyed javed ahmed\Desktop\Humaira\haarcascade_frontalface_default.xml')
cap=cv2.VideoCapture(0)
while True:
ret,img=cap.read()
gray=cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
faces=face_cascade.detectMultiScale(gray,1.3,5)
for (x,y,w,h) in faces:
cv2.rectangle(img,(x,y),(x+w,y+h),(255,0,0),2)
shirtWidth = 3 * w #approx wrt face width
shirtHeight = shirtWidth * origshirtHeight/origshirtWidth #preserving aspect ratio of original image..
# Center the shirt..just random calculations..
x1 = x-w
x2 =x1+3*w
y1 = y+h
y2 = y1+h*2
# Check for clipping(whetehr x1 is coming out to be negative or not..)
if x1 < 0:
x1 = 0
if y1 < 0:
y1 = 0
if x2 > 4*w:
x2 =4*w
if y2 > 2* h:
y2 = x2* origshirtHeight/origshirtWidth
print x1 #debugging
print x2
print y1
print y2
print w
print h
# Re-calculate the width and height of the shirt image(to resize the image when it wud be pasted)
shirtWidth = x2 - x1
shirtHeight = y2 - y1
# Re-size the original image and the masks to the shirt sizes
shirt = cv2.resize(imgshirt, (shirtWidth,shirtHeight), interpolation = cv2.INTER_AREA) #resize all,the masks you made,the originla image,everything
mask = cv2.resize(orig_mask, (shirtWidth,shirtHeight), interpolation = cv2.INTER_AREA)
mask_inv = cv2.resize(orig_mask_inv, (shirtWidth,shirtHeight), interpolation = cv2.INTER_AREA)
# take ROI for shirt from background equal to size of shirt image
roi = img[y1:y2, x1:x2]
print shirt.size #debugginh
print mask.size
print mask_inv.size
print roi.size
print shirt.shape
print roi.shape
print mask.shape
print mask_inv.shape
# roi_bg contains the original image only where the shirt is not
# in the region that is the size of the shirt.
roi_bg = cv2.bitwise_and(roi,roi,mask = mask_inv)
# roi_fg contains the image of the shirt only where the shirt is
roi_fg = cv2.bitwise_and(shirt,shirt,mask = mask)
print roi_bg.shape #debugging
print roi_fg.shape
# join the roi_bg and roi_fg
dst = cv2.add(roi_bg,roi_fg)
print dst.shape
# place the joined image, saved to dst back over the original image
roi = dst
break
cv2.imshow('img',img)
if cv2.waitKey(1) == ord('q'):
break;
cap.release() # Destroys the cap object
cv2.destroyAllWindows() # Destroys all the windows created by imshow
我讀過這個帖子： http://www.stackoverflow.com/questions/30117740/opencv-error-assertion-failed-mask-size-src1-size-in-binary-op 但是沒有太多掌握。我知道roi和襯衫的尺寸應該是一樣的，我打印這些值是爲了檢查它們是否相同，但不是。根據我的陳述：
ROI = IMG [Y1：Y2，X1：X2]
和
襯衫= cv2.resize（imgshirt，（shirtWidth，shirtHeight），插值= cv2.INTER_AREA ）
應使它們的大小爲x2-x1和y2-y1，但這並未發生。自從三天以來，我一直在摸索着這一行，任何幫助都是值得讚賞的！
會[這裏]（https://stackoverflow.com/q/34466597/3491991）幫助呢？ – zelusp