Wygląda to teraz tak, tamten problem udało się rozwiązać, zmieniłem tylko ścieżkę pliku i działa. Natomiast napotkałem kolejny.
kod głownego pliku
import cv2
import numpy as np
import utlis
########################################################################
webCamFeed = True
pathImage = "5.jpg"
cap = cv2.VideoCapture(1)
cap.set(10,160)
heightImg = 700
widthImg = 700
questions=5
choices=5
ans= [1,2,0,2,4]
########################################################################
count=0
while True:
if webCamFeed:success, img = cap.read()
else:img = cv2.imread(pathImage)
img = cv2.resize(img, (widthImg, heightImg)) # RESIZE IMAGE
imgFinal = img.copy()
imgBlank = np.zeros((heightImg,widthImg, 3), np.uint8) # CREATE A BLANK IMAGE FOR TESTING DEBUGGING IF REQUIRED
imgGray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY) # CONVERT IMAGE TO GRAY SCALE
imgBlur = cv2.GaussianBlur(imgGray, (5, 5), 1) # ADD GAUSSIAN BLUR
imgCanny = cv2.Canny(imgBlur,10,70) # APPLY CANNY
try:
## FIND ALL COUNTOURS
imgContours = img.copy() # COPY IMAGE FOR DISPLAY PURPOSES
imgBigContour = img.copy() # COPY IMAGE FOR DISPLAY PURPOSES
contours, hierarchy = cv2.findContours(imgCanny, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_NONE) # FIND ALL CONTOURS
cv2.drawContours(imgContours, contours, -1, (0, 255, 0), 10) # DRAW ALL DETECTED CONTOURS
rectCon = utlis.rectContour(contours) # FILTER FOR RECTANGLE CONTOURS
biggestPoints= utlis.getCornerPoints(rectCon[0]) # GET CORNER POINTS OF THE BIGGEST RECTANGLE
gradePoints = utlis.getCornerPoints(rectCon[1]) # GET CORNER POINTS OF THE SECOND BIGGEST RECTANGLE
if biggestPoints.size != 0 and gradePoints.size != 0:
# BIGGEST RECTANGLE WARPING
biggestPoints=utlis.reorder(biggestPoints) # REORDER FOR WARPING
cv2.drawContours(imgBigContour, biggestPoints, -1, (0, 255, 0), 20) # DRAW THE BIGGEST CONTOUR
pts1 = np.float32(biggestPoints) # PREPARE POINTS FOR WARP
pts2 = np.float32([[0, 0],[widthImg, 0], [0, heightImg],[widthImg, heightImg]]) # PREPARE POINTS FOR WARP
matrix = cv2.getPerspectiveTransform(pts1, pts2) # GET TRANSFORMATION MATRIX
imgWarpColored = cv2.warpPerspective(img, matrix, (widthImg, heightImg)) # APPLY WARP PERSPECTIVE
# SECOND BIGGEST RECTANGLE WARPING
cv2.drawContours(imgBigContour, gradePoints, -1, (255, 0, 0), 20) # DRAW THE BIGGEST CONTOUR
gradePoints = utlis.reorder(gradePoints) # REORDER FOR WARPING
ptsG1 = np.float32(gradePoints) # PREPARE POINTS FOR WARP
ptsG2 = np.float32([[0, 0], [325, 0], [0, 150], [325, 150]]) # PREPARE POINTS FOR WARP
matrixG = cv2.getPerspectiveTransform(ptsG1, ptsG2)# GET TRANSFORMATION MATRIX
imgGradeDisplay = cv2.warpPerspective(img, matrixG, (325, 150)) # APPLY WARP PERSPECTIVE
# APPLY THRESHOLD
imgWarpGray = cv2.cvtColor(imgWarpColored,cv2.COLOR_BGR2GRAY) # CONVERT TO GRAYSCALE
imgThresh = cv2.threshold(imgWarpGray, 170, 255,cv2.THRESH_BINARY_INV )[1] # APPLY THRESHOLD AND INVERSE
boxes = utlis.splitBoxes(imgThresh) # GET INDIVIDUAL BOXES
cv2.imshow("Split Test ", boxes[3])
countR=0
countC=0
myPixelVal = np.zeros((questions,choices)) # TO STORE THE NON ZERO VALUES OF EACH BOX
for image in boxes:
#cv2.imshow(str(countR)+str(countC),image)
totalPixels = cv2.countNonZero(image)
myPixelVal[countR][countC]= totalPixels
countC += 1
if (countC==choices):countC=0;countR +=1
# FIND THE USER ANSWERS AND PUT THEM IN A LIST
myIndex=[]
for x in range (0,questions):
arr = myPixelVal[x]
myIndexVal = np.where(arr == np.amax(arr))
myIndex.append(myIndexVal[0][0])
#print("USER ANSWERS",myIndex)
# COMPARE THE VALUES TO FIND THE CORRECT ANSWERS
grading=[]
for x in range(0,questions):
if ans[x] == myIndex[x]:
grading.append(1)
else:grading.append(0)
#print("GRADING",grading)
score = (sum(grading)/questions)*100 # FINAL GRADE
#print("SCORE",score)
# DISPLAYING ANSWERS
utlis.showAnswers(imgWarpColored,myIndex,grading,ans) # DRAW DETECTED ANSWERS
utlis.drawGrid(imgWarpColored) # DRAW GRID
imgRawDrawings = np.zeros_like(imgWarpColored) # NEW BLANK IMAGE WITH WARP IMAGE SIZE
utlis.showAnswers(imgRawDrawings, myIndex, grading, ans) # DRAW ON NEW IMAGE
invMatrix = cv2.getPerspectiveTransform(pts2, pts1) # INVERSE TRANSFORMATION MATRIX
imgInvWarp = cv2.warpPerspective(imgRawDrawings, invMatrix, (widthImg, heightImg)) # INV IMAGE WARP
# DISPLAY GRADE
imgRawGrade = np.zeros_like(imgGradeDisplay,np.uint8) # NEW BLANK IMAGE WITH GRADE AREA SIZE
cv2.putText(imgRawGrade,str(int(score))+"%",(70,100)
,cv2.FONT_HERSHEY_COMPLEX,3,(0,255,255),3) # ADD THE GRADE TO NEW IMAGE
invMatrixG = cv2.getPerspectiveTransform(ptsG2, ptsG1) # INVERSE TRANSFORMATION MATRIX
imgInvGradeDisplay = cv2.warpPerspective(imgRawGrade, invMatrixG, (widthImg, heightImg)) # INV IMAGE WARP
# SHOW ANSWERS AND GRADE ON FINAL IMAGE
imgFinal = cv2.addWeighted(imgFinal, 1, imgInvWarp, 1,0)
imgFinal = cv2.addWeighted(imgFinal, 1, imgInvGradeDisplay, 1,0)
# IMAGE ARRAY FOR DISPLAY
imageArray = ([img,imgGray,imgCanny,imgContours],
[imgBigContour,imgThresh,imgWarpColored,imgFinal])
cv2.imshow("Final Result", imgFinal)
except:
imageArray = ([img,imgGray,imgCanny,imgContours],
[imgBlank, imgBlank, imgBlank, imgBlank])
# LABELS FOR DISPLAY
lables = [["Original","Gray","Edges","Contours"],
["Biggest Contour","Threshold","Warpped","Final"]]
stackedImage = utlis.stackImages(imageArray,0.5,lables)
cv2.imshow("Result",stackedImage)
# SAVE IMAGE WHEN 's' key is pressed
if cv2.waitKey(1) & 0xFF == ord('s'):
cv2.imwrite("Scanned/myImage"+str(count)+".jpg",imgFinal)
cv2.rectangle(stackedImage, ((int(stackedImage.shape[1] / 2) - 230), int(stackedImage.shape[0] / 2) + 50),
(1100, 350), (0, 255, 0), cv2.FILLED)
cv2.putText(stackedImage, "Scan Saved", (int(stackedImage.shape[1] / 2) - 200, int(stackedImage.shape[0] / 2)),
cv2.FONT_HERSHEY_DUPLEX, 3, (0, 0, 255), 5, cv2.LINE_AA)
cv2.imshow('Result', stackedImage)
cv2.waitKey(300)
count += 1
kod pliku utlis
```import cv2
import numpy as np
## TO STACK ALL THE IMAGES IN ONE WINDOW
def stackImages(imgArray,scale,lables=[]):
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):
imgArray[x][y] = cv2.resize(imgArray[x][y], (0, 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])
hor_con[x] = np.concatenate(imgArray[x])
ver = np.vstack(hor)
ver_con = np.concatenate(hor)
else:
for x in range(0, rows):
imgArray[x] = cv2.resize(imgArray[x], (0, 0), 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)
ver = hor
if len(lables) != 0:
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])*13+27,30+eachImgHeight*d),(255,255,255),cv2.FILLED)
cv2.putText(ver,lables[d],(eachImgWidth*c+10,eachImgHeight*d+20),cv2.FONT_HERSHEY_COMPLEX,0.7,(255,0,255),2)
return ver
def reorder(myPoints):
myPoints = myPoints.reshape((4, 2)) # REMOVE EXTRA BRACKET
print(myPoints)
myPointsNew = np.zeros((4, 1, 2), np.int32) # NEW MATRIX WITH ARRANGED POINTS
add = myPoints.sum(1)
print(add)
print(np.argmax(add))
myPointsNew[0] = myPoints[np.argmin(add)] #[0,0]
myPointsNew[3] =myPoints[np.argmax(add)] #[w,h]
diff = np.diff(myPoints, axis=1)
myPointsNew[1] =myPoints[np.argmin(diff)] #[w,0]
myPointsNew[2] = myPoints[np.argmax(diff)] #[h,0]
return myPointsNew
def rectContour(contours):
rectCon = []
max_area = 0
for i in contours:
area = cv2.contourArea(i)
if area > 50:
peri = cv2.arcLength(i, True)
approx = cv2.approxPolyDP(i, 0.02 * peri, True)
if len(approx) == 4:
rectCon.append(i)
rectCon = sorted(rectCon, key=cv2.contourArea,reverse=True)
#print(len(rectCon))
return rectCon
def getCornerPoints(cont):
peri = cv2.arcLength(cont, True) # LENGTH OF CONTOUR
approx = cv2.approxPolyDP(cont, 0.02 * peri, True) # APPROXIMATE THE POLY TO GET CORNER POINTS
return approx
def splitBoxes(img):
rows = np.vsplit(img,5)
boxes=[]
for r in rows:
cols= np.hsplit(r,5)
for box in cols:
boxes.append(box)
return boxes
def drawGrid(img,questions=5,choices=5):
secW = int(img.shape[1]/questions)
secH = int(img.shape[0]/choices)
for i in range (0,9):
pt1 = (0,secH*i)
pt2 = (img.shape[1],secH*i)
pt3 = (secW * i, 0)
pt4 = (secW*i,img.shape[0])
cv2.line(img, pt1, pt2, (255, 255, 0),2)
cv2.line(img, pt3, pt4, (255, 255, 0),2)
return img
def showAnswers(img,myIndex,grading,ans,questions=5,choices=5):
secW = int(img.shape[1]/questions)
secH = int(img.shape[0]/choices)
for x in range(0,questions):
myAns= myIndex[x]
cX = (myAns * secW) + secW // 2
cY = (x * secH) + secH // 2
if grading[x]==1:
myColor = (0,255,0)
#cv2.rectangle(img,(myAns*secW,x*secH),((myAns*secW)+secW,(x*secH)+secH),myColor,cv2.FILLED)
cv2.circle(img,(cX,cY),50,myColor,cv2.FILLED)
else:
myColor = (0,0,255)
#cv2.rectangle(img, (myAns * secW, x * secH), ((myAns * secW) + secW, (x * secH) + secH), myColor, cv2.FILLED)
cv2.circle(img, (cX, cY), 50, myColor, cv2.FILLED)
# CORRECT ANSWER
myColor = (0, 255, 0)
correctAns = ans[x]
cv2.circle(img,((correctAns * secW)+secW//2, (x * secH)+secH//2),
20,myColor,cv2.FILLED)
Tworzę teraz projekt z tego linku https://www.murtazahassan.com/courses/opencv-projects/lesson/complete-code-5/.
Mam następujące błedy.
Connected to pydev debugger (build 202.6948.78)
[ WARN:0] global C:\Users\appveyor\AppData\Local\Temp\1\pip-req-build-q0nmoxxv\opencv\modules\videoio\src\cap_msmf.cpp (435) `anonymous-namespace'::SourceReaderCB::~SourceReaderCB terminating async callback
Traceback (most recent call last):
File "C:\Program Files\JetBrains\PyCharm Community Edition 2020.2.1\plugins\python-ce\helpers\pydev\pydevd.py", line 1448, in _exec
pydev_imports.execfile(file, globals, locals) # execute the script
File "C:\Program Files\JetBrains\PyCharm Community Edition 2020.2.1\plugins\python-ce\helpers\pydev\_pydev_imps\_pydev_execfile.py", line 18, in execfile
exec(compile(contents+"\n", file, 'exec'), glob, loc)
File "C:/Users/DELL/PycharmProjects/pythonProject2/main.py", line 26, in <module>
img = cv2.resize(img, (widthImg, heightImg)) # RESIZE IMAGE
cv2.error: OpenCV(4.4.0) C:\Users\appveyor\AppData\Local\Temp\1\pip-req-build-q0nmoxxv\opencv\modules\imgproc\src\resize.cpp:3929: error: (-215:Assertion failed) !ssize.empty() in function 'cv::resize'
Process finished with exit code 1