def checkSpaces():
spaces = 0
for pos in posList:
x, y = pos
w, h = width, height
imgCrop = imgThres[y:y + h, x:x + w]
count = cv2.countNonZero(imgCrop)
if count < 900:
color = (0, 200, 0)
thic = 5
spaces += 1
else:
color = (0, 0, 200)
thic = 2
cv2.rectangle(img, (x, y), (x + w, y + h), color, thic)
cv2.putText(img, str(cv2.countNonZero(imgCrop)), (x, y + h - 6),
cv2.FONT_HERSHEY_PLAIN, 1, color, 2)
cvzone.putTextRect(img,
f'Free: {spaces}/{len(posList)}', (50, 60),
thickness=3,
offset=20,
colorR=(0, 200, 0))
def checkParkingSpace(imgPro):
spaceCounter = 0
for pos in posList:
x, y = pos
imgCrop = imgPro[y:y + height, x:x + width]
# cv2.imshow(str(x * y), imgCrop)
count = cv2.countNonZero(imgCrop)
if count < 900:
color = (0, 255, 0)
thickness = 5
spaceCounter += 1
else:
color = (0, 0, 255)
thickness = 2
cv2.rectangle(img, pos, (pos[0] + width, pos[1] + height), color,
thickness)
cvzone.putTextRect(img,
str(count), (x, y + height - 3),
scale=1,
thickness=2,
offset=0,
colorR=color)
cvzone.putTextRect(img,
f'Free: {spaceCounter}/{len(posList)}', (100, 50),
scale=3,
thickness=5,
offset=20,
colorR=(0, 200, 0))
qNo = 0
qTotal = len(dataAll)
while True:
success, img = cap.read()
img = cv2.flip(img, 1)
hands, img = detector.findHands(img, flipType=False)
if qNo < qTotal:
mcq = mcqlist[qNo]
img, bbox = cvzone.putTextRect(img,
mcq.question, [60, 100],
1,
1,
offset=20,
border=3)
img, bbox1 = cvzone.putTextRect(img,
mcq.choice1, [60, 200],
1,
1,
offset=20,
border=3)
img, bbox2 = cvzone.putTextRect(img,
mcq.choice2, [230, 200],
1,
1,
offset=20,
border=3)
img, bbox3 = cvzone.putTextRect(img,
success, img = cap.read()
imgText = np.zeros_like(img)
img, faces = detector.findFaceMesh(img, draw=False)
if faces:
face = faces[0]
pointLeft = face[145]
pointRight = face[374]
w, _ = detector.findDistance(pointLeft, pointRight)
W = 6.3
# Finding distance
f = 840
d = (W * f) / w
print(d)
cvzone.putTextRect(img,
f'Depth: {int(d)}cm',
(face[10][0] - 100, face[10][1] - 50),
scale=2)
for i, text in enumerate(textList):
singleHeight = 20 + int((int(d / sen) * sen) / 4)
scale = 0.4 + (int(d / sen) * sen) / 100
cv2.putText(imgText, text, (50, 50 + (i * singleHeight)),
cv2.FONT_ITALIC, scale, (255, 255, 255), 2)
imgStacked = cvzone.stackImages([img, imgText], 2, 1)
cv2.imshow("Image", imgStacked)
cv2.waitKey(1)
cv2.line(img, leftLeft, leftRight, (0, 200, 0), 3)
ratio = int((lenghtVer / lenghtHor) * 100)
ratioList.append(ratio)
if len(ratioList) > 3:
ratioList.pop(0)
ratioAvg = sum(ratioList) / len(ratioList)
if ratioAvg < 35 and counter == 0:
blinkCounter += 1
color = (0, 200, 0)
counter = 1
if counter != 0:
counter += 1
if counter > 10:
counter = 0
color = (255, 0, 255)
cvzone.putTextRect(img,
f'Blink Count: {blinkCounter}', (50, 100),
colorR=color)
imgPlot = plotY.update(ratioAvg, color)
img = cv2.resize(img, (640, 360))
imgStack = cvzone.stackImages([img, imgPlot], 2, 1)
else:
img = cv2.resize(img, (640, 360))
imgStack = cvzone.stackImages([img, img], 2, 1)
cv2.imshow("Image", imgStack)
cv2.waitKey(25)
success, img = cap.read()
# print(img.shape)
hands = detector.findHands(img, draw=False)
if hands:
lmList = hands[0]['lmList']
x1, y1 = lmList[5]
x2, y2 = lmList[17]
x, y, w, h = hands[0]['bbox']
distance = np.sqrt(((y2 - y1) ** 2 + (x2 - x1) ** 2))
A, B, C = coff
distanceCm = A * (distance ** 2) + B * distance + C
# print(distanceCm)
cvzone.putTextRect(img, f'{int(distanceCm)} cm', (x + 5, y - 50))
cv2.rectangle(img, (x, y), (x + w, y + h), (255, 0, 255), 3)
if distanceCm <= 70:
cv2.putText(img, "Hand Detected", (50, 80), cv2.FONT_HERSHEY_SIMPLEX, 2, (0, 255, 0), 5)
if distanceCm < 68:
break
else:
cv2.putText(img, "Hand Not Detected", (50, 80), cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 255, 0), 5)
cv2.imshow("Window", img)
if hands:
lmList = hands[0]['lmList']
x, y, w, h = hands[0]['bbox']
x1, y1 = lmList[5]
x2, y2 = lmList[17]
distance = int(math.sqrt((y2 - y1)**2 + (x2 - x1)**2))
A, B, C = coff
distanceCM = A * distance**2 + B * distance + C
# print(distanceCM, distance)
if distanceCM < 40:
if x < cx < x + w and y < cy < y + h:
counter = 1
cv2.rectangle(img, (x, y), (x + w, y + h), (255, 0, 255), 3)
cvzone.putTextRect(img, f'{int(distanceCM)} cm', (x + 5, y - 10))
if counter:
counter += 1
color = (0, 255, 0)
if counter == 3:
cx = random.randint(100, 1100)
cy = random.randint(100, 600)
color = (255, 0, 255)
score += 1
counter = 0
# Draw Button
cv2.circle(img, (cx, cy), 30, color, cv2.FILLED)
cv2.circle(img, (cx, cy), 10, (255, 255, 255), cv2.FILLED)
cv2.circle(img, (cx, cy), 20, (255, 255, 255), 2)
ratio = (lengthVer/lengthHor)*100
ratioList.append(ratio)
if len(ratioList) > 3:
ratioList.pop(0)
ratioAvg = sum(ratioList)/len(ratioList)
if ratioAvg < 40 and counter == 0:
blinkCounter += 1
counter = 1
color = (0, 200, 0)
if counter != 0:
counter += 1
if counter > 10:
counter = 0
color = (255, 0, 255)
cvzone.putTextRect(img, f'Blink Count: {blinkCounter}', (50, 50), scale=2,
colorR=color)
imgPlot = plotY.update(ratioAvg, color)
# cv2.imshow("ImagePlot", imgPlot)
imgStack = cvzone.stackImages([img, imgPlot], 2, 1)
else:
imgStack = cvzone.stackImages([img, img], 2, 1)
cv2.imshow("Image", imgStack)
cv2.waitKey(1)
def update(self, imgMain, currentHead):
if self.gameOver:
cvzone.putTextRect(imgMain,
"Game Over", [300, 400],
scale=7,
thickness=5,
offset=20)
cvzone.putTextRect(imgMain,
f'Your Score: {self.score}', [300, 550],
scale=7,
thickness=5,
offset=20)
else:
px, py = self.previousHead
cx, cy = currentHead
self.points.append([cx, cy])
distance = math.hypot(cx - px, cy - py)
self.lengths.append(distance)
self.currentLength += distance
self.previousHead = cx, cy
# Length Reduction
if self.currentLength > self.allowedLength:
for i, length in enumerate(self.lengths):
self.currentLength -= length
self.lengths.pop(i)
self.points.pop(i)
if self.currentLength < self.allowedLength:
break
# Check if snake ate the Food
rx, ry = self.foodPoint
if rx - self.wFood // 2 < cx < rx + self.wFood // 2 and \
ry - self.hFood // 2 < cy < ry + self.hFood // 2:
self.randomFoodLocation()
self.allowedLength += 50
self.score += 1
print(self.score)
# Draw Snake
if self.points:
for i, point in enumerate(self.points):
if i != 0:
cv2.line(imgMain, self.points[i - 1], self.points[i],
(0, 0, 255), 20)
cv2.circle(imgMain, self.points[-1], 20, (0, 255, 0),
cv2.FILLED)
# Draw Food
imgMain = cvzone.overlayPNG(
imgMain, self.imgFood,
(rx - self.wFood // 2, ry - self.hFood // 2))
cvzone.putTextRect(imgMain,
f'Score: {self.score}', [50, 80],
scale=3,
thickness=3,
offset=10)
# Check for Collision
pts = np.array(self.points[:-2], np.int32)
pts = pts.reshape((-1, 1, 2))
cv2.polylines(imgMain, [pts], False, (0, 255, 0), 3)
minDist = cv2.pointPolygonTest(pts, (cx, cy), True)
if -1 <= minDist <= 1:
print("Hit")
self.gameOver = True
self.points = [] # all points of the snake
self.lengths = [] # distance between each point
self.currentLength = 0 # total length of the snake
self.allowedLength = 150 # total allowed Length
self.previousHead = 0, 0 # previous head point
self.randomFoodLocation()
return imgMain
