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Copy pathReal-time_Object_Detection_and_Tracking.py
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Real-time_Object_Detection_and_Tracking.py
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import cv2
import numpy as np
frameWidth = 640
frameHeight = 480
cap = cv2.VideoCapture(0)
cap.set(3, frameWidth)
cap.set(4, frameHeight)
def empty(a):
threshold1 = cv2.getTrackbarPos("Threshold1", "Parameters")
threshold2 = cv2.getTrackbarPos("Threshold2", "Parameters")
area = cv2.getTrackbarPos("Area", "Parameters")
print("Threshold1:", threshold1)
print("Threshold2:", threshold2)
print("Area:", area)
# Create the "Parameters" window
cv2.namedWindow("Parameters")
cv2.resizeWindow("Parameters", 640, 240)
# Create the trackbars
cv2.createTrackbar("Threshold1", "Parameters", 23, 255, empty)
cv2.createTrackbar("Threshold2", "Parameters", 20, 255, empty)
cv2.createTrackbar("Area", "Parameters", 5000, 30000, empty)
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,imgContour):
contours, hierarchy = cv2.findContours(img, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_NONE)
for cnt in contours:
area = cv2.contourArea(cnt)
areaMin = cv2.getTrackbarPos("Area", "Parameters")
if area > areaMin:
cv2.drawContours(imgContour, cnt, -1, (255, 0, 255), 7)
peri = cv2.arcLength(cnt, True)
approx = cv2.approxPolyDP(cnt, 0.02 * peri, True)
print(len(approx))
x , y , w, h = cv2.boundingRect(approx)
cv2.rectangle(imgContour, (x , y ), (x + w , y + h ), (0, 255, 0), 5)
cv2.putText(imgContour, "Points: " + str(len(approx)), (x + w + 20, y + 20), cv2.FONT_HERSHEY_COMPLEX, .7, (0, 255, 0), 2)
cv2.putText(imgContour, "Area: " + str(int(area)), (x + w + 20, y + 45), cv2.FONT_HERSHEY_COMPLEX, 0.7, (0, 255, 0), 2)
while True:
success, img = cap.read()
imgContour = img.copy()
imgBlur = cv2.GaussianBlur(img, (7, 7), 1)
imgGray = cv2.cvtColor(imgBlur, cv2.COLOR_BGR2GRAY)
threshold1 = cv2.getTrackbarPos("Threshold1", "Parameters")
threshold2 = cv2.getTrackbarPos("Threshold2", "Parameters")
imgCanny = cv2.Canny(imgGray,threshold1,threshold2)
kernel = np.ones((5, 5))
imgDil = cv2.dilate(imgCanny, kernel, iterations=1)
getContours(imgDil,imgContour)
imgStack = stackImages(0.8,([img,imgCanny], [imgDil,imgContour]))
cv2.imshow("Result", imgStack)
if cv2.waitKey(1) & 0xFF == ord('q'):
break
#-------------------------------------------------------------------------------------------------------------------------------------------------------
# cv2.namedWindow("Parameters")
# cv2.resizeWindow("Parameters", 640, 240)
# cv2.createTrackbar("Threshold1", "Parameters", 23, 255, empty)
# cv2.createTrackbar("Threshold2", "Parameters", 20, 255, empty)
# cv2.createTrackbar("Area", "Parameters", 5000, 30000, empty)