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Change from RPi

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This commit is contained in:
Siwat Sirichai 2022-12-10 11:24:03 +07:00
parent 7d7518f565
commit a56c4621a0
3 changed files with 12 additions and 11 deletions
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8
ColorPicker.py
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@ -1,9 +1,9 @@
import cv2 import cv2
import numpy as np import numpy as np
frameWidth = 640 frameWidth = 400
frameHeight = 480 frameHeight = 500
cap = cv2.VideoCapture(1) cap = cv2.VideoCapture(0)
cap.set(3, frameWidth) cap.set(3, frameWidth)
cap.set(4, frameHeight) cap.set(4, frameHeight)
@ -20,7 +20,7 @@ cv2.createTrackbar("SAT Max", "HSV", 255, 255, empty)
cv2.createTrackbar("VALUE Min", "HSV", 0, 255, empty) cv2.createTrackbar("VALUE Min", "HSV", 0, 255, empty)
cv2.createTrackbar("VALUE Max", "HSV", 255, 255, empty) cv2.createTrackbar("VALUE Max", "HSV", 255, 255, empty)
cap = cv2.VideoCapture('vid1.mp4')
frameCounter = 0 frameCounter = 0
while True: while True:

7
LaneDetectionModule.py
View file

@ -78,8 +78,8 @@ def getLaneCurve(img, display = 2):
if __name__ == '__main__': if __name__ == '__main__':
cap = cv2.VideoCapture('vid1.mp4') cap = cv2.VideoCapture(0)
initialTrackBarVals = [116, 138, 20, 232] initialTrackBarVals = [96, 139, 48, 218]
utils.initializeTrackbars(initialTrackBarVals) utils.initializeTrackbars(initialTrackBarVals)
frameCounter = 0 frameCounter = 0
curveList = [] curveList = []
@ -92,7 +92,7 @@ if __name__ == '__main__':
success, img = cap.read() success, img = cap.read()
img = cv2.resize(img,(480,240)) img = cv2.resize(img,(480,240))
curve = getLaneCurve(img, display = 1) curve = getLaneCurve(img, display = 2)
print(curve) print(curve)
#cv2.imshow('Vid', img) #cv2.imshow('Vid', img)
cv2.waitKey(1) cv2.waitKey(1)
@ -100,3 +100,4 @@ if __name__ == '__main__':

4
utils.py
View file

@ -5,8 +5,8 @@ import numpy as np
def thresholding(img): def thresholding(img):
imgHsv = cv2.cvtColor(img,cv2.COLOR_BGR2HSV) imgHsv = cv2.cvtColor(img,cv2.COLOR_BGR2HSV)
lowerWhite = np.array([19,0,150]) lowerWhite = np.array([0,0,180])
upperWhite = np.array([170,70,255]) upperWhite = np.array([179,255,255])
maskWhite = cv2.inRange(imgHsv,lowerWhite,upperWhite) maskWhite = cv2.inRange(imgHsv,lowerWhite,upperWhite)
return maskWhite return maskWhite