import argparse
import imutils
import cv2
frame1 = cv2.imread(r'C:\Users\PIYUSH\Desktop\pic1.jpg')
frame2 = cv2.imread(r'C:\Users\PIYUSH\Desktop\pic2.jpg')
#while True:
#flag, frame = cap.read()
#cv2.imwrite(r'C:\Users\PIYUSH\Desktop\pic2.jpg',frame)
#frame2=cv2.imread(r'C:\Users\PIYUSH\Desktop\pic2.jpg')
# load the two images and resize them to have a width of 400 pixels
# (for faster processing)
#imageA = cv2.imread(r'C:\Users\PIYUSH\Desktop\pic1.jpg')
#imageB = cv2.imread(r'C:\Users\PIYUSH\Desktop\pic2.jpg')
frame1 = imutils.resize(frame1, width=400)
frame2 = imutils.resize(frame2, width=400)
# stitch the images together to create a panorama
stitcher = stitcher()
(result, vis) = stitcher.stitch([frame1, frame2], showMatches=True)
#frame1=frame2
# show the images
#cv2.imshow("Image A", imageA)
cv2.imshow("stiched",vis)
cv2.waitKey(0)
#v2.imshow("Keypoint Matches",vis)
#cv2.imshow("Result", result)
#if cv2.waitKey(10) & 0xFF == ord('q'):
# break
def karnapadega():
while (True):
cap1 = cv2.VideoCapture(1)
cap2 = cv2.VideoCapture(0)
ret1, frame1 = cap1.read()
ret2, frame2 = cap2.read()
if ret1 == True and ret2 == True:
cv2.imshow("frame", frame1)
cv2.imshow("frame", frame2)
print("dududu")
#gray = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
if result1 > 0.01:
#gray = cv2.cvtColor(frame)
cv2.imwrite(outpath1, frame1)
cv2.waitKey(1)
cap1.release()
cv2.imwrite(outpath2, frame2)
cv2.waitKey(1)
cap2.release()
cv2.destroyAllWindows()
# construct the argument parse and parse the arguments
'''ap = argparse.ArgumentParser()
ap.add_argument("-f", "--first", required=True,
help="path to the first image")
ap.add_argument("-s", "--second", required=True,
help="path to the second image")
args = vars(ap.parse_args())'''
# load the two images and resize them to have a width of 400 pixels
# (for faster processing)
imageA = cv2.imread(outpath1)
imageB = cv2.imread(outpath2)
imageA = imutils.resize(imageA, width=400)
imageB = imutils.resize(imageB, width=400)
from Stitcher import stitcher
# stitch the images together to create a panorama
stitcher = stitcher()
(result, vis) = stitcher.stitch([imageA, imageB],
showMatches=True)
# show the images
#cv2.imshow("Image A", imageA)
#cv2.imshow("Image B", imageB)
#cv2.imshow("Keypoint Matches", vis)
cv2.imwrite(outpath, vis)
cv2.waitKey(1)
cap1.release()
cap2.release()
cv2.destroyAllWindows()
upload(outpath)
break
else:
cv2.destroyAllWindows()
break