pas grand chose de nouveau
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@ -17,10 +17,11 @@ retR, imgR= cv2.VideoCapture(CamR_id, cv2.CAP_V4L2).read()
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imgR_gray = cv2.cvtColor(imgR,cv2.COLOR_BGR2GRAY)
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imgL_gray = cv2.cvtColor(imgL,cv2.COLOR_BGR2GRAY)
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'''
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# Reading the mapping values for stereo image rectification
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cv_file = cv2.FileStorage("data/params_py.xml", cv2.FILE_STORAGE_READ)
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Left_Stereo_Map_x = cv_file.getNode("Left_Stereo_Map_x").mat()
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print(Left_Stereo_Map_x)
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#print(Left_Stereo_Map_x)
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Left_Stereo_Map_y = cv_file.getNode("Left_Stereo_Map_y").mat()
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Right_Stereo_Map_x = cv_file.getNode("Right_Stereo_Map_x").mat()
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Right_Stereo_Map_y = cv_file.getNode("Right_Stereo_Map_y").mat()
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@ -80,6 +81,9 @@ while True:
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retL, imgL= cv2.VideoCapture(CamL_id, cv2.CAP_V4L2).read()
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retR, imgR= cv2.VideoCapture(CamR_id, cv2.CAP_V4L2).read()
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'''
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cv2.imshow('imgL',imgL)
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cv2.waitKey(0)
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retR, imgR= CamR.read()
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retL, imgL= CamL.read()
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'''
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@ -87,13 +91,14 @@ while True:
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if retL and retR:
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imgR_gray = cv2.cvtColor(imgR,cv2.COLOR_BGR2GRAY)
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imgL_gray = cv2.cvtColor(imgL,cv2.COLOR_BGR2GRAY)
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'''
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cv2.imshow('imgL_gray',imgL_gray)
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cv2.imshow('imgR_gray',imgR_gray)
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cv2.waitKey(33)
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cv2.waitKey(0)
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'''
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# Applying stereo image rectification on the left image
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Left_nice= cv2.remap(imgL_gray,
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Left_Stereo_Map_x,
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@ -101,7 +106,9 @@ while True:
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cv2.INTER_LANCZOS4,
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cv2.BORDER_CONSTANT,
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0)
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cv2.imshow('imgL nice',Left_nice)
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cv2.waitKey(0)
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#print(Left_nice)
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# Applying stereo image rectification on the right image
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Right_nice= cv2.remap(imgR_gray,
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Right_Stereo_Map_x,
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@ -109,7 +116,9 @@ while True:
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cv2.INTER_LANCZOS4,
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cv2.BORDER_CONSTANT,
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0)
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cv2.imshow('imgR nice',Right_nice)
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cv2.waitKey(0)
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# Setting the updated parameters before computing disparity map
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stereo.setNumDisparities(numDisparities)
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stereo.setBlockSize(blockSize)
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