cameraenvironment.showCalib()
cameraenvironment.showResiduals()
#--------------------- Calculate homography -------------------------------
#Set homography parameters
hgmethod = 'sparse' #Sparse/dense homography method
hgseed = [50000, 0.1, 5.0] #Seeding parameters (max. pts, quality, min.
#distance)
hgtrack = [(25, 25), 1.0, 4] #Tracking parameters (window size, backtracking
#threshold, min. number of pts)
#Set up Homography object
homog = Homography(camimgs,
cameraenvironment,
caminvmask,
calibFlag=True,
band='L',
equal=True)
#Calculate homography
hg = homog.calcHomographies([hgmethod, hgseed, hgtrack])
homogmatrix = [item[0] for item in hg]
#---------------------- Detect and calculate areas -------------------------
#Define Area class initialisa
colour = False #Define colour range?
verify = False #Manually verify detected areas?
calibFlag = True #Detect with corrected or uncorrected images
maxim = 0 #Image number of maximum areal extent
imband = 'R' #Desired image band
os.makedirs(destination)
# Define camera environment
cam = CamEnv(camdata)
# --------------------- Calculate homography -------------------------------
# Set homography parameters
hgback = 1.0 # Back-tracking threshold
hgmax = 50000 # Maximum number of points to seed
hgqual = 0.1 # Corner quality for seeding
hgmind = 5.0 # Minimum distance between seeded points
hgminf = 4 # Minimum number of seeded points to track
# Set up Homography object
homog = Homography(camimgs_start,
cam,
invmask,
calibFlag=True,
band='L',
equal=True)
# Calculate homography
hg = homog.calcHomographyPairs(hgback, hgmax, hgqual, hgmind, hgminf)
homogmatrix = [item[0] for item in hg]
# ----------------------- Calculate/import lines ---------------------------
# Set up line object
terminus = Line(camimgs_start, cam, homogmatrix)
# Used to select a file to start the tracking from
start_frame = 'ReportImages/tests/' # Path from destination
start_frame_name = 'IMG_3211.JPG' # File name
start_frame += start_frame_name
cameraenvironment.reportCamData()
cameraenvironment.showGCPs()
cameraenvironment.showPrincipalPoint()
cameraenvironment.showCalib()
#---------------------- Calculate homography ------------------------------
#Set homography parameters
hgback=1.0 #Back-tracking threshold
hgmax=50000 #Maximum number of points to seed
hgqual=0.1 #Corner quality for seeding
hgmind=5.0 #Minimum distance between seeded points
hgminf=4 #Minimum number of seeded points to track
#Set up Homography object
homog = Homography(camimgs, cameraenvironment, caminvmask, calibFlag=True,
band='L', equal=True)
#Calculate homography
hgout = homog.calcHomographyPairs(hgback, hgmax, hgqual, hgmind, hgminf)
#---------------------- Calculate velocities ------------------------------
#Set velocity parameters
bk = 1.0 #Back-tracking threshold
mpt = 50000 #Maximum number of points to seed
ql = 0.1 #Corner quality for seeding
mdis = 5.0 #Minimum distance between seeded points
mfeat = 4 #Minimum number of seeded points to track
#Set up Velocity object
#Optimise camera environment
cam.optimiseCamEnv(optflag, optmethod, show)
#--------------------- Calculate homography -------------------------------
#Set homography parameters
hmethod = 'sparse' #Method
hgwinsize = (25, 25) #Tracking window size
hgback = 1.0 #Back-tracking threshold
hgmax = 50000 #Maximum number of points to seed
hgqual = 0.1 #Corner quality for seeding
hgmind = 5.0 #Minimum distance between seeded points
hgminf = 4 #Minimum number of seeded points to track
#Set up Homography object
homog = Homography(camimgs, cam, invmask, calibFlag=True, band='L', equal=True)
#Calculate homography
hg = homog.calcHomographies(
[hmethod, [hgmax, hgqual, hgmind], [hgwinsize, hgback, hgminf]])
homogmatrix = [item[0] for item in hg]
#----------------------- Calculate/import lines ---------------------------
#Set up line object
terminus = Line(camimgs, cam, homogmatrix)
#Manually define terminus lines
lines = terminus.calcManualLines()