def paramsFactory(filename, n_img, n_pts=4):
if filename == "ptv.par":
return parameters.PtvParams()
if filename == "cal_ori.par":
return parameters.CalOriParams(n_img)
if filename == "sequence.par":
return parameters.SequenceParams(n_img)
if filename == "criteria.par":
return parameters.CriteriaParams()
if filename == "targ_rec.par":
return parameters.TargRecParams(n_img)
if filename == "man_ori.par":
return parameters.ManOriParams(n_img, n_pts)
if filename == "detect_plate.par":
return parameters.DetectPlateParams()
if filename == "orient.par":
return parameters.OrientParams()
if filename == "track.par":
return parameters.TrackingParams()
if filename == "pft_version.par":
return parameters.PftVersionParams()
if filename == "examine.par":
return parameters.ExamineParams()
if filename == "dumbbell.par":
return parameters.DumbbellParams()
if filename == "shaking.par":
return parameters.ShakingParams()
return None
def backup_ori_files(self):
""" backup ORI/ADDPAR files to the backup_cal directory """
calOriParams = par.CalOriParams(self.n_cams, path=self.par_path)
calOriParams.read()
for f in calOriParams.img_ori[:self.n_cams]:
shutil.copyfile(f, f + '.bck')
g = f.replace('ori', 'addpar')
shutil.copyfile(g, g + '.bck')
def protect_ori_files(self):
# backup ORI/ADDPAR files to the backup_cal directory
calOriParams = par.CalOriParams(len(self.camera), path=self.par_path)
calOriParams.read()
for f in calOriParams.img_ori:
d = file(f, 'r').read().split()
if not np.all(np.isfinite(np.asarray(d).astype('f'))):
print "protected ORI file %s " % f
shutil.copyfile(f + '.bck', f)
def restore_ori_files(self):
# backup ORI/ADDPAR files to the backup_cal directory
calOriParams = par.CalOriParams(self.n_cams, path=self.par_path)
calOriParams.read()
for f in calOriParams.img_ori[:self.n_cams]:
print('restored %s ' % f)
shutil.copyfile(f + '.bck', f)
g = f.replace('ori', 'addpar')
shutil.copyfile(g + '.bck', g)
def closed(self,info,is_ok):
calibParams = info.object
par_path = calibParams.par_path
Handler.closed(self,info,is_ok)
if is_ok:
img_cal_name = [calibParams.cam_1, calibParams.cam_2,calibParams.cam_3,calibParams.cam_4]
img_ori =[calibParams.ori_cam_1,calibParams.ori_cam_2,calibParams.ori_cam_3,calibParams.ori_cam_4]
nr1 = [calibParams.img_1_p1,calibParams.img_1_p2,calibParams.img_1_p3,calibParams.img_1_p4]
nr2 = [calibParams.img_2_p1,calibParams.img_2_p2,calibParams.img_2_p3,calibParams.img_2_p4]
nr3 = [calibParams.img_3_p1,calibParams.img_3_p2,calibParams.img_3_p3,calibParams.img_3_p4]
nr4 = [calibParams.img_4_p1,calibParams.img_4_p2,calibParams.img_4_p3,calibParams.img_4_p4]
nr = [nr1, nr2, nr3, nr4]
if(calibParams.chfield == "Frame"):
chfield = 0
elif (calibParams.chfield == "Field odd"):
chfield = 1
else :
chfield = 2
par.PtvParams(calibParams.n_img, calibParams.img_name,\
calibParams.img_cal, calibParams.hp_flag,\
calibParams.allCam_flag, calibParams.tiff_head, calibParams.h_image_size, \
calibParams.v_image_size,calibParams.h_pixel_size, calibParams.v_pixel_size, chfield,\
calibParams.mmp_n1, calibParams.mmp_n2, \
calibParams.mmp_n3, calibParams.mmp_d, path = par_path).write()
par.CalOriParams(calibParams.n_img,calibParams.fixp_name,\
img_cal_name,img_ori,calibParams.tiff_head,\
calibParams.pair_head, chfield, path = par_path).write()
par.DetectPlateParams(calibParams.grey_value_treshold_1, \
calibParams.grey_value_treshold_2, \
calibParams.grey_value_treshold_3, \
calibParams.grey_value_treshold_4, \
calibParams.tolerable_discontinuity, \
calibParams.min_npix, calibParams.max_npix, \
calibParams.min_npix_x, calibParams.max_npix_x, \
calibParams.min_npix_y, calibParams.max_npix_y, \
calibParams.sum_of_grey, \
calibParams.size_of_crosses, path = par_path).write()
par.ManOriParams(calibParams.n_img, 4, nr, path = par_path).write()
par.ExamineParams(calibParams.Examine_Flag,calibParams.Combine_Flag, path = par_path).write()
par.OrientParams(calibParams.point_number_of_orientation, calibParams.principle_distance,\
calibParams.xp, calibParams.yp, calibParams.k1, calibParams.k2,\
calibParams.k3, calibParams.p1, calibParams.p2,\
calibParams.scx, calibParams.she,calibParams.interf, path = par_path).write()
par.ShakingParams(calibParams.shaking_first_frame, calibParams.shaking_last_frame, \
calibParams.shaking_max_num_points, calibParams.shaking_max_num_frames, path = par_path).write()
par.DumbbellParams(calibParams.dumbbell_eps,calibParams.dumbbell_scale,\
calibParams.dumbbell_gradient_descent,calibParams.dumbbell_penalty_weight,\
calibParams.dumbbell_step,calibParams.dumbbell_niter, path = par_path).write()
def protect_ori_files(self):
# backup ORI/ADDPAR files to the backup_cal directory
calOriParams = par.CalOriParams(self.n_cams, path=self.par_path)
calOriParams.read()
for f in calOriParams.img_ori[:self.n_cams]:
with open(f, 'r') as d:
d.read().split()
if not np.all(np.isfinite(np.asarray(d).astype(
'f'))): # if there NaN for instance
print("protected ORI file %s " % f)
shutil.copyfile(f + '.bck', f)
def _button_showimg_fired(self):
print("Load Image fired \n")
# Initialize what is needed, copy necessary things
print("\n Copying man_ori.dat \n")
if os.path.isfile(os.path.join(self.par_path, 'man_ori.dat')):
shutil.copyfile(os.path.join(self.par_path, 'man_ori.dat'),
os.path.join(self.working_folder, 'man_ori.dat'))
# copy parameters from active to default folder parameters/
par.copy_params_dir(self.active_path, self.par_path)
# read from parameters
self.cpar, self.spar, self.vpar, self.track_par, self.tpar, \
self.cals = ptv.py_start_proc_c(self.n_cams)
self.tpar.read('parameters/detect_plate.par')
print(self.tpar.get_grey_thresholds())
self.calParams = par.CalOriParams(self.n_cams, self.par_path)
self.calParams.read()
# read calibration images
self.cal_images = []
for i in range(len(self.camera)):
imname = self.calParams.img_cal_name[i]
# for imname in self.calParams.img_cal_name:
# self.cal_images.append(imread(imname))
im = imread(imname)
if im.ndim > 2:
im = rgb2gray(im)
self.cal_images.append(img_as_ubyte(im))
self.reset_show_images()
# Loading manual parameters here
man_ori_path = os.path.join(self.par_path, 'man_ori.par')
f = open(man_ori_path, 'r')
if f is None:
print('\n Error loading man_ori.par')
else:
for i in range(len(self.camera)):
for j in range(4):
self.camera[i].man_ori[j] = int(f.readline().strip())
f.close()
self.pass_init = True
self.status_text = "Initialization finished."
def __init__(self, path):
# load ptv_par
ptvParams = par.PtvParams(path=path)
ptvParams.read()
self.n_img = ptvParams.n_img
# load cal_ori
calOriParams = par.CalOriParams(self.n_img, path=path)
calOriParams.read()
for i in range(self.n_img):
self.oriEditors.append(oriEditor(get_path(
calOriParams.img_ori[i])))
def closed(self, info, is_ok):
mainParams = info.object
par_path = mainParams.par_path
Handler.closed(self, info, is_ok)
if is_ok:
img_name = [mainParams.Name_1_Image, mainParams.Name_2_Image,\
mainParams.Name_3_Image, mainParams.Name_4_Image]
img_cal_name = [mainParams.Cali_1_Image, mainParams.Cali_2_Image,\
mainParams.Cali_3_Image,mainParams.Cali_4_Image]
gvthres = [mainParams.Gray_Tresh_1,mainParams.Gray_Tresh_2,\
mainParams.Gray_Tresh_3,mainParams.Gray_Tresh_4]
base_name = [mainParams.Basename_1_Seq, mainParams.Basename_2_Seq,\
mainParams.Basename_3_Seq, mainParams.Basename_4_Seq]
X_lay = [mainParams.Xmin, mainParams.Xmax]
Zmin_lay = [mainParams.Zmin1, mainParams.Zmin2]
Zmax_lay = [mainParams.Zmax1, mainParams.Zmax2]
#write ptv_par
par.PtvParams(mainParams.Num_Cam, img_name, img_cal_name,\
mainParams.HighPass, mainParams.Accept_OnlyAllCameras,\
mainParams.tiff_flag, mainParams.imx, mainParams.imy,\
mainParams.pix_x, mainParams.pix_y, mainParams.chfield,\
mainParams.Refr_Air, mainParams.Refr_Glass, \
mainParams.Refr_Water, mainParams.Thick_Glass, path = par_path).write()
#write calibration parameters
par.CalOriParams(mainParams.Num_Cam,mainParams.fixp_name,\
mainParams.img_cal_name,mainParams.img_ori,mainParams.tiff_flag,\
mainParams.pair_Flag,mainParams.chfield, path = par_path).write()
#write targ_rec_par
par.TargRecParams(mainParams.Num_Cam, gvthres, mainParams.Tol_Disc,\
mainParams.Min_Npix ,mainParams.Max_Npix,\
mainParams.Min_Npix_x, mainParams.Max_Npix_x,\
mainParams.Min_Npix_y, mainParams.Max_Npix_y,\
mainParams.Sum_Grey, mainParams.Size_Cross, path = par_path).write()
#write pft_version_par
par.PftVersionParams(mainParams.Existing_Target,
path=par_path).write()
#write sequence_par
par.SequenceParams(mainParams.Num_Cam, base_name,\
mainParams.Seq_First, mainParams.Seq_Last, path = par_path).write()
#write criteria_par
par.CriteriaParams(X_lay,Zmin_lay,Zmax_lay,mainParams.Min_Corr_nx,\
mainParams.Min_Corr_ny,mainParams.Min_Corr_npix ,\
mainParams.Sum_gv,mainParams.Min_Weight_corr ,\
mainParams.Tol_Band, path = par_path).write()
def load_init(self):
calOriParams = par.CalOriParams(len(self.camera), path=self.par_path)
calOriParams.read()
(fixp_name, img_cal_name, img_ori, tiff_flag, pair_flag, chfield) = \
(calOriParams.fixp_name, calOriParams.img_cal_name, calOriParams.img_ori,
calOriParams.tiff_flag, calOriParams.pair_flag, calOriParams.chfield)
self.ori_img_name = img_cal_name
for i in range(len(self.camera)):
print("reading " + self.ori_img_name[i])
try:
img1 = imread(self.ori_img_name[i]).astype(np.ubyte)
except:
print("Error reading image " + self.ori_img_name[i])
break
self.ori_img.append(img1)
if self.camera[i]._plot is not None:
self.camera[i]._plot.delplot(
*self.camera[i]._plot.plots.keys()[0:])
self.camera[i]._plot_data.set_data('imagedata',
self.ori_img[i].astype(np.byte))
self.camera[i]._img_plot = self.camera[i]._plot.img_plot(
'imagedata', colormap=gray)[0]
self.camera[i]._x = []
self.camera[i]._y = []
self.camera[i]._plot.overlays = []
self.camera[i]._img_plot.tools = []
self.camera[i].attach_tools()
self.camera[i]._plot.request_redraw()
self.ptv.py_set_img(self.ori_img[i], i)
f.close()
# Loading manual parameters here
# TODO: rewrite using Parameters subclass
man_ori_path = os.path.join(os.getcwd(), 'parameters', 'man_ori.par')
f = open(man_ori_path, 'r')
if f == None:
printf('\nError loading man_ori.par')
else:
for i in range(len(self.camera)):
for j in range(4):
self.camera[i].man_ori[j] = int(f.readline().strip())
def load_init_v1(self):
calOriParams = par.CalOriParams(len(self.camera), path=self.par_path)
calOriParams.read()
(fixp_name, img_cal_name, img_ori, tiff_flag, pair_flag, chfield) = \
(calOriParams.fixp_name, calOriParams.img_cal_name, calOriParams.img_ori,
calOriParams.tiff_flag, calOriParams.pair_flag, calOriParams.chfield)
self.ori_img_name = img_cal_name
ptvParams = par.PtvParams(path=self.par_path)
ptvParams.read()
(n_img, img_name, img_cal, hp_flag, allCam_flag, tiff_flag, imx, imy, pix_x, pix_y, chfield, mmp_n1, mmp_n2, mmp_n3, mmp_d) = \
(ptvParams.n_img, ptvParams.img_name, ptvParams.img_cal, ptvParams.hp_flag, ptvParams.allCam_flag, ptvParams.tiff_flag,
ptvParams.imx, ptvParams.imy, ptvParams.pix_x, ptvParams.pix_y, ptvParams.chfield, ptvParams.mmp_n1, ptvParams.mmp_n2, ptvParams.mmp_n3, ptvParams.mmp_d)
self.h_pixel = imx
self.v_pixel = imy
self.ori_img = []
print("len(self.camera)")
print(len(self.camera))
for i in range(len(self.camera)):
print("reading " + self.ori_img_name[i])
try:
img1 = imread(self.ori_img_name[i], flatten=1).astype(np.ubyte)
print img1.shape
except:
print("Error reading image " + self.ori_img_name[i])
break
self.ori_img.append(img1)
self.ptv.py_set_img(self.ori_img[i], i)
self.reset_show_images()
# Loading manual parameters here
# TODO: rewrite using Parameters subclass
man_ori_path = os.path.join(os.getcwd(), 'parameters', 'man_ori.par')
f = open(man_ori_path, 'r')
if f is None:
print('\n Error loading man_ori.par')
else:
for i in range(len(self.camera)):
for j in range(4):
self.camera[i].man_ori[j] = int(f.readline().strip())
f.close()
def _reload(self):
# print("reloading")
# self.__init__(self)
# load ptv_par
ptvParams = par.PtvParams(path=self.par_path)
ptvParams.read()
# read picture size parameters
self.h_image_size = ptvParams.imx
self.v_image_size = ptvParams.imy
self.h_pixel_size = ptvParams.pix_x
self.v_pixel_size = ptvParams.pix_y
self.img_cal = ptvParams.img_cal
if ptvParams.allCam_flag:
self.pair_enable_flag = False
else:
self.pair_enable_flag = True
# unesed parameters
self.n_img = ptvParams.n_img
self.img_name = ptvParams.img_name
self.hp_flag = np.bool(ptvParams.hp_flag)
self.allCam_flag = np.bool(ptvParams.allCam_flag)
self.mmp_n1 = ptvParams.mmp_n1
self.mmp_n2 = ptvParams.mmp_n2
self.mmp_n3 = ptvParams.mmp_n3
self.mmp_d = ptvParams.mmp_d
# read_calibration parameters
calOriParams = par.CalOriParams(self.n_img, path=self.par_path)
calOriParams.read()
(fixp_name, img_cal_name, img_ori, tiff_flag, pair_flag, chfield) = \
(calOriParams.fixp_name, calOriParams.img_cal_name, calOriParams.img_ori,
calOriParams.tiff_flag, calOriParams.pair_flag, calOriParams.chfield)
for i in range(self.n_img):
exec("self.cam_{0} = calOriParams.img_cal_name[{1}]".format(
i + 1, i))
exec("self.ori_cam_{0} = calOriParams.img_ori[{1}]".format(
i + 1, i))
self.tiff_head = np.bool(tiff_flag)
self.pair_head = np.bool(pair_flag)
self.fixp_name = fixp_name
if chfield == 0:
self.chfield = "Frame"
elif chfield == 1:
self.chfield = "Field odd"
else:
self.chfield = "Field even"
# read detect plate parameters
detectPlateParams = par.DetectPlateParams(path=self.par_path)
detectPlateParams.read()
(gv_th1, gv_th2, gv_th3, gv_th4, tolerable_discontinuity, min_npix, max_npix, min_npix_x,
max_npix_x, min_npix_y, max_npix_y, sum_of_grey, size_of_crosses) = \
(detectPlateParams.gvth_1, detectPlateParams.gvth_2, detectPlateParams.gvth_3, detectPlateParams.gvth_4,
detectPlateParams.tol_dis, detectPlateParams.min_npix, detectPlateParams.max_npix, detectPlateParams.min_npix_x,
detectPlateParams.max_npix_x, detectPlateParams.min_npix_y, detectPlateParams.max_npix_y, detectPlateParams.sum_grey,
detectPlateParams.size_cross)
for i in range(self.n_img):
exec('self.grey_value_treshold_{0} = gv_th{0}'.format(i + 1))
self.tolerable_discontinuity = tolerable_discontinuity
self.min_npix = min_npix
self.min_npix_x = min_npix_x
self.min_npix_y = min_npix_y
self.max_npix = max_npix
self.max_npix_x = max_npix_x
self.max_npix_y = max_npix_y
self.sum_of_grey = sum_of_grey
self.size_of_crosses = size_of_crosses
# read manual orientaion parameters
manOriParams = par.ManOriParams(self.n_img, [], path=self.par_path)
manOriParams.read()
for i in range(self.n_img):
for j in range(4): # 4 points per image
exec(f"self.img_{i+1}_p{j+1} = manOriParams.nr[{i*4+j}]")
# examine arameters
examineParams = par.ExamineParams(path=self.par_path)
examineParams.read()
(self.Examine_Flag, self.Combine_Flag) = (examineParams.Examine_Flag,
examineParams.Combine_Flag)
# orientation parameters
orientParams = par.OrientParams(path=self.par_path)
orientParams.read()
(po_num_of_ori, cc, xh, yh, k1, k2, k3, p1, p2, scale, shear, interf) = \
(orientParams.pnfo, orientParams.cc, orientParams.xh, orientParams.yh, orientParams.k1, orientParams.k2, orientParams.k3,
orientParams.p1, orientParams.p2, orientParams.scale, orientParams.shear, orientParams.interf)
self.point_number_of_orientation = po_num_of_ori
self.cc = np.bool(cc)
self.xh = np.bool(xh)
self.yh = np.bool(yh)
self.k1 = np.bool(k1)
self.k2 = np.bool(k2)
self.k3 = np.bool(k3)
self.p1 = np.bool(p1)
self.p2 = np.bool(p2)
self.scale = np.bool(scale)
self.shear = np.bool(shear)
self.interf = np.bool(interf)
dumbbellParams = par.DumbbellParams(path=self.par_path)
dumbbellParams.read()
(self.dumbbell_eps, self.dumbbell_scale, self.dumbbell_gradient_descent,
self.dumbbell_penalty_weight, self.dumbbell_step, self.dumbbell_niter) = \
(dumbbellParams.dumbbell_eps, dumbbellParams.dumbbell_scale,
dumbbellParams.dumbbell_gradient_descent, dumbbellParams.dumbbell_penalty_weight,
dumbbellParams.dumbbell_step, dumbbellParams.dumbbell_niter)
shakingParams = par.ShakingParams(path=self.par_path)
shakingParams.read()
(self.shaking_first_frame, self.shaking_last_frame,
self.shaking_max_num_points,
self.shaking_max_num_frames) = (shakingParams.shaking_first_frame,
shakingParams.shaking_last_frame,
shakingParams.shaking_max_num_points,
shakingParams.shaking_max_num_frames)
def _reload(self):
# load ptv_par
ptvParams = par.PtvParams(path=self.par_path)
ptvParams.read()
for i in range(ptvParams.n_img):
exec('self.Name_%d_Image = ptvParams.img_name[%d]' % (i + 1, i))
exec('self.Cali_%d_Image = ptvParams.img_cal[%d]' % (i + 1, i))
self.Refr_Air = ptvParams.mmp_n1
self.Refr_Glass = ptvParams.mmp_n2
self.Refr_Water = ptvParams.mmp_n3
self.Thick_Glass = ptvParams.mmp_d
self.Accept_OnlyAllCameras = np.bool(ptvParams.allCam_flag)
self.Num_Cam = ptvParams.n_img
self.HighPass = np.bool(ptvParams.hp_flag)
# load unused
self.tiff_flag = np.bool(ptvParams.tiff_flag)
self.imx = ptvParams.imx
self.imy = ptvParams.imy
self.pix_x = ptvParams.pix_x
self.pix_y = ptvParams.pix_y
self.chfield = ptvParams.chfield
# read_calibration parameters
calOriParams = par.CalOriParams(ptvParams.n_img, path=self.par_path)
calOriParams.read()
self.pair_Flag = np.bool(calOriParams.pair_flag)
self.img_cal_name = calOriParams.img_cal_name
self.img_ori = calOriParams.img_ori
self.fixp_name = calOriParams.fixp_name
# load read_targ_rec
targRecParams = par.TargRecParams(ptvParams.n_img, path=self.par_path)
targRecParams.read()
for i in range(ptvParams.n_img):
exec("self.Gray_Tresh_{0} = targRecParams.gvthres[{1}]".format(
i + 1, i))
self.Min_Npix = targRecParams.nnmin
self.Max_Npix = targRecParams.nnmax
self.Min_Npix_x = targRecParams.nxmin
self.Max_Npix_x = targRecParams.nxmax
self.Min_Npix_y = targRecParams.nymin
self.Max_Npix_y = targRecParams.nymax
self.Sum_Grey = targRecParams.sumg_min
self.Tol_Disc = targRecParams.disco
self.Size_Cross = targRecParams.cr_sz
# load pft_version
pftVersionParams = par.PftVersionParams(path=self.par_path)
pftVersionParams.read()
self.Existing_Target = np.bool(pftVersionParams.Existing_Target)
# load sequence_par
sequenceParams = par.SequenceParams(ptvParams.n_img,
path=self.par_path)
sequenceParams.read()
for i in range(ptvParams.n_img):
exec(
"self.Basename_{0}_Seq = sequenceParams.base_name[{1}]".format(
i + 1, i))
self.Seq_First = sequenceParams.first
self.Seq_Last = sequenceParams.last
# load criteria_par
criteriaParams = par.CriteriaParams(path=self.par_path)
criteriaParams.read()
self.Xmin = criteriaParams.X_lay[0]
self.Xmax = criteriaParams.X_lay[1]
self.Zmin1 = criteriaParams.Zmin_lay[0]
self.Zmin2 = criteriaParams.Zmin_lay[1]
self.Zmax1 = criteriaParams.Zmax_lay[0]
self.Zmax2 = criteriaParams.Zmax_lay[1]
self.Min_Corr_nx = criteriaParams.cnx
self.Min_Corr_ny = criteriaParams.cny
self.Min_Corr_npix = criteriaParams.cn
self.Sum_gv = criteriaParams.csumg
self.Min_Weight_corr = criteriaParams.corrmin
self.Tol_Band = criteriaParams.eps0
def _reload(self):
# print("raloading")
# self.__init__(self)
# load ptv_par
ptvParams = par.PtvParams(path=self.par_path)
ptvParams.read()
(n_img, img_name, img_cal, hp_flag, allCam_flag, tiff_flag, imx, imy, pix_x, pix_y, chfield, mmp_n1, mmp_n2, mmp_n3, mmp_d) = \
(ptvParams.n_img, ptvParams.img_name, ptvParams.img_cal, ptvParams.hp_flag, ptvParams.allCam_flag, ptvParams.tiff_flag,
ptvParams.imx, ptvParams.imy, ptvParams.pix_x, ptvParams.pix_y, ptvParams.chfield, ptvParams.mmp_n1, ptvParams.mmp_n2, ptvParams.mmp_n3, ptvParams.mmp_d)
# read picture size parameters
self.h_image_size = imx
self.v_image_size = imy
self.h_pixel_size = pix_x
self.v_pixel_size = pix_y
self.img_cal = img_cal
if allCam_flag:
self.pair_enable_flag = False
else:
self.pair_enable_flag = True
# unesed parameters
self.n_img = n_img
self.img_name = img_name
self.hp_flag = n.bool(hp_flag)
self.allCam_flag = n.bool(allCam_flag)
self.mmp_n1 = mmp_n1
self.mmp_n2 = mmp_n2
self.mmp_n3 = mmp_n3
self.mmp_d = mmp_d
# read_calibration parameters
calOriParams = par.CalOriParams(n_img, path=self.par_path)
calOriParams.read()
(fixp_name, img_cal_name, img_ori, tiff_flag, pair_flag, chfield) = \
(calOriParams.fixp_name, calOriParams.img_cal_name, calOriParams.img_ori,
calOriParams.tiff_flag, calOriParams.pair_flag, calOriParams.chfield)
self.cam_1 = img_cal_name[0]
self.cam_2 = img_cal_name[1]
self.cam_3 = img_cal_name[2]
self.cam_4 = img_cal_name[3]
self.ori_cam_1 = img_ori[0]
self.ori_cam_2 = img_ori[1]
self.ori_cam_3 = img_ori[2]
self.ori_cam_4 = img_ori[3]
self.tiff_head = n.bool(tiff_flag)
self.pair_head = n.bool(pair_flag)
self.fixp_name = fixp_name
if chfield == 0:
self.chfield = "Frame"
elif chfield == 1:
self.chfield = "Field odd"
else:
self.chfield = "Field even"
# read detect plate parameters
detectPlateParams = par.DetectPlateParams(path=self.par_path)
detectPlateParams.read()
(gv_th1, gv_th2, gv_th3, gv_th4, tolerable_discontinuity, min_npix, max_npix, min_npix_x,
max_npix_x, min_npix_y, max_npix_y, sum_of_grey, size_of_crosses) = \
(detectPlateParams.gvth_1, detectPlateParams.gvth_2, detectPlateParams.gvth_3, detectPlateParams.gvth_4,
detectPlateParams.tol_dis, detectPlateParams.min_npix, detectPlateParams.max_npix, detectPlateParams.min_npix_x,
detectPlateParams.max_npix_x, detectPlateParams.min_npix_y, detectPlateParams.max_npix_y, detectPlateParams.sum_grey,
detectPlateParams.size_cross)
self.grey_value_treshold_1 = gv_th1
self.grey_value_treshold_2 = gv_th2
self.grey_value_treshold_3 = gv_th3
self.grey_value_treshold_4 = gv_th4
self.tolerable_discontinuity = tolerable_discontinuity
self.min_npix = min_npix
self.min_npix_x = min_npix_x
self.min_npix_y = min_npix_y
self.max_npix = max_npix
self.max_npix_x = max_npix_x
self.max_npix_y = max_npix_y
self.sum_of_grey = sum_of_grey
self.size_of_crosses = size_of_crosses
# read manual orientaion parameters
manOriParams = par.ManOriParams(n_img, 4, path=self.par_path)
manOriParams.read()
nr = manOriParams.nr
self.img_1_p1 = nr[0][0]
self.img_1_p2 = nr[0][1]
self.img_1_p3 = nr[0][2]
self.img_1_p4 = nr[0][3]
self.img_2_p1 = nr[1][0]
self.img_2_p2 = nr[1][1]
self.img_2_p3 = nr[1][2]
self.img_2_p4 = nr[1][3]
self.img_3_p1 = nr[2][0]
self.img_3_p2 = nr[2][1]
self.img_3_p3 = nr[2][2]
self.img_3_p4 = nr[2][3]
self.img_4_p1 = nr[3][0]
self.img_4_p2 = nr[3][1]
self.img_4_p3 = nr[3][2]
self.img_4_p4 = nr[3][3]
# examine arameters
examineParams = par.ExamineParams(path=self.par_path)
examineParams.read()
(self.Examine_Flag, self.Combine_Flag) = (examineParams.Examine_Flag,
examineParams.Combine_Flag)
# orientation parameters
orientParams = par.OrientParams(path=self.par_path)
orientParams.read()
(po_num_of_ori, pri_dist, xp, yp, k1, k2, k3, p1, p2, scx, she, interf) = \
(orientParams.pnfo, orientParams.prin_dis, orientParams.xp, orientParams.yp, orientParams.k1, orientParams.k2, orientParams.k3,
orientParams.p1, orientParams.p2, orientParams.scx, orientParams.she, orientParams.interf)
self.point_number_of_orientation = po_num_of_ori
self.principle_distance = n.bool(pri_dist)
self.xp = n.bool(xp)
self.yp = n.bool(yp)
self.k1 = n.bool(k1)
self.k2 = n.bool(k2)
self.k3 = n.bool(k3)
self.p1 = n.bool(p1)
self.p2 = n.bool(p2)
self.scx = n.bool(scx)
self.she = n.bool(she)
self.interf = n.bool(interf)
dumbbellParams = par.DumbbellParams(path=self.par_path)
dumbbellParams.read()
(self.dumbbell_eps, self.dumbbell_scale, self.dumbbell_gradient_descent,
self.dumbbell_penalty_weight, self.dumbbell_step, self.dumbbell_niter) = \
(dumbbellParams.dumbbell_eps, dumbbellParams.dumbbell_scale,
dumbbellParams.dumbbell_gradient_descent, dumbbellParams.dumbbell_penalty_weight,
dumbbellParams.dumbbell_step, dumbbellParams.dumbbell_niter)
shakingParams = par.ShakingParams(path=self.par_path)
shakingParams.read()
(self.shaking_first_frame, self.shaking_last_frame,
self.shaking_max_num_points,
self.shaking_max_num_frames) = (shakingParams.shaking_first_frame,
shakingParams.shaking_last_frame,
shakingParams.shaking_max_num_points,
shakingParams.shaking_max_num_frames)
def _reload(self):
# load ptv_par
ptvParams = par.PtvParams(path=self.par_path)
ptvParams.read()
(n_img, img_name, img_cal, hp_flag, allCam_flag, tiff_flag, imx, imy, pix_x, pix_y, chfield, mmp_n1, mmp_n2, mmp_n3, mmp_d) = \
(ptvParams.n_img, ptvParams.img_name, ptvParams.img_cal, ptvParams.hp_flag, ptvParams.allCam_flag, ptvParams.tiff_flag,
ptvParams.imx, ptvParams.imy, ptvParams.pix_x, ptvParams.pix_y, ptvParams.chfield, ptvParams.mmp_n1, ptvParams.mmp_n2, ptvParams.mmp_n3, ptvParams.mmp_d)
self.Name_1_Image = img_name[0]
self.Name_2_Image = img_name[1]
self.Name_3_Image = img_name[2]
self.Name_4_Image = img_name[3]
self.Cali_1_Image = img_cal[0]
self.Cali_2_Image = img_cal[1]
self.Cali_3_Image = img_cal[2]
self.Cali_4_Image = img_cal[3]
self.Refr_Air = mmp_n1
self.Refr_Glass = mmp_n2
self.Refr_Water = mmp_n3
self.Thick_Glass = mmp_d
self.Accept_OnlyAllCameras = n.bool(allCam_flag)
self.Num_Cam = n_img
self.HighPass = n.bool(hp_flag)
# load unused
self.tiff_flag = n.bool(tiff_flag)
self.imx = imx
self.imy = imy
self.pix_x = pix_x
self.pix_y = pix_y
self.chfield = chfield
# read_calibration parameters
calOriParams = par.CalOriParams(n_img, path=self.par_path)
calOriParams.read()
(fixp_name, img_cal_name, img_ori, tiff_flag, pair_flag, chfield) = \
(calOriParams.fixp_name, calOriParams.img_cal_name, calOriParams.img_ori,
calOriParams.tiff_flag, calOriParams.pair_flag, calOriParams.chfield)
self.pair_Flag = n.bool(pair_flag)
self.img_cal_name = img_cal_name
self.img_ori = img_ori
self.fixp_name = fixp_name
# load read_targ_rec
targRecParams = par.TargRecParams(n_img, path=self.par_path)
targRecParams.read()
(gvthres, disco, nnmin, nnmax, nxmin, nxmax, nymin, nymax, sumg_min, cr_sz) = \
(targRecParams.gvthres, targRecParams.disco, targRecParams.nnmin, targRecParams.nnmax, targRecParams.nxmin,
targRecParams.nxmax, targRecParams.nymin, targRecParams.nymax, targRecParams.sumg_min, targRecParams.cr_sz)
self.Gray_Tresh_1 = gvthres[0]
self.Gray_Tresh_2 = gvthres[1]
self.Gray_Tresh_3 = gvthres[2]
self.Gray_Tresh_4 = gvthres[3]
self.Min_Npix = nnmin
self.Max_Npix = nnmax
self.Min_Npix_x = nxmin
self.Max_Npix_x = nxmax
self.Min_Npix_y = nymin
self.Max_Npix_y = nymax
self.Sum_Grey = sumg_min
self.Tol_Disc = disco
self.Size_Cross = cr_sz
# load pft_version
pftVersionParams = par.PftVersionParams(path=self.par_path)
pftVersionParams.read()
self.Existing_Target = n.bool(pftVersionParams.Existing_Target)
# load sequence_par
sequenceParams = par.SequenceParams(n_img, path=self.par_path)
sequenceParams.read()
(base_name, first, last) = \
(sequenceParams.base_name, sequenceParams.first, sequenceParams.last)
self.Basename_1_Seq = base_name[0]
self.Basename_2_Seq = base_name[1]
self.Basename_3_Seq = base_name[2]
self.Basename_4_Seq = base_name[3]
self.Seq_First = first
self.Seq_Last = last
# load criteria_par
criteriaParams = par.CriteriaParams(path=self.par_path)
criteriaParams.read()
(X_lay, Zmin_lay, Zmax_lay, cnx, cny, cn, csumg, corrmin, eps0) = \
(criteriaParams.X_lay, criteriaParams.Zmin_lay, criteriaParams.Zmax_lay, criteriaParams.cnx,
criteriaParams.cny, criteriaParams.cn, criteriaParams.csumg, criteriaParams.corrmin, criteriaParams.eps0)
self.Xmin = X_lay[0]
self.Xmax = X_lay[1]
self.Zmin1 = Zmin_lay[0]
self.Zmin2 = Zmin_lay[1]
self.Zmax1 = Zmax_lay[0]
self.Zmax2 = Zmax_lay[1]
self.Min_Corr_nx = cnx
self.Min_Corr_ny = cny
self.Min_Corr_npix = cn
self.Sum_gv = csumg
self.Min_Weight_corr = corrmin
self.Tol_Band = eps0
