def __init__(self):
# The default logging level is INFO.
# Comment this line to set debug logging off
# self.log.setLevel(logging.DEBUG)
# Make inputs and ouptuts list
params = dict()
AdPythonPlugin.__init__(self, params)
def __init__(self):
# The default logging level is INFO.
# Comment this line to set debug logging off
#self.log.setLevel(logging.DEBUG)
params = dict(
micron_pix = 3.67, # 5.13 for LD_*
# Morphology
m_operation = 3,
m_ksize = 4,
m_iters = 1,
# Threshold
t_ksize = 9,
t_c = 5,
# Contours for cross finding
curve_epsilon = 8,
ar_err = 0.15,
# Canny
canny_thresh = 110,
# Output
step = 7,
ltype = -1,
lsize = -1,
lx = -1.,
ly = -1.,
ch = -1.
)
# import a morphology plugin to do filtering
self.morph = Morph()
AdPythonPlugin.__init__(self, params)
def __init__(self):
# The default logging level is INFO.
# Comment this line to set debug logging off
self.log.setLevel(logging.DEBUG)
params = dict(
# Morphology
m_operation = 3,
m_ksize = 4,
m_iters = 1,
# Threshold
t_ksize = 999,
t_c = 5,
# Contours
c_epsilon = 8,
c_min = 100,
c_max = 1800,
# Output
step = 4,
)
# make a detector and get its param types
detector_formats = ["","Grid","Pyramid"]
detector_types = ["FAST","STAR","SIFT","SURF","ORB","MSER","GFTT","HARRIS","Dense","SimpleBlob"]
########## Change these indexes
detector_format = 0
detector_type = 0
###############
self.det = cv2.FeatureDetector_create(detector_formats[detector_format] + detector_types[detector_type])
self.ranges = {}
for param in self.det.getParams():
typ = self.det.paramType(param)
d_param = "d_" + param
if typ in (FLOAT, REAL):
params[d_param] = float(self.det.getDouble(param))
print param, params[d_param]
step = params[d_param] / 10.0
if step > 1:
step = 1
elif step > 0.1:
step = 0.1
elif step > 0.01:
step = 0.01
elif step > 0.001:
step = 0.001
else:
step = 0.01
params[d_param] = 1.0
self.ranges[d_param] = (0, min(params[d_param]*4, 1000), step)
elif typ == BOOLEAN:
params[d_param] = int(self.det.getBool(param))
self.ranges[d_param] = 2
elif typ in (UNSIGNED_INT, UINT64, SHORT):
params[d_param] = int(self.det.getInt(param))
self.ranges[d_param] = (params[d_param]+1)
# import a morphology plugin to do filtering
self.morph = Morph()
AdPythonPlugin.__init__(self, params)
def __init__(self):
# Set a debug logging level in the local logger
#self.log.setLevel(logging.DEBUG)
params = dict(ksize=3,
prefilter=0,
iters=1,
sum=0.0,
filtered_mean=0.0,
filtered_stddev=0.0)
AdPythonPlugin.__init__(self, params)
def __init__(self):
self.log.setLevel(logging.DEBUG)
params = dict(tcpport=34567, num_clients=0, level=6, ratio=0.0)
AdPythonPlugin.__init__(self, params)
self.zmq_context = zmq.Context()
self.zmq_socket = self.zmq_context.socket(zmq.PUB)
self.zmq_socket.bind("tcp://*:%d" % self['tcpport'])
self.log.debug("HWM: %d", self.zmq_socket.get_hwm())
self.zmq_socket.set_hwm(2)
def __init__(self):
#self.log.setLevel(logging.DEBUG)
params = dict(data="",
type="",
count=0,
quality=0,
threshold=25,
busy=0,
scanner=self.SCANNER_ZBAR)
AdPythonPlugin.__init__(self, params)
self.scanners = {self.SCANNER_ZBAR: ZBarDecoder()}
self._busy = 0
def __init__(self):
# The default logging level is INFO.
# Comment this line to set debug logging off
#self.log.setLevel(logging.DEBUG)
# Make some generic parameters
params = dict(clip = 0,
rotCentreX = -1,
rotCentreY = -1,
rotAngle = 0.0,
fillBlue = 0,
fillGreen = 0,
fillRed = 0)
AdPythonPlugin.__init__(self, params)
def __init__(self):
# The default logging level is INFO.
# Comment this line to set debug logging off
self.log.setLevel(logging.DEBUG)
# Make some generic parameters
# You can change the Name fields on the EDM screen here
# Hide them by making their name -1
params = dict(int1 = 1, int1Name = "Array offset",
int2 = 2, int2Name = "Int 2",
int3 = 3, int3Name = "-1",
double1 = 1.0, double1Name = "Double 1",
double2 = 2.0, double2Name = "Double 2",
double3 = 3.0, double3Name = "-1")
AdPythonPlugin.__init__(self, params)
def __init__(self):
# The default logging level is INFO.
# Comment this line to set debug logging off
self.log.setLevel(logging.DEBUG)
# Make some generic parameters
# You can change the Name fields on the EDM screen here
# Hide them by making their name -1
params = dict(int1 = 101, int1Name = "Threshold block size",
int2 = 13, int2Name = "Threshold C",
int3 = 3, int3Name = "Kernel size",
double1 = 0.35, double1Name = "Angle cos",
double2 = 6.0, double2Name = "Curve epsilon",
double3 = 15.0, double3Name = "Length diff")
self.dm=DataMatrix()
AdPythonPlugin.__init__(self, params)
def __init__(self):
# The default logging level is INFO.
# Comment this line to set debug logging off
self.log.setLevel(logging.DEBUG)
# Make some generic parameters
# You can change the Name fields on the EDM screen here
# Hide them by making their name -1
params = dict(dp=2.0,
minDist=50,
minRadius=50,
maxRadius=200,
drawCircles=1,
param1=315,
x=0.0,
y=0.0)
AdPythonPlugin.__init__(self, params)
def __init__(self):
# The default logging level is INFO.
# Comment this line to set debug logging off
self.log.setLevel(logging.DEBUG)
# Make some generic parameters
# You can change the Name fields on the EDM screen here
# Hide them by making their name -1
# params = dict(int1 = 101, int1Name = "Threshold block size",
# int2 = 13, int2Name = "Threshold C",
# int3 = 3, int3Name = "Kernel size",
# double1 = 0.35, double1Name = "Angle cos",
# double2 = 6.0, double2Name = "Curve epsilon",
# double3 = 15.0, double3Name = "Length diff")
self.dm = pydmtx.DataMatrix()
params = dict(int1=35,
int2=13,
int3=3,
double1=0.35,
double2=6.0,
double3=15.0,
dp=2.2,
minDist=100,
minRadius=50,
maxRadius=100,
param1=500,
step=6,
bc1="",
bc2="",
bc3="",
bc4="",
bc5="",
bc6="",
bc7="",
bc8="",
bc9="",
bc10="",
bc11="",
bc12="",
bc13="",
bc14="",
bc15="",
bc16="",
message="")
AdPythonPlugin.__init__(self, params)
def __init__(self):
# Set logging level
self.log.setLevel(logging.INFO)
# Attributes
self.attributes_missed_on_last_array = 0
# Parameters
params = dict(
Status="Good",
MissedAttributeCounter=0,
ResetMissed=0,
NumAttributes=0,
)
# Create attribute parameters
for i in range(1, 9):
params["Attribute{0}Name".format(i)] = ""
params["Attribute{0}Value".format(i)] = 0.0
AdPythonPlugin.__init__(self, params)
def __init__(self):
# The default logging level is INFO.
# Comment this line to set debug logging off
# self.log.setLevel(logging.DEBUG)
# Make inputs and ouptuts list
params = dict(PeakHeight=1,
OriginX=2,
OriginY=3,
Baseline=3.,
SigmaX=1.0,
SigmaY=2.0,
Angle=3.0,
Error=2.0,
FitWindowSize=3,
FitThinning=5,
Maxiter=20,
FitStatus="",
OverlayROI=0,
Overlayellipse=0,
OverlayCross=0,
OutputType=0,
FitType=-1)
AdPythonPlugin.__init__(self, params)
def __init__(self):
# Default values. All params are integers in this case.
params = dict(
preprocess=0, # Choose from the list of candidate functions.
pp_param1=3, # Generic parameter for preprocessing.
pp_param2=1, # Another. (Meaning imbued by use.)
canny_upper=100, # Thresholds for Canny edge detection.
canny_lower=50,
close_ksize=5, # Kernel size for "close" operation.
close_iterations=1,
scan_direction=+1, # +1:LtR, -1:RtL
min_tip_height=5,
tip_x=-1, # Pixel positions of detected tip.
tip_y=-1, # (Not really parameters...)
top=np.asarray([0], dtype=np.int32), # Edge waveforms.
bottom=np.asarray([0], dtype=np.int32), # (Not parameters either.)
out_arr=0, # Which array to put downstream.
draw_circle=0, # Annotation options.
draw_edges=0,
force_color=0, # Expand colour depth to show colour annotations?
)
AdPythonPlugin.__init__(self, params)
def __init__(self):
params = dict(ksize = 3, operation = 1, iters = 1)
AdPythonPlugin.__init__(self, params)
def __init__(self):
# The only parameter is the sample count for averaging.
params = dict(count=1)
AdPythonPlugin.__init__(self, params)
self.seen = 0