/usr/lib/python2.7/dist-packages/pyFAI/peak_picker.py is in pyfai 0.10.2-1.
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# -*- coding: utf-8 -*-
#
# Project: Azimuthal integration
# https://github.com/kif/pyFAI
#
# Copyright (C) European Synchrotron Radiation Facility, Grenoble, France
#
# Principal author: Jérôme Kieffer (Jerome.Kieffer@ESRF.eu)
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program. If not, see <http://www.gnu.org/licenses/>.
#
from __future__ import print_function
__author__ = "Jérôme Kieffer"
__contact__ = "Jerome.Kieffer@ESRF.eu"
__license__ = "GPLv3+"
__copyright__ = "European Synchrotron Radiation Facility, Grenoble, France"
__date__ = "22/10/2014"
__status__ = "production"
import os
import sys
import threading
import logging
import gc
import types
import array
import operator
import numpy
from . import gui_utils
if gui_utils.has_Qt:
from .gui_utils import pylab, update_fig, maximize_fig, QtGui
import fabio
from .utils import percentile
from .reconstruct import reconstruct
from .calibrant import Calibrant, ALL_CALIBRANTS
from .blob_detection import BlobDetection
from .massif import Massif
logger = logging.getLogger("pyFAI.peak_picker")
if os.name != "nt":
WindowsError = RuntimeError
################################################################################
# PeakPicker
################################################################################
class PeakPicker(object):
"""
This class is in charge of peak picking, i.e. find bragg spots in the image
Two methods can be used : massif or blob
"""
VALID_METHODS = ["massif", "blob"]
help = ["Please select rings on the diffraction image. In parenthesis, some modified shortcuts for single button mouse (Apple):",
" * Right-click (click+n): try an auto find for a ring",
" * Right-click + Ctrl (click+b): create new group with one point",
" * Right-click + Shift (click+v): add one point to current group",
" * Right-click + m (click+m): find more points for current group",
" * Center-click or (click+d): erase current group",
" * Center-click + 1 or (click+1): erase closest point from current group"]
def __init__(self, strFilename, reconst=False, mask=None,
pointfile=None, calibrant=None, wavelength=None, method="massif"):
"""
@param strFilename: input image filename
@param reconst: shall masked part or negative values be reconstructed (wipe out problems with pilatus gaps)
@param mask: area in which keypoints will not be considered as valid
@param pointfile:
"""
self.strFilename = strFilename
self.data = fabio.open(strFilename).data.astype("float32")
if mask is not None:
mask = mask.astype(bool)
view = self.data.ravel()
flat_mask = mask.ravel()
min_valid = view[numpy.where(flat_mask == False)].min()
view[numpy.where(flat_mask)] = min_valid
self.shape = self.data.shape
self.points = ControlPoints(pointfile, calibrant=calibrant, wavelength=wavelength)
self.fig = None
self.fig2 = None
self.fig2sp = None
self.ax = None
self.ct = None
self.msp = None
self.append_mode = None
self.spinbox = None
self.refine_btn = None
self.ref_action = None
self.sb_action = None
self.reconstruct = reconst
self.mask = mask
self.massif = None #used for massif detection
self.blob = None #used for blob detection
self._sem = threading.Semaphore()
# self._semGui = threading.Semaphore()
self.mpl_connectId = None
self.defaultNbPoints = 100
self._init_thread = None
self.point_filename = None
self.callback = None
if method in self.VALID_METHODS:
self.method = method
else:
logger.error("Not a valid peak-picker method: %s should be part of %s" % (method, self.VALID_METHODS))
self.method = self.VALID_METHODS[0]
if self.method == "massif":
self.init_massif(False)
elif self.method == "blob":
self.init_blob(False)
def init(self, method, sync=True):
"""
Unified initializer
"""
assert method in ["blob", "massif"]
if method != self.method:
self.__getattribute__("init_" + method)(sync)
def sync_init(self):
if self._init_thread:
self._init_thread.join()
def init_massif(self, sync=True):
"""
Initialize PeakPicker for massif based detection
"""
if self.reconstruct:
if self.mask is None:
self.mask = self.data < 0
data = reconstruct(self.data, self.mask)
else:
data = self.data
self.massif = Massif(data)
self._init_thread = threading.Thread(target=self.massif.getLabeledMassif, name="massif_process")
self._init_thread.start()
self.method = "massif"
if sync:
self._init_thread.join()
def init_blob(self, sync=True):
"""
Initialize PeakPicker for blob based detection
"""
if self.mask is not None:
self.blob = BlobDetection(self.data, mask=self.mask)
else:
self.blob = BlobDetection(self.data, mask=(self.data < 0))
self.method = "blob"
self._init_thread = threading.Thread(target=self.blob.process, name="blob_process")
self._init_thread.start()
if sync:
self._init_thread.join()
def peaks_from_area(self, mask, Imin, keep=1000, refine=True, method=None, ring=None):
"""
Return the list of peaks within an area
@param mask: 2d array with mask.
@param Imin: minimum of intensity above the background to keep the point
@param keep: maximum number of points to keep
@param method: enforce the use of detection using "massif" or "blob"
@return: list of peaks [y,x], [y,x], ...]
"""
if not method:
method = self.method
else:
self.init(method, True)
obj = self.__getattribute__(method)
points = obj.peaks_from_area(mask, Imin=Imin, keep=keep, refine=refine)
if points:
gpt = self.points.append(points, ring)
if self.fig:
npl = numpy.array(points)
gpt.plot = self.ax.plot(npl[:, 1], npl[:, 0], "o", scalex=False, scaley=False)
pt0x = gpt.points[0][1]
pt0y = gpt.points[0][0]
gpt.annotate = self.ax.annotate(gpt.label, xy=(pt0x, pt0y), xytext=(pt0x + 10, pt0y + 10),
weight="bold", size="large", color="black",
arrowprops=dict(facecolor='white', edgecolor='white'))
update_fig(self.fig)
return points
def reset(self):
"""
Reset control point and graph (if needed)
"""
self.points.reset()
if self.fig and self.ax:
#empty annotate and plots
if len(self.ax.texts) > 0:
self.ax.texts = []
if len(self.ax.lines) > 0:
self.ax.lines = []
#Redraw the image
if not gui_utils.main_loop:
self.fig.show()
update_fig(self.fig)
def gui(self, log=False, maximize=False, pick=True):
"""
@param log: show z in log scale
"""
if self.fig is None:
self.fig = pylab.plt.figure()
# add 3 subplots at the same position for debye-sherrer image, contour-plot and massif contour
self.ax = self.fig.add_subplot(111)
self.ct = self.fig.add_subplot(111)
self.msp = self.fig.add_subplot(111)
toolbar = self.fig.canvas.toolbar
toolbar.addSeparator()
a = toolbar.addAction('Opts', self.on_option_clicked)
a.setToolTip('open options window')
if pick:
label = QtGui.QLabel("Ring #", toolbar)
toolbar.addWidget(label)
self.spinbox = QtGui.QSpinBox(toolbar)
self.spinbox.setMinimum(0)
self.sb_action = toolbar.addWidget(self.spinbox)
a = toolbar.addAction('Refine', self.on_refine_clicked)
a.setToolTip('switch to refinement mode')
self.ref_action = a
self.mpl_connectId = self.fig.canvas.mpl_connect('button_press_event', self.onclick)
if log:
showData = numpy.log1p(self.data - self.data.min())
self.ax.set_title('Log colour scale (skipping lowest/highest per mille)')
else:
showData = self.data
self.ax.set_title('Linear colour scale (skipping lowest/highest per mille)')
# skip lowest and highest per mille of image values via vmin/vmax
showMin = percentile(showData, .1)
showMax = percentile(showData, 99.9)
im = self.ax.imshow(showData, vmin=showMin, vmax=showMax, origin="lower", interpolation="nearest")
self.ax.autoscale_view(False, False, False)
self.fig.colorbar(im)#, self.ax)
update_fig(self.fig)
if maximize:
maximize_fig(self.fig)
if not gui_utils.main_loop:
self.fig.show()
def load(self, filename):
"""
load a filename and plot data on the screen (if GUI)
"""
self.points.load(filename)
self.display_points()
def display_points(self, minIndex=0):
"""
display all points and their ring annotations
@param minIndex: ring index to start with
"""
if self.ax is not None:
for lbl, gpt in self.points._groups.items():
idx = gpt.ring
if idx < minIndex:
continue
if len(gpt) > 0:
pt0x = gpt.points[0][1]
pt0y = gpt.points[0][0]
gpt.annotate = self.ax.annotate(gpt.label, xy=(pt0x, pt0y), xytext=(pt0x + 10, pt0y + 10),
weight="bold", size="large", color="black",
arrowprops=dict(facecolor='white', edgecolor='white'))
npl = numpy.array(gpt.points)
gpt.plot = self.ax.plot(npl[:, 1], npl[:, 0], "o", scalex=False, scaley=False)
def onclick(self, event):
"""
Called when a mouse is clicked
"""
def annontate(x, x0=None, idx=None, gpt=None):
"""
Call back method to annotate the figure while calculation are going on ...
@param x: coordinates
@param x0: coordinates of the starting point
@param gpt: group of point, instance of PointGroup
TODO
"""
if x0 is None:
annot = self.ax.annotate(".", xy=(x[1], x[0]), weight="bold", size="large", color="black")
else:
if gpt:
annot = self.ax.annotate(gpt.label, xy=(x[1], x[0]), xytext=(x0[1], x0[0]),
weight="bold", size="large", color="black",
arrowprops=dict(facecolor='white', edgecolor='white'),)
gpt.annotate = annot
else:
annot = self.ax.annotate("%i" % (len(self.points)), xy=(x[1], x[0]), xytext=(x0[1], x0[0]),
weight="bold", size="large", color="black",
arrowprops=dict(facecolor='white', edgecolor='white'),)
update_fig(self.fig)
return annot
def common_creation(points, gpt=None):
"""
plot new set of points
@param points: list of points
@param gpt: : group of point, instance of PointGroup
"""
if points:
if not gpt:
gpt = self.points.append(points, ring=self.spinbox.value())
npl = numpy.array(points)
gpt.plot = self.ax.plot(npl[:, 1], npl[:, 0], "o", scalex=False, scaley=False)
update_fig(self.fig)
sys.stdout.flush()
return gpt
def new_grp(event):
" * Right-click (click+n): try an auto find for a ring"
points = self.massif.find_peaks([event.ydata, event.xdata],
self.defaultNbPoints,
None, self.massif_contour)
if points:
gpt = common_creation(points)
annontate(points[0], [event.ydata, event.xdata], gpt=gpt)
logger.info("Created group #%2s with %i points" % (gpt.label, len(gpt)))
else:
logger.warning("No peak found !!!")
def single_point(event):
" * Right-click + Ctrl (click+b): create new group with one single point"
newpeak = self.massif.nearest_peak([event.ydata, event.xdata])
if newpeak:
gpt = common_creation([newpeak])
annontate(newpeak, [event.ydata, event.xdata], gpt=gpt)
logger.info("Create group #%2s with single point x=%5.1f, y=%5.1f" % (gpt.label, newpeak[1], newpeak[0]))
else:
logger.warning("No peak found !!!")
def append_more_points(event):
" * Right-click + m (click+m): find more points for current group"
gpt = self.points.get(self.spinbox.value())
if not gpt:
new_grp(event)
return
if gpt.plot:
if gpt.plot[0] in self.ax.lines:
self.ax.lines.remove(gpt.plot[0])
update_fig(self.fig)
# need to annotate only if a new group:
listpeak = self.massif.find_peaks([event.ydata, event.xdata],
self.defaultNbPoints, None,
self.massif_contour)
if listpeak:
gpt.points += listpeak
logger.info("Added %i points to group #%2s (now %i points)" % (len(listpeak), len(gpt.label), len(gpt)))
else:
logger.warning("No peak found !!!")
common_creation(gpt.points, gpt)
def append_1_point(event):
" * Right-click + Shift (click+v): add one point to current group"
gpt = self.points.get(self.spinbox.value())
if not gpt:
new_grp(event)
return
if gpt.plot:
if gpt.plot[0] in self.ax.lines:
self.ax.lines.remove(gpt.plot[0])
update_fig(self.fig)
newpeak = self.massif.nearest_peak([event.ydata, event.xdata])
if newpeak:
gpt.points.append(newpeak)
logger.info("x=%5.1f, y=%5.1f added to group #%2s" % (newpeak[1], newpeak[0], gpt.label))
else:
logger.warning("No peak found !!!")
common_creation(gpt.points, gpt)
def erase_grp(event):
" * Center-click or (click+d): erase current group"
ring = self.spinbox.value()
gpt = self.points.pop(ring)
if not gpt:
logger.warning("No group of points for ring %s" % ring)
return
# print("Remove group from ring %s label %s" % (ring, gpt.label))
if gpt.annotate:
if gpt.annotate in self.ax.texts:
self.ax.texts.remove(gpt.annotate)
if gpt.plot:
if gpt.plot[0] in self.ax.lines:
self.ax.lines.remove(gpt.plot[0])
if len(gpt) > 0:
logger.info("Removing group #%2s containing %i points" % (gpt.label, len(gpt)))
else:
logger.info("No groups to remove")
update_fig(self.fig)
sys.stdout.flush()
def erase_1_point(event):
" * Center-click + 1 or (click+1): erase closest point from current group"
ring = self.spinbox.value()
gpt = self.points.get(ring)
if not gpt:
logger.warning("No group of points for ring %s" % ring)
return
# print("Remove 1 point from group from ring %s label %s" % (ring, gpt.label))
if gpt.annotate:
if gpt.annotate in self.ax.texts:
self.ax.texts.remove(gpt.annotate)
if gpt.plot:
if gpt.plot[0] in self.ax.lines:
self.ax.lines.remove(gpt.plot[0])
if len(gpt) > 1:
# delete single closest point from current group
x0 = event.xdata
y0 = event.ydata
distsq = [((p[1] - x0) ** 2 + (p[0] - y0) ** 2) for p in gpt.points]
# index and distance of smallest distance:
indexMin = min(enumerate(distsq), key=operator.itemgetter(1))
removedPt = gpt.points.pop(indexMin[0])
logger.info("x=%5.1f, y=%5.1f removed from group #%2s (%i points left)" % (removedPt[1], removedPt[0], gpt.label, len(gpt)))
# annotate (new?) 1st point and add remaining points back
pt = (gpt.points[0][0], gpt.points[0][1])
gpt.annotate = annontate(pt, (pt[0] + 10, pt[1] + 10))
npl = numpy.array(gpt.points)
gpt.plot = self.ax.plot(npl[:, 1], npl[:, 0], "o", scalex=False, scaley=False)
elif len(gpt) == 1:
logger.info("Removing group #%2s containing 1 point" % (gpt.label))
gpt = self.points.pop(ring)
else:
logger.info("No groups to remove")
update_fig(self.fig)
sys.stdout.flush()
with self._sem:
logger.debug("Button: %i, Key modifier: %s" % (event.button, event.key))
if ((event.button == 3) and (event.key == 'shift')) or \
((event.button == 1) and (event.key == 'v')):
# if 'shift' pressed add nearest maximum to the current group
append_1_point(event)
elif ((event.button == 3) and (event.key == 'control')) or\
((event.button == 1) and (event.key == 'b')):
# if 'control' pressed add nearest maximum to a new group
single_point(event)
elif (event.button in [1, 3]) and (event.key == 'm'):
append_more_points(event)
elif (event.button == 3) or ((event.button == 1) and (event.key == 'n')):
# create new group
new_grp(event)
elif (event.key == "1") and (event.button in [1, 2]):
erase_1_point(event)
elif (event.button == 2) or (event.button == 1 and event.key == "d"):
erase_grp(event)
else:
logger.info("Unknown combination: Button: %i, Key modifier: %s" % (event.button, event.key))
def finish(self, filename=None, callback=None):
"""
Ask the ring number for the given points
@param filename: file with the point coordinates saved
"""
logging.info(os.linesep.join(self.help))
if not callback:
raw_input("Please press enter when you are happy with your selection" + os.linesep)
# need to disconnect 'button_press_event':
self.fig.canvas.mpl_disconnect(self.mpl_connectId)
self.mpl_connectId = None
print("Now fill in the ring number. Ring number starts at 0, like point-groups.")
self.points.readRingNrFromKeyboard()
if filename is not None:
self.points.save(filename)
return self.points.getWeightedList(self.data)
else:
self.point_filename = filename
self.callback = callback
gui_utils.main_loop = True
#MAIN LOOP
pylab.show()
def contour(self, data):
"""
Overlay a contour-plot
@param data: 2darray with the 2theta values in radians...
"""
if self.fig is None:
logging.warning("No diffraction image available => not showing the contour")
else:
while len(self.msp.images) > 1:
self.msp.images.pop()
while len(self.ct.images) > 1:
self.ct.images.pop()
while len(self.ct.collections) > 0:
self.ct.collections.pop()
if self.points.calibrant:
angles = [ i for i in self.points.calibrant.get_2th()
if i is not None]
else:
angles = None
try:
xlim, ylim = self.ax.get_xlim(), self.ax.get_ylim()
self.ct.contour(data, levels=angles)
self.ax.set_xlim(xlim);self.ax.set_ylim(ylim);
print("Visually check that the curve overlays with the Debye-Sherrer rings of the image")
print("Check also for correct indexing of rings")
except MemoryError:
logging.error("Sorry but your computer does NOT have enough memory to display the 2-theta contour plot")
update_fig(self.fig)
def massif_contour(self, data):
"""
Overlays a mask over a diffraction image
@param data: mask to be overlaid
"""
if self.fig is None:
logging.error("No diffraction image available => not showing the contour")
else:
tmp = 100 * numpy.logical_not(data)
mask = numpy.zeros((data.shape[0], data.shape[1], 4), dtype="uint8")
mask[:, :, 0] = tmp
mask[:, :, 1] = tmp
mask[:, :, 2] = tmp
mask[:, :, 3] = tmp
while len(self.msp.images) > 1:
self.msp.images.pop()
try:
xlim, ylim = self.ax.get_xlim(), self.ax.get_ylim()
self.msp.imshow(mask, cmap="gray", origin="lower", interpolation="nearest")
self.ax.set_xlim(xlim);self.ax.set_ylim(ylim);
except MemoryError:
logging.error("Sorry but your computer does NOT have enough memory to display the massif plot")
update_fig(self.fig)
def closeGUI(self):
if self.fig is not None:
self.fig.clear()
self.fig = None
gc.collect()
def on_plus_pts_clicked(self, *args):
"""
callback function
"""
self.append_mode = True
print(self.append_mode)
def on_minus_pts_clicked(self, *args):
"""
callback function
"""
self.append_mode = False
print(self.append_mode)
def on_option_clicked(self, *args):
"""
callback function
"""
print("Option!")
def on_refine_clicked(self, *args):
"""
callback function
"""
print("refine, now!")
self.sb_action.setDisabled(True)
self.ref_action.setDisabled(True)
self.spinbox.setEnabled(False)
self.mpl_connectId = None
self.fig.canvas.mpl_disconnect(self.mpl_connectId)
pylab.ion()
if self.point_filename:
self.points.save(self.point_filename)
if self.callback:
self.callback(self.points.getWeightedList(self.data))
################################################################################
# ControlPoints
################################################################################
class ControlPoints(object):
"""
This class contains a set of control points with (optionally) their ring number hence d-spacing and diffraction 2Theta angle ...
"""
def __init__(self, filename=None, calibrant=None, wavelength=None):
self._sem = threading.Semaphore()
self._groups = {}
self.calibrant = Calibrant(wavelength=wavelength)
if filename is not None:
self.load(filename)
have_spacing = False
for i in self.dSpacing :
have_spacing = have_spacing or i
if (not have_spacing) and (calibrant is not None):
if isinstance(calibrant, Calibrant):
self.calibrant = calibrant
elif type(calibrant) in types.StringTypes:
if calibrant in ALL_CALIBRANTS:
self.calibrant = ALL_CALIBRANTS[calibrant]
elif os.path.isfile(calibrant):
self.calibrant = Calibrant(calibrant)
else:
logger.error("Unable to handle such calibrant: %s" % calibrant)
elif isinstance(self.dSpacing, (numpy.ndarray, list, tuple, array)):
self.calibrant = Calibrant(dSpacing=list(calibrant))
else:
logger.error("Unable to handle such calibrant: %s" % calibrant)
if not self.calibrant.wavelength:
self.calibrant.set_wavelength(wavelength)
def __repr__(self):
self.check()
lstOut = ["ControlPoints instance containing %i group of point:" % len(self)]
if self.calibrant:
lstOut.append(self.calibrant.__repr__())
labels = self._groups.keys()
labels.sort(PointGroup.cmp)
lstOut.append("Containing %s groups of points:" % len(labels))
for lbl in labels:
lstOut.append(str(self._groups[lbl]))
return os.linesep.join(lstOut)
def __len__(self):
return len(self._groups)
def check(self):
"""
check internal consistency of the class
"""
pass
def reset(self):
"""
remove all stored values and resets them to default
"""
with self._sem:
self._groups = {}
PointGroup.reset_label()
def append(self, points, ring=None, annotate=None, plot=None):
"""
@param point: list of points
@param ring: ring number
@param annotate: matplotlib.annotate reference
@param plot: matplotlib.plot reference
@return: PointGroup instance
"""
with self._sem:
gpt = PointGroup(points, ring, annotate, plot)
self._groups[gpt.label] = gpt
return gpt
def append_2theta_deg(self, points, angle=None, ring=None):
"""
@param point: list of points
@param angle: 2-theta angle in degrees
"""
if angle:
self.append(points, numpy.deg2rad(angle), ring)
else:
self.append(points, None, ring)
def get(self, ring=None):
"""
retireves the last set of points for a given ring (by default the last)
@param ring: index of ring to search for
"""
out = None
with self._sem:
if (ring is None):
lst = self._groups.keys()
lst.sort(PointGroup.cmp)
if not lst:
logger.warning("No group in ControlPoints.get")
return
lbl = lst[-1]
else:
lst = [l for l, gpt in self._groups.items() if gpt.ring == ring]
lst.sort(PointGroup.cmp)
if not lst:
logger.warning("No group for ring %s in ControlPoints.get" % (ring))
return
lbl = lst[-1]
if lbl in self._groups:
out = self._groups.get(lbl)
else:
logger.warning("No such group %s in ControlPoints.pop" % (lbl))
return out
def pop(self, ring=None):
"""
Remove the set of points for a given ring (by default the last)
@param ring: index of ring of which remove the last group
"""
out = None
with self._sem:
if (ring is None):
lst = self._groups.keys()
lst.sort(PointGroup.cmp)
if not lst:
logger.warning("No group in ControlPoints.pop")
return
lbl = lst[-1]
else:
lst = [l for l, gpt in self._groups.items() if gpt.ring == ring]
lst.sort(PointGroup.cmp)
if not lst:
logger.warning("No group for ring %s in ControlPoints.pop" % (ring))
return
lbl = lst[-1]
if lbl in self._groups:
out = self._groups.pop(lbl)
else:
logger.warning("No such group %s in ControlPoints.pop" % (lbl))
return out
def save(self, filename):
"""
Save a set of control points to a file
@param filename: name of the file
@return: None
"""
self.check()
with self._sem:
lstOut = ["# set of control point used by pyFAI to calibrate the geometry of a scattering experiment",
"#angles are in radians, wavelength in meter and positions in pixels"]
if self.calibrant:
lstOut.append("calibrant: %s"%self.calibrant)
if self.calibrant.wavelength is not None:
lstOut.append("wavelength: %s" % self.calibrant.wavelength)
lstOut.append("dspacing:" + " ".join([str(i) for i in self.calibrant.dSpacing]))
lst = self._groups.keys()
lst.sort(PointGroup.cmp)
tth = self.calibrant.get_2th()
for idx, lbl in enumerate(lst):
gpt = self._groups[lbl]
ring = gpt.ring
lstOut.append("")
lstOut.append("New group of points: %i" % idx)
if ring < len(tth):
lstOut.append("2theta: %s" % tth[ring])
lstOut.append("ring: %s" % ring)
for point in gpt.points:
lstOut.append("point: x=%s y=%s" % (point[1], point[0]))
with open(filename, "w") as f:
f.write("\n".join(lstOut))
def load(self, filename):
"""
load all control points from a file
"""
if not os.path.isfile(filename):
logger.error("ControlPoint.load: No such file %s", filename)
return
self.reset()
ring = None
points = []
calibrant = None
wavelength = None
dspacing = []
for line in open(filename, "r"):
if line.startswith("#"):
continue
elif ":" in line:
key, value = line.split(":", 1)
value = value.strip()
key = key.strip().lower()
if key == "calibrant":
words = value.split()
if words[0] in ALL_CALIBRANTS:
calibrant = ALL_CALIBRANTS[words[0]]
try:
wavelength = float(words[-1])
calibrant.set_wavelength(wavelength)
except Exception as error:
logger.error("ControlPoints.load: unable to convert to float %s (wavelength): %s", value, error)
elif key == "wavelength":
try:
wavelength=float(value)
except Exception as error:
logger.error("ControlPoints.load: unable to convert to float %s (wavelength): %s", value, error)
elif key == "dspacing":
for val in value.split():
try:
fval = float(val)
except Exception:
fval = None
dspacing.append(fval)
elif key == "ring":
if value.lower() == "none":
ring = None
else:
try:
ring = int(value)
except Exception as error:
logger.error("ControlPoints.load: unable to convert to int %s (ring): %s", value, error)
elif key == "point":
vx = None
vy = None
if "x=" in value:
vx = value[value.index("x=") + 2:].split()[0]
if "y=" in value:
vy = value[value.index("y=") + 2:].split()[0]
if (vx is not None) and (vy is not None):
try:
x = float(vx)
y = float(vy)
except Exception as error:
logger.error("ControlPoints.load: unable to convert to float %s (point)", value, error)
else:
points.append([y, x])
elif key.startswith("new"):
if len(points) > 0:
with self._sem:
gpt = PointGroup(points, ring)
self._groups[gpt.label] = gpt
points = []
ring = None
elif key in ["2theta"]:
# Deprecated keys
pass
else:
logger.error("Unknown key: %s", key)
if len(points) > 0:
with self._sem:
gpt = PointGroup(points, ring)
self._groups[gpt.label] = gpt
# Update calibrant if needed.
if not calibrant and dspacing:
calibrant = Calibrant()
calibrant.dSpacing = dspacing
if calibrant and calibrant.wavelength is None and wavelength:
calibrant.wavelength = wavelength
if calibrant:
self.calibrant = calibrant
def getList2theta(self):
"""
Retrieve the list of control points suitable for geometry refinement
"""
lstOut = []
tth = self.calibrant.get_2th()
for gpt in self._groups:
if gpt.ring < len(tth):
tthi = tth[gpt.ring]
lstOut += [[pt[0], pt[1], tthi] for pt in gpt.points]
return lstOut
def getListRing(self):
"""
Retrieve the list of control points suitable for geometry refinement with ring number
"""
lstOut = []
for gpt in self._groups.values():
lstOut += [[pt[0], pt[1], gpt.ring] for pt in gpt.points]
return lstOut
getList = getListRing
def getWeightedList(self, image):
"""
Retrieve the list of control points suitable for geometry refinement with ring number and intensities
@param image:
@return: a (x,4) array with pos0, pos1, ring nr and intensity
#TODO: refine the value of the intensity using 2nd order polynomia
"""
lstOut = []
for gpt in self._groups.values():
lstOut += [[pt[0], pt[1], gpt.ring, image[int(pt[0] + 0.5), int(pt[1] + 0.5)]] for pt in gpt.points]
return lstOut
def readRingNrFromKeyboard(self):
"""
Ask the ring number values for the given points
"""
lastRing = None
lst = self._groups.keys()
lst.sort(PointGroup.cmp)
for idx, lbl in enumerate(lst):
bOk = False
gpt = self._groups[lbl]
while not bOk:
defaultRing = 0
ring = gpt.ring
if ring is not None:
defaultRing = ring
elif lastRing is not None:
defaultRing = lastRing + 1
res = raw_input("Point group #%2s (%i points)\t (%6.1f,%6.1f) \t [default=%s] Ring# " % (lbl, len(gpt), gpt.points[0][1], gpt.points[0][0], defaultRing)).strip()
if res == "":
res = defaultRing
try:
inputRing = int(res)
except (ValueError, TypeError):
logging.error("I did not understand the ring number you entered")
else:
if inputRing >= 0 and inputRing < len(self.calibrant.dSpacing):
lastRing = ring
gpt.ring = inputRing
bOk = True
else:
logging.error("Invalid ring number %i (range 0 -> %2i)" % (inputRing, len(self.calibrant.dSpacing) - 1))
def setWavelength_change2th(self, value=None):
with self._sem:
if self.calibrant is None:
self.calibrant = Calibrant()
self.calibrant.setWavelength_change2th(value)
def setWavelength_changeDs(self, value=None):
"""
This is probably not a good idea, but who knows !
"""
with self._sem:
if value :
if self.calibrant is None:
self.calibrant = Calibrant()
self.calibrant.setWavelength_changeDs(value)
def set_wavelength(self, value=None):
with self._sem:
if value:
self.calibrant.set_wavelength(value)
def get_wavelength(self):
return self.calibrant._wavelength
wavelength = property(get_wavelength, set_wavelength)
def get_dSpacing(self):
if self.calibrant:
return self.calibrant.dSpacing
else:
return []
def set_dSpacing(self, lst):
if not self.calibrant:
self.calibrant = Calibrant()
self.calibrant.dSpacing = lst
dSpacing = property(get_dSpacing, set_dSpacing)
class PointGroup(object):
"""
Class contains a group of points ...
They all belong to the same Debye-Scherrer ring
"""
last_label = 0
@classmethod
def get_label(cls):
"""
return the next label
"""
code = cls.last_label
cls.last_label += 1
if code < 26:
label = chr(97 + code)
else:
label = chr(96 + code // 26) + chr(97 + code % 26)
return label
@classmethod
def set_label(cls, label):
"""
update the internal counter if needed
"""
if len(label) == 1:
code = ord(label) - 97
else:
code = (ord(label[0]) - 96) * 26 + (ord(label[1]) - 97)
if cls.last_label <= code:
cls.last_label = code + 1
@classmethod
def reset_label(cls):
"""
reset intenal counter
"""
cls.last_label = 0
@staticmethod
def cmp(a,b):
"""
Comparison for 2 PointGroup labels
"""
if len(a) < len(b):
return -1
elif len(a) > len(b):
return 1
elif a < b:
return -1
elif a > b:
return 1
return 0
def __init__(self, points=None, ring=None, annotate=None, plot=None, force_label=None):
"""
Constructor
@param points: list of points
@param ring: ring number
@param annotate: reference to the matplotlib annotate output
@param plot: reference to the matplotlib plot
@param force_label: allows to enforce the label
"""
if points:
self.points = points
else:
self.points = []
if force_label:
self.label = force_label
self.set_label(force_label)
else:
self.label = self.get_label()
if ring is not None:
self._ring = int(ring)
else:
self._ring = None
#placeholder of matplotlib references...
self.annotate = annotate
self.plot = plot
def __len__(self):
return len(self.points)
def __repr__(self):
return "#%2s ring %s: %s points" % (self.label, self.ring, len(self.points))
def get_ring(self):
return self._ring
def set_ring(self, value):
if type(value) != int:
logger.error("Ring: %s" % value)
import traceback
traceback.print_stack()
self._ring = int(value)
self._ring = value
ring = property(get_ring, set_ring)
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