def run(self):
try:
filepath = self.makeFilePath()
if os.path.exists(filepath):
return
x, y, k = self.coords
width, height, n_layers = self.dimensions
# Cube's field of view in XY
fov = Rectangle(x, y, width, height)
# Join the bounds of the layers
r = None
for b in self.bounds[k:min(k + n_layers, len(bounds))]:
if r is None:
r = Rectangle(b.x, b.y, b.width, b.height)
else:
r.add(b)
if not fov.intersects(r):
# Would be empty
return
drawImage = Graphics2D.getDeclaredMethod(
"drawImage", [Image, AffineTransform, ImageObserver])
drawImage.setAccessible(True)
dispose = Graphics.getDeclaredMethod("dispose", [])
dispose.setAccessible(True)
# Populate and write cube
stack = ImageStack(width, height)
for layer in self.layers[k:min(k + n_layers, len(self.layers))]:
img = layer.getProject().getLoader().getFlatAWTImage(
layer, fov, 1.0, -1, ImagePlus.GRAY8, Patch, None, False,
Color.black)
bi = BufferedImage(img.getWidth(None), img.getHeight(None),
BufferedImage.TYPE_BYTE_GRAY)
g = bi.createGraphics()
aff = AffineTransform(1, 0, 0, 1, 0, 0)
#g.drawImage(img, aff, None) # Necessary to bypass issues that result in only using 7-bits and with the ByteProcessor constructor
drawImage.invoke(g, [img, aff, None])
#g.dispose()
dispose.invoke(g, [])
g = None
img = None
stack.addSlice("", ByteProcessor(bi))
bi.flush()
bi = None
imp = ImagePlus("x=%s y=%s k=%s" % (x, y, k), stack)
Utils.ensure(filepath)
FileSaver(imp).saveAsZip(filepath)
imp.flush()
imp = None
except:
e = sys.exc_info()
System.out.println("Error:" + str(e[0]) + "\n" + str(e[1]) + "\n" +
str(e[2]))
System.out.println(traceback.format_exception(e[0], e[1], e[2]))
def showImgWithFullWindow(width=None, height=None):
""" This function shows the image from current IDV window while in GUI mode. optional arguments are width and height in pixels, they
currently default to 600 and 400"""
from java.util import Base64 ##only in java8
from javax.imageio import ImageIO
from java.io import ByteArrayOutputStream
from ucar.unidata.ui.ImageUtils import resize, toBufferedImage
import java
import java.awt.Robot as Robot
import java.awt.Rectangle as Rectangle
import java.awt.Toolkit as Toolkit
from ucar.unidata.util import Misc
VM = idv.getViewManager()
myframe = VM.getDisplayWindow().getComponent()
robotx = Robot(myframe.getGraphicsConfiguration().getDevice())
VM.toFront()
#robotx.delay(250)
Misc.sleep(350)
pause()
img = robotx.createScreenCapture(
Rectangle(myframe.getX(), myframe.getY(), myframe.getWidth(),
myframe.getHeight()))
if width != None and height != None:
img = toBufferedImage(resize(img, width, height))
bos = ByteArrayOutputStream()
ImageIO.write(img, "png",
Base64.getEncoder().wrap(bos))
data = bos.toString("UTF-8")
return {"display": "image", "data": data}
def showImgWithLegend(width=None, height=None):
""" This function shows the image and legend from current IDV window while in GUI mode. Optional arguments are width and height in pixels, they currently default to 600 and 400"""
from java.util import Base64 ##only in java8
from javax.imageio import ImageIO
from java.io import ByteArrayOutputStream
from ucar.unidata.ui.ImageUtils import resize, toBufferedImage
import java
import java.awt.Robot as Robot
import java.awt.Rectangle as Rectangle
import java.awt.Toolkit as Toolkit
from ucar.unidata.util import Misc
VM = idv.getViewManager()
VMC = VM.getContents()
VMCC = VMC.getComponent(
1
) # the view and legend ; 0 is left most part of view window with controls for perspective views
siz = VMCC.getSize()
loc = VMCC.getLocationOnScreen()
gc = VMCC.getGraphicsConfiguration()
loc.x -= gc.getBounds().x
loc.y -= gc.getBounds().y
robotx = Robot(gc.getDevice())
VM.toFront()
Misc.sleep(250)
img = robotx.createScreenCapture(
Rectangle(loc.x, loc.y, siz.width, siz.height))
if width != None and height != None:
img = toBufferedImage(resize(img, width, height))
bos = ByteArrayOutputStream()
ImageIO.write(img, "png",
Base64.getEncoder().wrap(bos))
data = bos.toString("UTF-8")
return {"display": "image", "data": data}
def isEmpty(self):
# Check if the cube would have any data
x, y, k = self.coords
width, height, n_layers = self.dimensions
# Cube's field of view in XY
fov = Rectangle(x, y, width, height)
# Join the bounds of the layers
r = None
for b in self.bounds[k:min(k + n_layers, len(bounds))]:
if r is None and b is not None: # can be none when the Layer is empty
r = Rectangle(b.x, b.y, b.width, b.height)
elif b is not None:
r.add(b)
# Return True if not intersecting
return r is None or not fov.intersects(r)
def run(title):
gd = ij.gui.GenericDialog('Record Desktop')
gd.addNumericField('Max. frames:', 50, 0)
gd.addNumericField('Milisecond interval:', 300, 0)
gd.addSlider('Start in (seconds):', 0, 20, 5)
gd.showDialog()
if gd.wasCanceled():
return
n_frames = int(gd.getNextNumber())
interval = gd.getNextNumber() / 1000.0 # in seconds
delay = int(gd.getNextNumber())
snaps = []
try:
while delay > 0:
ij.IJ.showStatus('Starting in ' + str(delay) + 's.')
time.sleep(1) # one second
delay -= 1
ij.IJ.showStatus('')
ij.IJ.showStatus("Starting...")
out.println("Starting...")
# start capturing
robot = Robot()
box = Rectangle(ij.IJ.getScreenSize())
start = currentTimeMillis() / 1000.0 # in seconds
last = start
intervals = []
real_interval = 0
# Initial shot
snaps.append(robot.createScreenCapture(box))
while len(snaps) < n_frames and last - start < n_frames * interval:
now = currentTimeMillis() / 1000.0 # in seconds
real_interval = now - last
if real_interval >= interval:
last = now
snaps.append(robot.createScreenCapture(box))
intervals.append(real_interval)
else:
time.sleep(interval / 5) # time in seconds
# Create stack
out.println("End")
awt = snaps[0]
stack = ij.ImageStack(awt.getWidth(None), awt.getHeight(None), None)
t = 0
for snap, real_interval in zip(snaps, intervals):
stack.addSlice(str(ij.IJ.d2s(t, 3)),
ij.ImagePlus('', snap).getProcessor())
snap.flush()
t += real_interval
ImagePlus("Desktop recording", stack).show()
except Exception, e:
print "Some error ocurred:"
print e
for snap in snaps:
snap.flush()
def getViewFromImp(imp, r=None):
# r is a java.awt.rectangle
im = IL.wrapByte(imp)
if r is None:
r = Rectangle(0, 0, imp.getWidth(), imp.getHeight())
v = Views.zeroMin(
Views.interval(im, [r.x, r.y],
[r.x + r.width - 1, r.y + r.height - 1]))
return v
def generate_image(width, height):
renderer = StaticRenderer()
renderer.setTree(GVTBuilder().build(context, document))
transform = AffineTransform()
transform.translate(-svg_x, -svg_y)
transform.scale(width / svg_width, height / svg_height)
renderer.setTransform(transform)
renderer.updateOffScreen(width, height)
renderer.repaint(Rectangle(0, 0, width, height))
return renderer.getOffScreen()
def fixAreatreeArea(areatree):
# Append a 1-pixel square area for nodes without any area
# this will fix using findZDisplayables for finding areatree,
# including connector.getTargets(), connector.getOrigins() etc.
if not isinstance(areatree, AreaTree):
print "Error: input must be an AreaTree"
return
root = areatree.getRoot()
if root is None:
return
for nd in root.getSubtreeNodes():
a = nd.getArea()
a.add(Area(Rectangle(int(nd.getX()), int(nd.getY()), 1, 1)))
nd.setData(a)
def roiModified(self, imp, ID):
""" When the ROI of the active image changes, update the textfield values. """
if imp != IJ.getImage():
return # ignore if it's not the active image
roi = imp.getRoi()
if not roi or Roi.RECTANGLE != roi.getType():
return # none, or not a rectangle ROI
bounds = roi.getBounds()
if 0 == roi.getBounds().width + roi.getBounds().height:
bounds = Rectangle(0, 0, imp.getWidth(), imp.getHeight())
self.textfields[0].setText(str(bounds.x))
self.textfields[1].setText(str(bounds.y))
self.textfields[2].setText(str(bounds.width))
self.textfields[3].setText(str(bounds.height))
def checkColor(self, SCREEN):
print" checkColor !!"
i = Robot().createScreenCapture(Rectangle(SCREEN.getX(),
SCREEN.getY(), self.patternW, self.patternH))
bColor = Color(200, 4, 4)
pColor = Color(45, 48, 177)
print"self.patternW:"+self.patternW+ " self.patternH:"+self.patternH
for x in range(0, self.patternW):
for y in range(0, self.patternH):
print" color"
print i.getRGB(x, y)
if bColor == Color(i.getRGB(x, y)):
return "B"
if pColor == Color(i.getRGB(x, y)):
return "P"
def transformRefView(self, ref):
""" Transforms ref src_rect from physical units to pixels
Parameters
----------
ref : list
Rectangle (x, y, width, height) to display. x and y are coordinates of
upper-left corner of the Rectangle. ref is in physical units.
"""
x = int(self.calibration.getRawX(ref[0]))
y = int(self.calibration.getRawY(ref[1]))
width = int(self.calibration.getRawX(ref[2]))
height = int(self.calibration.getRawY(ref[3]))
return Rectangle(x, y, width, height)
def save_screenshot_to(self, path):
"""Saves a screenshot to the specified file.
The directory holding the file must exist or an exception is raised.
"""
path = os.path.abspath(path.replace('/', os.sep))
if not os.path.exists(os.path.dirname(path)):
raise RuntimeError(
"Directory '%s' where to save the screenshot does "
"not exist" % os.path.dirname(path))
screensize = Toolkit.getDefaultToolkit().getScreenSize()
rectangle = Rectangle(0, 0, screensize.width, screensize.height)
image = Robot().createScreenCapture(rectangle)
ImageIO.write(image, "jpg", File(path))
print "Screenshot saved to '%s'" % path
return path
def exportFlatRoi(project, scaleFactor, x, y, w, h, layer, saveName):
loader = project.getLoader()
rectangle = Rectangle(x-int(w/2),y-int(h/2),w,h)
patches = layer.find(Patch, x, y)
print patches
# IJ.log('patches' + str(patches))
for p, patch in enumerate(patches):
visible = patch.visible
patch.visible = True
tiles = ArrayList()
tiles.add(patch)
print 'tiles',tiles
print 'rectangle',rectangle
IJ.log('Patch ' + str(patch) + ' cropped with rectangle ' + str(rectangle) )
imp = loader.getFlatImage(layer, rectangle, scaleFactor, 0x7fffffff, ImagePlus.GRAY8, Patch, tiles, True, Color.black, None)
exportName = saveName + '_' + str(int(p)) + '.tif'
IJ.save(imp, exportName)
patch.visible = visible
def rigidAlignment(projectPath, params, name = '', boxFactor = 1):
# rigid alignment outside trakem2 with register virtual stack plugin because bug in trakem2
projectFolder = os.path.dirname(projectPath)
projectName = os.path.splitext(os.path.basename(projectPath))[0]
project, loader, layerset, nLayers = openTrakemProject(projectPath)
exportForRigidAlignmentFolder = mkdir_p(os.path.join(projectFolder, 'exportForRigidAlignment'))
resultRigidAlignmentFolder = mkdir_p(os.path.join(projectFolder, 'resultRigidAlignment'))
bb = layerset.get2DBounds()
roi = Rectangle(int(bb.width/2 * (1 - boxFactor)), int(bb.height/2 * (1 - boxFactor)), int(bb.width*boxFactor), int(bb.height*boxFactor))
boxPath = os.path.join(resultRigidAlignmentFolder, 'alignmentBox.txt')
writeRectangle(roi, boxPath)
exportFlat(project, exportForRigidAlignmentFolder, 1, baseName = 'exportForRigidAlignment', roi = roi)
referenceName = naturalSort(os.listdir(exportForRigidAlignmentFolder))[0]
use_shrinking_constraint = 0
IJ.log('Rigid alignment with register virtual stack')
Register_Virtual_Stack_MT.exec(exportForRigidAlignmentFolder, resultRigidAlignmentFolder, resultRigidAlignmentFolder, referenceName, params, use_shrinking_constraint)
time.sleep(2)
IJ.log('Warning: rigidAlignment closing all existing windows')
WindowManager.closeAllWindows() # problematic because it also closes the log window
# IJ.getImage().close()
for l, layer in enumerate(layerset.getLayers()):
imagePath = os.path.join(exportForRigidAlignmentFolder, 'exportForRigidAlignment_' + str(l).zfill(4) + '.tif')
transformPath = os.path.join(resultRigidAlignmentFolder, 'exportForRigidAlignment_' + str(l).zfill(4) + '.xml')
aff = getAffFromRVSTransformPath(transformPath)
for patch in layer.getDisplayables(Patch):
patch.setLocation(patch.getX()-roi.x, patch.getY()-roi.y) # compensate for the extracted bounding box
# patch.setLocation(roi.x, roi.y) # compensate for the extracted bounding box
currentAff = patch.getAffineTransform()
currentAff.preConcatenate(aff)
patch.setAffineTransform(currentAff)
resizeDisplay(layerset)
project.save()
closeProject(project)
IJ.log('All LM layers have been aligned in: ' + projectPath)
def __init__(self):
dataDir = Settings.dataDir + 'WorkingWithBarcodeRecognition/AdvancedBarcodeRecognitionFeatures/ReadBarcodeFromSpecificRegion/'
# Open the stream. Read only access is enough for Aspose.BarCode to load an image.
stream = FileInputStream(dataDir + "test.png")
# Create an instance of BarCodeReader class
# and specify an area to look for the barcode
barcode_reader_type = BarCodeReadType
reader = BarCodeReader(stream, Rectangle(0, 0, 10, 50),
barcode_reader_type.Code39Standard)
# TRead all barcodes in the provided area
while (reader.read()):
# Display the codetext and symbology type of the barcode found
print "Codetext: "
print reader.getCodeText()
print " Symbology: "
print reader.getReadType()
# Close reader
reader.close()
affineCroppedFolder = os.path.join(LMFolder,
'affineCropped_' + channel)
LMMosaicsPath = fc.cleanLinuxPath(
os.path.join(
LMFolder, 'exported_downscaled_1_' + channel,
'exported_downscaled_1_' + channel + '_' +
str(l).zfill(4) + '.tif'))
patch = Patch.createPatch(pZ, LMMosaicsPath)
layerZ.add(patch)
IJ.log('Setting the affineTransform ' + str(affTransform))
patch.setAffineTransform(affTransform)
patch.updateBucket()
bb = Rectangle(0, 0, widthEM, heightEM)
affineCroppedIm = loaderZ.getFlatImage(layerZ, bb, 1, 0x7fffffff,
ImagePlus.GRAY8, Patch,
layerZ.getAll(Patch), True,
Color.black, None)
affineCroppedImPath = os.path.join(
affineCroppedFolder,
'affineCropped_' + channel + '_' + str(l).zfill(4) + '.tif')
IJ.save(affineCroppedIm, affineCroppedImPath)
affineCroppedIm.close()
layerZ.remove(patch)
layerZ.recreateBuckets()
IJ.log('Has been written: ' + str(affineCroppedImPath))
fc.closeProject(pZ) # close dummy trakem
elem = l[:-1].split(" ")
fname = elem[0]
xloc = int(elem[1])
yloc = int(elem[2])
zloc = int(elem[3])
z_list.append(zloc)
imp = IJ.openImage(os.path.join(img_dir, fname))
patch = Patch(project, imp.title, xloc, yloc, imp)
patch.project.loader.addedPatchFrom(os.path.join(img_dir, fname),
patch)
layer = layerset.getLayer(zloc, 1, True)
layer.add(patch)
f.close()
front = Display.getFront()
bounds = Rectangle(x=0, y=0, width=20000, height=20000)
front.resizeCanvas(bounds)
z_list.sort()
if z_list[0] != 0:
layer = layerset.getLayer(0, 1, False)
layer.remove(False)
# Save project
project.saveAs(os.path.join(proj_dir, "montage_v1.xml"), False)
front.close(project)
def _java_screenshot(self, path):
size = Toolkit.getDefaultToolkit().getScreenSize()
rectangle = Rectangle(0, 0, size.width, size.height)
image = Robot().createScreenCapture(rectangle)
ImageIO.write(image, 'jpg', File(path))
layerset = areatree.getLayerSet()
calibration = layerset.getCalibration()
affine = areatree.getAffineTransform()
# outAndInArray = areatree.findConnectors()
for nd in root.getSubtreeNodes():
# get node coordinates, from tut on web
fp = array([nd.getX(), nd.getY()], 'f')
affine.transform(fp, 0, fp, 0, 1)
x = fp[0] * calibration.pixelWidth
y = fp[1] * calibration.pixelHeight
z = nd.getLayer().getZ(
) * calibration.pixelWidth # a TrakEM2 oddity
# get node connections, in/out synapse number, synapse id
# NOTE: this method seems to be affected by display zoom value
area = Area(Rectangle(int(fp[0]), int(fp[1]), 1, 1))
# area.transform(affine)
inAndOuts = layerset.findZDisplayables(Connector, nd.getLayer(),
area, False, False)
outgoing = []
incoming = []
for connector in inAndOuts:
if connector is None:
break
if connector.intersectsOrigin(area, nd.getLayer()):
outgoing.append(connector)
else:
incoming.append(connector)
nInputs = len(incoming)
nOutputs = len(outgoing)
outgoingIds = [oc.getId() for oc in outgoing]
from java.util.concurrent import Executors
from java.lang import Runtime
from java.awt import Rectangle
from net.imglib2.img.display.imagej import ImageJFunctions as IL
from ij import IJ
# Open Nile Bend sample image
imp = IJ.getImage()
#imp = IJ.openImage("https://imagej.nih.gov/ij/images/NileBend.jpg")
img = IL.wrapRGBA(imp)
# Extract red channel: alpha:0, red:1, green:2, blue:3
red = Converters.argbChannel(img, 1)
# Cut out two overlapping ROIs
r1 = Rectangle(1708, 680, 1792, 1760)
r2 = Rectangle(520, 248, 1660, 1652)
cut1 = Views.zeroMin(
Views.interval(red, [r1.x, r1.y],
[r1.x + r1.width - 1, r1.y + r1.height - 1]))
cut2 = Views.zeroMin(
Views.interval(red, [r2.x, r2.y],
[r2.x + r2.width - 1, r2.y + r2.height - 1]))
# Thread pool
exe = Executors.newFixedThreadPool(Runtime.getRuntime().availableProcessors())
try:
# PCM: phase correlation matrix
pcm = PhaseCorrelation2.calculatePCM(cut1, cut2,
ArrayImgFactory(FloatType()),
def getDefaultFrameBounds(self):
return Rectangle(50, 50, 300, 600)
def run(self):
global filepath
gl.log("running MagicDrawAnimator2")
mode = 0
if mode == 0:
#filepath = "c:\\Users\\bclement\\git\\bae\\simulationSnapshot.Scenario_medium_2012.txt"
#filepath = "c:\\Users\\bclement\\Desktop\\large6.txt"
#filepath = "c:\\Users\\bclement\\Desktop\\foo12.txt"
#filepath = "/Users/mjackson/Desktop/testSim.txt"
gl.log("default filepath = %s" % filepath)
filepath = JOptionPane.showInputDialog(None,
"Select File to Animate",
"Select File",
JOptionPane.PLAIN_MESSAGE,
None, None, filepath)
gl.log("reading events from " + filepath)
self.events = []
try:
f = open(filepath, "r")
except:
gl.log("can't find file @ %s" % filepath)
return
lastTime = float(0.0)
latestTime = float(-1.0e20)
earliestTime = float(1.0e20)
gl.log(
"MagicDrawAnimator2: before simulation, loading events from " +
str(filepath))
print(
"MagicDrawAnimator2: before simulation, loading events from " +
str(filepath))
for line in f.readlines():
gl.log("read line = " + line)
x = re.search(
"(\d*)[^0-9: \t\n\r\f\v]*\s*:\s*\S*\s*(\S*) -> (\S*)\s*(\S*) ==>",
line)
y = re.search("(\S*) -> (\S*)\s*(\S*) ==>", line)
if x:
eventTime = float(x.groups()[0])
lastTime = eventTime
action = x.groups()[2]
cid = x.groups()[3]
ctype = x.groups()[1]
#gl.log("%s %s (%s)" % (action.upper(), cid, ctype))
elif y:
eventTime = lastTime
action = y.groups()[1]
cid = y.groups()[2]
ctype = y.groups()[0]
#gl.log("%s %s (%s)" % (action.upper(), cid, ctype))
elif line.startswith("---"):
gl.log(line)
continue
else:
continue
#gl.log("%s %s (%s)" % (action.upper(), cid, ctype))
if any([x in cid for x in ["Main"]]):
#gl.log(" ---> Skipping - can't animate Main")
continue
if re.search("(_)?Activity(_.*)?(?!\S)", ctype):
#gl.log(" ---> Skipping - can't animate the Activity object!")
continue
try:
if eventTime < earliestTime:
earliestTime = eventTime
if eventTime > latestTime:
latestTime = eventTime
evt = event(eventTime, action, cid, ctype)
try:
self.events.append(evt)
except:
gl.log("NESTED ARGHHHHH")
except:
gl.log("ARRGHHH")
print("MagicDrawAnimator2: finished loading events from " +
str(filepath))
gl.log("MagicDrawAnimator2: finished loading events from " +
str(filepath))
elementsNotEnded = []
try:
mda = MagicDrawAnimatorUtils2.MagicDrawAnimator2()
#self.playEvents(mda)
if self.timeScale == 0.0:
gl.log("*** ZERO TIMESCALE: setting timeScale to 1.0")
self.timeScale = 1.0
if usingDialogs:
JOptionPane.showMessageDialog(
self.frame, "Click ok to start simulation.")
#simulatedDuration = (float(latestTime) - float(earliestTime))/ float(self.timeScale)
simulatedDuration = (latestTime -
earliestTime) / self.timeScale
lastTime = earliestTime
elapsedTime = earliestTime
simStartTime = earliestTime / self.timeScale #start at time of first event
elapsedSimTime = simStartTime #start at time of first event
zeroTime = time.time()
except:
exceptionType, exceptionValue, exceptionTraceback = sys.exc_info(
)
gl.log("*** EXCEPTION:")
messages = traceback.format_exception(exceptionType,
exceptionValue,
exceptionTraceback)
for message in messages:
gl.log(message)
print("MagicDrawAnimator2: starting simulation with timeScale = " \
+ str(self.timeScale) + "; last event at " + str(latestTime) \
+ " scaling to " + str(simulatedDuration) + " seconds")
gl.log("MagicDrawAnimator2: starting simulation with timeScale = " \
+ str(self.timeScale) + "; last event at " + str(latestTime) \
+ " scaling to " + str(simulatedDuration) + " seconds")
try:
for evt in self.events:
#gl.log("EVENT at " + str(evt.eventTime))
#Sprint("EVENT at " + str(evt.eventTime))
try:
timeOfNextEvent = (float(evt.eventTime) +
0.0) / self.timeScale
except:
exceptionType, exceptionValue, exceptionTraceback = sys.exc_info(
)
gl.log("*** EXCEPTION:")
messages = traceback.format_exception(
exceptionType, exceptionValue, exceptionTraceback)
for message in messages:
gl.log(message)
#print("1")
if evt.eventTime != lastTime:
mda.doThePaint(
) #paint all events occurring at the previous event time
lastTime = float(evt.eventTime)
#print("2")
if timeOfNextEvent > elapsedSimTime:
print("sleeping sim time of next event(" + str(timeOfNextEvent) \
+ ") - elapsed sim time(" + str(elapsedSimTime) + ") = " \
+ str(timeOfNextEvent - elapsedSimTime) + " seconds")
gl.log("sleeping sim time of next event(" + str(timeOfNextEvent) \
+ ") - elapsed sim time(" + str(elapsedSimTime) + ") = " \
+ str(timeOfNextEvent - elapsedSimTime) + " seconds")
if (timeOfNextEvent - elapsedSimTime) > 300:
gl.log("found time jump > 300")
break
time.sleep(timeOfNextEvent - elapsedSimTime)
if "TimeVaryingMap" in evt.componentId:
try:
val = evt.action.split("=")[1]
except:
val = evt.action
gl.log(" ---> (%s) SETTING VALUE of %s: %s" %
(evt.eventTime, evt.componentType, val))
elif evt.componentType.startswith(
"sig") and "ObjectFlow" in evt.componentId:
sid = evt.componentType.strip("sig")
if "null" in evt.action and sid in elementsNotEnded:
gl.log(" ---> (%s) ENDING SIGNAL %s" %
(evt.eventTime, sid))
mda.end(sid)
elementsNotEnded.remove(sid)
elif "null" not in evt.action:
gl.log(" ---> (%s) STARTING SIGNAL %s ==> %s" %
(evt.eventTime, sid, evt.action))
txt = ""
try:
txt = evt.action.split("=")[1]
except:
txt = evt.action
mda.start(sid, txt)
if sid not in elementsNotEnded:
elementsNotEnded.append(sid)
elif "start" in evt.action:
gl.log(" ---> (%s) STARTING" % evt.eventTime)
mda.start(evt.componentId)
if evt.componentId not in elementsNotEnded:
elementsNotEnded.append(evt.componentId)
elif "end" in evt.action:
gl.log(" ---> (%s) ENDING" % evt.eventTime)
mda.end(evt.componentId)
if evt.componentId in elementsNotEnded:
elementsNotEnded.remove(evt.componentId)
t = time.time()
elapsedSimTime = t - zeroTime + simStartTime
elapsedTime = self.timeScale * elapsedSimTime
gl.log("Debug: elapsed time = " + str(elapsedSimTime))
except:
self.handleException()
if len(elementsNotEnded) > 0:
gl.log("Ending Still-Active Events:")
for e in elementsNotEnded:
gl.log(" ending %s " % e)
try:
mda.end(e)
except:
self.handleException()
mda.doThePaint()
else:
gl.log("All Events Completed")
gl.log("DONE")
elif mode == 1:
e = "_17_0_2_edc0357_1352328158277_34448_20209"
mda = MagicDrawAnimatorUtils2.MagicDrawAnimator2()
gl.log("Starting e (%s)" % e)
mda.start(e, "Porpoise Hork")
mda.doThePaint()
i = 3
while i > 0:
i -= 1
gl.log(".")
time.sleep(1)
gl.log("ending e")
mda.end(e)
mda.doThePaint()
elif mode == 2:
try:
mda = MagicDrawAnimatorUtils2.MagicDrawAnimator2()
e = "_17_0_2_edc0357_1352328158277_34448_20209" # in the usePower activity
gl.log("Starting e (%s)" % e)
mda.start(e)
mda.doThePaint()
tb = None
pem = PresentationElementsManager.getInstance()
sm = SessionManager.getInstance()
try:
sym = mda.gimmeTheSymbol(e)
midPoint = sym.getMiddlePoint()
sm.createSession("make box!")
try:
parentPM = sym.getPropertyManager()
c = Color.GREEN
tb = pem.createTextBox(sym, midPoint)
newBounds = Rectangle(15, 15)
newBounds.setLocation(midPoint)
pem.reshapeShapeElement(tb, newBounds)
pem.setText(tb, " gobblelkajdlfkjakj")
pem.setPresentationElementProperties(tb, parentPM)
sm.closeSession()
except:
sm.cancelSession()
self.handleException()
except:
self.handleException()
i = 3
while i > 0:
i -= 1
gl.log(".")
time.sleep(1)
gl.log("ending e")
mda.end(e)
if tb:
sm.createSession("deleteBox!")
try:
pem.deletePresentationElement(tb)
sm.closeSession()
except:
sm.cancelSession()
self.handleException()
mda.doThePaint()
except:
self.handleException()
def readRectangle(path): with open(path,'r') as f: res = [] for i, line in enumerate(f): res.append(int(line)) return Rectangle(res[0],res[1],res[2],res[3])
def measure(stack, cells, nuclei):
time = [ (t-1)*cal.frameInterval for t in range(T+1) ]
cellValues0 = [ 0.0 for t in range(T+1) ]
cellValues1 = [ 0.0 for t in range(T+1) ]
cellAreas0 = [ 0.0 for t in range(T+1) ]
cellAreas1 = [ 0.0 for t in range(T+1) ]
nucleusValues0 = [ 0.0 for t in range(T+1) ]
nucleusValues1 = [ 0.0 for t in range(T+1) ]
nucleusAreas0 = [ 0.0 for t in range(T+1) ]
nucleusAreas1 = [ 0.0 for t in range(T+1) ]
nonNucleusValues0 = [ 0.0 for t in range(T+1) ]
nonNucleusValues1 = [ 0.0 for t in range(T+1) ]
for t in range(1,T+1):
ip = stack.getProcessor(t)
if cells[t] is None:
continue
#subtract background Z from all intensity Z measurements
if cells [t] is None:
print("Nocellsfound" + str(t))
bothCells = ShapeRoi(cells[t][0]).or(ShapeRoi(cells[t][1]))
backRoi = ShapeRoi(Rectangle(0,0,imp.getWidth(),imp.getHeight())).not( bothCells )
ip.setRoi(backRoi)
backMean = ip.getStatistics().mean
ip.setRoi( cells[t][0] )
stats0 = ip.getStatistics()
cellValues0[t] = stats0.mean - backMean
cellAreas0[t] = stats0.area * cal.pixelWidth * cal.pixelHeight
nuc0 = None
for nuc in nuclei[t]:
rect = nuc.getBounds()
nx = int(rect.x+(rect.width/2.0))
ny = int(rect.y+(rect.height/2.0))
if cells[t][0].contains(nx,ny):
nuc0 = nuc
break
if nuc0 is not None:
ip.setRoi( nuc0 )
nucStats0 = ip.getStatistics()
nucleusValues0[t] = nucStats0.mean - backMean
nucleusAreas0[t] = nucStats0.area * cal.pixelWidth * cal.pixelHeight
nuc0.setPosition(0,0,t)
nuc0.setStrokeColor(Color.CYAN)
ol.add(nuc0)
nonnucRoi0 = ShapeRoi(cells[t][0]).not( ShapeRoi(nuc0) )
ip.setRoi( nonnucRoi0 )
nonNucleusValues0[t] = ip.getStatistics().mean - backMean
ip.setRoi( cells[t][1] )
stats1 = ip.getStatistics()
cellValues1[t] = stats1.mean - backMean
cellAreas1[t] = stats1.area * cal.pixelWidth * cal.pixelHeight
nuc1 = None
for nuc in nuclei[t]:
rect = nuc.getBounds()
nx = int(rect.x+(rect.width/2.0))
ny = int(rect.y+(rect.height/2.0))
if cells[t][1].contains(nx,ny):
nuc1 = nuc
break
if nuc1 is not None:
ip.setRoi( nuc1 )
nucStats1 = ip.getStatistics()
nucleusValues1[t] = nucStats1.mean - backMean
nucleusAreas1[t] = nucStats1.area * cal.pixelWidth * cal.pixelHeight
nuc1.setPosition(0,0,t)
nuc1.setStrokeColor(Color.CYAN)
ol.add(nuc1)
nonnucRoi1 = ShapeRoi(cells[t][1]).not( ShapeRoi(nuc1) )
ip.setRoi( nonnucRoi1 )
nonNucleusValues1[t] = ip.getStatistics().mean - backMean
rt = ResultsTable()
rt.showRowNumbers(False)
for t in range(1,T+1):
rt.setValue("Time ("+cal.getTimeUnit()+")", t-1, IJ.d2s(time[t],1))
areaRatio = cellAreas0[t] / cellAreas1[t] if cellAreas0[t]>0 and cellAreas1[t]>0 else 0.0
rt.setValue("Cell 0:Cell 1 Area Ratio", t-1, areaRatio)
nucleusRatio = nucleusValues0[t] / nucleusValues1[t] if nucleusValues0[t]>0 and nucleusValues1[t]>0 else 0.0
rt.setValue("Cell 0:Cell 1 Nucleus Ratio", t-1, nucleusRatio)
nonNucleusRatio = nonNucleusValues0[t] / nonNucleusValues1[t] if nonNucleusValues0[t]>0 and nonNucleusValues1[t]>0 else 0.0
rt.setValue("Cell 0:Cell 1 Non-Nucleus Ratio", t-1, nonNucleusRatio)
nnnRatio0 = nucleusValues0[t] / nonNucleusValues0[t] if nucleusValues0[t]>0 and nonNucleusValues0[t]>0 else 0.0
rt.setValue("Cell 0 Nucleus:Non-Nucleus Ratio", t-1, nnnRatio0)
nnnRatio1 = nucleusValues1[t] / nonNucleusValues1[t] if nucleusValues1[t]>0 and nonNucleusValues1[t]>0 else 0.0
rt.setValue("Cell 1 Nucleus:Non-Nucleus Ratio", t-1, nnnRatio1)
rt.setValue("Cell 0 (red) Area ("+cal.getUnit()+u"\u00b2"+")", t-1, cellAreas0[t])
rt.setValue("Cell 0 Nucleus Area ("+cal.getUnit()+u"\u00b2"+")", t-1, nucleusAreas0[t])
rt.setValue("Cell 0 All", t-1, cellValues0[t])
rt.setValue("Cell 0 Nucleus", t-1, nucleusValues0[t])
rt.setValue("Cell 0 Non-Nucleus", t-1, nonNucleusValues0[t])
rt.setValue("Cell 1 (green) Area ("+cal.getUnit()+u"\u00b2"+")", t-1, cellAreas1[t])
rt.setValue("Cell 1 Nucleus Area ("+cal.getUnit()+u"\u00b2"+")", t-1, nucleusAreas1[t])
rt.setValue("Cell 1 All", t-1, cellValues1[t])
rt.setValue("Cell 1 Nucleus", t-1, nucleusValues1[t])
rt.setValue("Cell 1 Non-Nucleus", t-1, nonNucleusValues1[t])
rt.show(imp.getTitle()+"-Results")
dataset = DefaultXYDataset()
dataset.addSeries( "Cell 0", [time[1:], cellValues0[1:]] )
dataset.addSeries( "Cell 1", [time[1:], cellValues1[1:]] )
dataset.addSeries( "Nucleus 0", [time[1:], nucleusValues0[1:]] )
dataset.addSeries( "Nucleus 1", [time[1:], nucleusValues1[1:]] )
dataset.addSeries( "Non-Nucleus 0", [time[1:], nonNucleusValues0[1:]] )
dataset.addSeries( "Non-Nucleus 1", [time[1:], nonNucleusValues1[1:]] )
chart = ChartFactory.createScatterPlot( imp.getTitle(), "Time ("+cal.getTimeUnit()+")", "Intensity Z", dataset, PlotOrientation.VERTICAL, True,True,False )
plot = chart.getPlot()
plot.setBackgroundPaint(Color(64, 128, 255))
plot.setDomainGridlinePaint(Color.BLACK)
plot.setRangeGridlinePaint(Color.BLACK)
renderer = plot.getRenderer()
legend = LegendItemCollection()
shapeR = 2.0
nucShape = Ellipse2D.Float(-shapeR,-shapeR,shapeR*2,shapeR*2)
nonNucShape = Path2D.Float()
nonNucShape.moveTo(-shapeR,-shapeR)
nonNucShape.lineTo(shapeR,shapeR)
nonNucShape.moveTo(shapeR,-shapeR)
nonNucShape.lineTo(-shapeR,shapeR)
for s in range(dataset.getSeriesCount()):
if s == 0:
renderer.setSeriesLinesVisible(s, True)
renderer.setSeriesShapesVisible(s, False)
renderer.setSeriesStroke(s, BasicStroke(1))
renderer.setSeriesPaint(s, Color.RED)
legend.add( LegendItem("Cell 0", Color.RED) )
elif s == 1:
renderer.setSeriesLinesVisible(s, True)
renderer.setSeriesShapesVisible(s, False)
renderer.setSeriesStroke(s, BasicStroke(1))
renderer.setSeriesPaint(s, Color.GREEN)
legend.add( LegendItem("Cell 1", Color.GREEN) )
elif s == 2:
renderer.setSeriesLinesVisible(s, False)
renderer.setSeriesShapesVisible(s, True)
renderer.setSeriesShape(s, nucShape)
renderer.setSeriesPaint(s, Color.RED)
elif s == 3:
renderer.setSeriesLinesVisible(s, False)
renderer.setSeriesShapesVisible(s, True)
renderer.setSeriesShape(s, nucShape)
renderer.setSeriesPaint(s, Color.GREEN)
elif s == 4:
renderer.setSeriesLinesVisible(s, False)
renderer.setSeriesShapesVisible(s, True)
renderer.setSeriesShape(s, nonNucShape)
renderer.setSeriesPaint(s, Color.RED)
elif s == 5:
renderer.setSeriesLinesVisible(s, False)
renderer.setSeriesShapesVisible(s, True)
renderer.setSeriesShape(s, nonNucShape)
renderer.setSeriesPaint(s, Color.GREEN)
plot.setFixedLegendItems(legend)
frame = ChartFrame(imp.getTitle()+" Z-Normalised Intensity", chart)
frame.pack()
frame.setSize( Dimension(800, 800) )
frame.setLocationRelativeTo(None)
frame.setVisible(True)
def computeRegistration():
while atomicI.get() < nSections:
l = atomicI.getAndIncrement()
if l < nSections:
IJ.log('Computing EM/LM registration for layer ' + str(l).zfill(4))
layerFolder = fc.mkdir_p(
os.path.join(registrationFolder, 'layer_' + str(l).zfill(4)))
toRegisterFolder = fc.mkdir_p(
os.path.join(layerFolder, 'toRegister'))
registeredFolder = fc.mkdir_p(
os.path.join(layerFolder, 'registered'))
# Applying appropriate filters to make lowresEM and LM look similar for layer l
imLM = IJ.openImage(imPaths['LM'][l])
imLM = fc.localContrast(imLM)
imLMPath = os.path.join(toRegisterFolder,
'imLM_' + str(l).zfill(4) + '.tif')
IJ.save(imLM, imLMPath)
imEM = IJ.openImage(imPaths['EM'][l])
imEM = fc.localContrast(imEM)
imEM = fc.blur(imEM, 2)
imEMPath = os.path.join(toRegisterFolder,
'imEM_' + str(l).zfill(4) + '.tif')
IJ.save(imEM, imEMPath)
# Compute first a simple affine registration on the non-cropped images
IJ.log(
'Computing affine and moving least squares alignment for layer '
+ str(l).zfill(4))
firstStepRegistered = False
# registration at first step with 1step/octave (less features)
pLowRes = getSIFTMatchingParameters(nOctaves[0], 1.6, 16, 4000, 8,
4)
featuresLM = getFeatures(imLMPath, pLowRes)
featuresEM = getFeatures(imEMPath, pLowRes)
matchingResults = getMatchingResults(featuresLM, featuresEM)
if matchingResults is None:
IJ.log(
'No registration matching at low resolution matching step 1 in layer '
+ str(l).zfill(4))
else:
model, inliers = matchingResults
distance = PointMatch.meanDistance(
inliers
) # mean displacement of the remaining matching features
IJ.log('---Layer ' + str(l).zfill(4) + ' distance ' +
str(distance) + ' px with ' + str(len(inliers)) +
' inliers')
if distance > matchingThreshold[0]:
IJ.log(
'Matching accuracy is lower than the threshold at the low resolution step 1 - '
+ str(l).zfill(4) + ' - distance - ' + str(distance))
else:
affTransform = model.createAffine()
s1, s2 = getScalingFactors(affTransform)
IJ.log('Layer ' + str(l).zfill(4) +
' scaling factors - step 1 - ' + str(s1) + ' - ' +
str(s2) + '--' + str(s1 * s2) + ' affDeterminant ' +
str(affTransform.getDeterminant()) + ' nInliers ' +
str(len(inliers)))
if (abs(s1 - 1) < 0.2) and (
abs(s2 - 1) < 0.2
): # scaling in both directions should be close to 1
IJ.log('First step ok - layer ' + str(l).zfill(4))
firstStepRegistered = True
loaderZ.serialize(
affTransform,
os.path.join(registeredFolder, 'affineSerialized'))
if not firstStepRegistered:
IJ.log(
'First step registration in layer ' + str(l).zfill(4) +
' with few features has failed. Trying with more features.'
)
# registration at first step with 3steps/octave (more features)
pLowRes = getSIFTMatchingParameters(3, 1.6, 64, 4000, 8, 4)
#pLowRes = getSIFTMatchingParameters(nOctaves[0], 1.6, 16, 4000, 8, 4) # for BIB
featuresLM = getFeatures(imLMPath, pLowRes)
featuresEM = getFeatures(imEMPath, pLowRes)
matchingResults = getMatchingResults(featuresLM, featuresEM)
if matchingResults is None:
IJ.log(
'No registration matching at low resolution matching step 1bis in layer '
+ str(l).zfill(4))
else:
model, inliers = matchingResults
distance = PointMatch.meanDistance(
inliers
) # mean displacement of the remaining matching features
IJ.log('---Layer ' + str(l).zfill(4) + ' distance ' +
str(distance) + ' px with ' + str(len(inliers)) +
' inliers')
if distance > matchingThreshold[0]:
IJ.log(
'Matching accuracy is lower than the threshold at the high resolution step 1bis - '
+ str(l).zfill(4) + ' - distance - ' +
str(distance))
else:
affTransform = model.createAffine()
s1, s2 = getScalingFactors(affTransform)
IJ.log('Layer ' + str(l).zfill(4) +
' scaling factors - step 1bis - ' + str(s1) +
' - ' + str(s2) + '--' + str(s1 * s2) +
' affDeterminant ' +
str(affTransform.getDeterminant()) +
' nInliers ' + str(len(inliers)))
if (abs(s1 - 1) < 0.2) and (
abs(s2 - 1) < 0.2
): # scaling in both directions should be close to 1
IJ.log('First step 1bis ok - layer ' +
str(l).zfill(4))
firstStepRegistered = True
loaderZ.serialize(
affTransform,
os.path.join(registeredFolder,
'affineSerialized'))
if not firstStepRegistered:
IJ.log('The two first step trials in layer ' +
str(l).zfill(4) + ' have failed')
else:
# Affine transform and crop the LM, and compute a high res MLS matching
with lock: # only one trakem working at a time
# apply affTransform
patch = Patch.createPatch(pZ, imLMPath)
layerZ.add(patch)
patch.setAffineTransform(affTransform)
patch.updateBucket()
# crop and export
bb = Rectangle(0, 0, widthEM, heightEM)
affineCroppedIm = loaderZ.getFlatImage(
layerZ, bb, 1, 0x7fffffff, ImagePlus.GRAY8, Patch,
layerZ.getAll(Patch), True, Color.black, None)
affineCroppedImPath = os.path.join(
toRegisterFolder,
'affineCroppedLM_' + str(l).zfill(4) + '.tif')
IJ.save(affineCroppedIm, affineCroppedImPath)
affineCroppedIm.close()
layerZ.remove(patch)
layerZ.recreateBuckets()
pHighRes = getSIFTMatchingParameters(nOctaves[1], 1.6, 64,
4096, 8, 4)
featuresLM = getFeatures(affineCroppedImPath, pHighRes)
featuresEM = getFeatures(imEMPath, pHighRes)
# get the MLS
matchingResults = getMatchingResults(featuresLM, featuresEM)
if matchingResults is None:
IJ.log(
'It cannot be, there should be a good match given that an affine was computed. Layer '
+ str(l).zfill(4))
else:
model, inliers = matchingResults
affTransform = model.createAffine()
s1, s2 = getScalingFactors(affTransform)
IJ.log('Second step determinant - layer ' +
str(l).zfill(4) + ' - determinant - ' +
str(affTransform.getDeterminant()) + ' nInliers ' +
str(len(inliers)) + 'Scaling factors - step 2 - ' +
str(s1) + ' - ' + str(s2))
if (abs(s1 - 1) < 0.2) and (abs(s2 - 1) < 0.2) and len(
inliers
) > 50: # scaling in both directions should be close to 1
distance = PointMatch.meanDistance(
inliers
) # mean displacement of the remaining matching features
if distance > matchingThreshold[1]:
IJ.log(
'Weird: matching accuracy is lower than the threshold at the high resolution step 2 - '
+ str(l).zfill(4) + ' - distance - ' +
str(distance))
else:
mlst = MovingLeastSquaresTransform()
mlst.setModel(AffineModel2D)
mlst.setAlpha(1)
mlst.setMatches(inliers)
xmlMlst = mlst.toXML('\t')
with open(
os.path.join(registeredFolder, 'MLST.xml'),
'w') as f:
f.write(xmlMlst)
loaderZ.serialize(
mlst,
os.path.join(registeredFolder,
'mlstSerialized'))
registrationStats.append(
[l, distance, len(inliers)])
from java.awt import MouseInfo, Rectangle
from java.util.concurrent import Executors, TimeUnit
import sys
region = Rectangle(500, 500, 400, 400)
outside = True
def regionEntered():
global outside
try:
point = MouseInfo.getPointerInfo().getLocation()
print point
if region.contains(point):
if outside:
print "ENTERED REGION"
outside = False
else:
if not outside:
print "EXITED REGION"
outside = True
except Exception as e:
print sys.print_exception(e)
scheduler = Executors.newSingleThreadScheduledExecutor()
scheduler.scheduleAtFixedRate(regionEntered, 0, 100, TimeUnit.MILLISECONDS)
matrix.set(0, ndims, rot2d.getTranslateX()) matrix.set(1, 0, rot2d.getShearY()) matrix.set(1, 1, rot2d.getScaleY()) matrix.set(1, ndims, rot2d.getTranslateY()) for i in range(2, img.numDimensions()): matrix.set(i, i, 1.0) from pprint import pprint pprint([list(row) for row in matrix.getArray()]) # Define a rotated view of the image rotated = RV.transform(imgR, AffineTransform(matrix)) # View the image rotated, without enlarging the canvas minC = [0 for i in range(img.numDimensions())] maxC = [img.dimension(i) -1 for i in range(img.numDimensions())] imgRot2d = IL.wrap(Views.interval(rotated, minC, maxC), imp.getTitle() + " - rot2d") imgRot2d.show() # View the image rotated, enlarging the canvas to fit it. # We compute the bounds of the enlarged canvas by transforming a rectangle, # then define the interval min and max coordinates by subtracting # and adding as appropriate to exactly capture the complete rotated image. bounds = rot2d.createTransformedShape(Rectangle(img.dimension(0), img.dimension(1))).getBounds() minC[0] = (img.dimension(0) - bounds.width) / 2 minC[1] = (img.dimension(1) - bounds.height) / 2 maxC[0] += abs(minC[0]) -1 maxC[1] += abs(minC[1]) -1 imgRot2dFit = IL.wrap(Views.interval(rotated, minC, maxC), imp.getTitle() + " - rot2dFit") imgRot2dFit.show()
registrationFolder = os.path.join(os.path.dirname(projectPath),
'LMEMRegistration')
for idChannel, channel in enumerate(channels):
affineCroppedFolder = os.path.join(LMFolder, 'affineCropped_' + channel)
# the dimensions of the first affineCropped determine the size of the layerset of the trakem project (and for the export)
firstImagePath = os.path.join(affineCroppedFolder,
os.walk(affineCroppedFolder).next()[2][0])
im0 = IJ.openImage(firstImagePath)
width0 = im0.getWidth()
height0 = im0.getHeight()
im0.close()
roiExport = Rectangle(0, 0, width0, height0)
projectPath = os.path.join(EMFolder, 'LMProject_' + channel + '.xml')
p, loader, layerset, nLayers = fc.getProjectUtils(
fc.initTrakem(LMFolder, nLayers))
p.saveAs(projectPath, True)
layerset.setDimensions(0, 0, width0, height0)
for l, layer in enumerate(layerset.getLayers()):
layerFolder = os.path.join(registrationFolder,
'layer_' + str(l).zfill(4))
registeredFolder = os.path.join(layerFolder, 'registered')
MLSTPath = os.path.join(registeredFolder, 'MLST.xml')
if os.path.isfile(MLSTPath):
MLSTransform = CoordinateTransformXML().parse(MLSTPath)
affineCroppedImPath = os.path.join(
def specifyRoiUI(roi=Roi(0, 0, 0, 0)):
# A panel in which to place UI elements
panel = JPanel()
panel.setBorder(BorderFactory.createEmptyBorder(10, 10, 10, 10))
gb = GridBagLayout()
panel.setLayout(gb)
gc = GBC()
bounds = roi.getBounds() if roi else Rectangle()
textfields = []
roimakers = []
# Basic properties of most UI elements, will edit when needed
gc.gridx = 0 # can be any natural number
gc.gridy = 0 # idem.
gc.gridwidth = 1 # when e.g. 2, the UI element will occupy two horizontally adjacent grid cells
gc.gridheight = 1 # same but vertically
gc.fill = GBC.NONE # can also be BOTH, VERTICAL and HORIZONTAL
for title in ["x", "y", "width", "height"]:
# label
gc.gridx = 0
gc.anchor = GBC.EAST
label = JLabel(title + ": ")
gb.setConstraints(label, gc) # copies the given constraints 'gc',
# so we can modify and reuse gc later.
panel.add(label)
# text field, below the title
gc.gridx = 1
gc.anchor = GBC.WEST
text = str(getattr(bounds,
title)) # same as e.g. bounds.x, bounds.width, ...
textfield = JTextField(text,
10) # 10 is the size of the field, in digits
gb.setConstraints(textfield, gc)
panel.add(textfield)
textfields.append(
textfield) # collect all 4 created textfields for the listeners
# setup ROI and text field listeners
listener = RoiMaker(textfields,
len(textfields) -
1) # second argument is the index of textfield
# in the list of textfields.
roimakers.append(listener)
textfield.addKeyListener(listener)
textfield.addMouseWheelListener(listener)
# Position next ROI property in a new row by increasing the Y coordinate of the layout grid
gc.gridy += 1
# User documentation (uses HTML to define line breaks)
doc = JLabel(
"<html><body><br />Click on a field to activate it, then:<br />" +
"Type in integer numbers<br />" +
"or use arrow keys to increase by 1<br />" +
"or use the scroll wheel on a field.</body></html>")
gc.gridx = 0 # start at the first column
gc.gridwidth = 2 # Spans both columns
gb.setConstraints(doc, gc)
panel.add(doc)
# Listen to changes in the ROI of imp
roilistener = TextFieldUpdater(textfields)
Roi.addRoiListener(roilistener)
# Show window
frame = JFrame("Specify rectangular ROI")
frame.getContentPane().add(panel)
frame.pack()
frame.setLocationRelativeTo(None) # center in the screen
frame.setDefaultCloseOperation(
JFrame.DO_NOTHING_ON_CLOSE) # prevent closing the window
frame.addWindowListener(
CloseControl(roilistener)) # handles closing the window
frame.setVisible(True)
from java.awt import MouseInfo, Rectangle, Toolkit
from java.util.concurrent import Executors, TimeUnit
import sys
from ij import IJ
# Dimensions of an action region
w, h = 50, 50
# Dimensions of the whole screen
screen = Toolkit.getDefaultToolkit().getScreenSize()
# Dictionary of action region names vs. tuple of area and ImageJ command with macro arguments
corners = {
'top-left': (Rectangle(0, 0, w, h), ["Capture Screen"]),
'top-right': (Rectangle(screen.width - w, 0, w, h), ["Split Channels"]),
'bottom-right':
(Rectangle(screen.width - w, screen.height - h, w,
h), ["Z Project...", "projection=[Max Intensity]"]),
'bottom-left': (Rectangle(0, screen.height - h, w,
h), ["Dynamic ROI Profiler"])
}
# State: whether the mouse is outside any of the action regions
outside = True
def actionRegion():
global outside # will be modified, so import for editing with 'global'
try:
point = MouseInfo.getPointerInfo().getLocation()
inside = False
# Check if the mouse is in any of the action regions