def _draw_labels(self, image, track, markersize=0.20):
nframes = len(track)
size = int(round(image.shape[1]/nframes, 0)), image.shape[0]
msize = int(round(size[0]*markersize, 0))
image[size[1]-int(msize/4):size[1], :] = hex2rgb("#FFFFFF")
for i, label in enumerate(track):
name = self.classdef.class_names[label]
color = np.array(hex2rgb(self.classdef.hexcolors[name], mpl=False),
dtype=int)
image[size[1]-msize:size[1], i*size[0]:i*size[0]+msize] = color
return image
def _draw_labels(self, image, track, markersize=0.20):
nframes = len(track)
size = int(round(image.shape[1] / nframes, 0)), image.shape[0]
msize = int(round(size[0] * markersize, 0))
image[size[1] - int(msize / 4):size[1], :] = hex2rgb("#FFFFFF")
for i, label in enumerate(track):
name = self.classdef.class_names[label]
color = np.array(hex2rgb(self.classdef.hexcolors[name], mpl=False),
dtype=int)
image[size[1] - msize:size[1],
i * size[0]:i * size[0] + msize] = color
return image
def draw_annotation_images(self,
plate,
training_set,
container,
learner,
rid=""):
cldir = dict([(cname, join(learner.samples_dir, cname)) \
for cname in learner.class_names.values()])
# create dir per class name
for dir_ in cldir.values():
makedirs(dir_)
for obj in training_set.itervalues():
rgb_value = ccore.RGBValue(*hex2rgb(obj.strHexColor))
file_ = 'PL%s___P%s___T%05d___X%04d___Y%04d' \
%(plate, self.P, self._iT,
obj.oCenterAbs[0], obj.oCenterAbs[1])
obj.file = file_
file_ = join(cldir[obj.strClassName],
'%s___%s.png' % (file_, rid + "_%s"))
container.exportObject(obj.iId, file_ % "img", file_ % "msk")
container.markObjects([obj.iId], rgb_value, False, True)
ccore.drawFilledCircle(ccore.Diff2D(*obj.oCenterAbs), 3,
container.img_rgb, rgb_value)
def _activate_object(self, item, point, class_name, state=True):
if state:
color = \
QColor(*hex2rgb(self._learner.hexcolors[class_name]))
# color.setAlphaF(1.0)
label = self._learner.class_labels[class_name]
# item2 = QGraphicsEllipseItem(point.x(), point.y(), 3, 3,item)
# item2.setPen(QPen(color))
# item2.setBrush(QBrush(color))
# item2.show()
item2 = QGraphicsSimpleTextItem(str(label), item)
rect = item2.boundingRect()
# center the text item at the annotated point
item2.setPos(point - QPointF(rect.width() / 2, rect.height() / 2))
item2.setPen(QPen(color))
item2.setBrush(QBrush(color))
item2.show()
else:
color = self.browser.image_viewer.contour_color
scene = item.scene()
for item2 in item.childItems():
scene.removeItem(item2)
item.set_pen_color(color)
obj_id = item.data(0)
return obj_id
def _activate_object(self, item, point, class_name, state=True):
if state:
color = \
QColor(*hex2rgb(self._learner.hexcolors[class_name]))
# color.setAlphaF(1.0)
label = self._learner.class_labels[class_name]
# item2 = QGraphicsEllipseItem(point.x(), point.y(), 3, 3,item)
# item2.setPen(QPen(color))
# item2.setBrush(QBrush(color))
# item2.show()
item2 = QGraphicsSimpleTextItem(str(label), item)
rect = item2.boundingRect()
# center the text item at the annotated point
item2.setPos(point - QPointF(rect.width()/2, rect.height()/2))
item2.setPen(QPen(color))
item2.setBrush(QBrush(color))
item2.show()
else:
color = self.browser.image_viewer.contour_color
scene = item.scene()
for item2 in item.childItems():
scene.removeItem(item2)
item.set_pen_color(color)
obj_id = item.data(0)
return obj_id
def draw_annotation_images(self, plate, training_set, container, learner, rid=""):
cldir = dict([(cname, join(learner.samples_dir, cname)) \
for cname in learner.class_names.values()])
# create dir per class name
for dir_ in cldir.values():
makedirs(dir_)
for obj in training_set.itervalues():
rgb_value = ccore.RGBValue(*hex2rgb(obj.strHexColor))
file_ = 'PL%s___P%s___T%05d___X%04d___Y%04d' \
%(plate, self.P, self._iT,
obj.oCenterAbs[0], obj.oCenterAbs[1])
obj.file = file_
file_ = join(cldir[obj.strClassName],
'%s___%s.png' %(file_, rid+"_%s"))
container.exportObject(obj.iId, file_ %"img", file_ %"msk")
container.markObjects([obj.iId], rgb_value, False, True)
ccore.drawFilledCircle(ccore.Diff2D(*obj.oCenterAbs),
3, container.img_rgb, rgb_value)
def render(self, dctRenderInfo=None, images=None):
lstImages = []
if not images is None:
lstImages += images
if dctRenderInfo is None:
for name, oChannel in self._channel_registry.iteritems():
for strRegion, oContainer in oChannel.containers.iteritems():
strHexColor, fAlpha = oChannel.dctAreaRendering[strRegion]
imgRaw = oChannel.meta_image.image
imgCon = ccore.Image(imgRaw.width, imgRaw.height)
ccore.drawContour(oContainer.getBinary(), imgCon, 255,
False)
lstImages.append((imgRaw, strHexColor, 1.0))
lstImages.append((imgCon, strHexColor, fAlpha))
else:
for channel_name, dctChannelInfo in dctRenderInfo.iteritems():
if channel_name in self._channel_registry:
oChannel = self._channel_registry[channel_name]
if 'raw' in dctChannelInfo:
strHexColor, fAlpha = dctChannelInfo['raw']
# special casing for virtual channel to mix
# raw images together
if oChannel.is_virtual():
lstImages.extend(oChannel.meta_images(fAlpha))
else:
lstImages.append(
(oChannel.meta_image.image, strHexColor, 1.0))
if 'contours' in dctChannelInfo:
# transform the old dict-style to the new tuple-style,
# which allows multiple definitions for one region
if isinstance(dctChannelInfo['contours'], dict):
lstContourInfos = [
(k, ) + v for k, v in
dctChannelInfo['contours'].iteritems()
]
else:
lstContourInfos = dctChannelInfo['contours']
for tplData in lstContourInfos:
strRegion, strNameOrColor, fAlpha, bShowLabels = tplData[:
4]
# draw contours only if region is present
if oChannel.has_region(strRegion):
if len(tplData) > 4:
bThickContours = tplData[4]
else:
bThickContours = False
imgRaw = oChannel.meta_image.image
if strNameOrColor == 'class_label':
oContainer = oChannel.containers[strRegion]
oRegion = oChannel.get_region(strRegion)
dctLabels = {}
dctColors = {}
for iObjId, oObj in oRegion.iteritems():
iLabel = oObj.iLabel
if not iLabel is None:
if not iLabel in dctLabels:
dctLabels[iLabel] = []
dctLabels[iLabel].append(iObjId)
dctColors[
iLabel] = oObj.strHexColor
imgCon2 = ccore.Image(
imgRaw.width, imgRaw.height)
for iLabel, lstObjIds in dctLabels.iteritems(
):
imgCon = ccore.Image(
imgRaw.width, imgRaw.height)
# Flip this and use drawContours with fill option enables to get black background
oContainer.drawContoursByIds(
lstObjIds, 255, imgCon,
bThickContours, False)
lstImages.append(
(imgCon, dctColors[iLabel],
fAlpha))
if isinstance(bShowLabels,
bool) and bShowLabels:
oContainer.drawTextsByIds(
lstObjIds,
[str(iLabel)] * len(lstObjIds),
imgCon2)
lstImages.append((imgCon2, '#FFFFFF', 1.0))
else:
oContainer = oChannel.containers[strRegion]
oRegion = oChannel.get_region(strRegion)
lstObjIds = oRegion.keys()
imgCon = ccore.Image(
imgRaw.width, imgRaw.height)
if not strNameOrColor is None:
oContainer.drawContoursByIds(
lstObjIds, 255, imgCon,
bThickContours, False)
else:
strNameOrColor = '#FFFFFF'
lstImages.append(
(imgCon, strNameOrColor, fAlpha))
if bShowLabels:
imgCon2 = ccore.Image(
imgRaw.width, imgRaw.height)
oContainer.drawLabelsByIds(
lstObjIds, imgCon2)
lstImages.append(
(imgCon2, '#FFFFFF', 1.0))
if len(lstImages) > 0:
imgRgb = ccore.makeRGBImage(
[x[0].getView() for x in lstImages],
[ccore.RGBValue(*hex2rgb(x[1]))
for x in lstImages], [x[2] for x in lstImages])
return imgRgb
def render(self, dctRenderInfo=None, images=None):
lstImages = []
if not images is None:
lstImages += images
if dctRenderInfo is None:
for name, oChannel in self._channel_registry.iteritems():
for strRegion, oContainer in oChannel.containers.iteritems():
strHexColor, fAlpha = oChannel.dctAreaRendering[strRegion]
imgRaw = oChannel.meta_image.image
imgCon = ccore.Image(imgRaw.width, imgRaw.height)
ccore.drawContour(oContainer.getBinary(), imgCon, 255, False)
lstImages.append((imgRaw, strHexColor, 1.0))
lstImages.append((imgCon, strHexColor, fAlpha))
else:
for channel_name, dctChannelInfo in dctRenderInfo.iteritems():
if channel_name in self._channel_registry:
oChannel = self._channel_registry[channel_name]
if 'raw' in dctChannelInfo:
strHexColor, fAlpha = dctChannelInfo['raw']
# special casing for virtual channel to mix
# raw images together
if oChannel.is_virtual():
lstImages.extend(oChannel.meta_images(fAlpha))
else:
lstImages.append((oChannel.meta_image.image, strHexColor, 1.0))
if 'contours' in dctChannelInfo:
# transform the old dict-style to the new tuple-style,
# which allows multiple definitions for one region
if isinstance(dctChannelInfo['contours'], dict):
lstContourInfos = [(k,)+v
for k,v in dctChannelInfo['contours'].iteritems()]
else:
lstContourInfos = dctChannelInfo['contours']
for tplData in lstContourInfos:
strRegion, strNameOrColor, fAlpha, bShowLabels = tplData[:4]
# draw contours only if region is present
if oChannel.has_region(strRegion):
if len(tplData) > 4:
bThickContours = tplData[4]
else:
bThickContours = False
imgRaw = oChannel.meta_image.image
if strNameOrColor == 'class_label':
oContainer = oChannel.containers[strRegion]
oRegion = oChannel.get_region(strRegion)
dctLabels = {}
dctColors = {}
for iObjId, oObj in oRegion.iteritems():
iLabel = oObj.iLabel
if not iLabel is None:
if not iLabel in dctLabels:
dctLabels[iLabel] = []
dctLabels[iLabel].append(iObjId)
dctColors[iLabel] = oObj.strHexColor
imgCon2 = ccore.Image(imgRaw.width, imgRaw.height)
for iLabel, lstObjIds in dctLabels.iteritems():
imgCon = ccore.Image(imgRaw.width, imgRaw.height)
# Flip this and use drawContours with fill option enables to get black background
oContainer.drawContoursByIds(lstObjIds, 255, imgCon, bThickContours, False)
lstImages.append((imgCon, dctColors[iLabel], fAlpha))
if isinstance(bShowLabels, bool) and bShowLabels:
oContainer.drawTextsByIds(lstObjIds, [str(iLabel)]*len(lstObjIds), imgCon2)
lstImages.append((imgCon2, '#FFFFFF', 1.0))
else:
oContainer = oChannel.containers[strRegion]
oRegion = oChannel.get_region(strRegion)
lstObjIds = oRegion.keys()
imgCon = ccore.Image(imgRaw.width, imgRaw.height)
if not strNameOrColor is None:
oContainer.drawContoursByIds(lstObjIds, 255, imgCon, bThickContours, False)
else:
strNameOrColor = '#FFFFFF'
lstImages.append((imgCon, strNameOrColor, fAlpha))
if bShowLabels:
imgCon2 = ccore.Image(imgRaw.width, imgRaw.height)
oContainer.drawLabelsByIds(lstObjIds, imgCon2)
lstImages.append((imgCon2, '#FFFFFF', 1.0))
if len(lstImages) > 0:
imgRgb = ccore.makeRGBImage([x[0].getView() for x in lstImages],
[ccore.RGBValue(*hex2rgb(x[1])) for x in lstImages],
[x[2] for x in lstImages])
return imgRgb
def _set_info_table(self, conf):
rows = len(self._learner.class_labels)
self._table_info.clear()
names_horizontal = [('Name', 'class name'),
('Samples', 'class samples'),
('Color', 'class color'),
('%PR', 'class precision in %'),
('%SE', 'class sensitivity in %')]
names_vertical = [str(k) for k in self._learner.class_names.keys()] + \
['', '#']
self._table_info.setColumnCount(len(names_horizontal))
self._table_info.setRowCount(len(names_vertical))
self._table_info.setVerticalHeaderLabels(names_vertical)
self._table_info.setColumnWidth(1, 20)
for c, (name, info) in enumerate(names_horizontal):
item = QTableWidgetItem(name)
item.setToolTip(info)
self._table_info.setHorizontalHeaderItem(c, item)
for r, label in enumerate(self._learner.class_names.keys()):
self._table_info.setRowHeight(r, 20)
name = self._learner.class_names[label]
samples = self._learner.names2samples[name]
self._table_info.setItem(r, 0, QTableWidgetItem(name))
self._table_info.setItem(r, 1, QTableWidgetItem(str(samples)))
item = QTableWidgetItem(' ')
item.setBackground(QBrush(\
QColor(*hex2rgb(self._learner.hexcolors[name]))))
self._table_info.setItem(r, 2, item)
if not conf is None and r < len(conf):
item = QTableWidgetItem('%.1f' % (conf.ppv[r] * 100.))
item.setToolTip('"%s" precision' % name)
self._table_info.setItem(r, 3, item)
item = QTableWidgetItem('%.1f' % (conf.se[r] * 100.))
item.setToolTip('"%s" sensitivity' % name)
self._table_info.setItem(r, 4, item)
if not conf is None:
self._table_info.setRowHeight(r+1, 20)
r += 2
self._table_info.setRowHeight(r, 20)
name = "overal"
samples = sum(self._learner.names2samples.values())
self._table_info.setItem(r, 0, QTableWidgetItem(name))
self._table_info.setItem(r, 1, QTableWidgetItem(str(samples)))
item = QTableWidgetItem(' ')
item.setBackground(QBrush(QColor(*hex2rgb('#FFFFFF'))))
self._table_info.setItem(r, 2, item)
item = QTableWidgetItem('%.1f' % (conf.wav_ppv * 100.))
item.setToolTip('%s per class precision' % name)
self._table_info.setItem(r, 3, item)
item = QTableWidgetItem('%.1f' % (conf.wav_se * 100.))
item.setToolTip('%s per class sensitivity' % name)
self._table_info.setItem(r, 4, item)
self._table_info.resizeColumnsToContents()
def _set_info_table(self, conf):
rows = len(self._learner.class_labels)
self._table_info.clear()
names_horizontal = [('Name', 'class name'),
('Samples', 'class samples'),
('Color', 'class color'),
('%PR', 'class precision in %'),
('%SE', 'class sensitivity in %')]
names_vertical = [str(k) for k in self._learner.class_names.keys()] + \
['', '#']
self._table_info.setColumnCount(len(names_horizontal))
self._table_info.setRowCount(len(names_vertical))
self._table_info.setVerticalHeaderLabels(names_vertical)
self._table_info.setColumnWidth(1, 20)
for c, (name, info) in enumerate(names_horizontal):
item = QTableWidgetItem(name)
item.setToolTip(info)
self._table_info.setHorizontalHeaderItem(c, item)
for r, label in enumerate(self._learner.class_names.keys()):
self._table_info.setRowHeight(r, 20)
name = self._learner.class_names[label]
samples = self._learner.names2samples[name]
self._table_info.setItem(r, 0, QTableWidgetItem(name))
self._table_info.setItem(r, 1, QTableWidgetItem(str(samples)))
item = QTableWidgetItem(' ')
item.setBackground(QBrush(\
QColor(*hex2rgb(self._learner.hexcolors[name]))))
self._table_info.setItem(r, 2, item)
if not conf is None and r < len(conf):
item = QTableWidgetItem('%.1f' % (conf.ppv[r] * 100.))
item.setToolTip('"%s" precision' % name)
self._table_info.setItem(r, 3, item)
item = QTableWidgetItem('%.1f' % (conf.se[r] * 100.))
item.setToolTip('"%s" sensitivity' % name)
self._table_info.setItem(r, 4, item)
if not conf is None:
self._table_info.setRowHeight(r + 1, 20)
r += 2
self._table_info.setRowHeight(r, 20)
name = "overal"
samples = sum(self._learner.names2samples.values())
self._table_info.setItem(r, 0, QTableWidgetItem(name))
self._table_info.setItem(r, 1, QTableWidgetItem(str(samples)))
item = QTableWidgetItem(' ')
item.setBackground(QBrush(QColor(*hex2rgb('#FFFFFF'))))
self._table_info.setItem(r, 2, item)
item = QTableWidgetItem('%.1f' % (conf.wav_ppv * 100.))
item.setToolTip('%s per class precision' % name)
self._table_info.setItem(r, 3, item)
item = QTableWidgetItem('%.1f' % (conf.wav_se * 100.))
item.setToolTip('%s per class sensitivity' % name)
self._table_info.setItem(r, 4, item)
self._table_info.resizeColumnsToContents()
def from_hex_color(cls, name, string):
return cls(name, hex2rgb(string))
def from_hex_color(cls, name, string):
return cls(name, hex2rgb(string))
