def plot(self, im):
"""
Plots and call auxfun_drag class for moving and removing points.
"""
#small hack in case there are any 0 intensity images!
im = io.imread(im)
maxIntensity = np.max(im)
if maxIntensity == 0:
maxIntensity = np.max(im) + 255
self.drs = []
for bpindex, bp in enumerate(self.bodyparts):
color = self.colormap(self.norm(self.colorIndex[bpindex]))
if 'CollectedData_' in self.fileName:
self.points = [
self.Dataframe[self.scorer][bp]['x'].values[self.iter],
self.Dataframe[self.scorer][bp]['y'].values[self.iter], 1.0
]
self.likelihood = self.points[2]
else:
self.points = [
self.Dataframe[self.scorer][bp]['x'].values[self.iter],
self.Dataframe[self.scorer][bp]['y'].values[self.iter],
self.Dataframe[self.scorer][bp]['likelihood'].values[
self.iter]
]
self.likelihood = self.points[2]
if self.move2corner == True:
ny, nx = np.shape(im)[0], np.shape(im)[1]
if self.points[0] > nx or self.points[0] < 0:
self.points[0] = self.center[0]
if self.points[1] > ny or self.points[1] < 0:
self.points[1] = self.center[1]
if not ('CollectedData_'
in self.fileName) and self.likelihood < self.threshold:
circle = [
patches.Circle((self.points[0], self.points[1]),
radius=self.markerSize,
facecolor='None',
edgecolor=color)
]
else:
circle = [
patches.Circle((self.points[0], self.points[1]),
radius=self.markerSize,
fc=color,
alpha=self.alpha)
]
self.axes.add_patch(circle[0])
self.dr = auxfun_drag.DraggablePoint(circle[0], bp,
self.likelihood)
self.dr.connect()
self.dr.coords = MainFrame.getLabels(self, self.iter)[bpindex]
self.drs.append(self.dr)
self.updatedCoords.append(self.dr.coords)
self.figure.canvas.draw()
def plot(self,im,im_axis):
"""
Plots and call auxfun_drag class for moving and removing points.
"""
# self.canvas = FigureCanvas(self, -1, self.fig1)
cbar = self.fig1.colorbar(im_axis, ax = self.ax1f1)
#small hack in case there are any 0 intensity images!
maxIntensity = np.max(im)
if maxIntensity == 0:
maxIntensity = np.max(im) + 255
cbar.set_ticks(range(12,np.max(im),int(np.floor(maxIntensity/self.num_joints))))
# cbar.set_ticks(range(12,np.max(im),8))
cbar.set_ticklabels(self.bodyparts2plot)
normalize = mcolors.Normalize(vmin=np.min(self.colorparams), vmax=np.max(self.colorparams))
# Calling auxfun_drag class for moving points around
for bpindex, bp in enumerate(self.bodyparts2plot):
color = self.colormap(normalize(bpindex))
if 'CollectedData_' in self.fileName:
self.points = [self.Dataframe[self.scorer][bp]['x'].values[self.iter],self.Dataframe[self.scorer][bp]['y'].values[self.iter],1.0]
self.likelihood = self.points[2]
else:
self.points = [self.Dataframe[self.scorer][bp]['x'].values[self.iter],self.Dataframe[self.scorer][bp]['y'].values[self.iter],self.Dataframe[self.scorer][bp]['likelihood'].values[self.iter]]
self.likelihood = self.points[2]
if self.move2corner==True:
ny,nx=np.shape(im)[0],np.shape(im)[1]
if self.points[0]>nx or self.points[0]<0:
self.points[0]=self.center[0]
if self.points[1]>ny or self.points[1]<0:
self.points[1]= self.center[1]
if not ('CollectedData_' in self.fileName) and self.likelihood < self.threshold:
circle = [patches.Circle((self.points[0], self.points[1]), radius=self.markerSize, facecolor = 'None', edgecolor = color)]
else:
circle = [patches.Circle((self.points[0], self.points[1]), radius=self.markerSize, fc = color, alpha=self.alpha)]
self.ax1f1.add_patch(circle[0])
self.dr = auxfun_drag.DraggablePoint(circle[0],bp,self.likelihood,self.adjust_original_labels)
self.dr.connect()
self.drs.append(self.dr)
self.updatedCoords.append(self.dr.coords)
