def on_handle(self):
win = IPy.get_window()
if win is None: return
x, y = self.viewport.GetValue()
win.canvas.center(x, y, 'data')
win.ips.update()
self.viewport.set_box(win.canvas.conbox, win.canvas.winbox)
def on_apply(self, event):
win = IPy.get_window()
if win is None: return
img = win.ips.img
step = max(max(img.shape[:2]) // 300, 1)
self.viewport.set_img(win.ips.lookup(img[::step, ::step]), img.shape)
self.viewport.set_box(win.canvas.conbox, win.canvas.winbox)
def show(self):
self.dialog = ThresholdDialog(IPy.get_window(), self.title)
hist = np.histogram(self.ips.lookup(),list(range(257)))[0]
hist = (hist*(100.0/hist.max())).astype(np.uint8)
self.dialog.init_view(self.view, self.para, hist, self.arange)
self.dialog.set_handle(lambda x:self.preview(self.para))
return self.dialog.ShowModal()
def on_handle(self):
win = IPy.get_window()
if win is None: return
x, y = self.viewport.GetValue()
print(x, y)
win.canvas.center(x, y)
win.canvas.ips.update = 'pix'
self.viewport.set_box(win.canvas.imgbox, win.canvas.box)
def on_handle(self, update=False): if update: self.on_apply(update) win = IPy.get_window() if win is None: return x, y = self.viewport.GetValue() win.canvas.center(x, y, 'data') win.ips.update() self.viewport.set_box(win.canvas.conbox, win.canvas.winbox)
def mouse_down(self, ips, x, y, btn, **key):
if ips == self.ips1:
self.ips1.mark.set_xy(x, y)
self.ips.mark.set_xy(None, y)
self.ips.cur = int(x)
self.ips1.update()
self.ips.update()
elif ips == self.ips2:
self.ips2.mark.set_xy(x, y)
self.ips.mark.set_xy(x, None)
self.ips.cur = int(y)
self.ips2.update()
self.ips.update()
elif ips.get_nslices() == 1 or not ips.is3d:
IPy.alert('stack required!')
return
elif self.view1 == None:
img1, img2 = self.getimgs(ips.imgs, x, y)
self.ips1 = ImagePlus([img1])
self.ips2 = ImagePlus([img2])
self.view1 = CanvasFrame(IPy.curapp)
self.view2 = CanvasFrame(IPy.curapp)
self.ips = ips
self.view1.set_ips(self.ips1)
self.view2.set_ips(self.ips2)
canvas1, canvas2 = self.view1.canvas, self.view2.canvas
canvas = IPy.get_window().canvas
canvas1.scaleidx = canvas2.scaleidx = canvas.scaleidx
canvas1.zoom(canvas.scales[canvas.scaleidx], 0, 0)
canvas2.zoom(canvas.scales[canvas.scaleidx], 0, 0)
self.view1.Show()
self.view2.Show()
ips.mark = Cross(*ips.size[::-1])
ips.mark.set_xy(x, y)
self.ips1.mark = Cross(*self.ips1.size[::-1])
self.ips2.mark = Cross(*self.ips2.size[::-1])
self.ips1.mark.set_xy(x, ips.cur)
self.ips2.mark.set_xy(ips.cur, y)
ips.update()
else:
img1, img2 = self.getimgs(ips.imgs, x, y)
self.ips1.set_imgs([img1])
self.ips2.set_imgs([img2])
'''
canvas1, canvas2 = self.view1.canvas, self.view2.canvas
canvas = IPy.curwindow.canvas
canvas1.scaleidx = canvas2.scaleidx = canvas.scaleidx
canvas1.zoom(canvas.scales[canvas.scaleidx], 0, 0)
canvas2.zoom(canvas.scales[canvas.scaleidx], 0, 0)
'''
self.ips1.mark.set_xy(ips.cur, y)
self.ips2.mark.set_xy(x, ips.cur)
self.ips1.update()
self.ips2.update()
ips.mark.set_xy(x, y)
ips.update()
def on_fit(self, event):
win = IPy.get_window()
if win is None: return
win.canvas.fit()
win.ips.update()
self.slider.SetValue(win.canvas.scaleidx)
k = self.scales[self.slider.GetValue()]
self.label.SetLabel('%.2f%%' % (k * 100))
self.viewport.set_box(win.canvas.conbox, win.canvas.winbox)
def show(self):
print('threshold show')
self.dialog = ThresholdDialog(IPy.get_window(), self.title)
hist = np.histogram(self.ips.lookup(), list(range(257)))[0]
self.dialog.init_view(self.view, self.para, hist, self.ips.range)
self.dialog.set_handle(lambda x: self.preview(self.ips, self.para))
self.dialog.on_ok = lambda: self.ok(self.ips)
self.dialog.on_cancel = lambda: self.cancel(self.ips)
self.dialog.Show()
def on_zoom(self, event):
k = self.scales[self.slider.GetValue()]
self.label.SetLabel('%.2f%%' % (k * 100))
win = IPy.get_window()
if win is None: return
a, b, c, d = win.canvas.winbox
win.canvas.scaleidx = self.slider.GetValue()
win.canvas.zoom(k, (a + c) / 2, (b + d) / 2)
win.ips.update()
self.viewport.set_box(win.canvas.conbox, win.canvas.winbox)
def on_one(self, event):
win = IPy.get_window()
if win is None: return
a, b, c, d = win.canvas.winbox
win.canvas.scaleidx = self.scales.index(1)
win.canvas.zoom(1, (a + c) / 2, (b + d) / 2)
win.ips.update()
self.slider.SetValue(win.canvas.scaleidx)
self.label.SetLabel('%.2f%%' % 100)
self.viewport.set_box(win.canvas.conbox, win.canvas.winbox)
def on_zoom(self, event):
k = self.scales[self.slider.GetValue()]
self.label.SetLabel('%.2f%%' % (k * 100))
win = IPy.get_window()
if win is None: return
a, b, c, d = win.canvas.box
x, y = win.canvas.to_data_coor(c / 2, d / 2)
win.canvas.scaleidx = self.slider.GetValue()
win.canvas.zoom(k, x, y)
win.canvas.ips.update = 'pix'
self.viewport.set_box(win.canvas.imgbox, win.canvas.box)
def on_one(self, event):
win = IPy.get_window()
if win is None: return
a, b, c, d = win.canvas.box
x, y = win.canvas.to_data_coor(c / 2, d / 2)
win.canvas.scaleidx = self.scales.index(1)
win.canvas.zoom(1, x, y)
win.canvas.ips.update = 'pix'
self.slider.SetValue(win.canvas.scaleidx)
self.label.SetLabel('%.2f%%' % 100)
self.viewport.set_box(win.canvas.imgbox, win.canvas.box)
def load(self):
dirdialog = wx.DirDialog(IPy.get_window(),
message=wx.DirSelectorPromptStr,
defaultPath="",
style=wx.DD_DEFAULT_STYLE,
pos=wx.DefaultPosition,
size=wx.DefaultSize,
name=wx.DirDialogNameStr)
if dirdialog.ShowModal() == wx.ID_OK:
self.pathAPI = dirdialog.GetPath()
self.pathAPI = self.pathAPI + os.path.sep
else:
return False
if platform.system() == 'Windows':
self.python = 'python'
else:
self.python = 'python3'
subprocess.check_output(
[self.python, self.pathAPI + 'listFrameworks.py'])
data = json.load(open('data.json'))
frameworks = data['frameworks']
subprocess.check_output(
[self.python, self.pathAPI + 'listModels.py', '-f', 'Keras'])
data = json.load(open('data.json'))
models = data['models']
Para = {'f': 'Keras', 'm': 'VGG16'}
View = [('lab', 'Select the framework and the model'),
(list, frameworks, str, 'Framework', 'f', ''),
(list, models, str, 'Model', 'm', '')]
md = MyDialog(None, 'DeepClas4BioPy', self.pathAPI, self.python, View,
Para)
md.initView()
if md.ShowModal() == wx.ID_OK:
self.framework = md.para['f']
self.model = md.para['m']
md.Destroy()
return True
else:
md.Destroy()
return False
def show(self):
self.dialog = ScaleDialog(IPy.get_window(), self.title)
self.dialog.init_view(self.view, self.para)
self.dialog.set_handle(lambda x: self.preview(self.para))
return self.dialog.ShowModal()
def show(self):
self.dialog = Balance_Dialog(IPy.get_window(), self.title)
self.dialog.init_view(self.para, self.view, self.ips.img)
self.dialog.set_handle(lambda x:self.preview(self.para))
return self.dialog.ShowModal()
def show(self):
self.dialog = ThresholdDialog(IPy.get_window(), self.title)
hist = np.histogram(self.ips.lookup(), list(range(257)))[0]
self.dialog.init_view(self.view, self.para, hist)
self.dialog.set_handle(lambda x: self.preview(self.ips, self.para))
return self.dialog.ShowModal()