def show(self, ctx):
# Add a layer to the MLP
bimpy.push_item_width(80)
bimpy.input_int("nr neurons", self.ui.nr_neurons)
bimpy.same_line()
bimpy.combo("transfer", self.ui.transfer, self.ui.transfer_names)
if (self.ui.nr_neurons.value > 0):
bimpy.same_line()
if (bimpy.button("add layer")):
transfer = self.ui.transfer_names[self.ui.transfer.value]
self.model.add_layer(transfer, self.ui.nr_neurons.value)
bimpy.pop_item_width()
self.model.show(ctx)
show_io_plot(self.ui.input, self.model)
def render(self, is_lock):
bimpy.set_next_tree_node_open(True, bimpy.Condition.FirstUseEver)
if not bimpy.tree_node('trainning##train_component'):
return
flags = bimpy.InputTextFlags.EnterReturnsTrue
if is_lock:
flags |= bimpy.InputTextFlags.ReadOnly
bimpy.push_item_width(120)
if bimpy.input_int('epoch##train_component',
self._epoch,
0,
0,
flags=flags):
self._epoch.value = max(1, self._epoch.value)
if bimpy.input_int('batch_size##train_component',
self._batch_size,
0,
0,
flags=flags):
self._batch_size.value = max(1, self._batch_size.value)
if bimpy.input_int('batch_per_epoch##train_component',
self._batch_per_epoch,
0,
0,
flags=flags):
self._batch_per_epoch.value = max(1, self._batch_per_epoch.value)
if bimpy.input_int('valid_size##train_component',
self._valid_size,
0,
0,
flags=flags):
self._valid_size.value = max(0, self._valid_size.value)
bimpy.pop_item_width()
bimpy.tree_pop()
def render(self, is_lock):
bimpy.set_next_tree_node_open(True, bimpy.Condition.FirstUseEver)
if not bimpy.tree_node('convex points##convex_component'):
return
bimpy.same_line()
bimpy_tools.help_marker('Convex points should be presented in counter-clockwise order')
flags = bimpy.InputTextFlags.EnterReturnsTrue
if is_lock:
flags |= bimpy.InputTextFlags.ReadOnly
last_convex_number_value = self._convex_number.value
if bimpy.input_int('number##convex_component', self._convex_number, 1, 1, flags):
self._convex_number.value = max(3, self._convex_number.value)
if last_convex_number_value > self._convex_number.value:
self._convex_data = self._convex_data[:self._convex_number.value] # cut back points
else:
self._convex_data.extend([
[bimpy.Float(0), bimpy.Float(0)]
for _ in range(last_convex_number_value, self._convex_number.value)
])
# show convex value setting
bimpy.set_next_tree_node_open(self._convex_number.value < 10, bimpy.Condition.FirstUseEver)
if bimpy.tree_node('convex value ({})##convex_component'.format(self._convex_number.value)):
for index in range(self._convex_number.value):
bimpy.push_item_width(210)
bimpy.input_float2(
'{:<3d}'.format(index),
self._convex_data[index][0],
self._convex_data[index][1],
flags=flags
)
bimpy.pop_item_width()
bimpy.tree_pop()
# draw part
bimpy.new_line()
if bimpy.button('draw convex##convex_component') and not is_lock:
self._convex_data_backup = [[item[0].value, item[1].value]
for item in self._convex_data]
self._convex_draw_flag = True
self._convex_data = []
self._convex_number.value = 0
bimpy.tree_pop()
def render_widget(self):
if bimpy.input_int(self.bimpy_name, self._bimpy_value):
self._value = int(self._bimpy_value.value)
bimpy.add_circle_filled(point * m + center, 5,
0xAF000000 + colors[i], 100)
axis_ = np.matmul(axis, S * 2.0)
axis_ = np.matmul(axis_, R) + P
bimpy.add_line(center + bimpy.Vec2(axis_[0, 0], axis_[0, 1]) * m,
center + bimpy.Vec2(axis_[1, 0], axis_[1, 1]) * m,
0xFFFF0000, 1)
bimpy.add_line(center + bimpy.Vec2(axis_[2, 0], axis_[2, 1]) * m,
center + bimpy.Vec2(axis_[3, 0], axis_[3, 1]) * m,
0xFFFF0000, 1)
bimpy.end()
bimpy.set_next_window_pos(bimpy.Vec2(20, 640), bimpy.Condition.Once)
bimpy.set_next_window_size(bimpy.Vec2(800, 140), bimpy.Condition.Once)
bimpy.begin("Controls")
bimpy.input_int("Data points count", DATA_POINTS)
bimpy.input_int("Clasters count", CLASTERS)
bimpy.slider_float("std", std, 0.0, 3.0)
if bimpy.button("Generate data"):
generate_fake_data()
bimpy.end()
ctx.render()
acquisition = util.Iterator(currentBoard)
acquisition.start()
except:
print('acquisition problem ! Please try again.')
currentBoard.exit()
time.sleep(3)
ctx = bimpy.Context()
ctx.init(470, 300, "")
while(not ctx.should_close()):
ctx.new_frame()
if bimpy.begin("Arduino Controller", flags=(bimpy.WindowFlags.NoSavedSettings | bimpy.WindowFlags.NoMove | bimpy.WindowFlags.NoResize | bimpy.WindowFlags.AlwaysAutoResize | bimpy.WindowFlags.NoCollapse)):
bimpy.push_style_var(bimpy.Style.WindowRounding, 0)
bimpy.push_style_var(bimpy.Style.FrameRounding, 12)
bimpy.push_style_var(bimpy.Style.Alpha, 255)
bimpy.input_int("LED Pin (digital)",pinNumber,1)
if (pinNumber.value < 2):
pinNumber = bimpy.Int(2)
if (pinNumber.value > 13):
pinNumber = bimpy.Int(13)
if (minPWM.value > 255):
minPWM = bimpy.Int(255)
if (minPWM.value < 0):
minPWM = bimpy.Int(0)
if (maxPWM.value > 255):
maxPWM = bimpy.Int(255)
if (maxPWM.value < 1):
maxPWM = bimpy.Int(1)
if (minPWM.value > maxPWM.value):
minPWM = bimpy.Int(maxPWM.value)
bimpy.input_float('Light interval (seconds)', maxInterval, 0.100000000000000)
nom3 = nom2 + ("%d" % i)
capture_RealSense(nom3)
i = i + 1
data = 55
ser.write([data])
out = ser.read()
while not ctx.should_close():
ctx.new_frame()
bimpy.set_next_window_pos(bimpy.Vec2(0, 0), bimpy.Condition.Once)
bimpy.set_next_window_size(bimpy.Vec2(800, 400), bimpy.Condition.Once)
bimpy.begin("Controls")
bimpy.input_int("Hauteur de la cible en mm", taille_cible)
bimpy.input_int("Largeur de la cible en mm", largeur_cible)
bimpy.input_text("Nom du fichier", stri, 15)
if bimpy.button("Visualisation"):
print("La touche Q permet de quitter l'application de visualisation")
print("La touche R permet une remise a zero de la visualisation")
print(
"La touche P permet de mettre en pause l'application de visualisation"
)
print("La touche F permet d'activer ou de desactive le post-prcessing")
print("La touche D permet de reduire la qualite de prise de la camera")
pyglet.app.run()
def render(self, is_lock):
bimpy.set_next_tree_node_open(True, bimpy.Condition.FirstUseEver)
if not bimpy.tree_node('lines##lines_component'):
return
# number setting
flags = bimpy.InputTextFlags.EnterReturnsTrue
if is_lock:
flags |= bimpy.InputTextFlags.ReadOnly
if bimpy.input_int('number##lines_component', self._line_number, 1, 1, flags):
self._line_number.value = max(3, self._line_number.value)
if self._last_line_number_value > self._line_number.value:
self._line_data = self._line_data[:self._line_number.value] # cut back points
else:
self._line_data.extend([
[bimpy.Float(0), bimpy.Float(0), bimpy.Float(0)]
for _ in range(self._last_line_number_value, self._line_number.value)
])
self._last_line_number_value = self._line_number.value
# print('line number change to {}'.format(self._line_number.value))
# show line value setting
bimpy.set_next_tree_node_open(self._line_number.value < 10, bimpy.Condition.FirstUseEver)
self._highlight_line_index = None
if bimpy.tree_node('line value ({})'.format(self._line_number.value)):
for index in range(self._line_number.value):
bimpy.push_item_width(210)
bimpy.input_float3(
'{:<3d}'.format(index),
self._line_data[index][0],
self._line_data[index][1],
self._line_data[index][2],
flags=flags
)
bimpy.pop_item_width()
if bimpy.is_item_hovered():
self._highlight_line_index = index
bimpy.same_line()
if bimpy.button('rev##lines_component{}'.format(index)) and not is_lock:
for j in range(3):
self._line_data[index][j].value = -self._line_data[index][j].value
if bimpy.is_item_hovered():
self._highlight_line_index = index
bimpy.same_line()
if bimpy.button('draw##lines_component{}'.format(index)) and not is_lock:
self._waitting_draw_line_index = index
bimpy.set_window_focus('canvas window##canvas')
if bimpy.is_item_hovered():
self._highlight_line_index = index
bimpy.tree_pop()
# random setting
bimpy.new_line()
if bimpy.button('random##lines_component') and not is_lock:
initializer = self.initializer_component.build_initializer()
random_lines = initializer.random(self._line_number.value)
for index in range(self._line_number.value):
self._line_data[index][0].value = random_lines[index].a
self._line_data[index][1].value = random_lines[index].b
self._line_data[index][2].value = random_lines[index].c
self.initializer_component.render(is_lock)
bimpy.tree_pop()