def __init__(self, bor):
# self.currnet_idx = 16
self.currnet_idx = 19
texte = text.Text(bor)
texte.set_text(10, 1, "XD XD XD XD")
self.effects = [
texte, # 0
pixels.Pixels(bor), # 1
rainbow.Rainbow(bor), # 2
sinrainbow2.SinRainbow2(bor), # 3
sinrainbow.SinRainbow(bor), # 4
# tetris.Tetris(10, 10),
metaballs.Metaballs(bor), # 5
disco.Disco(), # 6
pulsingcolor.PulsingColor(Color.blue()), # 7
xdcolor.XDColor(Color.red()), # 8
xdcolor.XDColor(Color.green()), # 9
xdcolor.XDColor(Color.blue()), # 10
solidcolor.SolidColor(Color.black()), # 11
droplet.Droplet(bor), # 12
paint.Paint(bor), # 13
tennis.Tennis(bor), # 14
rays.Rays(bor), # 15
plasma.Plasma(bor), # 16
#GifPlayer('/home/pi/xD-Table-Py/effects/gifplayer/gifs/fireplace_smol.gif'), # 17
GifPlayer(
'/home/pi/xD-Table-Py/effects/gifplayer/gifs/fireplace_doniel.gif'
), # 17
rainbow_slow.RainbowSlow(bor), # 18
kibana.Heatmap(), # 19
]
def begin_masking():
# Run process for DIR selection and required functions
ImageOperations = paint.Paint()
FileOperations = fileOperations.FileOperations.Directory()
input_extension = select_export_extension_combo.get()
print("Selected input extension: {}".format(input_extension))
FileOperations.list_all_files(extension=input_extension)
all_images = FileOperations.count_files()
for image in FileOperations.provide_files():
original = FileOperations.open_image()
name_of_current_file = FileOperations.all_flies_in_dir[FileOperations.current_file][2]
mask = ImageOperations.execute_paint(original=original, current_name=name_of_current_file)
if invert:
mask = ImageOperations.invert_mask_colors()
if grayscale:
mask = ImageOperations.grayscale_mask_colors()
if not ImageOperations.skip:
# Do save skip
save_extension = ".png"
if save_in_tiff:
save_extension = ".tiff"
else:
save_extension = ".png"
FileOperations.save_image(img=mask, save_extension=save_extension)
else:
FileOperations.current_file = FileOperations.current_file + 1
if ImageOperations.end_after_this:
break
self.isClientConnected = False
def send_data(self, data):
if self.isClientConnected:
self.udp_socket.sendto(json.dumps(data).encode(), (self.HOST, self.PORT))
def receive_data(self, size=1073741824):
if not self.isClientConnected:
return ""
else:
while True:
data, addr = self.udp_socket.recvfrom(size)
if data:
return json.loads(data)
def receive_history(self, size=1073741824):
if not self.isClientConnected:
return ""
else:
while True:
data = self.tcp_socket.recv(size)
if data:
self.history = json.loads(data)
else:
break
if __name__ == '__main__':
client = Client()
client.connect()
paint = paint.Paint(client)
'''
Driver program for detection of hand written digits.
Draw your digits in real time and hit the 'go' button to see the prediction.
Model trained using the MNIST dataset
'''
import paint
import numpy as np
from keras.models import Sequential
from keras.layers import Dense
from keras.models import model_from_json
import pandas as pd
import os
json_file = open('model.json', 'r')
loaded_model_json = json_file.read()
json_file.close()
model = model_from_json(loaded_model_json)
model.load_weights("model.h5")
model.compile(loss='categorical_crossentropy',
optimizer='adam',
metrics=['accuracy'])
p = paint.Paint(model)
i = ImageTk.PhotoImage(i)
#substitui a imagem no tk
painel.configure(image=i)
painel.i = i
def salvar(event):
print("oi")
if event.char == 's':
tkFileDialog.askopenfilename()
img = paint.img
cv2.imwrite(path, img)
paint = paintarq.Paint()
#ferramentas = ferramentas.Ferramentas()
paint.inicializacaoPainelDesenho()
root = Tk()
chamarPainel(paint.img)
painel.bind('<Button-1>', motion)
painel.bind('<B1-Motion>', motion2)
painel.bind('<B3-Motion>', borracha)
root.bind('<Key>', salvar)
cores.Cores(root)
ferramentas = ferramentasarq.Ferramentas(root)
root.mainloop()