def encoding(self):
encode(self.fileLocation, self.encodeData, self.outputFileName)
messagebox.showinfo(
"Complete",
'Steganographier have encrypted the image successfully! The file is located at \n'
+ self.outputFileName)
self.lblProgramName['text'] = "Encryption Completed"
self.lblSelectText.lower(self.frame)
self.lblOutputFileName.lower(self.frame)
self.lblShowSelectInput.lower(self.frame)
self.btnNextProcess.lower(self.frame)
self.textOutputFileName.lower(self.frame)
originalImg = Image.open(self.fileLocation)
# resize the image and apply a high-quality down sampling filter
originalImg = originalImg.resize((210, 210), Image.ANTIALIAS)
# PhotoImage class is used to add image to widgets, icons etc
originalImg = ImageTk.PhotoImage(originalImg)
self.lblShowOriginal = tk.Label(self.root,
image=originalImg,
bg="white")
self.lblShowOriginal.image = originalImg
self.lblShowOriginal.place(relwidth=0.3,
relheight=0.3,
relx=0.15,
rely=0.35)
# opens the image
encryptImg = Image.open(self.outputFileName)
# resize the image and apply a high-quality down sampling filter
encryptImg = encryptImg.resize((210, 210), Image.ANTIALIAS)
# PhotoImage class is used to add image to widgets, icons etc
encryptImg = ImageTk.PhotoImage(encryptImg)
self.lblShowEncrypted = tk.Label(self.root,
image=encryptImg,
bg="white")
self.lblShowEncrypted.image = encryptImg
self.lblShowEncrypted.place(relwidth=0.3,
relheight=0.3,
relx=0.55,
rely=0.35)
self.lblOriginalText = tk.Label(text="Original Photo",
font=("Helvetica", 16),
bg="white")
self.lblOriginalText.place(relwidth=0.3,
relheight=0.08,
relx=0.15,
rely=0.65)
self.lblEncryptedText = tk.Label(text="Encrypted Photo",
font=("Helvetica", 16),
bg="white")
self.lblEncryptedText.place(relwidth=0.3,
relheight=0.08,
relx=0.55,
rely=0.65)
self.btnHome.lift(self.frame)
def save(self):
self.drawWindow.destroy()
filename = 'image.png' # image_number increments by 1 at every save
self.image1.save(filename)
img = Image.open(filename)
img = self.process_img(img)
idx = model.predict(img)
print(idx)
showImage = Image.open('letters/' + str(idx) + '.png')
showImage.show()
def reconfigure_button(self, http_session, btn, url, img_url):
global root
filename = get_filename(img_url)
dot_pos = filename.rfind('.')
filename = filename[:dot_pos]
bg_color = "green"
image = self.get_from_cache(filename)
if (image is None) or (len(image) == 0):
image = download_image(http_session, img_url)
self.put_to_cache(filename, image)
bg_color = "red"
if (image is None) or (len(image) == 0):
return
img = Image.open(io.BytesIO(image))
w, h = img.size
k = IMG_WIDTH / w
img_resized = img.resize((IMG_WIDTH, int(h * k)))
photo_image = ImageTk.PhotoImage(img_resized)
if photo_image is None:
return
root.after_idle(btn.set_values, url,
partial(self.load_page_in_thread, url), photo_image,
bg_color)
def item_selected(event):
selected = event.widget.selection()
for idx in selected:
nombreTabla = treeview.item(idx)['text']
nombreBaseDatos = treeview.item(idx)['tags'][0]
registros = Crud.extractTable(nombreBaseDatos, nombreTabla)
for i in treeRegs.get_children():
treeRegs.delete(i)
if registros:
columnas = len(registros[0])
t = []
for c in range(0, columnas):
t.append("Col_" + str(c))
treeRegs["columns"] = t
treeRegs.column("#0", width=0, minwidth=0, stretch=tk.NO)
for i in treeRegs["columns"]:
treeRegs.column(i, width=200, stretch=tk.NO)
treeRegs.heading(i, text=i.title(), anchor=tk.W)
mColor = 'par'
for reg in registros:
treeRegs.insert("", tk.END, values=reg, tags=(mColor, ))
if mColor == 'par': mColor = 'impar'
else: mColor = 'par'
url = str(pathlib.Path().absolute())
img = Image.open(url + "\\imagenes\\graficaArboles\\" + nombreTabla +
".png")
photo = ImageTk.PhotoImage(img)
lab = Label(image=photo).place(x=310, y=10)
update_idletasks()
def load_original_image(self):
response = requests.get(self.image_url,
proxies=self.proxies,
timeout=TIMEOUT)
if response.status_code == 404:
print("image_url response.status_code == 404")
return
self.original_image = response.content
# if DEBUG:
# with open(self.original_image_name, 'wb') as f:
# f.write(self.original_image)
self.put_to_cache(self.original_image_name, self.original_image)
bg_color = 'red'
self.resized = True
img = Image.open(io.BytesIO(self.original_image))
w, h = img.size
k = MAIN_IMG_WIDTH / w
img_resized = img.resize((MAIN_IMG_WIDTH, int(h * k)))
root.after_idle(root.title, f"{root.title()} ({w}x{h})")
self.main_image_orig = ImageTk.PhotoImage(img)
self.main_image = ImageTk.PhotoImage(img_resized)
root.after_idle(self.btn_image.config, {
'image': self.main_image,
'background': bg_color
})
def anonmeyes(imagepath, picture):
picture = os.path.join(imagepath, picture)
image = Image.open(picture)
data = list(image.getdata())
image_no_exif = Image.new(image.mode, image.size)
image_no_exif.putdata(data)
randomstring = str(uuid.uuid4())
filename = os.path.join(imagepath + '/cleaned', randomstring + '.png')
image_no_exif.save(filename)
prototxtPath = resource_path("deploy.prototxt")
weightsPath = resource_path("res10_300x300_ssd_iter_140000.caffemodel")
net = cv2.dnn.readNet(prototxtPath, weightsPath)
# load the input image from disk, clone it, and grab dimensions
image.close()
image = cv2.imread(filename)
orig = image.copy()
(h, w) = image.shape[:2]
# construct a blob from the image
blob = cv2.dnn.blobFromImage(image, 1.0, (300, 300), (104.0, 177.0, 123.0))
net.setInput(blob)
detections = net.forward()
# loop over the detections
for i in range(0, detections.shape[2]):
confidence = detections[0, 0, i, 2]
# filter out weak detections
if confidence > 0.3:
# compute the (x, y)-coordinates of the bounding box for the
# object
box = detections[0, 0, i, 3:7] * np.array([w, h, w, h])
(startX, startY, endX, endY) = box.astype("int")
# extract the face ROI
face = image[startY:endY, startX:endX]
face = anonymize_face_pixelate(face, blocks=12)
# store the blurred face in the output image
image[startY:endY, startX:endX] = face
os.remove(filename)
cv2.imwrite(filename, image)
loadfile = str(filename)
change_image(loadfile)
root.update()
return filename
def analog_drag(self):
# 刷新一下极验图片
element = self.driver.find_element_by_xpath(
'//a[@class="geetest_refresh_1"]')
element.click()
time.sleep(1)
# 保存两张图片
self.save_img('full.jpg', 'geetest_canvas_fullbg')
self.save_img('cut.jpg', 'geetest_canvas_bg')
full_image = Image.open('full.jpg')
cut_image = Image.open('cut.jpg')
#
# 根据两个图片计算距离
distance = self.get_offset_distance(cut_image, full_image)
# 开始移动
self.start_move(distance)
# 如果出现error
try:
WebDriverWait(self.driver, 5, 0.5).until(
EC.presence_of_element_located(
(By.XPATH,
'//div[@class="geetest_slider geetest_error"]')))
print("验证失败")
return
except TimeoutException as e:
pass
# 判断是否验证成功
try:
WebDriverWait(self.driver, 10, 0.5).until(
EC.presence_of_element_located(
(By.XPATH,
'//div[@class="geetest_slider geetest_success"]')))
except TimeoutException:
print("again times")
self.analog_drag()
else:
print("验证成功")
def get_prediction(img_path, threshold): img = Image.open(img_path) # Load the image transform = T.Compose([T.ToTensor()]) # Defing PyTorch Transform img = transform(img) # Apply the transform to the image pred = model([img]) # Pass the image to the model pred_class = [COCO_INSTANCE_CATEGORY_NAMES[i] for i in list(pred[0]['labels'].numpy())] # Get the Prediction Score pred_boxes = [[(i[0], i[1]), (i[2], i[3])] for i in list(pred[0]['boxes'].detach().numpy())] # Bounding boxes pred_score = list(pred[0]['scores'].detach().numpy()) pred_t = [pred_score.index(x) for x in pred_score if x > threshold][-1] # Get list of index with score greater than threshold. pred_boxes = pred_boxes[:pred_t+1] pred_class = pred_class[:pred_t+1] return pred_boxes, pred_class
def save_picture(form_picture):
random_hex = secrets.token_hex()
_, f_ext = os.path.splitext(form_picture.filename)
picture_fn = random_hex + f_ext
picture_path = os.path.join(app.root_path, 'static/profile_pics',
picture_fn)
output_size = (125, 125)
i = Image.open(form_picture)
i.thumbnail(output_size)
form_picture.save(picture_path)
return picture_fn
def main(self):
#Enabling the foreign key support
self.QUERY = "PRAGMA foreign_keys = ON"
self.cursor.execute(self.QUERY)
self.conn.commit()
#Setting the icon of the file
image = ImageTk.PhotoImage(Image.open('./logo.ico'))
self.root.iconphoto(False, image)
self.loginFrame()
self.root.mainloop()
def get_result(image_path):
new_model = load_model("covid_model.h5")
new_model.summary()
img_width, img_height = 224, 224
img = image.load_img(image_path, target_size=(img_width, img_height))
x = image.img_to_array(img)
img = np.expand_dims(x, axis=0)
pred = new_model.predict(img)
print(pred) # норм тут
print(np.argmax(pred, axis=1))
prediction = np.argmax(pred, axis=1)
im = Image.open(image_path)
resized = im.resize((350, 400), Image.ANTIALIAS)
resized.save("result.jpg")
print_on_image = ''
if prediction == 0:
print_on_image = 'Covid-19'
else:
print_on_image = 'Non_Covid-19'
image_cv = cv2.imread("result.jpg")
output = image_cv.copy()
cv2.putText(output, print_on_image, (10, 390), cv2.FONT_HERSHEY_SIMPLEX, 1,
(0, 0, 255), 3)
cv2.imwrite("result_name.jpg", output)
#gif1 = PhotoImage(file="result_name.gif")
#canvas.create_image(244, 244, image=gif1, anchor=NW)
new_image = Image.open("result_name.jpg")
tkimage = ImageTk.PhotoImage(new_image)
imag_e.config(image=tkimage)
imag_e.image = tkimage
imag_e.pack(side="bottom", fill="both", expand="yes")
def load_image(self):
try:
with opener.open(self.img_url) as f:
raw_data = f.read()
content = io.BytesIO(raw_data)
img = Image.open(content)
self.model_image = ImageTk.PhotoImage(img)
self.image_label.config(image=self.model_image)
except BaseException as e:
logger.exception(e)
self.master.update_idletasks()
self.master.after(DELAY, self.load_image)
def fetch_image(self):
global root
try:
response = self.http_session.get(self.img_url, timeout=TIMEOUT)
img = Image.open(io.BytesIO(response.content))
w, h = img.size
k = 200 / w
img_resized = img.resize((200, int(h * k)))
root.after_idle(self.update_image, img_resized)
except BaseException as error:
root.after_idle(self.set_undefined_state)
print("Exception URL: " + self.img_url)
print(error)
traceback.print_exc()
def getImageWithID(path):
imagePaths = [os.path.join(path, f) for f in os.listdir(path)]
# print(imagePaths) #in duong dan anh
faces = []
IDs = []
# chuyen doi anh thanh ma tran
for imagePath in imagePaths:
faceImg = Image.open(imagePath).convert('L')
faceNp = np.array(faceImg, 'uint8') #lay du lieu anh
print(faceNp) #in anh ve dang array
get_Id = int(imagePath.split('.')[1]) #lay du lieu ID
print("\ngetid=", get_Id)
faces.append(faceNp)
IDs.append(get_Id)
cv2.imshow('trainning', faceNp)
cv2.waitKey(10)
return faces, IDs
def save():
# global image_number
img_pkl_number = pickle.load(open("save.p", "rb"))
filename = f'img_{img_pkl_number}.bmp'
# save the file
image1.save(filename)
# resize the image based on the width (REQUIRED TO BE SQUARE)
basewidth = 28
img = Image.open(filename)
wpercent = (basewidth / float(img.size[0]))
hsize = int((float(img.size[1]) * float(wpercent)))
img = img.resize((basewidth, hsize), PIL.Image.ANTIALIAS)
img.save(filename)
img_pkl_number += 1
pickle.dump(img_pkl_number, open("save.p", "wb"))
# LINE ONLY TO KEEP IMAGES AT 0
restart()
def set_Image(self):
self.fileLocation = self.open_file()
if self.fileLocation:
# opens the image
img = Image.open(self.fileLocation)
# resize the image and apply a high-quality down sampling filter
img = img.resize((400, 400), Image.ANTIALIAS)
# PhotoImage class is used to add image to widgets, icons etc
img = ImageTk.PhotoImage(img)
# create a label
self.lblShowPanel = tk.Label(self.root, image=img, bg="white")
self.lblShowPanel.image = img
self.lblShowPanel.place(relwidth=0.6,
relheight=0.5,
relx=0.2,
rely=0.3)
self.lblProgramName['text'] = "Photo Selected"
self.lblSelectText.lower(self.frame)
self.btnNextProcess.lift(self.frame)
self.btnFileSelectInput.lower(self.frame)
def click():
filename = filedialog.askopenfilename(initialdir='/images/',
title='Searching',
filetypes=(("jpg files", "*.jpg"),
("png files", "*.png")))
path = filename
images = {}
for fname in glob.glob(path):
img = cv2.imread(fname)
avg_row = numpy.average(img, axis=0)
avg_color = numpy.uint8(numpy.average(avg_row, axis=0))
images[fname] = avg_color.tolist()
img = pd.DataFrame.from_dict(data=images, orient='index')
img.columns = ['blue', 'green', 'red']
print(img.head(), sum(images[fname]))
img = Image.open(filename)
width, height = img.size
img = img.resize((round(350 / height * width), round(350)))
tkimage = ImageTk.PhotoImage(img)
myvar = Label(root, image=tkimage)
myvar.image = tkimage
myvar.grid(row=2, column=0, columnspan=2, padx=10, pady=10)
if sum(images[fname]) >= 504 and sum(images[fname]) <= 512:
label_result = Label(root, text="Result : 500 MMK")
label_result.grid(row=3, column=0, columnspan=2, pady=20)
elif sum(images[fname]) >= 466 and sum(images[fname]) <= 498:
label_result = Label(root, text="Result : 1000 MMK")
label_result.grid(row=3, column=0, columnspan=2)
elif sum(images[fname]) >= 521 and sum(images[fname]) <= 582:
label_result = Label(root, text="Result : 5000 MMK")
label_result.grid(row=3, column=0, columnspan=2)
else:
label_result = Label(root, text="Not Found")
label_result.grid(row=3, column=0, columnspan=2)
def compute():
# load the "trained" NN weights and biases
weight_HL = 0
weight_OL = 0
bias_HL = 0
bias_OL = 0
weight_HL, weight_OL, bias_HL, bias_OL = pickle.load(
open("weights_bias.p", "rb"))
# load the image into a matrix
image_vector = []
img = Image.open(r'C:\Users\Josro\Documents\GitHub\IA_croquis' + '\\' +
'img_0.bmp')
gray = img.convert('L')
black_white = numpy.asarray(gray).copy()
single_array = numpy.concatenate(black_white, axis=None)
image_vector.append(single_array)
image_matrix = numpy.asarray(image_vector)
IHL, HLA, OCP, predicciones = feed_forward2(image_matrix, weight_HL,
weight_OL, bias_HL, bias_OL)
check = numpy.array(('arbol', 'casa', 'circulo', 'cuadrado', 'feliz',
'huevo', 'mickey', 'qmark', 'triste'))
predicciones = numpy.squeeze(predicciones)
solucion = numpy.stack((check, predicciones))
print(solucion.T)
def render_page(self, ident, html, http_session):
self.thumb_url = get_thumb(html)
if (self.thumb_url is None) or (len(self.thumb_url) == 0):
print("len(thumb_url) == 0")
return False
slash_pos = self.thumb_url.rfind('/')
self.thumb_prefix = self.thumb_url[:slash_pos + 1]
thumb_filename = self.thumb_url[slash_pos + 1:]
dot_pos = thumb_filename.rfind('.')
thumb_filename = thumb_filename[:dot_pos]
self.gallery_url = search('href="([^"]*)">More from gallery</a>', html)
self.reconfigure_prev_button(http_session, html)
self.reconfigure_next_button(http_session, html)
executor.submit(self.reconfigure_left_buttons, html)
executor.submit(self.reconfigure_right_buttons, html)
self.image_url = self.provider.get_image_url(html)
fname = get_filename(self.image_url)
dot_pos = fname.rfind('.')
self.original_image_name = fname[:dot_pos] + '_' + ident
self.original_image = self.get_from_cache(self.original_image_name)
bg_color = 'green'
self.resized = True
if (self.original_image is None) or (len(self.original_image) == 0):
self.original_image = self.get_from_cache(thumb_filename)
self.resized = False
if (self.original_image is None) or (len(self.original_image) == 0):
response = http_session.get(self.thumb_url,
proxies=self.proxies,
timeout=TIMEOUT)
if response.status_code == 404:
print("image_url response.status_code == 404")
return False
self.original_image = response.content
# if DEBUG:
# with open(self.original_image_name, 'wb') as f:
# f.write(self.original_image)
self.put_to_cache(thumb_filename, self.original_image)
bg_color = 'red'
self.resized = False
img = Image.open(io.BytesIO(self.original_image))
w, h = img.size
k = MAIN_IMG_WIDTH / w
img_resized = img.resize((MAIN_IMG_WIDTH, int(h * k)))
root.after_idle(root.title, f"{root.title()} ({w}x{h})")
self.main_image_orig = ImageTk.PhotoImage(img)
self.main_image = ImageTk.PhotoImage(img_resized)
photo_image = self.main_image if self.resized else self.main_image_orig
root.after_idle(self.btn_image.config, {
'image': photo_image,
'background': bg_color
})
if os.path.exists(os.path.join(OUTPUT, self.original_image_name)):
root.after_idle(self.btn_save.config, {'background': 'green'})
return True
DRIVER_PATH = 'C:\chromedriver\chromedriver.exe'
options = Options()
options.headless = True
options.add_argument("--window-size=1920,1200")
driver = webdriver.Chrome(options=options, executable_path=DRIVER_PATH)
#driver.get("https://www.nintendo.com/")
driver.get(
"https://www.juegosinfantilespum.com/laberintos-online/12-auto-buhos.php")
time.sleep(10)
element = driver.find_element_by_xpath(
"/html/body/div/div[1]/div[1]/div[1]/canvas")
element.click()
driver.set_window_size(639, 321) # May need manual adjustment 639,325
driver.find_element_by_tag_name('canvas').screenshot('web_screenshot.png')
driver.quit()
#os.getcwd()
img = Image.open("web_screenshot.png")
border = (7, 31, 0, 0) # left, up, right, bottom
newIMG = ImageOps.crop(img, border)
newIMG.save("nivel1.png")
newIMG.show()
remove(os.getcwd() + '\web_screenshot.png')
def GraficaBasesDatos():
url = str(pathlib.Path().absolute())
img = Image.open(url + "\\imagenes\\graficaArboles\\BBDD.png")
photo = ImageTk.PhotoImage(img)
lab = Label(image=photo).place(x=310, y=10)
update_idletasks()
#截图存放位置
screenImg="F:\cxl\script\0python_script\MeiCai\screenImg\screen.png"
#截图
driver.get_screenshot_as_file(r'F:\cxl\script\0python_script\MeiCai\screenImg\screen.png')
# 定位验证码位置及大小
location=driver.find_element_by_id('yw0').location
size=driver.find_element_by_id('yw0').size
left = location['x']
top = location['y']
right = location['x'] + size['width']
bottom = location['y'] + size['height']
# 从文件读取截图，截取验证码位置再次保存
img = Image.open(screenImg).crop((left, top, right, bottom))
#下面对图片做了一些处理，能更好识别一些，相关处理再百度看吧
img = img.convert('RGBA') # 转换模式：L | RGB
img = img.convert('L') # 转换模式：L | RGB
# img = ImageEnhance.Contrast(img) # 增强对比度
img = img.enhance(2.0) # 增加饱和度
img.save(screenImg)
# 再次读取识别验证码
img = Image.open(screenImg)
code = pytesseract.image_to_string(img)
#打印识别的验证码
#print(code.strip())
####
driver.quit()
miAplicacion = Tk()
miAplicacion.minsize(1200, 700)
miAplicacion.maxsize(1200, 700)
menubar = Menu(miAplicacion)
help = Menu(menubar, tearoff=0)
help.add_command(label="About", command=About)
help.add_separator()
help.add_command(label="Grafica Bases de Datos", command=GraficaBasesDatos)
help.add_separator()
help.add_command(label="Exit", command=miAplicacion.quit)
menubar.add_cascade(label="Help", menu=help)
miAplicacion.config(menu=menubar)
treeview = ttk.Treeview(selectmode=tk.BROWSE)
treeview.place(x=10, y=10)
treeview.heading("#0", text="TytusDB - Modo AVL")
treeview.tag_bind("mytag", "<<TreeviewSelect>>", item_selected)
treeRegs = ttk.Treeview(selectmode=tk.BROWSE)
treeRegs.place(x=10, y=410)
treeRegs.tag_configure('par', background='white', foreground='black')
treeRegs.tag_configure('impar', background='black', foreground='white')
img = Image.open("imgTytus.png")
photo = ImageTk.PhotoImage(img)
lab = Label(image=photo).place(x=310, y=10)
CargarDatos()
miAplicacion.mainloop()
from tkinter import Image
from PIL import Image, ImageFilter
import numpy as np
from matplotlib import pyplot as plt
from PIL import Image
import sys
img = Image.open("Foto/foto.png")
img = img.convert("RGBA")
from PIL import Image
imagePath = "Foto/foto.png"
#newImagePath = 'A:\ex2.jpg'
im = Image.open(imagePath)
def redOrBlack (im):
newimdata = []
redcolor = (0, 0, 0)
redcolor1 = (105, 105, 105)
blackcolor = (255,0,0)
for color in im.getdata():
if color >= redcolor or color <= redcolor1:
newimdata.append( (0,125,0) )
else:
newimdata.append( color)
newim = Image.new(im.mode,im.size)
newim.putdata(newimdata)
return newim
#all the imports
from tkinter import Tk,TRUE,FALSE,Label,Frame,Button,COMMAND,Image,mainloop,PhotoImage,FLAT,TOP,LEFT,BOTH
from base import export_func,import_func,run_func
from PIL import Image
from PIL import ImageTk
main=Tk()
#title
main.title("Filent")
main.geometry("700x400")
#icon
mainicon=Image.open('icon.png')
mainicon=mainicon.resize((94,94))
mainicon=ImageTk.PhotoImage(mainicon)
main.iconphoto(False,mainicon)
#background
image = Image.open('image.png')
image = image.resize((3840,2160))
img = ImageTk.PhotoImage(image)
mainframe=Label(image=img)
#button images
import_image=Image.open("import.png")
import_image=ImageTk.PhotoImage(import_image)
export_image=Image.open("export.png")
export_image=ImageTk.PhotoImage(export_image)
def canvas():
global win
global frame
global x
global y
global x_vel
global y_vel
global a
global b
global a_vel
global b_vel
global m
global n
global m_vel
global n_vel
global r
global s
global r_vel
global s_vel
def move():
# get random move for the bubbles
x_vel = random.randint(-5, 5)
y_vel = -5
a_vel = random.randint(-7, 4)
b_vel = -7
m_vel = random.randint(-6, 5)
n_vel = -2
r_vel = random.randint(-4, 4)
s_vel = -5
canvas1.move(circle, x_vel, y_vel)
canvas1.move(circle2, a_vel, b_vel)
canvas1.move(circle3, m_vel, n_vel)
canvas1.move(circle4, r_vel, s_vel)
coordinates = canvas1.coords(circle)
x = coordinates[0]
y = coordinates[1]
a = coordinates[0]
b = coordinates[1]
m = coordinates[0]
n = coordinates[1]
r = coordinates[0]
s = coordinates[1]
# if outside screen move to start position
if y < -height:
x = start_x
y = start_y
canvas1.coords(circle, x, y, x + width, y + height)
#window.after(33, move)
if b < -height:
a = start_a
b = start_b
canvas1.coords(circle2, a, b, a + width2, b + height2)
if s < -height:
r = start_r
s = start_s
canvas1.coords(circle4, r, s, r + width4, s + height4)
if n < -height:
m = start_m
n = start_n
canvas1.coords(circle3, m, n, m + width3, n + height3)
frame.after(30, move)
# make bubbles start at different positions
start_x = 170
start_y = 140
start_a = 230
start_b = 140
start_m = 290
start_n = 140
start_r = 300
start_s = 140
x = start_x
y = start_y
a = start_a
b = start_b
m = start_m
n = start_n
r = start_r
s = start_s
# create different sized bubbles
width = 20
height = 20
width2 = 29
height2 = 29
width3 = 15
height3 = 15
width4 = 30
height4 = 30
x_vel = 5
y_vel = 5
a_vel = 5
b_vel = 5
m_vel = 5
n_vel = 5
r_vel = 5
s_vel = 5
if (frame != None):
frame.destroy()
frame = Frame(win)
#canvas
canvas1 = tk.Canvas(frame, height=1000, width=1000)
canvas1.grid(row=0, column=0, sticky='w')
coord = [x, y, x + width, y + height]
circle = canvas1.create_oval(coord,
outline="light blue",
fill="light blue")
coord = [a, b, a + width2, b + height2]
circle2 = canvas1.create_oval(coord, outline="cyan", fill="cyan")
coord = [m, n, m + width3, n + height3]
circle3 = canvas1.create_oval(coord,
outline="DarkSlateGray1",
fill="darkslategray1")
coord = [r, s, r + width4, s + height4]
circle4 = canvas1.create_oval(coord,
outline="paleturquoise",
fill="paleturquoise")
coord = [x, y, x + 160, y + 10]
rect2 = canvas1.create_rectangle(coord,
outline="goldenrod",
fill="goldenrod")
coord = [150, 40, 170, 320]
rect = canvas1.create_rectangle(coord, outline="Black", fill="Black")
coord = [330, 40, 350, 310]
rect1 = canvas1.create_rectangle(coord, outline="Black", fill="black")
coord = [130, 310, 370, 320]
rect2 = canvas1.create_rectangle(coord, outline="Blue", fill="Blue")
coord = [230, 270, 270, 310]
rect3 = canvas1.create_rectangle(coord, outline="purple", fill="purple")
# reseize image using PILLOW library
load = Image.open('flame1.png')
load = load.resize((17, 27), Image.ANTIALIAS)
render = ImageTk.PhotoImage(load)
# position image
img = Label(image=render)
img.image = render
img.place(x=240, y=240)
# reseize image
load1 = Image.open('termo.png')
load1 = load1.resize((17, 170), Image.ANTIALIAS)
render1 = ImageTk.PhotoImage(load1)
# position image
img1 = Label(image=render1)
img1.image = render1
img1.place(x=240, y=10)
btnHome = Button(frame,
text="Home",
command=createMainMenuGUI,
height=2,
width=8,
fg="black",
bg="green4",
font=("Comic Sans MS", 10))
btnHome.place(x=320, y=330)
btnAnswer = Button(frame,
text="ANSWER",
command=answerGUI,
height=2,
width=8,
fg="black",
bg="green4",
font=("Comic Sans MS", 10))
btnAnswer.place(x=320, y=370)
#top left x and y coordinates and bottom right x and y coordinates
coord = [200, 150, 210, 240]
rect4 = canvas1.create_rectangle(coord, outline="gray30", fill="gray30")
coord = [210, 230, 300, 240]
rect4 = canvas1.create_rectangle(coord, outline="gray30", fill="gray30")
coord = [290, 150, 300, 240]
rect4 = canvas1.create_rectangle(coord, outline="gray30", fill="gray30")
coord = [240, 20, 260, 180]
rect4 = canvas1.create_rectangle(coord, outline="Pink", fill="pink")
move()
frame.pack()
label_ids = {}
for root, dirs, files in os.walk(img_dir):
for file in files:
if file.endswith("png") or file.endswith("jpeg") or file.endswith(
"jpg"):
path = os.path.join(root, file)
label = os.path.basename(root).replace(" ", "_").lower()
#print(label,path)
if not label in label_ids:
label_ids[label] = current_id
current_id = current_id + 1
id_ = label_ids[label]
#print(label_ids)
pil_image = Image.open(path).convert("L")
size = (550, 550)
final_image = pil_image.resize(size, Image.ANTIALIAS)
image_array = np.array(final_image, "uint8")
#print(image_array)
faces = face_cascade.detectMultiScale(image_array,
scaleFactor=1.15,
minNeighbors=5)
for (x, y, w, h) in faces:
roi = image_array[y:y + h, x:x + w]
x_train.append(roi)
y_label.append(id_)
#print(y_label)
#print(x_train)
from tkinter import Image
from selenium import webdriver
from selenium.webdriver import ActionChains
from selenium.webdriver.support.ui import Select
driver = webdriver.Chrome(
executable_path=
"C://Users//Nani Madhan//Downloads//chromedriver_win32//chromedriver.exe")
driver.get("https://www.testandquiz.com/selenium/testing.html")
driver.maximize_window()
driver.implicitly_wait(3)
select = Select(
driver.find_element_by_xpath('/html/body/div/div[9]/div/p/select'))
# select by visible text
# select.select_by_visible_text('Manual Testing')
# select by value
#select.select_by_value('3')
select.select_by_index('2')
driver.save_screenshot("image.png")
image = Image.open("image.png")
image.show()
parser.add_argument("-t", "--thread", help="enter number of thread ", type=int)
parser.add_argument("--G", help="Graphical Interface ")
args = parser.parse_args()
# For Graphical Interface ::::
if (args.G):
root = tk.Tk()
root.geometry('700x400')
root.title("Dos Attack")
root.configure(bg='black')
# Images ::::::::
img = ImageTk.PhotoImage(Image.open('hck5.jpg'))
panel = Label(root, image=img)
one_btn = Label(root, image=img)
one_btn.grid(row=0, column=0)
img2 = ImageTk.PhotoImage(Image.open('dosimg2.jpg'))
panel1 = Label(root, image=img2)
one_btn1 = Label(root, image=img2)
one_btn1.grid(row=0, column=1, columnspan=3)
# Labeles :::::::
website_label = ttk.Label(root, text="Enter Web site : ")
website_label.grid(row=1, column=0, padx=8, pady=8, sticky=tk.W)
def get_image(self, filename, width, height):
im = Image.open(filename).size(width, height)
return ImageTk.PhotoImage(im)