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#!/usr/bin/env python3
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import platform
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import signal
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import sys
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import time
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import shutil
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import glob
import argparse
import multiprocessing as mp
import os
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import torch
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from pathlib import Path
import tkinter as tk
from tkinter import filedialog
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from opennsfw2 import predict_video_frames , predict_image
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from tkinter . filedialog import asksaveasfilename
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import webbrowser
import psutil
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import cv2
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import threading
from PIL import Image , ImageTk
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import core . globals
from core . processor import process_video , process_img
from core . utils import is_img , detect_fps , set_fps , create_video , add_audio , extract_frames , rreplace
from core . config import get_face
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if ' ROCMExecutionProvider ' in core . globals . providers :
del torch
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pool = None
args = { }
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signal . signal ( signal . SIGINT , lambda signal_number , frame : quit ( ) )
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parser = argparse . ArgumentParser ( )
parser . add_argument ( ' -f ' , ' --face ' , help = ' use this face ' , dest = ' source_img ' )
parser . add_argument ( ' -t ' , ' --target ' , help = ' replace this face ' , dest = ' target_path ' )
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parser . add_argument ( ' -o ' , ' --output ' , help = ' save output to this file ' , dest = ' output_file ' )
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parser . add_argument ( ' --gpu ' , help = ' use gpu ' , dest = ' gpu ' , action = ' store_true ' , default = False )
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parser . add_argument ( ' --keep-fps ' , help = ' maintain original fps ' , dest = ' keep_fps ' , action = ' store_true ' , default = False )
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parser . add_argument ( ' --keep-frames ' , help = ' keep frames directory ' , dest = ' keep_frames ' , action = ' store_true ' , default = False )
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parser . add_argument ( ' --max-memory ' , help = ' maximum amount of RAM in GB to be used ' , type = int )
parser . add_argument ( ' --max-cores ' , help = ' number of cores to be use for CPU mode ' , dest = ' cores_count ' , type = int , default = max ( psutil . cpu_count ( ) - 2 , 2 ) )
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for name , value in vars ( parser . parse_args ( ) ) . items ( ) :
args [ name ] = value
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sep = " / "
if os . name == " nt " :
sep = " \\ "
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def limit_resources ( ) :
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if args [ ' max_memory ' ] :
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memory = args [ ' max_memory ' ] * 1024 * 1024 * 1024
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if str ( platform . system ( ) ) . lower ( ) == ' windows ' :
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import ctypes
kernel32 = ctypes . windll . kernel32
kernel32 . SetProcessWorkingSetSize ( - 1 , ctypes . c_size_t ( memory ) , ctypes . c_size_t ( memory ) )
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else :
import resource
resource . setrlimit ( resource . RLIMIT_DATA , ( memory , memory ) )
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def pre_check ( ) :
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if sys . version_info < ( 3 , 8 ) :
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quit ( ' Python version is not supported - please upgrade to 3.8 or higher ' )
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if not shutil . which ( ' ffmpeg ' ) :
quit ( ' ffmpeg is not installed! ' )
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model_path = os . path . join ( os . path . abspath ( os . path . dirname ( __file__ ) ) , ' inswapper_128.onnx ' )
if not os . path . isfile ( model_path ) :
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quit ( ' File " inswapper_128.onnx " does not exist! ' )
if ' --gpu ' in sys . argv :
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if ' ROCMExecutionProvider ' not in core . globals . providers :
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CUDA_VERSION = torch . version . cuda
CUDNN_VERSION = torch . backends . cudnn . version ( )
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if not torch . cuda . is_available ( ) or not CUDA_VERSION :
quit ( " You are using --gpu flag but CUDA isn ' t available or properly installed on your system. " )
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if CUDA_VERSION > ' 11.8 ' :
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quit ( f " CUDA version { CUDA_VERSION } is not supported - please downgrade to 11.8 " )
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if CUDA_VERSION < ' 11.4 ' :
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quit ( f " CUDA version { CUDA_VERSION } is not supported - please upgrade to 11.8 " )
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if CUDNN_VERSION < 8220 :
quit ( f " CUDNN version { CUDNN_VERSION } is not supported - please upgrade to 8.9.1 " )
if CUDNN_VERSION > 8910 :
quit ( f " CUDNN version { CUDNN_VERSION } is not supported - please downgrade to 8.9.1 " )
else :
core . globals . providers = [ ' CPUExecutionProvider ' ]
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def start_processing ( ) :
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start_time = time . time ( )
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if args [ ' gpu ' ] :
process_video ( args [ ' source_img ' ] , args [ " frame_paths " ] )
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end_time = time . time ( )
print ( flush = True )
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print ( f " Processing time: { end_time - start_time : .2f } seconds " , flush = True )
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return
frame_paths = args [ " frame_paths " ]
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n = len ( frame_paths ) / / ( args [ ' cores_count ' ] )
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processes = [ ]
for i in range ( 0 , len ( frame_paths ) , n ) :
p = pool . apply_async ( process_video , args = ( args [ ' source_img ' ] , frame_paths [ i : i + n ] , ) )
processes . append ( p )
for p in processes :
p . get ( )
pool . close ( )
pool . join ( )
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end_time = time . time ( )
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print ( flush = True )
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print ( f " Processing time: { end_time - start_time : .2f } seconds " , flush = True )
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def preview_image ( image_path ) :
img = Image . open ( image_path )
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img = img . resize ( ( 180 , 180 ) , Image . ANTIALIAS )
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photo_img = ImageTk . PhotoImage ( img )
left_frame = tk . Frame ( window )
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left_frame . place ( x = 60 , y = 100 )
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img_label = tk . Label ( left_frame , image = photo_img )
img_label . image = photo_img
img_label . pack ( )
def preview_video ( video_path ) :
cap = cv2 . VideoCapture ( video_path )
if not cap . isOpened ( ) :
print ( " Error opening video file " )
return
ret , frame = cap . read ( )
if ret :
frame = cv2 . cvtColor ( frame , cv2 . COLOR_BGR2RGB )
img = Image . fromarray ( frame )
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img = img . resize ( ( 180 , 180 ) , Image . ANTIALIAS )
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photo_img = ImageTk . PhotoImage ( img )
right_frame = tk . Frame ( window )
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right_frame . place ( x = 360 , y = 100 )
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img_label = tk . Label ( right_frame , image = photo_img )
img_label . image = photo_img
img_label . pack ( )
cap . release ( )
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def select_face ( ) :
args [ ' source_img ' ] = filedialog . askopenfilename ( title = " Select a face " )
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preview_image ( args [ ' source_img ' ] )
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def select_target ( ) :
args [ ' target_path ' ] = filedialog . askopenfilename ( title = " Select a target " )
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threading . Thread ( target = preview_video , args = ( args [ ' target_path ' ] , ) ) . start ( )
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def toggle_fps_limit ( ) :
args [ ' keep_fps ' ] = limit_fps . get ( ) != True
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def toggle_keep_frames ( ) :
args [ ' keep_frames ' ] = keep_frames . get ( ) != True
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def save_file ( ) :
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filename , ext = ' output.mp4 ' , ' .mp4 '
if is_img ( args [ ' target_path ' ] ) :
filename , ext = ' output.png ' , ' .png '
args [ ' output_file ' ] = asksaveasfilename ( initialfile = filename , defaultextension = ext , filetypes = [ ( " All Files " , " *.* " ) , ( " Videos " , " *.mp4 " ) ] )
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def status ( string ) :
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if ' cli_mode ' in args :
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print ( " Status: " + string )
else :
status_label [ " text " ] = " Status: " + string
window . update ( )
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def start ( ) :
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print ( " DON ' T WORRY. IT ' S NOT STUCK/CRASHED. \n " * 5 )
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if not args [ ' source_img ' ] or not os . path . isfile ( args [ ' source_img ' ] ) :
print ( " \n [WARNING] Please select an image containing a face. " )
return
elif not args [ ' target_path ' ] or not os . path . isfile ( args [ ' target_path ' ] ) :
print ( " \n [WARNING] Please select a video/image to swap face in. " )
return
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if not args [ ' output_file ' ] :
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target_path = args [ ' target_path ' ]
args [ ' output_file ' ] = rreplace ( target_path , " / " , " /swapped- " , 1 ) if " / " in target_path else " swapped- " + target_path
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global pool
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pool = mp . Pool ( args [ ' cores_count ' ] )
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target_path = args [ ' target_path ' ]
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test_face = get_face ( cv2 . imread ( args [ ' source_img ' ] ) )
if not test_face :
print ( " \n [WARNING] No face detected in source image. Please try with another one. \n " )
return
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if is_img ( target_path ) :
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if predict_image ( target_path ) > 0.7 :
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quit ( )
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process_img ( args [ ' source_img ' ] , target_path , args [ ' output_file ' ] )
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status ( " swap successful! " )
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return
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seconds , probabilities = predict_video_frames ( video_path = args [ ' target_path ' ] , frame_interval = 50 )
if any ( probability > 0.7 for probability in probabilities ) :
quit ( )
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video_name_full = target_path . split ( " / " ) [ - 1 ]
video_name = os . path . splitext ( video_name_full ) [ 0 ]
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output_dir = os . path . dirname ( target_path ) + " / " + video_name
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Path ( output_dir ) . mkdir ( exist_ok = True )
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status ( " detecting video ' s FPS... " )
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fps , exact_fps = detect_fps ( target_path )
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if not args [ ' keep_fps ' ] and fps > 30 :
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this_path = output_dir + " / " + video_name + " .mp4 "
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set_fps ( target_path , this_path , 30 )
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target_path , exact_fps = this_path , 30
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else :
shutil . copy ( target_path , output_dir )
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status ( " extracting frames... " )
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extract_frames ( target_path , output_dir )
args [ ' frame_paths ' ] = tuple ( sorted (
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glob . glob ( output_dir + " /*.png " ) ,
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key = lambda x : int ( x . split ( sep ) [ - 1 ] . replace ( " .png " , " " ) )
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) )
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status ( " swapping in progress... " )
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start_processing ( )
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status ( " creating video... " )
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create_video ( video_name , exact_fps , output_dir )
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status ( " adding audio... " )
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add_audio ( output_dir , target_path , video_name_full , args [ ' keep_frames ' ] , args [ ' output_file ' ] )
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save_path = args [ ' output_file ' ] if args [ ' output_file ' ] else output_dir + " / " + video_name + " .mp4 "
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print ( " \n \n Video saved as: " , save_path , " \n \n " )
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status ( " swap successful! " )
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if __name__ == " __main__ " :
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global status_label , window
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pre_check ( )
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limit_resources ( )
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if args [ ' source_img ' ] :
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args [ ' cli_mode ' ] = True
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start ( )
quit ( )
window = tk . Tk ( )
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window . geometry ( " 600x700 " )
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window . title ( " roop " )
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window . configure ( bg = " #2d3436 " )
window . resizable ( width = False , height = False )
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# Contact information
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support_link = tk . Label ( window , text = " Donate to project <3 " , fg = " #fd79a8 " , bg = " #2d3436 " , cursor = " hand2 " , font = ( " Arial " , 8 ) )
support_link . place ( x = 180 , y = 20 , width = 250 , height = 30 )
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support_link . bind ( " <Button-1> " , lambda e : webbrowser . open ( " https://github.com/sponsors/s0md3v " ) )
# Select a face button
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face_button = tk . Button ( window , text = " Select a face " , command = select_face , bg = " #2d3436 " , fg = " #74b9ff " , highlightthickness = 4 , relief = " flat " , highlightbackground = " #74b9ff " , activebackground = " #74b9ff " , borderwidth = 4 )
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face_button . place ( x = 60 , y = 320 , width = 180 , height = 80 )
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# Select a target button
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target_button = tk . Button ( window , text = " Select a target " , command = select_target , bg = " #2d3436 " , fg = " #74b9ff " , highlightthickness = 4 , relief = " flat " , highlightbackground = " #74b9ff " , activebackground = " #74b9ff " , borderwidth = 4 )
target_button . place ( x = 360 , y = 320 , width = 180 , height = 80 )
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# FPS limit checkbox
limit_fps = tk . IntVar ( )
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fps_checkbox = tk . Checkbutton ( window , relief = " groove " , activebackground = " #2d3436 " , activeforeground = " #74b9ff " , selectcolor = " black " , text = " Limit FPS to 30 " , fg = " #dfe6e9 " , borderwidth = 0 , highlightthickness = 0 , bg = " #2d3436 " , variable = limit_fps , command = toggle_fps_limit )
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fps_checkbox . place ( x = 30 , y = 500 , width = 240 , height = 31 )
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fps_checkbox . select ( )
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# Keep frames checkbox
keep_frames = tk . IntVar ( )
frames_checkbox = tk . Checkbutton ( window , relief = " groove " , activebackground = " #2d3436 " , activeforeground = " #74b9ff " , selectcolor = " black " , text = " Keep frames dir " , fg = " #dfe6e9 " , borderwidth = 0 , highlightthickness = 0 , bg = " #2d3436 " , variable = keep_frames , command = toggle_keep_frames )
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frames_checkbox . place ( x = 37 , y = 450 , width = 240 , height = 31 )
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# Start button
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start_button = tk . Button ( window , text = " Start " , bg = " #f1c40f " , relief = " flat " , borderwidth = 0 , highlightthickness = 0 , command = lambda : [ save_file ( ) , start ( ) ] )
start_button . place ( x = 240 , y = 560 , width = 120 , height = 49 )
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# Status label
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status_label = tk . Label ( window , width = 580 , justify = " center " , text = " Status: waiting for input... " , fg = " #2ecc71 " , bg = " #2d3436 " )
status_label . place ( x = 10 , y = 640 , width = 580 , height = 30 )
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window . mainloop ( )