286 lines
12 KiB
Python
286 lines
12 KiB
Python
#!/usr/bin/env python3
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import platform
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import sys
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import time
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import shutil
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import glob
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import argparse
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import multiprocessing as mp
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import os
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import random
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from pathlib import Path
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import tkinter as tk
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from tkinter import filedialog
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from opennsfw2 import predict_image as face_check
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from tkinter.filedialog import asksaveasfilename
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import core.globals
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from core.processor import process_video, process_img
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from core.utils import is_img, detect_fps, set_fps, create_video, add_audio, extract_frames, rreplace
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from core.config import get_face
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import webbrowser
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import psutil
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import cv2
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import threading
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from PIL import Image, ImageTk
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if 'ROCMExecutionProvider' not in core.globals.providers:
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import torch
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pool = None
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args = {}
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parser = argparse.ArgumentParser()
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parser.add_argument('-f', '--face', help='use this face', dest='source_img')
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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='set max memory', type=int)
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parser.add_argument('--max-cores', help='number of cores to use', dest='cores_count', type=int, default=max(psutil.cpu_count() - 2, 2))
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parser.add_argument('-a', '--all-faces', help='swap all faces in frame', dest='all_faces', default=False)
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for name, value in vars(parser.parse_args()).items():
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args[name] = value
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sep = "/"
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if os.name == "nt":
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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
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kernel32 = ctypes.windll.kernel32
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kernel32.SetProcessWorkingSetSize(-1, ctypes.c_size_t(memory), ctypes.c_size_t(memory))
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else:
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import resource
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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'):
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quit('ffmpeg is not installed!')
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model_path = os.path.join(os.path.abspath(os.path.dirname(__file__)), 'inswapper_128.onnx')
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if not os.path.isfile(model_path):
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quit('File "inswapper_128.onnx" does not exist!')
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if '--gpu' in sys.argv:
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NVIDIA_PROVIDERS = ['CUDAExecutionProvider', 'TensorrtExecutionProvider']
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if len(list(set(core.globals.providers) - set(NVIDIA_PROVIDERS))) == 1:
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CUDA_VERSION = torch.version.cuda
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CUDNN_VERSION = torch.backends.cudnn.version()
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if not torch.cuda.is_available() or not CUDA_VERSION:
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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:
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quit(f"CUDNN version {CUDNN_VERSION} is not supported - please upgrade to 8.9.1")
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if CUDNN_VERSION > 8910:
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quit(f"CUDNN version {CUDNN_VERSION} is not supported - please downgrade to 8.9.1")
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else:
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core.globals.providers = ['CPUExecutionProvider']
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if '--all-faces' in sys.argv or '-a' in sys.argv:
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core.globals.all_faces = True
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def start_processing():
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start_time = time.time()
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threshold = len(['frame_args']) if len(args['frame_paths']) <= 10 else 10
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for i in range(threshold):
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if face_check(random.choice(args['frame_paths'])) > 0.8:
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quit("[WARNING] Unable to determine location of the face in the target. Please make sure the target isn't wearing clothes matching to their skin.")
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if args['gpu']:
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process_video(args['source_img'], args["frame_paths"])
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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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return
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frame_paths = args["frame_paths"]
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n = len(frame_paths)//(args['cores_count'])
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processes = []
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for i in range(0, len(frame_paths), n):
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p = pool.apply_async(process_video, args=(args['source_img'], frame_paths[i:i+n],))
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processes.append(p)
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for p in processes:
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p.get()
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pool.close()
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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):
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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)
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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)
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img_label.image = photo_img
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img_label.pack()
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def preview_video(video_path):
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cap = cv2.VideoCapture(video_path)
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if not cap.isOpened():
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print("Error opening video file")
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return
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ret, frame = cap.read()
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if ret:
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frame = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
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img = Image.fromarray(frame)
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img = img.resize((180, 180), Image.ANTIALIAS)
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photo_img = ImageTk.PhotoImage(img)
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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)
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img_label.image = photo_img
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img_label.pack()
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cap.release()
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def select_face():
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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():
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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():
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args['keep_fps'] = limit_fps.get() != True
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def toggle_keep_frames():
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args['keep_frames'] = keep_frames.get() != True
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def save_file():
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filename, ext = 'output.mp4', '.mp4'
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if is_img(args['target_path']):
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filename, ext = 'output.png', '.png'
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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)
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else:
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status_label["text"] = "Status: " + string
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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']):
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print("\n[WARNING] Please select an image containing a face.")
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return
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elif not args['target_path'] or not os.path.isfile(args['target_path']):
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print("\n[WARNING] Please select a video/image to swap face in.")
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return
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if not args['output_file']:
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target_path = args['target_path']
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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']))
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if not test_face:
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print("\n[WARNING] No face detected in source image. Please try with another one.\n")
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return
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if is_img(target_path):
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if face_check(target_path) > 0.7:
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quit("[WARNING] Unable to determine location of the face in the target. Please make sure the target isn't wearing clothes matching to their skin.")
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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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video_name_full = target_path.split("/")[-1]
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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:
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shutil.copy(target_path, output_dir)
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status("extracting frames...")
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extract_frames(target_path, output_dir)
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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\nVideo 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()
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quit()
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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")
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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))
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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"))
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# 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)
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target_button.place(x=360,y=320,width=180,height=80)
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# FPS limit checkbox
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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
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keep_frames = tk.IntVar()
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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()])
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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")
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status_label.place(x=10,y=640,width=580,height=30)
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window.mainloop()
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