initial build
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README.md
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README.md
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Take a video and replace the face in it with a face of your choice. You only need one image of the desired face. No dataset, no training.
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That's it, that's the software.
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![demo-gif](demo.gif)
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## Installation
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> Do not create any issues regarding installation problems. I am only responsible for issues in this program, use google for help.
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1. install `python`, `pip` and `git`
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2. install `ffmpeg`
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3. run the following commands in terminal:
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```
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git clone https://github.com/s0md3v/roop
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cd roop
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pip3 install -r requirements.txt
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```
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### Do you have a decent GPU?
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If you have a good enough GPU, you can use it to speed up the face-swapping process by running `run.py` with `--gpu` flag.
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If you plan on doing, you will need to install the appropriate `onnxruntime-*` package as follows:
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#### NVIDIA
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```
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pip3 install onnxruntime-gpu
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```
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#### AMD
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```
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git clone https://github.com/microsoft/onnxruntime
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cd onnxruntime
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./build.sh --config Release --build_wheel --update --build --parallel --cmake_extra_defines CMAKE_PREFIX_PATH=/opt/rocm/lib/cmake ONNXRUNTIME_VERSION=$ONNXRUNTIME_VERSION onnxruntime_BUILD_UNIT_TESTS=off --use_rocm --rocm_home=/opt/rocm
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pip install build/Linux/Release/dist/*.whl
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```
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## Usage
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> Note: When you run this program for the first time, it will download some models ~300MB in size.
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Executing `python run.py` command will launch this window:
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Choose a face (image with desired face) and the target image/video (image/video in which you want to replace the face) and click on `Start`. The output will be saved in `output.mp4` file.
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Don't touch the FPS checkbox unless you know what you are doing.
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Additional command line arguments are given below:
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```
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-h, --help show this help message and exit
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-f SOURCE_IMG, --face SOURCE_IMG
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use this face
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-t TARGET_PATH, --target TARGET_PATH
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replace this face
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--keep-fps keep original fps
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--gpu use gpu
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--keep-frames don't delete frames directory
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```
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Looking for a CLI mode? Using the -f/--face argument will make the program in cli mode.
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## Future plans
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- [ ] Replace a selective face throughout the video
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- [ ] Support for replacing multiple faces
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## Credits
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- [ffmpeg](https://ffmpeg.org/): for making video related operations easy
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- [deepinsight](https://github.com/deepinsight): for their [insightface](https://github.com/deepinsight/insightface) project which provided a well-made library and models.
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- and all developers behind libraries used in this project.
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core/__init__.py
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core/__init__.py
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core/config.py
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core/config.py
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import insightface
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face_analyser = insightface.app.FaceAnalysis(name='buffalo_l', providers=['CUDAExecutionProvider', 'ROCMExecutionProvider', 'CPUExecutionProvider'])
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face_analyser.prepare(ctx_id=0, det_size=(640, 640))
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def get_face(img_data):
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analysed = face_analyser.get(img_data)
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return sorted(analysed, key=lambda x: x.bbox[0])[0]
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core/processor.py
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core/processor.py
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import cv2
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import insightface
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from core.config import get_face
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from core.utils import rreplace
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face_swapper = insightface.model_zoo.get_model('inswapper_128.onnx', providers=['CUDAExecutionProvider', 'ROCMExecutionProvider', 'CPUExecutionProvider'])
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def process_video(source_img, frame_paths):
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source_face = get_face(cv2.imread(source_img))
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for frame_path in frame_paths:
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frame = cv2.imread(frame_path)
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try:
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face = get_face(frame)
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result = face_swapper.get(frame, face, source_face, paste_back=True)
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cv2.imwrite(frame_path, result)
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except Exception as e:
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pass
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def process_img(source_img, target_path):
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frame = cv2.imread(target_path)
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face = get_face(frame)
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source_face = get_face(cv2.imread(source_img))
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result = face_swapper.get(frame, face, source_face, paste_back=True)
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target_path = rreplace(target_path, "/", "/swapped-", 1) if "/" in target_path else "swapped-"+target_path
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print(target_path)
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cv2.imwrite(target_path, result)
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core/utils.py
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core/utils.py
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import os
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import shutil
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def run_command(command, mode="silent"):
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if mode == "debug":
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return os.system(command)
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return os.popen(command).read()
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def detect_fps(input_path):
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output = os.popen(f"ffprobe -v error -select_streams v -of default=noprint_wrappers=1:nokey=1 -show_entries stream=r_frame_rate {input_path}").read()
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if "/" in output:
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try:
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return int(output.split("/")[0]) // int(output.split("/")[1])
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except:
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pass
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return 60
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def set_fps(input_path, output_path, fps):
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os.system(f"ffmpeg -i {input_path} -filter:v fps=fps={fps} {output_path}")
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def create_video(video_name, fps, output_dir):
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os.system(f"ffmpeg -framerate {fps} -pattern_type glob -i '{output_dir}/*.png' -c:v libx264 -pix_fmt yuv420p -y {output_dir}/output.mp4")
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def extract_frames(input_path, output_dir):
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os.system(f"ffmpeg -i {input_path} '{output_dir}/%04d.png'")
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def add_audio(current_dir, output_dir, target_path, keep_frames):
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video = target_path.split("/")[-1]
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video_name = video.split(".")[0]
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os.system(f"ffmpeg -i {output_dir}/output.mp4 -i {output_dir}/{video} -c:v copy -map 0:v:0 -map 1:a:0 -y {current_dir}/swapped-{video_name}.mp4")
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if not os.path.isfile(current_dir + "/swapped-" + video_name + ".mp4"):
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shutil.move(output_dir + "/output.mp4", current_dir + "/swapped-" + video_name + ".mp4")
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if not keep_frames:
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shutil.rmtree(output_dir)
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def is_img(path):
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return path.lower().endswith(("png", "jpg", "jpeg", "bmp"))
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def rreplace(s, old, new, occurrence):
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li = s.rsplit(old, occurrence)
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return new.join(li)
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requirements.txt
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requirements.txt
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numpy
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opencv-python
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onnx
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insightface
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run.py
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run.py
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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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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 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
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import webbrowser
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import psutil
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import shutil
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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('--keep-fps', help='maintain original fps', dest='keep_fps', action='store_true', default=False)
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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-frames', help='keep frames directory', dest='keep_frames', action='store_true', 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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def start_processing():
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if args['gpu']:
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process_video(args['source_img'], args["frame_paths"])
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return
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frame_paths = args["frame_paths"]
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n = len(frame_paths)//(psutil.cpu_count()-1)
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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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def select_face():
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args['source_img'] = filedialog.askopenfilename(title="Select a face")
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def select_target():
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args['target_path'] = filedialog.askopenfilename(title="Select a target")
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def toggle_fps_limit():
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args['keep_fps'] = limit_fps.get() != True
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def start():
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global pool
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pool = mp.Pool(psutil.cpu_count()-1)
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current_dir = os.getcwd()
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target_path = args['target_path']
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if is_img(target_path):
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process_img(args['source_img'], target_path)
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return
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video_name = target_path.split("/")[-1].split(".")[0]
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output_dir = current_dir + "/" + video_name
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Path(output_dir).mkdir(exist_ok=True)
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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, fps = this_path, 30
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else:
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shutil.copy(target_path, output_dir)
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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("/")[-1].replace(".png", ""))
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))
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start_processing()
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create_video(video_name, fps, output_dir)
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add_audio(current_dir, output_dir, target_path, args['keep_frames'])
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if __name__ == "__main__":
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if args['source_img']:
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start()
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quit()
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window = tk.Tk()
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window.geometry("600x200")
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window.title("roop")
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# Contact information
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support_link = tk.Label(window, text="Support the project ^_^", fg="red", cursor="hand2")
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support_link.pack(padx=10, pady=10)
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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)
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face_button.pack(side=tk.LEFT, padx=10, pady=10)
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# Select a target button
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target_button = tk.Button(window, text="Select a target", command=select_target)
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target_button.pack(side=tk.RIGHT, padx=10, pady=10)
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# FPS limit checkbox
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limit_fps = tk.IntVar()
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fps_checkbox = tk.Checkbutton(window, text="Limit FPS to 30", variable=limit_fps, command=toggle_fps_limit, font=("Arial", 8))
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fps_checkbox.pack(side=tk.BOTTOM)
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fps_checkbox.select()
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# Start button
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start_button = tk.Button(window, text="Start", bg="green", command=start)
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start_button.pack(side=tk.BOTTOM, padx=10, pady=10)
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window.mainloop()
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