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{
"nbformat": 4,
"nbformat_minor": 0,
"metadata": {
"colab": {
"provenance": [],
"authorship_tag": "ABX9TyMPin07iIA2oewCCP9ZTz6w",
"include_colab_link": true
},
"kernelspec": {
"name": "python3",
"display_name": "Python 3"
},
"language_info": {
"name": "python"
},
"accelerator": "GPU",
"gpuClass": "standard"
},
"cells": [
{
"cell_type": "markdown",
"metadata": {
"id": "view-in-github",
"colab_type": "text"
},
"source": [
"<a href=\"https://colab.research.google.com/github/vinthony/video-retalking/blob/main/quick_demo.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
]
},
{
"cell_type": "markdown",
"source": [
"## VideoReTalking：Audio-based Lip Synchronization for Talking Head Video Editing In the Wild\n",
"\n",
"[Arxiv](https://arxiv.org/abs/2211.14758) | [Project](https://vinthony.github.io/video-retalking/) | [Github](https://github.com/vinthony/video-retalking)\n",
"\n",
"Kun Cheng, Xiaodong Cun, Yong Zhang, Menghan Xia, Fei Yin, Mingrui Zhu, Xuan Wang, Jue Wang, Nannan Wang\n",
"\n",
"Xidian University, Tencent AI Lab, Tsinghua University\n",
"\n",
"*SIGGRAPH Asia 2022 Conferenence Track*\n",
"\n"
],
"metadata": {
"id": "NVfkv2BXSpr3"
}
},
{
"cell_type": "markdown",
"source": [
"**Installation** (30s)"
],
"metadata": {
"id": "u9hdPaH6UL_F"
}
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "PnKT9goiQ3Hk"
},
"outputs": [],
"source": [
"#@title\n",
"### make sure that CUDA is available in Edit -> Nootbook settings -> GPU\n",
"!nvidia-smi\n",
"\n",
"!python --version \n",
"!apt-get update\n",
"!apt install ffmpeg &> /dev/null \n",
"\n",
"print('Git clone project and install requirements...')\n",
"!git clone https://github.com/vinthony/video-retalking.git &> /dev/null\n",
"%cd video-retalking\n",
"# !pip install torch==1.9.0+cu111 torchvision==0.10.0+cu111 -f https://download.pytorch.org/whl/torch_stable.html\n",
"!pip install -r requirements.txt"
]
},
{
"cell_type": "markdown",
"source": [
"**Download Pretrained Models**"
],
"metadata": {
"id": "uwJS0eaM61Cq"
}
},
{
"cell_type": "code",
"source": [
"#@title\n",
"print('Download pre-trained models...')\n",
"!mkdir ./checkpoints \n",
"!wget https://github.com/vinthony/video-retalking/releases/download/v0.0.1/30_net_gen.pth -O ./checkpoints/30_net_gen.pth\n",
"!wget https://github.com/vinthony/video-retalking/releases/download/v0.0.1/BFM.zip -O ./checkpoints/BFM.zip\n",
"!wget https://github.com/vinthony/video-retalking/releases/download/v0.0.1/DNet.pt -O ./checkpoints/DNet.pt\n",
"!wget https://github.com/vinthony/video-retalking/releases/download/v0.0.1/ENet.pth -O ./checkpoints/ENet.pth\n",
"!wget https://github.com/vinthony/video-retalking/releases/download/v0.0.1/expression.mat -O ./checkpoints/expression.mat\n",
"!wget https://github.com/vinthony/video-retalking/releases/download/v0.0.1/face3d_pretrain_epoch_20.pth -O ./checkpoints/face3d_pretrain_epoch_20.pth\n",
"!wget https://github.com/vinthony/video-retalking/releases/download/v0.0.1/GFPGANv1.3.pth -O ./checkpoints/GFPGANv1.3.pth\n",
"!wget https://github.com/vinthony/video-retalking/releases/download/v0.0.1/GPEN-BFR-512.pth -O ./checkpoints/GPEN-BFR-512.pth\n",
"!wget https://github.com/vinthony/video-retalking/releases/download/v0.0.1/LNet.pth -O ./checkpoints/LNet.pth\n",
"!wget https://github.com/vinthony/video-retalking/releases/download/v0.0.1/ParseNet-latest.pth -O ./checkpoints/ParseNet-latest.pth\n",
"!wget https://github.com/vinthony/video-retalking/releases/download/v0.0.1/RetinaFace-R50.pth -O ./checkpoints/RetinaFace-R50.pth\n",
"!wget https://github.com/vinthony/video-retalking/releases/download/v0.0.1/shape_predictor_68_face_landmarks.dat -O ./checkpoints/shape_predictor_68_face_landmarks.dat\n",
"!unzip -d ./checkpoints/BFM ./checkpoints/BFM.zip"
],
"metadata": {
"id": "x18qYuQY678E"
},
"execution_count": null,
"outputs": []
},
{
"cell_type": "markdown",
"source": [
"**Inference**\n",
"\n",
"`--face`: Input video.\n",
"\n",
"`--audio`: Input audio. Both *.wav* and *.mp4* files are supported.\n",
"\n",
"You can choose our provided data from `./examples` folder or upload from your local computer.\n",
"\n",
"\n",
"\n",
"\n"
],
"metadata": {
"id": "QJRTF4U8UOjv"
}
},
{
"cell_type": "code",
"source": [
"#@title\n",
"import glob, os, sys\n",
"import ipywidgets as widgets\n",
"from IPython.display import HTML\n",
"from base64 import b64encode\n",
"\n",
"print(\"Choose the Video name to edit: (saved in folder 'examples/face')\")\n",
"vid_list = glob.glob1('examples/face/', '*.mp4')\n",
"vid_list.sort()\n",
"default_vid_name = widgets.Dropdown(options=vid_list, value='1.mp4')\n",
"display(default_vid_name)\n",
"\n",
"print(\"Choose the Audio name to edit: (saved in folder 'examples/audio')\")\n",
"audio_list = glob.glob1('examples/audio/', '*')\n",
"audio_list.sort()\n",
"default_audio_name = widgets.Dropdown(options=audio_list, value='1.wav')\n",
"display(default_audio_name)\n"
],
"metadata": {
"id": "U-IY-cBSporP",
"cellView": "form"
},
"execution_count": null,
"outputs": []
},
{
"cell_type": "markdown",
"source": [
"Visualize the input video and audio:"
],
"metadata": {
"id": "-MtI_R1bLJ-f"
}
},
{
"cell_type": "code",
"source": [
"#@title\n",
"input_video_name = './examples/face/{}'.format(default_vid_name.value)\n",
"input_video_mp4 = open('{}'.format(input_video_name),'rb').read()\n",
"input_video_data_url = \"data:video/x-m4v;base64,\" + b64encode(input_video_mp4).decode()\n",
"print('Display input video: {}'.format(input_video_name), file=sys.stderr)\n",
"display(HTML(\"\"\"\n",
" <video width=400 controls>\n",
" <source src=\"%s\" type=\"video/mp4\">\n",
" </video>\n",
" \"\"\" % input_video_data_url))\n",
"\n",
"input_audio_name = './examples/audio/{}'.format(default_audio_name.value)\n",
"input_audio_mp4 = open('{}'.format(input_audio_name),'rb').read()\n",
"input_audio_data_url = \"data:audio/wav;base64,\" + b64encode(input_audio_mp4).decode()\n",
"print('Display input audio: {}'.format(input_audio_name), file=sys.stderr)\n",
"display(HTML(\"\"\"\n",
" <audio width=400 controls>\n",
" <source src=\"%s\" type=\"audio/wav\">\n",
" </audio>\n",
" \"\"\" % input_audio_data_url))\n"
],
"metadata": {
"id": "ljbScdofJyGO",
"cellView": "form"
},
"execution_count": null,
"outputs": []
},
{
"cell_type": "code",
"source": [
"input_video_path = 'examples/face/{}'.format(default_vid_name.value)\n",
"input_audio_path = 'examples/audio/{}'.format(default_audio_name.value)\n",
"\n",
"!python3 inference.py \\\n",
" --face {input_video_path} \\\n",
" --audio {input_audio_path} \\\n",
" --outfile results/output.mp4"
],
"metadata": {
"id": "D7hUwRCyUYEA"
},
"execution_count": null,
"outputs": []
},
{
"cell_type": "markdown",
"source": [
"Visualize the output video:"
],
"metadata": {
"id": "JB5RbKc-njkB"
}
},
{
"cell_type": "code",
"source": [
"#@title\n",
"# visualize code from makeittalk\n",
"from IPython.display import HTML\n",
"from base64 import b64encode\n",
"import os, sys, glob, cv2, subprocess, platform\n",
"\n",
"def read_video(vid_name):\n",
" video_stream = cv2.VideoCapture(vid_name)\n",
" fps = video_stream.get(cv2.CAP_PROP_FPS)\n",
" full_frames = []\n",
" while True:\n",
" still_reading, frame = video_stream.read()\n",
" if not still_reading:\n",
" video_stream.release()\n",
" break\n",
" full_frames.append(frame)\n",
" return full_frames, fps\n",
"\n",
"input_video_frames, fps = read_video(input_video_path)\n",
"output_video_frames, _ = read_video('./results/output.mp4')\n",
"\n",
"frame_h, frame_w = input_video_frames[0].shape[:-1]\n",
"out_concat = cv2.VideoWriter('./temp/temp/result_concat.mp4', cv2.VideoWriter_fourcc(*'mp4v'), fps, (frame_w*2, frame_h))\n",
"for i in range(len(output_video_frames)):\n",
" frame_input = input_video_frames[i % len(input_video_frames)]\n",
" frame_output = output_video_frames[i]\n",
" out_concat.write(cv2.hconcat([frame_input, frame_output]))\n",
"out_concat.release()\n",
"\n",
"command = 'ffmpeg -loglevel error -y -i {} -i {} -strict -2 -q:v 1 {}'.format(input_audio_path, './temp/temp/result_concat.mp4', './results/output_concat_input.mp4')\n",
"subprocess.call(command, shell=platform.system() != 'Windows')\n",
"\n",
"\n",
"output_video_name = './results/output.mp4'\n",
"output_video_mp4 = open('{}'.format(output_video_name),'rb').read()\n",
"output_video_data_url = \"data:video/mp4;base64,\" + b64encode(output_video_mp4).decode()\n",
"print('Display lip-syncing video: {}'.format(output_video_name), file=sys.stderr)\n",
"display(HTML(\"\"\"\n",
" <video height=400 controls>\n",
" <source src=\"%s\" type=\"video/mp4\">\n",
" </video>\n",
" \"\"\" % output_video_data_url))\n",
"\n",
"output_concat_video_name = './results/output_concat_input.mp4'\n",
"output_concat_video_mp4 = open('{}'.format(output_concat_video_name),'rb').read()\n",
"output_concat_video_data_url = \"data:video/mp4;base64,\" + b64encode(output_concat_video_mp4).decode()\n",
"print('Display input video and lip-syncing video: {}'.format(output_concat_video_name), file=sys.stderr)\n",
"display(HTML(\"\"\"\n",
" <video height=400 controls>\n",
" <source src=\"%s\" type=\"video/mp4\">\n",
" </video>\n",
" \"\"\" % output_concat_video_data_url))\n"
],
"metadata": {
"id": "ravs9UDucMfy",
"cellView": "form"
},
"execution_count": null,
"outputs": []
}
]
} |