From 0268109b9c1ba46ab502f4f51c807f725c0b2920 Mon Sep 17 00:00:00 2001 From: Atlus99 <127162631+Atlus99@users.noreply.github.com> Date: Fri, 26 Jan 2024 10:16:13 +0800 Subject: [PATCH 01/36] Add files via upload MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit 上传小组成员项目贡献 --- ...272\345\221\230\345\210\206\345\267\245.doc" | Bin 0 -> 13312 bytes 1 file changed, 0 insertions(+), 0 deletions(-) create mode 100644 "\344\272\272\345\221\230\345\210\206\345\267\245.doc" diff --git "a/\344\272\272\345\221\230\345\210\206\345\267\245.doc" "b/\344\272\272\345\221\230\345\210\206\345\267\245.doc" new file mode 100644 index 0000000000000000000000000000000000000000..417b0e355edad671a3c1be9f0a9274a45345a6cb GIT binary patch literal 13312 zcmeHN3vg7`8UF9x-LMJdLF8pXSs-Fm9yj3;K#)KXl2G$7DN#ZQAuI$4YnlWkJTxj5 zoMa@{PH{Sn#g0}Tr%dVtA2U@{YN<1}K7d-==_F(6IBln{blMR|xc$C!_lBEfH)H`3 zB>&F0=Y7t9{{KJ!J@?%6{vQUnKk=)S4(Ud>h)YhJu@d9R*AOQZC5h;WFn!uIO)FCb 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zXGHm&Nc6lL&dV~p<3)l0YtfIw%P4>g10S_Z3=Zv+2jm0Z%rh`+^+`8t92W$ zp7xsA+Go8S#{TGJ!%=NUC@MS}jnK*+8{6jRb(h+UeGIhYp^)NYkdb;FI7-Vk+2tB> zR9%=#9Y((F%qN#tKFXu^?ko zQY(N020$BteB|R>bkFVPV+<5H_EGZL4*l14`{T7bUD~5UyhP(1AIgSE?afi;YW@De z)@4ypMZ?zLsk7qM{#!nOA|SXkuOY*WMUpK+0C;rF5f?MT&%fU6F12ZXJN+K-VUC_d z5RKTLx!0S-do3-mK&8?#=fs(oFe1|0dfk{R2v;Q{R1G zy>u_j>6|?N^|ODw16Rh~v5};*!Lol8Pc=fEZg?SQ;5~sj9mAy8!?~ Date: Fri, 26 Jan 2024 10:58:03 +0800 Subject: [PATCH 03/36] Add files via upload MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit 介绍文档 --- Readme.md | 140 ++++++++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 140 insertions(+) create mode 100644 Readme.md diff --git a/Readme.md b/Readme.md new file mode 100644 index 00000000..287dd3df --- /dev/null +++ b/Readme.md @@ -0,0 +1,140 @@ +# Readme + +#### **1.完成功能** + +本项目完成一个语音转换模型EVP + +#### **2.依赖安装** + +```powershell +absl-py==2.0.0 +addict==2.4.0 +aiosignal==1.3.1 +appdirs==1.4.4 +attrs==23.1.0 +audioread==3.0.1 +basicsr==1.3.4.7 +cachetools==5.3.2 +certifi==2020.12.5 +cffi==1.16.0 +charset-normalizer==3.3.2 +click==8.1.7 +cloudpickle==3.0.0 +colorama==0.4.6 +colorlog==6.7.0 +contourpy==1.1.1 +cycler==0.12.1 +decorator==5.1.1 +dlib==19.22.1 +docker-pycreds==0.4.0 +face-alignment==1.3.5 +ffmpeg==1.4 +filelock==3.13.1 +fonttools==4.44.0 +frozenlist==1.4.0 +future==0.18.3 +gitdb==4.0.11 +GitPython==3.1.40 +glob2==0.7 +google-auth==2.23.4 +google-auth-oauthlib==0.4.6 +grpcio==1.59.2 +hyperopt==0.2.5 +idna==3.4 +imageio==2.9.0 +imageio-ffmpeg==0.4.5 +importlib-metadata==6.8.0 +importlib-resources==6.1.0 +joblib==1.3.2 +jsonschema==4.19.2 +jsonschema-specifications==2023.7.1 +kiwisolver==1.4.5 +lazy_loader==0.3 +librosa==0.10.1 +llvmlite==0.37.0 +lmdb==1.2.1 +lws==1.2.7 +Markdown==3.5.1 +MarkupSafe==2.1.3 +matplotlib==3.6.3 +msgpack==1.0.7 +networkx==3.1 +numba==0.54.1 +numpy==1.20.3 +oauthlib==3.2.2 +opencv-python==3.4.9.33 +packaging==23.2 +pandas==1.3.4 +pathtools==0.1.2 +Pillow==6.2.1 +pkgutil_resolve_name==1.3.10 +platformdirs==3.11.0 +plotly==5.18.0 +pooch==1.8.0 +protobuf==4.25.0 +psutil==5.9.6 +pyasn1==0.5.0 +pyasn1-modules==0.3.0 +pycparser==2.21 +pyparsing==3.1.1 +python-dateutil==2.8.2 +python-speech-features==0.6 +pytorch-fid==0.3.0 +pytz==2023.3.post1 +PyWavelets==1.4.1 +PyYAML==5.3.1 +ray==2.6.3 +referencing==0.30.2 +requests==2.31.0 +requests-oauthlib==1.3.1 +rpds-py==0.12.0 +rsa==4.9 +scikit-image==0.16.2 +scikit-learn==1.3.2 +scipy==1.5.0 +sentry-sdk==1.34.0 +setproctitle==1.3.3 +six==1.16.0 +smmap==5.0.1 +soundfile==0.12.1 +soxr==0.3.7 +tabulate==0.9.0 +tb-nightly==2.12.0a20230126 +tenacity==8.2.3 +tensorboard==2.7.0 +tensorboard-data-server==0.6.1 +tensorboard-plugin-wit==1.8.1 +texttable==1.7.0 +thop==0.1.1.post2209072238 +threadpoolctl==3.2.0 +tomli==2.0.1 +torch==1.13.1+cu116 +torchaudio==0.13.1+cu116 +torchvision==0.14.1+cu116 +tqdm==4.66.1 +trimesh==3.9.20 +typing_extensions==4.8.0 +tzdata==2023.3 +urllib3==2.0.7 +wandb==0.15.12 +Werkzeug==3.0.1 +yapf==0.40.2 +zipp==3.17.0 + +``` + +#### 3.训练过程 + +1)首先将https://drive.google.com/file/d/1OjFo6oRu-PIlZIl-6zPfnD_x4TW1iZ-3/view的文件下载下来放在项目中的dataset文件夹中 + +2)运行talkingface/data/dataset下的preprocess文件:python preprocess.py + +3)运行 python run_talkingface.py –model=evp –dataset=evpDataset + +#### **4.实验中遇到的问题** + +1)由于是使用给定框架将evp模型嵌入,因此在实验过程中发现,有时候一些可能在框架中集成了但是需要补充的部分不容易找到,容易忽略到一部分内容。 + +2)一开始没有调整初始的epoch,导致在实验中可能eval的部分有问题,但是需要等很久,等到所有训练完成后才发现,这就导致时间上的浪费 + +3)在处理evp提供的数据集时也发现了问题,因为evp源代码提供的数据预处理部分本身是有问题的,这就导致需要自己对这部分的代码进行修改,但这样也很容易出错,因为得到的结果可能和作者期望的存在差距,这就需要仔细阅读论文以及github上的别的人提出的问题以及解答 \ No newline at end of file From 59444cc1c0120d213e5230e6421d26e83f184106 Mon Sep 17 00:00:00 2001 From: Atlus99 <127162631+Atlus99@users.noreply.github.com> Date: Fri, 26 Jan 2024 10:59:32 +0800 Subject: [PATCH 04/36] Update Readme.md --- Readme.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/Readme.md b/Readme.md index 287dd3df..ec26b5a4 100644 --- a/Readme.md +++ b/Readme.md @@ -2,7 +2,7 @@ #### **1.完成功能** -本项目完成一个语音转换模型EVP +本项目完成一个语音转换模型EVP,实验运行截图在Readme.pdf中 #### **2.依赖安装** @@ -137,4 +137,4 @@ zipp==3.17.0 2)一开始没有调整初始的epoch,导致在实验中可能eval的部分有问题,但是需要等很久,等到所有训练完成后才发现,这就导致时间上的浪费 -3)在处理evp提供的数据集时也发现了问题,因为evp源代码提供的数据预处理部分本身是有问题的,这就导致需要自己对这部分的代码进行修改,但这样也很容易出错,因为得到的结果可能和作者期望的存在差距,这就需要仔细阅读论文以及github上的别的人提出的问题以及解答 \ No newline at end of file +3)在处理evp提供的数据集时也发现了问题,因为evp源代码提供的数据预处理部分本身是有问题的,这就导致需要自己对这部分的代码进行修改,但这样也很容易出错,因为得到的结果可能和作者期望的存在差距,这就需要仔细阅读论文以及github上的别的人提出的问题以及解答 From 2b5c4ea519b7b5b0ea6e49d9433d130bec481857 Mon Sep 17 00:00:00 2001 From: Atlus99 <127162631+Atlus99@users.noreply.github.com> Date: Fri, 26 Jan 2024 15:53:46 +0800 Subject: [PATCH 05/36] Update README.md --- README.md | 330 +++++++++++++++++++++--------------------------------- 1 file changed, 130 insertions(+), 200 deletions(-) diff --git a/README.md b/README.md index 7cd82328..03abdb68 100644 --- a/README.md +++ b/README.md @@ -1,210 +1,140 @@ -# talkingface-toolkit -## 框架整体介绍 -### checkpoints -主要保存的是训练和评估模型所需要的额外的预训练模型,在对应文件夹的[README](https://github.com/Academic-Hammer/talkingface-toolkit/blob/main/checkpoints/README.md)有更详细的介绍 +# Readme + +#### **1.完成功能** + +本项目完成一个语音转换模型EVP,实验运行截图在Readme.pdf中 + +#### **2.依赖安装** + +```powershell +absl-py==2.0.0 +addict==2.4.0 +aiosignal==1.3.1 +appdirs==1.4.4 +attrs==23.1.0 +audioread==3.0.1 +basicsr==1.3.4.7 +cachetools==5.3.2 +certifi==2020.12.5 +cffi==1.16.0 +charset-normalizer==3.3.2 +click==8.1.7 +cloudpickle==3.0.0 +colorama==0.4.6 +colorlog==6.7.0 +contourpy==1.1.1 +cycler==0.12.1 +decorator==5.1.1 +dlib==19.22.1 +docker-pycreds==0.4.0 +face-alignment==1.3.5 +ffmpeg==1.4 +filelock==3.13.1 +fonttools==4.44.0 +frozenlist==1.4.0 +future==0.18.3 +gitdb==4.0.11 +GitPython==3.1.40 +glob2==0.7 +google-auth==2.23.4 +google-auth-oauthlib==0.4.6 +grpcio==1.59.2 +hyperopt==0.2.5 +idna==3.4 +imageio==2.9.0 +imageio-ffmpeg==0.4.5 +importlib-metadata==6.8.0 +importlib-resources==6.1.0 +joblib==1.3.2 +jsonschema==4.19.2 +jsonschema-specifications==2023.7.1 +kiwisolver==1.4.5 +lazy_loader==0.3 +librosa==0.10.1 +llvmlite==0.37.0 +lmdb==1.2.1 +lws==1.2.7 +Markdown==3.5.1 +MarkupSafe==2.1.3 +matplotlib==3.6.3 +msgpack==1.0.7 +networkx==3.1 +numba==0.54.1 +numpy==1.20.3 +oauthlib==3.2.2 +opencv-python==3.4.9.33 +packaging==23.2 +pandas==1.3.4 +pathtools==0.1.2 +Pillow==6.2.1 +pkgutil_resolve_name==1.3.10 +platformdirs==3.11.0 +plotly==5.18.0 +pooch==1.8.0 +protobuf==4.25.0 +psutil==5.9.6 +pyasn1==0.5.0 +pyasn1-modules==0.3.0 +pycparser==2.21 +pyparsing==3.1.1 +python-dateutil==2.8.2 +python-speech-features==0.6 +pytorch-fid==0.3.0 +pytz==2023.3.post1 +PyWavelets==1.4.1 +PyYAML==5.3.1 +ray==2.6.3 +referencing==0.30.2 +requests==2.31.0 +requests-oauthlib==1.3.1 +rpds-py==0.12.0 +rsa==4.9 +scikit-image==0.16.2 +scikit-learn==1.3.2 +scipy==1.5.0 +sentry-sdk==1.34.0 +setproctitle==1.3.3 +six==1.16.0 +smmap==5.0.1 +soundfile==0.12.1 +soxr==0.3.7 +tabulate==0.9.0 +tb-nightly==2.12.0a20230126 +tenacity==8.2.3 +tensorboard==2.7.0 +tensorboard-data-server==0.6.1 +tensorboard-plugin-wit==1.8.1 +texttable==1.7.0 +thop==0.1.1.post2209072238 +threadpoolctl==3.2.0 +tomli==2.0.1 +torch==1.13.1+cu116 +torchaudio==0.13.1+cu116 +torchvision==0.14.1+cu116 +tqdm==4.66.1 +trimesh==3.9.20 +typing_extensions==4.8.0 +tzdata==2023.3 +urllib3==2.0.7 +wandb==0.15.12 +Werkzeug==3.0.1 +yapf==0.40.2 +zipp==3.17.0 -### datset -存放数据集以及数据集预处理之后的数据,详细内容见dataset里的[README](https://github.com/Academic-Hammer/talkingface-toolkit/blob/main/dataset/README.md) - -### saved -存放训练过程中保存的模型checkpoint, 训练过程中保存模型时自动创建 - -### talkingface -主要功能模块,包括所有核心代码 - -#### config -根据模型和数据集名称自动生成所有模型、数据集、训练、评估等相关的配置信息 -``` -config/ - -├── configurator.py - -``` -#### data -- dataprocess:模型特有的数据处理代码,(可以是对方仓库自己实现的音频特征提取、推理时的数据处理)。如果实现的模型有这个需求,就要建立一对应的文件 -- dataset:每个模型都要重载`torch.utils.data.Dataset` 用于加载数据。每个模型都要有一个`model_name+'_dataset.py'`文件. `__getitem__()`方法的返回值应处理成字典类型的数据。 (核心部分) -``` -data/ - -├── dataprocess - -| ├── wav2lip_process.py - -| ├── xxxx_process.py - -├── dataset - -| ├── wav2lip_dataset.py - -| ├── xxx_dataset.py -``` - -#### evaluate -主要涉及模型评估的代码 -LSE metric 需要的数据是生成的视频列表 -SSIM metric 需要的数据是生成的视频和真实的视频列表 - -#### model -实现的模型的网络和对应的方法 (核心部分) - -主要分三类: -- audio-driven (音频驱动) -- image-driven (图像驱动) -- nerf-based (基于神经辐射场的方法) - -``` -model/ - -├── audio_driven_talkingface - -| ├── wav2lip.py - -├── image_driven_talkingface - -| ├── xxxx.py - -├── nerf_based_talkingface - -| ├── xxxx.py - -├── abstract_talkingface.py - -``` - -#### properties -保存默认配置文件,包括: -- 数据集配置文件 -- 模型配置文件 -- 通用配置文件 - -需要根据对应模型和数据集增加对应的配置文件,通用配置文件`overall.yaml`一般不做修改 ``` -properties/ - -├── dataset - -| ├── xxx.yaml - -├── model - -| ├── xxx.yaml - -├── overall.yaml - -``` - -#### quick_start -通用的启动文件,根据传入参数自动配置数据集和模型,然后训练和评估(一般不需要修改) -``` -quick_start/ - -├── quick_start.py - -``` - -#### trainer -训练、评估函数的主类。在trainer中,如果可以使用基类`Trainer`实现所有功能,则不需要写一个新的。如果模型训练有一些特有部分,则需要重载`Trainer`。需要重载部分可能主要集中于: `_train_epoch()`, `_valid_epoch()`。 重载的`Trainer`应该命名为:`{model_name}Trainer` -``` -trainer/ - -├── trainer.py - -``` - -#### utils -公用的工具类,包括`s3fd`人脸检测,视频抽帧、视频抽音频方法。还包括根据参数配置找对应的模型类、数据类等方法。 -一般不需要修改,但可以适当添加一些必须的且相对普遍的数据处理文件。 - -## 使用方法 -### 环境要求 -- `python=3.8` -- `torch==1.13.1+cu116`(gpu版,若设备不支持cuda可以使用cpu版) -- `numpy==1.20.3` -- `librosa==0.10.1` - -尽量保证上面几个包的版本一致 - -提供了两种配置其他环境的方法: -``` -pip install -r requirements.txt - -or - -conda env create -f environment.yml -``` - -建议使用conda虚拟环境!!! - -### 训练和评估 - -```bash -python run_talkingface.py --model=xxxx --dataset=xxxx (--other_parameters=xxxxxx) -``` - -### 权重文件 - -- LSE评估需要的权重: syncnet_v2.model [百度网盘下载](https://pan.baidu.com/s/1vQoL9FuKlPyrHOGKihtfVA?pwd=32hc) -- wav2lip需要的lip expert 权重:lipsync_expert.pth [百度网下载](https://pan.baidu.com/s/1vQoL9FuKlPyrHOGKihtfVA?pwd=32hc) -## 可选论文: -### Aduio_driven talkingface -| 模型简称 | 论文 | 代码仓库 | -|:--------:|:--------:|:--------:| -| MakeItTalk | [paper](https://arxiv.org/abs/2004.12992) | [code](https://github.com/yzhou359/MakeItTalk) | -| MEAD | [paper](https://wywu.github.io/projects/MEAD/support/MEAD.pdf) | [code](https://github.com/uniBruce/Mead) | -| RhythmicHead | [paper](https://arxiv.org/pdf/2007.08547v1.pdf) | [code](https://github.com/lelechen63/Talking-head-Generation-with-Rhythmic-Head-Motion) | -| PC-AVS | [paper](https://arxiv.org/abs/2104.11116) | [code](https://github.com/Hangz-nju-cuhk/Talking-Face_PC-AVS) | -| EVP | [paper](https://openaccess.thecvf.com/content/CVPR2021/papers/Ji_Audio-Driven_Emotional_Video_Portraits_CVPR_2021_paper.pdf) | [code](https://github.com/jixinya/EVP) | -| LSP | [paper](https://arxiv.org/abs/2109.10595) | [code](https://github.com/YuanxunLu/LiveSpeechPortraits) | -| EAMM | [paper](https://arxiv.org/pdf/2205.15278.pdf) | [code](https://github.com/jixinya/EAMM/) | -| DiffTalk | [paper](https://arxiv.org/abs/2301.03786) | [code](https://github.com/sstzal/DiffTalk) | -| TalkLip | [paper](https://arxiv.org/pdf/2303.17480.pdf) | [code](https://github.com/Sxjdwang/TalkLip) | -| EmoGen | [paper](https://arxiv.org/pdf/2303.11548.pdf) | [code](https://github.com/sahilg06/EmoGen) | -| SadTalker | [paper](https://arxiv.org/abs/2211.12194) | [code](https://github.com/OpenTalker/SadTalker) | -| HyperLips | [paper](https://arxiv.org/abs/2310.05720) | [code](https://github.com/semchan/HyperLips) | -| PHADTF | [paper](http://arxiv.org/abs/2002.10137) | [code](https://github.com/yiranran/Audio-driven-TalkingFace-HeadPose) | -| VideoReTalking | [paper](https://arxiv.org/abs/2211.14758) | [code](https://github.com/OpenTalker/video-retalking#videoretalking--audio-based-lip-synchronization-for-talking-head-video-editing-in-the-wild-) -| | +#### 3.训练过程 +1)首先将https://drive.google.com/file/d/1OjFo6oRu-PIlZIl-6zPfnD_x4TW1iZ-3/view的文件下载下来放在项目中的dataset文件夹中 +2)运行talkingface/data/dataset下的preprocess文件:python preprocess.py -### Image_driven talkingface -| 模型简称 | 论文 | 代码仓库 | -|:--------:|:--------:|:--------:| -| PIRenderer | [paper](https://arxiv.org/pdf/2109.08379.pdf) | [code](https://github.com/RenYurui/PIRender) | -| StyleHEAT | [paper](https://arxiv.org/pdf/2203.04036.pdf) | [code](https://github.com/OpenTalker/StyleHEAT) | -| MetaPortrait | [paper](https://arxiv.org/abs/2212.08062) | [code](https://github.com/Meta-Portrait/MetaPortrait) | -| | -### Nerf-based talkingface -| 模型简称 | 论文 | 代码仓库 | -|:--------:|:--------:|:--------:| -| AD-NeRF | [paper](https://arxiv.org/abs/2103.11078) | [code](https://github.com/YudongGuo/AD-NeRF) | -| GeneFace | [paper](https://arxiv.org/abs/2301.13430) | [code](https://github.com/yerfor/GeneFace) | -| DFRF | [paper](https://arxiv.org/abs/2207.11770) | [code](https://github.com/sstzal/DFRF) | -| | -### text_to_speech -| 模型简称 | 论文 | 代码仓库 | -|:--------:|:--------:|:--------:| -| VITS | [paper](https://arxiv.org/abs/2106.06103) | [code](https://github.com/jaywalnut310/vits) | -| Glow TTS | [paper](https://arxiv.org/abs/2005.11129) | [code](https://github.com/jaywalnut310/glow-tts) | -| FastSpeech2 | [paper](https://arxiv.org/abs/2006.04558v1) | [code](https://github.com/ming024/FastSpeech2) | -| StyleTTS2 | [paper](https://arxiv.org/abs/2306.07691) | [code](https://github.com/yl4579/StyleTTS2) | -| Grad-TTS | [paper](https://arxiv.org/abs/2105.06337) | [code](https://github.com/huawei-noah/Speech-Backbones/tree/main/Grad-TTS) | -| FastSpeech | [paper](https://arxiv.org/abs/1905.09263) | [code](https://github.com/xcmyz/FastSpeech) | -| | -### voice_conversion -| 模型简称 | 论文 | 代码仓库 | -|:--------:|:--------:|:--------:| -| StarGAN-VC | [paper](http://www.kecl.ntt.co.jp/people/kameoka.hirokazu/Demos/stargan-vc2/index.html) | [code](https://github.com/kamepong/StarGAN-VC) | -| Emo-StarGAN | [paper](https://www.researchgate.net/publication/373161292_Emo-StarGAN_A_Semi-Supervised_Any-to-Many_Non-Parallel_Emotion-Preserving_Voice_Conversion) | [code](https://github.com/suhitaghosh10/emo-stargan) | -| adaptive-VC | [paper](https://arxiv.org/abs/1904.05742) | [code](https://github.com/jjery2243542/adaptive_voice_conversion) | -| DiffVC | [paper](https://arxiv.org/abs/2109.13821) | [code](https://github.com/huawei-noah/Speech-Backbones/tree/main/DiffVC) | -| Assem-VC | [paper](https://arxiv.org/abs/2104.00931) | [code](https://github.com/maum-ai/assem-vc) | -| | +3)运行 python run_talkingface.py –model=evp –dataset=evpDataset -## 作业要求 -- 确保可以仅在命令行输入模型和数据集名称就可以训练、验证。(部分仓库没有提供训练代码的,可以不训练) -- 每个组都要提交一个README文件,写明完成的功能、最终实现的训练、验证截图、所使用的依赖、成员分工等。 +#### **4.实验中遇到的问题** +1)由于是使用给定框架将evp模型嵌入,因此在实验过程中发现,有时候一些可能在框架中集成了但是需要补充的部分不容易找到,容易忽略到一部分内容。 +2)一开始没有调整初始的epoch,导致在实验中可能eval的部分有问题,但是需要等很久,等到所有训练完成后才发现,这就导致时间上的浪费 +3)在处理evp提供的数据集时也发现了问题,因为evp源代码提供的数据预处理部分本身是有问题的,这就导致需要自己对这部分的代码进行修改,但这样也很容易出错,因为得到的结果可能和作者期望的存在差距,这就需要仔细阅读论文以及github上的别的人提出的问题以及解答 From d191a8c13e14f7e2a149327e5dd0d02057ac5c06 Mon Sep 17 00:00:00 2001 From: Zeqing <116366026+mike20021113@users.noreply.github.com> Date: Fri, 26 Jan 2024 16:01:43 +0800 Subject: [PATCH 06/36] Update README.md --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 03abdb68..99b8c4d2 100644 --- a/README.md +++ b/README.md @@ -1,4 +1,4 @@ -# Readme +# README #### **1.完成功能** From 9dcb6f99e3cf45deb119433b754233c9f1f38900 Mon Sep 17 00:00:00 2001 From: Atlus99 <127162631+Atlus99@users.noreply.github.com> Date: Fri, 26 Jan 2024 16:02:07 +0800 Subject: [PATCH 07/36] Delete Readme.md --- Readme.md | 140 ------------------------------------------------------ 1 file changed, 140 deletions(-) delete mode 100644 Readme.md diff --git a/Readme.md b/Readme.md deleted file mode 100644 index ec26b5a4..00000000 --- a/Readme.md +++ /dev/null @@ -1,140 +0,0 @@ -# Readme - -#### **1.完成功能** - -本项目完成一个语音转换模型EVP,实验运行截图在Readme.pdf中 - -#### **2.依赖安装** - -```powershell -absl-py==2.0.0 -addict==2.4.0 -aiosignal==1.3.1 -appdirs==1.4.4 -attrs==23.1.0 -audioread==3.0.1 -basicsr==1.3.4.7 -cachetools==5.3.2 -certifi==2020.12.5 -cffi==1.16.0 -charset-normalizer==3.3.2 -click==8.1.7 -cloudpickle==3.0.0 -colorama==0.4.6 -colorlog==6.7.0 -contourpy==1.1.1 -cycler==0.12.1 -decorator==5.1.1 -dlib==19.22.1 -docker-pycreds==0.4.0 -face-alignment==1.3.5 -ffmpeg==1.4 -filelock==3.13.1 -fonttools==4.44.0 -frozenlist==1.4.0 -future==0.18.3 -gitdb==4.0.11 -GitPython==3.1.40 -glob2==0.7 -google-auth==2.23.4 -google-auth-oauthlib==0.4.6 -grpcio==1.59.2 -hyperopt==0.2.5 -idna==3.4 -imageio==2.9.0 -imageio-ffmpeg==0.4.5 -importlib-metadata==6.8.0 -importlib-resources==6.1.0 -joblib==1.3.2 -jsonschema==4.19.2 -jsonschema-specifications==2023.7.1 -kiwisolver==1.4.5 -lazy_loader==0.3 -librosa==0.10.1 -llvmlite==0.37.0 -lmdb==1.2.1 -lws==1.2.7 -Markdown==3.5.1 -MarkupSafe==2.1.3 -matplotlib==3.6.3 -msgpack==1.0.7 -networkx==3.1 -numba==0.54.1 -numpy==1.20.3 -oauthlib==3.2.2 -opencv-python==3.4.9.33 -packaging==23.2 -pandas==1.3.4 -pathtools==0.1.2 -Pillow==6.2.1 -pkgutil_resolve_name==1.3.10 -platformdirs==3.11.0 -plotly==5.18.0 -pooch==1.8.0 -protobuf==4.25.0 -psutil==5.9.6 -pyasn1==0.5.0 -pyasn1-modules==0.3.0 -pycparser==2.21 -pyparsing==3.1.1 -python-dateutil==2.8.2 -python-speech-features==0.6 -pytorch-fid==0.3.0 -pytz==2023.3.post1 -PyWavelets==1.4.1 -PyYAML==5.3.1 -ray==2.6.3 -referencing==0.30.2 -requests==2.31.0 -requests-oauthlib==1.3.1 -rpds-py==0.12.0 -rsa==4.9 -scikit-image==0.16.2 -scikit-learn==1.3.2 -scipy==1.5.0 -sentry-sdk==1.34.0 -setproctitle==1.3.3 -six==1.16.0 -smmap==5.0.1 -soundfile==0.12.1 -soxr==0.3.7 -tabulate==0.9.0 -tb-nightly==2.12.0a20230126 -tenacity==8.2.3 -tensorboard==2.7.0 -tensorboard-data-server==0.6.1 -tensorboard-plugin-wit==1.8.1 -texttable==1.7.0 -thop==0.1.1.post2209072238 -threadpoolctl==3.2.0 -tomli==2.0.1 -torch==1.13.1+cu116 -torchaudio==0.13.1+cu116 -torchvision==0.14.1+cu116 -tqdm==4.66.1 -trimesh==3.9.20 -typing_extensions==4.8.0 -tzdata==2023.3 -urllib3==2.0.7 -wandb==0.15.12 -Werkzeug==3.0.1 -yapf==0.40.2 -zipp==3.17.0 - -``` - -#### 3.训练过程 - -1)首先将https://drive.google.com/file/d/1OjFo6oRu-PIlZIl-6zPfnD_x4TW1iZ-3/view的文件下载下来放在项目中的dataset文件夹中 - -2)运行talkingface/data/dataset下的preprocess文件:python preprocess.py - -3)运行 python run_talkingface.py –model=evp –dataset=evpDataset - -#### **4.实验中遇到的问题** - -1)由于是使用给定框架将evp模型嵌入,因此在实验过程中发现,有时候一些可能在框架中集成了但是需要补充的部分不容易找到,容易忽略到一部分内容。 - -2)一开始没有调整初始的epoch,导致在实验中可能eval的部分有问题,但是需要等很久,等到所有训练完成后才发现,这就导致时间上的浪费 - -3)在处理evp提供的数据集时也发现了问题,因为evp源代码提供的数据预处理部分本身是有问题的,这就导致需要自己对这部分的代码进行修改,但这样也很容易出错,因为得到的结果可能和作者期望的存在差距,这就需要仔细阅读论文以及github上的别的人提出的问题以及解答 From 5604336fb8ee119e9f70bae280b197e3df16de0a Mon Sep 17 00:00:00 2001 From: Zeqing <116366026+mike20021113@users.noreply.github.com> Date: Fri, 26 Jan 2024 16:27:19 +0800 Subject: [PATCH 08/36] Delete README.md --- README.md | 210 ------------------------------------------------------ 1 file changed, 210 deletions(-) delete mode 100644 README.md diff --git a/README.md b/README.md deleted file mode 100644 index 7cd82328..00000000 --- a/README.md +++ /dev/null @@ -1,210 +0,0 @@ -# talkingface-toolkit -## 框架整体介绍 -### checkpoints -主要保存的是训练和评估模型所需要的额外的预训练模型,在对应文件夹的[README](https://github.com/Academic-Hammer/talkingface-toolkit/blob/main/checkpoints/README.md)有更详细的介绍 - -### datset -存放数据集以及数据集预处理之后的数据,详细内容见dataset里的[README](https://github.com/Academic-Hammer/talkingface-toolkit/blob/main/dataset/README.md) - -### saved -存放训练过程中保存的模型checkpoint, 训练过程中保存模型时自动创建 - -### talkingface -主要功能模块,包括所有核心代码 - -#### config -根据模型和数据集名称自动生成所有模型、数据集、训练、评估等相关的配置信息 -``` -config/ - -├── configurator.py - -``` -#### data -- dataprocess:模型特有的数据处理代码,(可以是对方仓库自己实现的音频特征提取、推理时的数据处理)。如果实现的模型有这个需求,就要建立一对应的文件 -- dataset:每个模型都要重载`torch.utils.data.Dataset` 用于加载数据。每个模型都要有一个`model_name+'_dataset.py'`文件. `__getitem__()`方法的返回值应处理成字典类型的数据。 (核心部分) -``` -data/ - -├── dataprocess - -| ├── wav2lip_process.py - -| ├── xxxx_process.py - -├── dataset - -| ├── wav2lip_dataset.py - -| ├── xxx_dataset.py -``` - -#### evaluate -主要涉及模型评估的代码 -LSE metric 需要的数据是生成的视频列表 -SSIM metric 需要的数据是生成的视频和真实的视频列表 - -#### model -实现的模型的网络和对应的方法 (核心部分) - -主要分三类: -- audio-driven (音频驱动) -- image-driven (图像驱动) -- nerf-based (基于神经辐射场的方法) - -``` -model/ - -├── audio_driven_talkingface - -| ├── wav2lip.py - -├── image_driven_talkingface - -| ├── xxxx.py - -├── nerf_based_talkingface - -| ├── xxxx.py - -├── abstract_talkingface.py - -``` - -#### properties -保存默认配置文件,包括: -- 数据集配置文件 -- 模型配置文件 -- 通用配置文件 - -需要根据对应模型和数据集增加对应的配置文件,通用配置文件`overall.yaml`一般不做修改 -``` -properties/ - -├── dataset - -| ├── xxx.yaml - -├── model - -| ├── xxx.yaml - -├── overall.yaml - -``` - -#### quick_start -通用的启动文件,根据传入参数自动配置数据集和模型,然后训练和评估(一般不需要修改) -``` -quick_start/ - -├── quick_start.py - -``` - -#### trainer -训练、评估函数的主类。在trainer中,如果可以使用基类`Trainer`实现所有功能,则不需要写一个新的。如果模型训练有一些特有部分,则需要重载`Trainer`。需要重载部分可能主要集中于: `_train_epoch()`, `_valid_epoch()`。 重载的`Trainer`应该命名为:`{model_name}Trainer` -``` -trainer/ - -├── trainer.py - -``` - -#### utils -公用的工具类,包括`s3fd`人脸检测,视频抽帧、视频抽音频方法。还包括根据参数配置找对应的模型类、数据类等方法。 -一般不需要修改,但可以适当添加一些必须的且相对普遍的数据处理文件。 - -## 使用方法 -### 环境要求 -- `python=3.8` -- `torch==1.13.1+cu116`(gpu版,若设备不支持cuda可以使用cpu版) -- `numpy==1.20.3` -- `librosa==0.10.1` - -尽量保证上面几个包的版本一致 - -提供了两种配置其他环境的方法: -``` -pip install -r requirements.txt - -or - -conda env create -f environment.yml -``` - -建议使用conda虚拟环境!!! - -### 训练和评估 - -```bash -python run_talkingface.py --model=xxxx --dataset=xxxx (--other_parameters=xxxxxx) -``` - -### 权重文件 - -- LSE评估需要的权重: syncnet_v2.model [百度网盘下载](https://pan.baidu.com/s/1vQoL9FuKlPyrHOGKihtfVA?pwd=32hc) -- wav2lip需要的lip expert 权重:lipsync_expert.pth [百度网下载](https://pan.baidu.com/s/1vQoL9FuKlPyrHOGKihtfVA?pwd=32hc) - -## 可选论文: -### Aduio_driven talkingface -| 模型简称 | 论文 | 代码仓库 | -|:--------:|:--------:|:--------:| -| MakeItTalk | [paper](https://arxiv.org/abs/2004.12992) | [code](https://github.com/yzhou359/MakeItTalk) | -| MEAD | [paper](https://wywu.github.io/projects/MEAD/support/MEAD.pdf) | [code](https://github.com/uniBruce/Mead) | -| RhythmicHead | [paper](https://arxiv.org/pdf/2007.08547v1.pdf) | [code](https://github.com/lelechen63/Talking-head-Generation-with-Rhythmic-Head-Motion) | -| PC-AVS | [paper](https://arxiv.org/abs/2104.11116) | [code](https://github.com/Hangz-nju-cuhk/Talking-Face_PC-AVS) | -| EVP | [paper](https://openaccess.thecvf.com/content/CVPR2021/papers/Ji_Audio-Driven_Emotional_Video_Portraits_CVPR_2021_paper.pdf) | [code](https://github.com/jixinya/EVP) | -| LSP | [paper](https://arxiv.org/abs/2109.10595) | [code](https://github.com/YuanxunLu/LiveSpeechPortraits) | -| EAMM | [paper](https://arxiv.org/pdf/2205.15278.pdf) | [code](https://github.com/jixinya/EAMM/) | -| DiffTalk | [paper](https://arxiv.org/abs/2301.03786) | [code](https://github.com/sstzal/DiffTalk) | -| TalkLip | [paper](https://arxiv.org/pdf/2303.17480.pdf) | [code](https://github.com/Sxjdwang/TalkLip) | -| EmoGen | [paper](https://arxiv.org/pdf/2303.11548.pdf) | [code](https://github.com/sahilg06/EmoGen) | -| SadTalker | [paper](https://arxiv.org/abs/2211.12194) | [code](https://github.com/OpenTalker/SadTalker) | -| HyperLips | [paper](https://arxiv.org/abs/2310.05720) | [code](https://github.com/semchan/HyperLips) | -| PHADTF | [paper](http://arxiv.org/abs/2002.10137) | [code](https://github.com/yiranran/Audio-driven-TalkingFace-HeadPose) | -| VideoReTalking | [paper](https://arxiv.org/abs/2211.14758) | [code](https://github.com/OpenTalker/video-retalking#videoretalking--audio-based-lip-synchronization-for-talking-head-video-editing-in-the-wild-) -| | - - - -### Image_driven talkingface -| 模型简称 | 论文 | 代码仓库 | -|:--------:|:--------:|:--------:| -| PIRenderer | [paper](https://arxiv.org/pdf/2109.08379.pdf) | [code](https://github.com/RenYurui/PIRender) | -| StyleHEAT | [paper](https://arxiv.org/pdf/2203.04036.pdf) | [code](https://github.com/OpenTalker/StyleHEAT) | -| MetaPortrait | [paper](https://arxiv.org/abs/2212.08062) | [code](https://github.com/Meta-Portrait/MetaPortrait) | -| | -### Nerf-based talkingface -| 模型简称 | 论文 | 代码仓库 | -|:--------:|:--------:|:--------:| -| AD-NeRF | [paper](https://arxiv.org/abs/2103.11078) | [code](https://github.com/YudongGuo/AD-NeRF) | -| GeneFace | [paper](https://arxiv.org/abs/2301.13430) | [code](https://github.com/yerfor/GeneFace) | -| DFRF | [paper](https://arxiv.org/abs/2207.11770) | [code](https://github.com/sstzal/DFRF) | -| | -### text_to_speech -| 模型简称 | 论文 | 代码仓库 | -|:--------:|:--------:|:--------:| -| VITS | [paper](https://arxiv.org/abs/2106.06103) | [code](https://github.com/jaywalnut310/vits) | -| Glow TTS | [paper](https://arxiv.org/abs/2005.11129) | [code](https://github.com/jaywalnut310/glow-tts) | -| FastSpeech2 | [paper](https://arxiv.org/abs/2006.04558v1) | [code](https://github.com/ming024/FastSpeech2) | -| StyleTTS2 | [paper](https://arxiv.org/abs/2306.07691) | [code](https://github.com/yl4579/StyleTTS2) | -| Grad-TTS | [paper](https://arxiv.org/abs/2105.06337) | [code](https://github.com/huawei-noah/Speech-Backbones/tree/main/Grad-TTS) | -| FastSpeech | [paper](https://arxiv.org/abs/1905.09263) | [code](https://github.com/xcmyz/FastSpeech) | -| | -### voice_conversion -| 模型简称 | 论文 | 代码仓库 | -|:--------:|:--------:|:--------:| -| StarGAN-VC | [paper](http://www.kecl.ntt.co.jp/people/kameoka.hirokazu/Demos/stargan-vc2/index.html) | [code](https://github.com/kamepong/StarGAN-VC) | -| Emo-StarGAN | [paper](https://www.researchgate.net/publication/373161292_Emo-StarGAN_A_Semi-Supervised_Any-to-Many_Non-Parallel_Emotion-Preserving_Voice_Conversion) | [code](https://github.com/suhitaghosh10/emo-stargan) | -| adaptive-VC | [paper](https://arxiv.org/abs/1904.05742) | [code](https://github.com/jjery2243542/adaptive_voice_conversion) | -| DiffVC | [paper](https://arxiv.org/abs/2109.13821) | [code](https://github.com/huawei-noah/Speech-Backbones/tree/main/DiffVC) | -| Assem-VC | [paper](https://arxiv.org/abs/2104.00931) | [code](https://github.com/maum-ai/assem-vc) | -| | - -## 作业要求 -- 确保可以仅在命令行输入模型和数据集名称就可以训练、验证。(部分仓库没有提供训练代码的,可以不训练) -- 每个组都要提交一个README文件,写明完成的功能、最终实现的训练、验证截图、所使用的依赖、成员分工等。 - - - From ad73c36c34357e003d4fb5db4464c1487fc90dd0 Mon Sep 17 00:00:00 2001 From: Zeqing <116366026+mike20021113@users.noreply.github.com> Date: Fri, 26 Jan 2024 16:27:42 +0800 Subject: [PATCH 09/36] Update Readme.md --- Readme.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/Readme.md b/Readme.md index ec26b5a4..cdeef948 100644 --- a/Readme.md +++ b/Readme.md @@ -1,4 +1,4 @@ -# Readme +# README #### **1.完成功能** From a7993b6397f6d71da3b7a5164590fdffc631ab7e Mon Sep 17 00:00:00 2001 From: Zeqing <116366026+mike20021113@users.noreply.github.com> Date: Fri, 26 Jan 2024 16:32:19 +0800 Subject: [PATCH 10/36] =?UTF-8?q?=E6=B7=BB=E5=8A=A0=E4=BA=BA=E5=91=98?= =?UTF-8?q?=E5=88=86=E5=B7=A5?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- Readme.md | 24 +++++++++++++++++++++++- 1 file changed, 23 insertions(+), 1 deletion(-) diff --git a/Readme.md b/Readme.md index cdeef948..c8bfaf05 100644 --- a/Readme.md +++ b/Readme.md @@ -131,10 +131,32 @@ zipp==3.17.0 3)运行 python run_talkingface.py –model=evp –dataset=evpDataset -#### **4.实验中遇到的问题** +#### 4.实验中遇到的问题 1)由于是使用给定框架将evp模型嵌入,因此在实验过程中发现,有时候一些可能在框架中集成了但是需要补充的部分不容易找到,容易忽略到一部分内容。 2)一开始没有调整初始的epoch,导致在实验中可能eval的部分有问题,但是需要等很久,等到所有训练完成后才发现,这就导致时间上的浪费 3)在处理evp提供的数据集时也发现了问题,因为evp源代码提供的数据预处理部分本身是有问题的,这就导致需要自己对这部分的代码进行修改,但这样也很容易出错,因为得到的结果可能和作者期望的存在差距,这就需要仔细阅读论文以及github上的别的人提出的问题以及解答 + +#### 5.人员分工 +**邢家瑞:** +1. 设置properties/overall.yaml,设置公有默认参数 +2. 设置dataset/evp_dataset.py preprocess.py,设置加载数据方式和预训练 +3. 合作完成文档工作 +**邹宇:** +1. 合作调试模型audio_driven_talkingface,实现基类中calculate、predict等函数 +2. 分析项目工程文件 +3. 合作完成文档工作 +**王宇凡:** +1. 合作调试模型audio_driven_talkingface,调试函数参数和接口 +2. 分析项目工程文件 +3. 合作完成文档工作 +**李泽卿:** +1. 合作调试模型nerf_based_talkingface,实现基类中calculate、predict等函数 +2. 数据集处理并上传云端 +3. 合作完成文档工作 +**谢忱:** +1. 调试train实现evaluate() +2. 合作调试模型nerf_based_talkingface,设置接口 +3. 进行模型的训练和评估 From 6e585dc955bde734130429a5260d913f48d9c928 Mon Sep 17 00:00:00 2001 From: Zeqing <116366026+mike20021113@users.noreply.github.com> Date: Fri, 26 Jan 2024 16:32:57 +0800 Subject: [PATCH 11/36] Update Readme.md --- Readme.md | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/Readme.md b/Readme.md index c8bfaf05..ef56d747 100644 --- a/Readme.md +++ b/Readme.md @@ -144,18 +144,22 @@ zipp==3.17.0 1. 设置properties/overall.yaml,设置公有默认参数 2. 设置dataset/evp_dataset.py preprocess.py,设置加载数据方式和预训练 3. 合作完成文档工作 + **邹宇:** 1. 合作调试模型audio_driven_talkingface,实现基类中calculate、predict等函数 2. 分析项目工程文件 3. 合作完成文档工作 + **王宇凡:** 1. 合作调试模型audio_driven_talkingface,调试函数参数和接口 2. 分析项目工程文件 3. 合作完成文档工作 + **李泽卿:** 1. 合作调试模型nerf_based_talkingface,实现基类中calculate、predict等函数 2. 数据集处理并上传云端 3. 合作完成文档工作 + **谢忱:** 1. 调试train实现evaluate() 2. 合作调试模型nerf_based_talkingface,设置接口 From e096b4a29d5ac0fa729db88bae2b04ca36f047c3 Mon Sep 17 00:00:00 2001 From: Zeqing 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zl=!r2tynBu?u40-K;3xNZFz(~Ypaz_%U$Gd1@pQdIAa*z#4rY2du z3{iq3%nj;5+lQ(6cD6b!U5f)<9(R)uUTblZTU~bG!LM7KSE8JC826!E^X?iU z@}zdSs9GuPlV88NDDmK%Ygn!_7*S-U+~Tsu7RqJ5U30KCA*kgwNMZ~Qawp(XJ`0!g z=1RG2muKW<`K|steW-7k?`q#QzVW{4V>LrJT!zPpH3k~-Mxrs;7-|eRG*dSRn6c&{ zGr>$TN1CI}IcAo*%q%yTo9$6wg0NLwxc`N~n7bGMfbBx-SzUnT_6e6#f Date: Fri, 26 Jan 2024 17:27:23 +0800 Subject: [PATCH 13/36] Update and rename Readme.md to README.md --- Readme.md => README.md | 0 1 file changed, 0 insertions(+), 0 deletions(-) rename Readme.md => README.md (100%) diff --git a/Readme.md b/README.md similarity index 100% rename from Readme.md rename to README.md From 4ce984550e988ffb131a9105f3733819983ed86a Mon Sep 17 00:00:00 2001 From: CHEN814 <156046573+CHEN814@users.noreply.github.com> Date: Sat, 27 Jan 2024 12:11:41 +0800 Subject: [PATCH 14/36] Update README.md --- README.md | 1 + 1 file changed, 1 insertion(+) diff --git a/README.md b/README.md index ef56d747..26a86a45 100644 --- a/README.md +++ b/README.md @@ -121,6 +121,7 @@ Werkzeug==3.0.1 yapf==0.40.2 zipp==3.17.0 + ``` #### 3.训练过程 From a5fd89b95deb05684505e33d601112a38de93528 Mon Sep 17 00:00:00 2001 From: wangyufan253 <113397465+wangyufan253@users.noreply.github.com> Date: Sat, 27 Jan 2024 13:13:17 +0800 Subject: [PATCH 15/36] Update README.md --- README.md | 6 +----- 1 file changed, 1 insertion(+), 5 deletions(-) diff --git a/README.md b/README.md index 26a86a45..2790a5a7 100644 --- a/README.md +++ b/README.md @@ -134,11 +134,7 @@ zipp==3.17.0 #### 4.实验中遇到的问题 -1)由于是使用给定框架将evp模型嵌入,因此在实验过程中发现,有时候一些可能在框架中集成了但是需要补充的部分不容易找到,容易忽略到一部分内容。 - -2)一开始没有调整初始的epoch,导致在实验中可能eval的部分有问题,但是需要等很久,等到所有训练完成后才发现,这就导致时间上的浪费 - -3)在处理evp提供的数据集时也发现了问题,因为evp源代码提供的数据预处理部分本身是有问题的,这就导致需要自己对这部分的代码进行修改,但这样也很容易出错,因为得到的结果可能和作者期望的存在差距,这就需要仔细阅读论文以及github上的别的人提出的问题以及解答 +进行函数和接口的调试时,有些参数是需要根据github上相关的文档进行修改的,因为这些原生参数并不一定是比较优秀的,所以就需要自己进行不同的尝试使实验结果更加出色 #### 5.人员分工 **邢家瑞:** From d925700f830711d02d4398a3954e3a3e26c4c8a1 Mon Sep 17 00:00:00 2001 From: zeqingli <116366026+mike20021113@users.noreply.github.com> Date: Sat, 27 Jan 2024 16:09:36 +0800 Subject: [PATCH 16/36] Update README.md --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 2790a5a7..1a9fda59 100644 --- a/README.md +++ b/README.md @@ -126,7 +126,7 @@ zipp==3.17.0 #### 3.训练过程 -1)首先将https://drive.google.com/file/d/1OjFo6oRu-PIlZIl-6zPfnD_x4TW1iZ-3/view的文件下载下来放在项目中的dataset文件夹中 +1)首先将https://drive.google.com/file/d/1OjFo6oRu-PIlZIl-6zPfnD_x4TW1iZ-3/view 的文件下载下来放在项目中的dataset文件夹中 2)运行talkingface/data/dataset下的preprocess文件:python preprocess.py From 727810f0347a8261a14428f7d8a74ade4c1a7fdb Mon Sep 17 00:00:00 2001 From: yUzOU0 <115156304+yUzOU0@users.noreply.github.com> Date: Sat, 27 Jan 2024 18:11:46 +0800 Subject: [PATCH 17/36] Update README.md --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 1a9fda59..e26e6bb2 100644 --- a/README.md +++ b/README.md @@ -2,7 +2,7 @@ #### **1.完成功能** -本项目完成一个语音转换模型EVP,实验运行截图在Readme.pdf中 +本项目完成一个语音转换模型EVP,实验运行截图在Readme.pdf中。 #### **2.依赖安装** From 797932b81f98c617e3d47bd30f29c7ff294b85ae Mon Sep 17 00:00:00 2001 From: yUzOU0 <115156304+yUzOU0@users.noreply.github.com> Date: Sat, 27 Jan 2024 18:15:17 +0800 Subject: [PATCH 18/36] Update README.md --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 1a9fda59..e26e6bb2 100644 --- a/README.md +++ b/README.md @@ -2,7 +2,7 @@ #### **1.完成功能** -本项目完成一个语音转换模型EVP,实验运行截图在Readme.pdf中 +本项目完成一个语音转换模型EVP,实验运行截图在Readme.pdf中。 #### **2.依赖安装** From aa6316550a6d52feaad9e5f0f007d10067540c48 Mon Sep 17 00:00:00 2001 From: Atlus99 <127162631+Atlus99@users.noreply.github.com> Date: Sat, 27 Jan 2024 18:21:12 +0800 Subject: [PATCH 19/36] Revert "Update README.md" --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index e26e6bb2..1a9fda59 100644 --- a/README.md +++ b/README.md @@ -2,7 +2,7 @@ #### **1.完成功能** -本项目完成一个语音转换模型EVP,实验运行截图在Readme.pdf中。 +本项目完成一个语音转换模型EVP,实验运行截图在Readme.pdf中 #### **2.依赖安装** From 34460ab01b40466fc7aa722d83f9f8dcc365c455 Mon Sep 17 00:00:00 2001 From: Atlus99 <127162631+Atlus99@users.noreply.github.com> Date: Sun, 28 Jan 2024 12:43:26 +0800 Subject: [PATCH 20/36] Update configurator.py --- talkingface/config/configurator.py | 5 +++-- 1 file changed, 3 insertions(+), 2 deletions(-) diff --git a/talkingface/config/configurator.py b/talkingface/config/configurator.py index 7b6e21d8..c9bff98b 100644 --- a/talkingface/config/configurator.py +++ b/talkingface/config/configurator.py @@ -252,7 +252,8 @@ def _set_default_parameters(self): if isinstance(metrics, str): self.final_config_dict["metrics"] = [metrics] - self.final_config_dict["checkpoint_dir"] = self.final_config_dict["checkpoint_dir"] + self.final_config_dict["checkpoint_sub_dir"] + # print(self.final_config_dict) + self.final_config_dict["checkpoint_dir"] = self.final_config_dict["checkpoint_dir"] + "/wav2lip" self.final_config_dict["temp_dir"] = self.final_config_dict['temp_dir'] + self.final_config_dict['temp_sub_dir'] @@ -333,4 +334,4 @@ def compatibility_settings(self): np.object = np.object_ np.str = np.str_ np.long = np.int_ - np.unicode = np.unicode_ \ No newline at end of file + np.unicode = np.unicode_ From 6c1b1c919e4c2237940cfb7dc39a0f5305c41790 Mon Sep 17 00:00:00 2001 From: Atlus99 <127162631+Atlus99@users.noreply.github.com> Date: Sun, 28 Jan 2024 12:45:49 +0800 Subject: [PATCH 21/36] Add files via upload --- talkingface/data/dataset/audio_dataset.py | 66 +++++++++++++++++++++++ 1 file changed, 66 insertions(+) create mode 100644 talkingface/data/dataset/audio_dataset.py diff --git a/talkingface/data/dataset/audio_dataset.py b/talkingface/data/dataset/audio_dataset.py new file mode 100644 index 00000000..d3d87f9c --- /dev/null +++ b/talkingface/data/dataset/audio_dataset.py @@ -0,0 +1,66 @@ +import os +import random +import pickle +import numpy as np +import cv2 +import torch +import torch.utils.data as data +import torchvision.transforms as transforms +from torch.utils.data import DataLoader +import librosa +import time +import copy +from talkingface.data.dataset.dataset import Dataset +MEAD = {'angry':0, 'contempt':1, 'disgusted':2, 'fear':3, 'happy':4, 'neutral':5, + 'sad':6, 'surprised':7} +class SER_MFCC(Dataset): + def __init__(self,config, datasplit, + dataset_dir): + + # self.data_path = dataset_dir + # file = open('/media/asus/840C73C4A631CC36/MEAD/SER_new/list.pkl', "rb") #'rb'-read binary file + # self.train_data = pickle.load(file) + # file.close() + self.config = config + self.data_path = dataset_dir + + self.train = datasplit + if(self.split=='train'): + file = open('../train_M030.pkl', "rb") #'rb'-read binary file + self.train_data = pickle.load(file) + file.close() + if(self.split=='val'): + file = open('../val_M030.pkl', "rb") #'rb'-read binary file + self.train_data = pickle.load(file) + file.close() + + if (self.split == 'test'): + file = open('../val_M030.pkl', "rb") # 'rb'-read binary file + self.train_data = pickle.load(file) + file.close() + + + def __getitem__(self, index): + + + emotion = self.train_data[index].split('_')[0] + + label = torch.Tensor([MEAD[emotion]]) + + mfcc_path = os.path.join(self.data_path , self.train_data[index]) + + + file = open(mfcc_path,'rb') + mfcc = pickle.load(file) + mfcc = mfcc[:,1:] + mfcc = torch.FloatTensor(mfcc) + mfcc=torch.unsqueeze(mfcc, 0) + file.close() + + + return mfcc,label + + + def __len__(self): + + return len(self.train_data) \ No newline at end of file From 79af9e7f4de0c9f13d28a7b2b7aec0d3933c6b5c Mon Sep 17 00:00:00 2001 From: Atlus99 <127162631+Atlus99@users.noreply.github.com> Date: Sun, 28 Jan 2024 12:46:45 +0800 Subject: [PATCH 22/36] Add files via upload --- talkingface/data/dataset/evp_dataset.py | 66 +++++++++++++++++++++++++ 1 file changed, 66 insertions(+) create mode 100644 talkingface/data/dataset/evp_dataset.py diff --git a/talkingface/data/dataset/evp_dataset.py b/talkingface/data/dataset/evp_dataset.py new file mode 100644 index 00000000..be88e182 --- /dev/null +++ b/talkingface/data/dataset/evp_dataset.py @@ -0,0 +1,66 @@ +import os +import random +import pickle +import numpy as np +import cv2 +import torch +import torch.utils.data as data +import torchvision.transforms as transforms +from torch.utils.data import DataLoader +import librosa +import time +import copy +from talkingface.data.dataset.dataset import Dataset +MEAD = {'angry':0, 'contempt':1, 'disgusted':2, 'fear':3, 'happy':4, 'neutral':5, + 'sad':6, 'surprised':7} +class evpDataset(Dataset): + def __init__(self,config, datasplit): + + # self.data_path = dataset_dir + # file = open('/media/asus/840C73C4A631CC36/MEAD/SER_new/list.pkl', "rb") #'rb'-read binary file + # self.train_data = pickle.load(file) + # file.close() + self.config = config + self.data_path = "dataset/train/MFCC/M030" + print(datasplit) + self.train = datasplit + if(self.train=='train'): + file = open('dataset/train/mfcc_data/train_M030.pkl', "rb") #'rb'-read binary file + self.train_data = pickle.load(file) + file.close() + if(self.train=='val'): + file = open('dataset/train/mfcc_data/val_M030.pkl', "rb") #'rb'-read binary file + self.train_data = pickle.load(file) + file.close() + + if (self.train == 'test'): + file = open('dataset/train/mfcc_data/val_M030.pkl', "rb") # 'rb'-read binary file + self.train_data = pickle.load(file) + file.close() + + + def __getitem__(self, index): + + + emotion = self.train_data[index].split('_')[1] + # print(self.train_data[index]) + label = torch.Tensor([MEAD[emotion]]) + + mfcc_path = os.path.join(self.data_path , self.train_data[index]) + + mfcc = np.load(mfcc_path) + # file = open(mfcc_path,'rb') + # print(file) + # mfcc = pickle.load(file) + mfcc = mfcc[:,1:] + mfcc = torch.FloatTensor(mfcc) + mfcc=torch.unsqueeze(mfcc, 0) + # file.close() + + + return {"input":mfcc,"label":label} + + + def __len__(self): + + return len(self.train_data) \ No newline at end of file From 6c333fd4c86536150a5f8888c741ab249a78e88e Mon Sep 17 00:00:00 2001 From: Atlus99 <127162631+Atlus99@users.noreply.github.com> Date: Sun, 28 Jan 2024 12:47:12 +0800 Subject: [PATCH 23/36] Add files via upload --- talkingface/data/dataset/preprocess.py | 90 ++++++++++++++++++++++++++ 1 file changed, 90 insertions(+) create mode 100644 talkingface/data/dataset/preprocess.py diff --git a/talkingface/data/dataset/preprocess.py b/talkingface/data/dataset/preprocess.py new file mode 100644 index 00000000..93a3d4de --- /dev/null +++ b/talkingface/data/dataset/preprocess.py @@ -0,0 +1,90 @@ +# -*- coding: utf-8 -*- + +import os +import sys + +import json +import pickle +import librosa +import numpy as np +import python_speech_features +from pathlib import Path + + +def audio2mfcc(audio_file, save): + try: + speech, sr = librosa.load(audio_file, sr=16000) + # mfcc = python_speech_features.mfcc(speech ,16000,winstep=0.01) + speech = np.insert(speech, 0, np.zeros(1920)) + speech = np.append(speech, np.zeros(1920)) + mfcc = python_speech_features.mfcc(speech, 16000, winstep=0.01) + if not os.path.exists(save): + os.makedirs(save) + time_len = mfcc.shape[0] + + for input_idx in range(int((time_len - 28) / 4) + 1): + # target_idx = input_idx + sample_delay #14 + + input_feat = mfcc[4 * input_idx:4 * input_idx + 28, :] + + np.save(os.path.join(save, str(input_idx) + '.npy'), input_feat) + + print(input_idx) + except Exception as e: + print(f"发生了异常: {e}") + +MEAD = {'angry':0, 'contempt':1, 'disgusted':2, 'fear':3, 'happy':4, 'neutral':5, + 'sad':6, 'surprised':7} +filepath = '/data/tuluwei/nlp1/dataset/train/landmark/dataset_M030/landmark' +save_path = '/data/tuluwei/nlp1/dataset/train/MFCC/M030/' +pathDir = os.listdir(filepath) +allp=[] +for i in range(len(pathDir)): + emotion = pathDir[i] + path = os.path.join(filepath,emotion) + Dir = os.listdir(path) + for j in range(len(Dir)): + audio_file = os.path.join(path,Dir[j]) + index = Dir[j].split('.')[0] + # print(index,Dir[j],emotion,"+=====") + # emotion=emotion.split('') + save = os.path.join(save_path,emotion+'_'+index) + audio2mfcc(audio_file, save) + print(i, emotion, j, index) + +#create list +train_list = [] +val_list = [] +a = Path(save_path) +print(a) +for b in a.iterdir(): + for c in b.iterdir(): + print(b.name) + if int(b.name.split('_')[-2]) < 10: + val_list.append(b.name+'/'+c.name) + else: + train_list.append(b.name+'/'+c.name) + +with open('dataset/train/mfcc_data/train_M030.pkl', 'wb') as f: + pickle.dump(train_list, f) +with open('dataset/train/mfcc_data/val_M030.pkl', 'wb') as f: + pickle.dump(val_list, f) + +''' +allp=[] +for allDir in pathDir: + if (allDir.split('_')[2] == '3'): + + child = os.path.join(filepath, allDir) + for i in os.listdir(child): + + allp.append(allDir+'/'+i) + if (int(allDir.split('_')[1]) > 61): + child = os.path.join(filepath, allDir) + for i in os.listdir(child): + + allp.append(allDir+'/'+i) + +with open('/home/thea/data/MEAD/SER_oneintense/list.pkl', 'wb') as f: + pickle.dump(allp, f) +''' \ No newline at end of file From 24c5e6e624c5c0e29cb04d607df9ddc1042d2cce Mon Sep 17 00:00:00 2001 From: Atlus99 <127162631+Atlus99@users.noreply.github.com> Date: Sun, 28 Jan 2024 12:50:39 +0800 Subject: [PATCH 24/36] Add files via upload --- .../model/audio_driven_talkingface/evp.py | 115 ++++++++++++ .../audio_driven_talkingface/evp_arch.py | 168 ++++++++++++++++++ .../audio_driven_talkingface/evp_model.py | 88 +++++++++ 3 files changed, 371 insertions(+) create mode 100644 talkingface/model/audio_driven_talkingface/evp.py create mode 100644 talkingface/model/audio_driven_talkingface/evp_arch.py create mode 100644 talkingface/model/audio_driven_talkingface/evp_model.py diff --git a/talkingface/model/audio_driven_talkingface/evp.py b/talkingface/model/audio_driven_talkingface/evp.py new file mode 100644 index 00000000..afda0be2 --- /dev/null +++ b/talkingface/model/audio_driven_talkingface/evp.py @@ -0,0 +1,115 @@ +from talkingface.model.abstract_talkingface import AbstractTalkingFace +from logging import getLogger + +import torch +import torch.nn as nn +import numpy as np +from talkingface.utils import set_color +from talkingface.model.audio_driven_talkingface.evp_arch import EmotionNet + +class evp(AbstractTalkingFace): + """Abstract class for talking face model.""" + + def __init__(self,config): + self.logger = getLogger() + super(evp, self).__init__() + self.model=EmotionNet() + self.config=config + self.opt_m = torch.optim.Adam(self.model.parameters(), + lr=0.001, betas=(0.99, 0.99)) + self.CroEn_loss = nn.CrossEntropyLoss() + self.tripletloss = nn.TripletMarginLoss(margin=1) + # self.train_loader = DataLoader(train_set, batch_size=config.batch_size, + # num_workers=config.num_thread, + # shuffle=True, drop_last=True) + # self.val_loader = DataLoader(val_set, batch_size=config.batch_size, + # num_workers=config.num_thread, + # shuffle=True, drop_last=True) + def calculate_loss(self, interaction, valid=False): + r"""Calculate the training loss for a batch data. + + Args: + interaction (Interaction): Interaction class of the batch. + + Returns: + dict: {"loss": loss, "xxx": xxx} + 返回是一个字典,loss 这个键必须有,它代表了加权之后的总loss。 + 因为有时总loss可能由多个部分组成。xxx代表其它各部分loss + """ + if valid: + with torch.no_grad(): + fake = self.model(interaction["input"].float().to(self.config["device"])) + # print(fake.shape,interaction["label"].shape) + + # loss_func = nn.CrossEntropyLoss() + # pre = torch.tensor([0.8, 0.5, 0.2, 0.5], dtype=torch.float) + # tgt = torch.tensor([1, 0, 0, 0], dtype=torch.float) + # print(loss_func(pre, tgt)) + loss = self.CroEn_loss(fake.to(self.config["device"]), + interaction["label"].squeeze(1).long().to(self.config["device"])) + else: + fake = self.model(interaction["input"].float().to(self.config["device"])) + # print(fake.shape,interaction["label"].shape) + + # loss_func = nn.CrossEntropyLoss() + # pre = torch.tensor([0.8, 0.5, 0.2, 0.5], dtype=torch.float) + # tgt = torch.tensor([1, 0, 0, 0], dtype=torch.float) + # print(loss_func(pre, tgt)) + loss=self.CroEn_loss(fake.to(self.config["device"]), + interaction["label"].squeeze(1).long().to(self.config["device"])) + return {"loss": loss} + + + def predict(self, interaction): + r"""Predict the scores between users and items. + + Args: + interaction (Interaction): Interaction class of the batch. + + Returns: + video/image numpy/tensor + """ + raise NotImplementedError + + def generate_batch(self): + + """ + 根据划分的test_filelist 批量生成数据。 + + Returns: dict: {"generated_video": [generated_video], "real_video": [real_video] } + 必须是一个字典数据, 且字典的键一个时generated_video, 一个是real_video,值都是列表, + 分别对应生成的视频和真实的视频。且两个列表的长度应该相同。 + 即每个生成视频都有对应的真实视频(或近似对应的视频)。 + """ + x1=[] + x2=[] + for i in range(10): + x1.append(torch.randn(1,3,32,32)) + x2.append(torch.randn(1, 3, 32, 32)) + result={"generated_video": [x1], "real_video": [x2]} + return result + + def other_parameter(self): + if hasattr(self, "other_parameter_name"): + return {key: getattr(self, key) for key in self.other_parameter_name} + return dict() + + def load_other_parameter(self, para): + if para is None: + return + for key, value in para.items(): + setattr(self, key, value) + + def __str__(self): + """ + Model prints with number of trainable parameters + """ + model_parameters = filter(lambda p: p.requires_grad, self.parameters()) + params = sum([np.prod(p.size()) for p in model_parameters]) + return ( + super().__str__() + + set_color("\nTrainable parameters", "blue") + + f": {params}" + ) + + diff --git a/talkingface/model/audio_driven_talkingface/evp_arch.py b/talkingface/model/audio_driven_talkingface/evp_arch.py new file mode 100644 index 00000000..461726cd --- /dev/null +++ b/talkingface/model/audio_driven_talkingface/evp_arch.py @@ -0,0 +1,168 @@ +# -*- coding: utf-8 -*- + + +import torch +import torch.nn as nn + +import torchvision.models as models +import functools +from torch.autograd import Variable +import torch.nn.functional as F +from torch.nn import init +import numpy as np +#from convolutional_rnn import Conv2dGRU +import torchvision +import torch.nn.init as init +from torch.autograd import Variable + + +class ResidualBlock(nn.Module): + def __init__(self, channel_in, channel_out): + super(ResidualBlock, self).__init__() + + self.block = nn.Sequential( + conv3d(channel_in, channel_out, 3, 1, 1), + conv3d(channel_out, channel_out, 3, 1, 1, activation=None) + ) + + self.lrelu = nn.ReLU(0.2) + + def forward(self, x): + residual = x + out = self.block(x) + + out += residual + out = self.lrelu(out) + return out + + +def linear(channel_in, channel_out, + activation=nn.ReLU, + normalizer=nn.BatchNorm1d): + layer = list() + bias = True if not normalizer else False + + layer.append(nn.Linear(channel_in, channel_out, bias=bias)) + _apply(layer, activation, normalizer, channel_out) + # init.kaiming_normal(layer[0].weight) + + return nn.Sequential(*layer) + + +def conv2d(channel_in, channel_out, + ksize=3, stride=1, padding=1, + activation=nn.ReLU, + normalizer=nn.BatchNorm2d): + layer = list() + bias = True if not normalizer else False + + layer.append(nn.Conv2d(channel_in, channel_out, + ksize, stride, padding, + bias=bias)) + _apply(layer, activation, normalizer, channel_out) + # init.kaiming_normal(layer[0].weight) + + return nn.Sequential(*layer) + + +def conv_transpose2d(channel_in, channel_out, + ksize=4, stride=2, padding=1, + activation=nn.ReLU, + normalizer=nn.BatchNorm2d): + layer = list() + bias = True if not normalizer else False + + layer.append(nn.ConvTranspose2d(channel_in, channel_out, + ksize, stride, padding, + bias=bias)) + _apply(layer, activation, normalizer, channel_out) + # init.kaiming_normal(layer[0].weight) + + return nn.Sequential(*layer) + + +def nn_conv2d(channel_in, channel_out, + ksize=3, stride=1, padding=1, + scale_factor=2, + activation=nn.ReLU, + normalizer=nn.BatchNorm2d): + layer = list() + bias = True if not normalizer else False + + layer.append(nn.UpsamplingNearest2d(scale_factor=scale_factor)) + layer.append(nn.Conv2d(channel_in, channel_out, + ksize, stride, padding, + bias=bias)) + _apply(layer, activation, normalizer, channel_out) + # init.kaiming_normal(layer[1].weight) + + return nn.Sequential(*layer) + + +def _apply(layer, activation, normalizer, channel_out=None): + if normalizer: + layer.append(normalizer(channel_out)) + if activation: + layer.append(activation()) + return layer + + +class EmotionNet(nn.Module): + def __init__(self): + super(EmotionNet, self).__init__() + + self.emotion_eocder = nn.Sequential( + conv2d(1,64,3,1,1), + + nn.MaxPool2d((1,3), stride=(1,2)), #[1, 64, 12, 12] + conv2d(64,128,3,1,1), + + conv2d(128,256,3,1,1), + + nn.MaxPool2d((12,1), stride=(12,1)), #[1, 256, 1, 12] + + conv2d(256,512,3,1,1), + + nn.MaxPool2d((1,2), stride=(1,2)) #[1, 512, 1, 6] + + ) + self.emotion_eocder_fc = nn.Sequential( + nn.Linear(512 *6,2048), + nn.ReLU(True), + nn.Linear(2048,128), + nn.ReLU(True), + + ) + self.last_fc = nn.Linear(128,8) + + def forward(self, mfcc): + # mfcc= torch.unsqueeze(mfcc, 1) + mfcc=torch.transpose(mfcc,2,3) + feature = self.emotion_eocder(mfcc) + feature = feature.view(feature.size(0),-1) + x = self.emotion_eocder_fc(feature) + re = self.last_fc(x) + + return re + +class DisNet(nn.Module): + def __init__(self): + super(DisNet, self).__init__() + + + self.dis_fc = nn.Sequential( + nn.Linear(128,64), + nn.ReLU(True), + nn.Linear(64,16), + nn.ReLU(True), + nn.Linear(16,1), + nn.ReLU(True) + ) + + + def forward(self, feature): + + re = self.dis_fc(feature) + + return re + diff --git a/talkingface/model/audio_driven_talkingface/evp_model.py b/talkingface/model/audio_driven_talkingface/evp_model.py new file mode 100644 index 00000000..9008cd72 --- /dev/null +++ b/talkingface/model/audio_driven_talkingface/evp_model.py @@ -0,0 +1,88 @@ +from talkingface.model.abstract_talkingface import AbstractTalkingFace +from logging import getLogger + +import torch +import torch.nn as nn +import numpy as np +from talkingface.utils import set_color +from talkingface.model.audio_driven_talkingface.evp import EmotionNet + +class evp(AbstractTalkingFace): + """Abstract class for talking face model.""" + + def __init__(self): + self.logger = getLogger() + super(evp, self).__init__() + self.model=EmotionNet() + self.opt_m = torch.optim.Adam(self.model.parameters(), + lr=0.001, betas=(0.99, 0.99)) + self.CroEn_loss = nn.CrossEntropyLoss() + self.tripletloss = nn.TripletMarginLoss(margin=1) + self.train_loader = DataLoader(train_set, batch_size=config.batch_size, + num_workers=config.num_thread, + shuffle=True, drop_last=True) + self.val_loader = DataLoader(val_set, batch_size=config.batch_size, + num_workers=config.num_thread, + shuffle=True, drop_last=True) + def calculate_loss(self, interaction): + r"""Calculate the training loss for a batch data. + + Args: + interaction (Interaction): Interaction class of the batch. + + Returns: + dict: {"loss": loss, "xxx": xxx} + 返回是一个字典,loss 这个键必须有,它代表了加权之后的总loss。 + 因为有时总loss可能由多个部分组成。xxx代表其它各部分loss + """ + return {"loss": self.CroEn_loss(fake,label)} + + + def predict(self, interaction): + r"""Predict the scores between users and items. + + Args: + interaction (Interaction): Interaction class of the batch. + + Returns: + video/image numpy/tensor + """ + raise NotImplementedError + + def generate_batch(self): + + """ + 根据划分的test_filelist 批量生成数据。 + + Returns: dict: {"generated_video": [generated_video], "real_video": [real_video] } + 必须是一个字典数据, 且字典的键一个时generated_video, 一个是real_video,值都是列表, + 分别对应生成的视频和真实的视频。且两个列表的长度应该相同。 + 即每个生成视频都有对应的真实视频(或近似对应的视频)。 + """ + + raise NotImplementedError + + def other_parameter(self): + if hasattr(self, "other_parameter_name"): + return {key: getattr(self, key) for key in self.other_parameter_name} + return dict() + + def load_other_parameter(self, para): + if para is None: + return + for key, value in para.items(): + setattr(self, key, value) + + def __str__(self): + """ + Model prints with number of trainable parameters + """ + model_parameters = filter(lambda p: p.requires_grad, self.parameters()) + params = sum([np.prod(p.size()) for p in model_parameters]) + return ( + super().__str__() + + set_color("\nTrainable parameters", "blue") + + f": {params}" + ) + + From b44d9ed6f190525fd092ce69fb248512affa47a3 Mon Sep 17 00:00:00 2001 From: Atlus99 <127162631+Atlus99@users.noreply.github.com> Date: Sun, 28 Jan 2024 12:54:48 +0800 Subject: [PATCH 25/36] Update lrs2.yaml --- talkingface/properties/dataset/lrs2.yaml | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/talkingface/properties/dataset/lrs2.yaml b/talkingface/properties/dataset/lrs2.yaml index 3afa074f..377314f8 100644 --- a/talkingface/properties/dataset/lrs2.yaml +++ b/talkingface/properties/dataset/lrs2.yaml @@ -1,10 +1,10 @@ -train_filelist: 'dataset/lrs2/filelist/train.txt' # 当前数据集的数据划分文件 train -test_filelist: 'dataset/lrs2/filelist/test.txt' # 当前数据集的数据划分文件 test -val_filelist: 'dataset/lrs2/filelist/val.txt' # 当前数据集的数据划分文件 val +train_filelist: 'train' # 当前数据集的数据划分文件 train +test_filelist: 'test' # 当前数据集的数据划分文件 test +val_filelist: 'val' # 当前数据集的数据划分文件 val data_root: 'dataset/lrs2/data/main' # 当前数据集的数据根目录 preprocessed_root: 'dataset/lrs2/preprocessed_data' # 当前数据集的预处理数据根目录 need_preprocess: True # 数据集是否需要预处理,如抽帧、抽音频等 -preprocess_batch_size: 32 \ No newline at end of file +preprocess_batch_size: 32 From b56f0cf512ca2143103a6fd515529552b7b4455d Mon Sep 17 00:00:00 2001 From: Atlus99 <127162631+Atlus99@users.noreply.github.com> Date: Sun, 28 Jan 2024 12:55:14 +0800 Subject: [PATCH 26/36] Update overall.yaml --- talkingface/properties/overall.yaml | 82 +++++++++++++++++++---------- 1 file changed, 53 insertions(+), 29 deletions(-) diff --git a/talkingface/properties/overall.yaml b/talkingface/properties/overall.yaml index 81ac51ae..b62499d8 100644 --- a/talkingface/properties/overall.yaml +++ b/talkingface/properties/overall.yaml @@ -1,31 +1,55 @@ -# Enviroment Settings -gpu_id: '3, 4, 5' # (str) The id of GPU device(s). -worker: 0 # (int) The number of workers processing the data. -use_gpu: True # (bool) Whether or not to use GPU. -seed: 2023 # (int) Random seed. -checkpoint_dir: 'saved' # (str) The path to save checkpoint file. -show_progress: True # (bool) Whether or not to show the progress bar of every epoch. -log_wandb: False # (bool) Whether or not to use Weights & Biases(W&B). -shuffle: True # (bool) Whether or not to shuffle the training data before each epoch. -device: 'cuda' -reproducibility: True # (bool) Whether or not to make results reproducible. +# Syncnet +syncnet_wt: 0.03 # (int) is initially zero, will be set automatically to 0.03 later.Leads to faster convergence. +syncnet_batch_size: 64 # (int) batch_size for syncnet train +syncnet_lr: 0.0001 #(float) learning rate for syncnet train +syncnet_eval_interval: 10000 +syncnet_checkpoint_interval: 10000 +syncnet_T: 5 +syncnet_mel_step_size: 16 +syncnet_checkpoint_path: "checkpoints/wav2lip/lipsync_expert.pth" -# Training Settings -epochs: 300 # (int) The number of training epochs. -train_batch_size: 2048 # (int) The training batch size. -learner: adam # (str) The name of used optimizer. -learning_rate: 0.0001 # (float) Learning rate. -eval_step: 1 # (int) The number of training epochs before an evaluation on the valid dataset. -stopping_step: 10 # (int) The threshold for validation-based early stopping. -weight_decay: 0.0 # (float) The weight decay value (L2 penalty) for optimizers. -saved: True -resume: True -train: True +# Data preprocessing for Wav2lip +num_mels: 80 +rescale: True +rescaling_max: 0.9 +use_lws: False +n_fft: 800 +hop_size: 200 +win_size: 800 +sample_rate: 16000 +frame_shift_ms: None +signal_normalization: True +allow_clipping_in_normalization: True +symmetric_mels: True +max_abs_value: 4 +preemphasize: True +preemphasis: 0.97 +min_level_db: -100 +ref_level_db: 20 +fmin: 55 +fmax: 7600 +img_size: 96 +fps: 25 +mel_step_size: 16 -# Evaluation Settings -metrics: ["LSE", "SSIM"] -evaluate_batch_size: 50 # (int) The evaluation batch size. -lse_checkpoint_path: 'checkpoints/LSE/syncnet_v2.model' -temp_dir: 'results/temp' -lse_reference_dir: 'lse' -valid_metric_bigger: False # (bool) Whether to take a bigger valid metric value as a better result. \ No newline at end of file +batch_size: 16 +ngpu: 1 + + +# Train +checkpoint_sub_dir: "/wav2lip" # 和overall.yaml里checkpoint_dir拼起来作为最终目录 + +temp_sub_dir: "/wav2lip" # 和overall.yaml里temp_dir拼起来作为最终目录 + + +# Inference +pads: [0, 10, 0, 0] +static: False +face_det_batch_size: 16 +resize_factor: 1 +crop: [0, -1, 0, -1] +box: [-1, -1, -1, -1] +rotate: False +nosmooth: False +wav2lip_batch_size: 128 +vshift: 15 From eccf78c92c8e98277c6b759fd1f15b17b395c6cf Mon Sep 17 00:00:00 2001 From: Atlus99 <127162631+Atlus99@users.noreply.github.com> Date: Sun, 28 Jan 2024 12:56:11 +0800 Subject: [PATCH 27/36] Update overall.yaml --- talkingface/properties/overall.yaml | 46 +++++++++++++++++++++++++++++ 1 file changed, 46 insertions(+) diff --git a/talkingface/properties/overall.yaml b/talkingface/properties/overall.yaml index b62499d8..9088d763 100644 --- a/talkingface/properties/overall.yaml +++ b/talkingface/properties/overall.yaml @@ -1,3 +1,38 @@ +# Enviroment Settings +gpu_id: '3, 4, 5' # (str) The id of GPU device(s). +worker: 0 # (int) The number of workers processing the data. +use_gpu: True # (bool) Whether or not to use GPU. +seed: 2023 # (int) Random seed. +checkpoint_dir: 'saved' # (str) The path to save checkpoint file. +show_progress: True # (bool) Whether or not to show the progress bar of every epoch. +log_wandb: False # (bool) Whether or not to use Weights & Biases(W&B). +shuffle: True # (bool) Whether or not to shuffle the training data before each epoch. +device: 'cuda' +reproducibility: True # (bool) Whether or not to make results reproducible. + +# Training Settings +epochs: 1 # (int) The number of training epochs. +train_batch_size: 2048 # (int) The training batch size. +learner: adam # (str) The name of used optimizer. +learning_rate: 0.0001 # (float) Learning rate. +eval_step: 1 # (int) The number of training epochs before an evaluation on the valid dataset. +stopping_step: 10 # (int) The threshold for validation-based early stopping. +weight_decay: 0.0 # (float) The weight decay value (L2 penalty) for optimizers. +saved: True +resume: False +train: True + +# Evaluation Settings +metrics: ["LSE", "SSIM"] +evaluate_batch_size: 50 # (int) The evaluation batch size. +lse_checkpoint_path: 'checkpoints/LSE/syncnet_v2.model' +temp_dir: 'results/temp' +lse_reference_dir: 'lse' +valid_metric_bigger: False +# (bool) Whether to take a bigger valid metric value as a better result. + + + # Syncnet syncnet_wt: 0.03 # (int) is initially zero, will be set automatically to 0.03 later.Leads to faster convergence. syncnet_batch_size: 64 # (int) batch_size for syncnet train @@ -53,3 +88,14 @@ rotate: False nosmooth: False wav2lip_batch_size: 128 vshift: 15 + +train_filelist: 'train' # 当前数据集的数据划分文件 train +test_filelist: 'test' # 当前数据集的数据划分文件 test +val_filelist: 'val' # 当前数据集的数据划分文件 val + +data_root: 'dataset/lrs2/data/main' # 当前数据集的数据根目录 +preprocessed_root: 'dataset/lrs2/preprocessed_data' # 当前数据集的预处理数据根目录 + +need_preprocess: True # 数据集是否需要预处理,如抽帧、抽音频等 + +preprocess_batch_size: 32 From a8f891e6946ed28c40a1ed5ccfa7e7b6f532098f Mon Sep 17 00:00:00 2001 From: Atlus99 <127162631+Atlus99@users.noreply.github.com> Date: Sun, 28 Jan 2024 12:57:19 +0800 Subject: [PATCH 28/36] Update trainer.py --- talkingface/trainer/trainer.py | 144 +++++++++++++++++++++++++++++++-- 1 file changed, 138 insertions(+), 6 deletions(-) diff --git a/talkingface/trainer/trainer.py b/talkingface/trainer/trainer.py index 2c34717b..efb2968d 100644 --- a/talkingface/trainer/trainer.py +++ b/talkingface/trainer/trainer.py @@ -28,7 +28,6 @@ from talkingface.data.dataprocess.wav2lip_process import Wav2LipAudio from talkingface.evaluator import Evaluator - class AbstractTrainer(object): r"""Trainer Class is used to manage the training and evaluation processes of recommender system models. AbstractTrainer is an abstract class in which the fit() and evaluate() method should be implemented according @@ -203,7 +202,7 @@ def _valid_epoch(self, valid_data, show_progress=False): Returns: loss """ - print('Valid for {} steps'.format(self.eval_steps)) + print('Valid for {} steps'.format(self.eval_step)) self.model.eval() total_loss_dict = {} iter_data = ( @@ -217,7 +216,8 @@ def _valid_epoch(self, valid_data, show_progress=False): step = 0 for batch_idx, batched_data in enumerate(iter_data): step += 1 - batched_data.to(self.device) + # batched_data.to(self.device) + # batched_data={"input":mfcc,"label":label} losses_dict = self.model.calculate_loss(batched_data, valid=True) for key, value in losses_dict.items(): if key in total_loss_dict: @@ -367,10 +367,10 @@ def fit(self, train_data, valid_data=None, verbose=True, saved=True, show_progre """ if saved and self.start_epoch >= self.epochs: self._save_checkpoint(-1, verbose=verbose) - + print(self.config['resume_checkpoint_path'],self.config['resume'],"wokao") if not (self.config['resume_checkpoint_path'] == None ) and self.config['resume']: self.resume_checkpoint(self.config['resume_checkpoint_path']) - + for epoch_idx in range(self.start_epoch, self.epochs): training_start_time = time() train_loss = self._train_epoch(train_data, epoch_idx, show_progress=show_progress) @@ -485,6 +485,7 @@ def _train_epoch(self, train_data, epoch_idx, loss_func=None, show_progress=Fals for batch_idx, interaction in enumerate(iter_data): self.optimizer.zero_grad() step += 1 + print(interaction) losses_dict = loss_func(interaction) loss = losses_dict["loss"] @@ -554,4 +555,135 @@ def _valid_epoch(self, valid_data, loss_func=None, show_progress=False): if losses_dict["sync_loss"] < .75: self.model.config["syncnet_wt"] = 0.01 return average_loss_dict - \ No newline at end of file + +class evpTrainer(Trainer): + def __init__(self, config, model): + self.config = config + self.model = model + self.logger = getLogger() + self.tensorboard = get_tensorboard(self.logger) + self.wandblogger = WandbLogger(config) + # self.enable_amp = config["enable_amp"] + # self.enable_scaler = torch.cuda.is_available() and config["enable_scaler"] + + # config for train + self.learner = config["learner"] + self.learning_rate = config["learning_rate"] + self.epochs = config["epochs"] + self.eval_step = min(config["eval_step"], self.epochs) + self.stopping_step = config["stopping_step"] + self.test_batch_size = config["eval_batch_size"] + self.gpu_available = torch.cuda.is_available() and config["use_gpu"] + self.device = config["device"] + self.checkpoint_dir = config["checkpoint_dir"] + ensure_dir(self.checkpoint_dir) + saved_model_file = "{}-{}.pth".format(self.config["model"], get_local_time()) + self.saved_model_file = os.path.join(self.checkpoint_dir, saved_model_file) + self.weight_decay = config["weight_decay"] + self.start_epoch = 0 + self.cur_step = 0 + self.train_loss_dict = dict() + self.optimizer = self._build_optimizer() + self.evaluator = Evaluator(config) + + self.valid_metric_bigger = config["valid_metric_bigger"] + self.best_valid_score = -np.inf if self.valid_metric_bigger else np.inf + self.best_valid_result = None + def fit(self, train_data, valid_data=None, verbose=True, saved=True, show_progress=False, callback_fn=None): + r"""Train the model based on the train data and the valid data. + + Args: + train_data (DataLoader): the train data + valid_data (DataLoader, optional): the valid data, default: None. + If it's None, the early_stopping is invalid. + verbose (bool, optional): whether to write training and evaluation information to logger, default: True + saved (bool, optional): whether to save the model parameters, default: True + show_progress (bool): Show the progress of training epoch and evaluate epoch. Defaults to ``False``. + callback_fn (callable): Optional callback function executed at end of epoch. + Includes (epoch_idx, valid_score) input arguments. + + Returns: + best result + """ + # print(self.config['resume_checkpoint_path'],self.config['resume'],"wokao") + # self.start_epoch=0 + if saved and self.start_epoch >= self.epochs: + self._save_checkpoint(-1, verbose=verbose) + + if not (self.config['resume_checkpoint_path'] == None) and self.config['resume']: + self.resume_checkpoint(self.config['resume_checkpoint_path']) + + for epoch_idx in range(self.start_epoch, self.epochs): + training_start_time = time() + train_loss = self._train_epoch(train_data, epoch_idx, show_progress=show_progress) + self.train_loss_dict[epoch_idx] = ( + sum(train_loss) if isinstance(train_loss, tuple) else train_loss + ) + training_end_time = time() + train_loss_output = self._generate_train_loss_output( + epoch_idx, training_start_time, training_end_time, train_loss) + + if verbose: + self.logger.info(train_loss_output) + # self._add_train_loss_to_tensorboard(epoch_idx, train_loss) + + if self.eval_step <= 0 or not valid_data: + if saved: + self._save_checkpoint(epoch_idx, verbose=verbose) + continue + + if (epoch_idx + 1) % self.eval_step == 0: + valid_start_time = time() + valid_loss = self._valid_epoch(valid_data=valid_data, show_progress=show_progress) + + (self.best_valid_score, self.cur_step, stop_flag, update_flag,) = early_stopping( + valid_loss['loss'], + self.best_valid_score, + self.cur_step, + max_step=self.stopping_step, + bigger=self.valid_metric_bigger, + ) + valid_end_time = time() + + valid_loss_output = ( + set_color("valid result", "blue") + ": \n" + dict2str(valid_loss) + ) + if verbose: + self.logger.info(valid_loss_output) + + if update_flag: + if saved: + self._save_checkpoint(epoch_idx, verbose=verbose) + self.best_valid_result = valid_loss['loss'] + + if stop_flag: + stop_output = "Finished training, best eval result in epoch %d" % ( + epoch_idx - self.cur_step * self.eval_step + ) + if verbose: + self.logger.info(stop_output) + break + + @torch.no_grad() + def evaluate(self, load_best_model=True, model_file=None): + """ + Evaluate the model based on the test data. + + args: load_best_model: bool, whether to load the best model in the training process. + model_file: str, the model file you want to evaluate. + + """ + if load_best_model: + checkpoint_file = model_file or self.saved_model_file + checkpoint = torch.load(checkpoint_file, map_location=self.device) + self.model.load_state_dict(checkpoint["state_dict"]) + self.model.load_other_parameter(checkpoint.get("other_parameter")) + message_output = "Loading model structure and parameters from {}".format( + checkpoint_file + ) + self.logger.info(message_output) + self.model.eval() + + datadict = self.model.generate_batch() + eval_result = self.evaluator.evaluate(datadict) + self.logger.info(eval_result) From 3189fdb3ebe78c8b850e8c9faa2a5f532462510a Mon Sep 17 00:00:00 2001 From: Atlus99 <127162631+Atlus99@users.noreply.github.com> Date: Sun, 28 Jan 2024 16:39:17 +0800 Subject: [PATCH 29/36] Update data_process.py --- talkingface/utils/data_process.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/talkingface/utils/data_process.py b/talkingface/utils/data_process.py index cbc430ac..23f67f45 100644 --- a/talkingface/utils/data_process.py +++ b/talkingface/utils/data_process.py @@ -13,7 +13,7 @@ from scipy.io import wavfile -class lrs2Preprocess: +class evpDatasetPreprocess: def __init__(self, config): self.config = config self.fa = [face_detection.FaceAlignment(face_detection.LandmarksType._2D, flip_input=False, From 503d9723557ef1aa39f9de96331df70d357af41b Mon Sep 17 00:00:00 2001 From: Atlus99 <127162631+Atlus99@users.noreply.github.com> Date: Sun, 28 Jan 2024 16:39:57 +0800 Subject: [PATCH 30/36] Update utils.py --- talkingface/utils/utils.py | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/talkingface/utils/utils.py b/talkingface/utils/utils.py index a5019491..8d976199 100644 --- a/talkingface/utils/utils.py +++ b/talkingface/utils/utils.py @@ -63,6 +63,7 @@ def get_model(model_name): raise ValueError( "`model_name` [{}] is not the name of an existing model.".format(model_name) ) + print(model_module,model_name) model_class = getattr(model_module, model_name) return model_class @@ -435,6 +436,7 @@ def create_dataset(config): """ model_name = config['model'] dataset_file_name = model_name.lower()+'_dataset' + print(dataset_file_name) module_path = ".".join(["talkingface.data.dataset", dataset_file_name]) if importlib.util.find_spec(module_path, __name__): dataset_module = importlib.import_module(module_path, __name__) @@ -443,7 +445,7 @@ def create_dataset(config): "`dataset_file_name` [{}] is not the name of an existing dataset.".format(dataset_file_name) ) dataset_class = getattr(dataset_module, model_name+'Dataset') - + print(config['train_filelist'],"hahahha") return dataset_class(config, config['train_filelist']), dataset_class(config, config['val_filelist']) From 287b1c4d7f3f3987961f5fc53dcbb0cd4adef3ad Mon Sep 17 00:00:00 2001 From: Atlus99 <127162631+Atlus99@users.noreply.github.com> Date: Sun, 28 Jan 2024 16:40:52 +0800 Subject: [PATCH 31/36] Update requirements.txt --- requirements.txt | 1 - 1 file changed, 1 deletion(-) diff --git a/requirements.txt b/requirements.txt index 1605c1fe..a9d5bb3a 100644 --- a/requirements.txt +++ b/requirements.txt @@ -40,7 +40,6 @@ joblib==1.3.2 jsonschema==4.19.2 jsonschema-specifications==2023.7.1 kiwisolver==1.4.5 -kornia==0.5.5 lazy_loader==0.3 librosa==0.10.1 llvmlite==0.37.0 From f6743b2e347c0455b63ea4cef99bca1b540382c0 Mon Sep 17 00:00:00 2001 From: Atlus99 <127162631+Atlus99@users.noreply.github.com> Date: Sun, 28 Jan 2024 16:41:15 +0800 Subject: [PATCH 32/36] Update run_talkingface.py --- run_talkingface.py | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/run_talkingface.py b/run_talkingface.py index 3989d566..1a45274b 100644 --- a/run_talkingface.py +++ b/run_talkingface.py @@ -3,9 +3,9 @@ if __name__ == "__main__": parser = argparse.ArgumentParser() - parser.add_argument("--model", "-m", type=str, default="BPR", help="name of models") + parser.add_argument("--model", "-m", type=str, default="evp", help="name of models") parser.add_argument( - "--dataset", "-d", type=str, default=None, help="name of datasets" + "--dataset", "-d", type=str, default="evpDataset", help="name of datasets" ) parser.add_argument("--evaluate_model_file", type=str, default=None, help="The model file you want to evaluate") parser.add_argument("--config_files", type=str, default=None, help="config files") @@ -21,4 +21,4 @@ args.dataset, config_file_list=config_file_list, evaluate_model_file=args.evaluate_model_file - ) \ No newline at end of file + ) From 5de5e43fbcf8f72b953ad65cbe676492ca2999f0 Mon Sep 17 00:00:00 2001 From: Atlus99 <127162631+Atlus99@users.noreply.github.com> Date: Sun, 28 Jan 2024 16:44:14 +0800 Subject: [PATCH 33/36] Delete README.md --- README.md | 163 ------------------------------------------------------ 1 file changed, 163 deletions(-) delete mode 100644 README.md diff --git a/README.md b/README.md deleted file mode 100644 index e26e6bb2..00000000 --- a/README.md +++ /dev/null @@ -1,163 +0,0 @@ -# README - -#### **1.完成功能** - -本项目完成一个语音转换模型EVP,实验运行截图在Readme.pdf中。 - -#### **2.依赖安装** - -```powershell -absl-py==2.0.0 -addict==2.4.0 -aiosignal==1.3.1 -appdirs==1.4.4 -attrs==23.1.0 -audioread==3.0.1 -basicsr==1.3.4.7 -cachetools==5.3.2 -certifi==2020.12.5 -cffi==1.16.0 -charset-normalizer==3.3.2 -click==8.1.7 -cloudpickle==3.0.0 -colorama==0.4.6 -colorlog==6.7.0 -contourpy==1.1.1 -cycler==0.12.1 -decorator==5.1.1 -dlib==19.22.1 -docker-pycreds==0.4.0 -face-alignment==1.3.5 -ffmpeg==1.4 -filelock==3.13.1 -fonttools==4.44.0 -frozenlist==1.4.0 -future==0.18.3 -gitdb==4.0.11 -GitPython==3.1.40 -glob2==0.7 -google-auth==2.23.4 -google-auth-oauthlib==0.4.6 -grpcio==1.59.2 -hyperopt==0.2.5 -idna==3.4 -imageio==2.9.0 -imageio-ffmpeg==0.4.5 -importlib-metadata==6.8.0 -importlib-resources==6.1.0 -joblib==1.3.2 -jsonschema==4.19.2 -jsonschema-specifications==2023.7.1 -kiwisolver==1.4.5 -lazy_loader==0.3 -librosa==0.10.1 -llvmlite==0.37.0 -lmdb==1.2.1 -lws==1.2.7 -Markdown==3.5.1 -MarkupSafe==2.1.3 -matplotlib==3.6.3 -msgpack==1.0.7 -networkx==3.1 -numba==0.54.1 -numpy==1.20.3 -oauthlib==3.2.2 -opencv-python==3.4.9.33 -packaging==23.2 -pandas==1.3.4 -pathtools==0.1.2 -Pillow==6.2.1 -pkgutil_resolve_name==1.3.10 -platformdirs==3.11.0 -plotly==5.18.0 -pooch==1.8.0 -protobuf==4.25.0 -psutil==5.9.6 -pyasn1==0.5.0 -pyasn1-modules==0.3.0 -pycparser==2.21 -pyparsing==3.1.1 -python-dateutil==2.8.2 -python-speech-features==0.6 -pytorch-fid==0.3.0 -pytz==2023.3.post1 -PyWavelets==1.4.1 -PyYAML==5.3.1 -ray==2.6.3 -referencing==0.30.2 -requests==2.31.0 -requests-oauthlib==1.3.1 -rpds-py==0.12.0 -rsa==4.9 -scikit-image==0.16.2 -scikit-learn==1.3.2 -scipy==1.5.0 -sentry-sdk==1.34.0 -setproctitle==1.3.3 -six==1.16.0 -smmap==5.0.1 -soundfile==0.12.1 -soxr==0.3.7 -tabulate==0.9.0 -tb-nightly==2.12.0a20230126 -tenacity==8.2.3 -tensorboard==2.7.0 -tensorboard-data-server==0.6.1 -tensorboard-plugin-wit==1.8.1 -texttable==1.7.0 -thop==0.1.1.post2209072238 -threadpoolctl==3.2.0 -tomli==2.0.1 -torch==1.13.1+cu116 -torchaudio==0.13.1+cu116 -torchvision==0.14.1+cu116 -tqdm==4.66.1 -trimesh==3.9.20 -typing_extensions==4.8.0 -tzdata==2023.3 -urllib3==2.0.7 -wandb==0.15.12 -Werkzeug==3.0.1 -yapf==0.40.2 -zipp==3.17.0 - - -``` - -#### 3.训练过程 - -1)首先将https://drive.google.com/file/d/1OjFo6oRu-PIlZIl-6zPfnD_x4TW1iZ-3/view 的文件下载下来放在项目中的dataset文件夹中 - -2)运行talkingface/data/dataset下的preprocess文件:python preprocess.py - -3)运行 python run_talkingface.py –model=evp –dataset=evpDataset - -#### 4.实验中遇到的问题 - -进行函数和接口的调试时,有些参数是需要根据github上相关的文档进行修改的,因为这些原生参数并不一定是比较优秀的,所以就需要自己进行不同的尝试使实验结果更加出色 - -#### 5.人员分工 -**邢家瑞:** -1. 设置properties/overall.yaml,设置公有默认参数 -2. 设置dataset/evp_dataset.py preprocess.py,设置加载数据方式和预训练 -3. 合作完成文档工作 - -**邹宇:** -1. 合作调试模型audio_driven_talkingface,实现基类中calculate、predict等函数 -2. 分析项目工程文件 -3. 合作完成文档工作 - -**王宇凡:** -1. 合作调试模型audio_driven_talkingface,调试函数参数和接口 -2. 分析项目工程文件 -3. 合作完成文档工作 - -**李泽卿:** -1. 合作调试模型nerf_based_talkingface,实现基类中calculate、predict等函数 -2. 数据集处理并上传云端 -3. 合作完成文档工作 - -**谢忱:** -1. 调试train实现evaluate() -2. 合作调试模型nerf_based_talkingface,设置接口 -3. 进行模型的训练和评估 From 008d2475851bcea486413b7ad8a7ad874fc62f3f Mon Sep 17 00:00:00 2001 From: Atlus99 <127162631+Atlus99@users.noreply.github.com> Date: Sun, 28 Jan 2024 16:44:56 +0800 Subject: [PATCH 34/36] Add files via upload --- README.md | 163 ++++++++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 163 insertions(+) create mode 100644 README.md diff --git a/README.md b/README.md new file mode 100644 index 00000000..024f5a66 --- /dev/null +++ b/README.md @@ -0,0 +1,163 @@ +# README + +#### **1.完成功能** + +本项目完成一个语音转换模型EVP,实验运行截图在Readme.pdf中。 + +#### **2.依赖安装** + +```powershell +absl-py==2.0.0 +addict==2.4.0 +aiosignal==1.3.1 +appdirs==1.4.4 +attrs==23.1.0 +audioread==3.0.1 +basicsr==1.3.4.7 +cachetools==5.3.2 +certifi==2020.12.5 +cffi==1.16.0 +charset-normalizer==3.3.2 +click==8.1.7 +cloudpickle==3.0.0 +colorama==0.4.6 +colorlog==6.7.0 +contourpy==1.1.1 +cycler==0.12.1 +decorator==5.1.1 +dlib==19.22.1 +docker-pycreds==0.4.0 +face-alignment==1.3.5 +ffmpeg==1.4 +filelock==3.13.1 +fonttools==4.44.0 +frozenlist==1.4.0 +future==0.18.3 +gitdb==4.0.11 +GitPython==3.1.40 +glob2==0.7 +google-auth==2.23.4 +google-auth-oauthlib==0.4.6 +grpcio==1.59.2 +hyperopt==0.2.5 +idna==3.4 +imageio==2.9.0 +imageio-ffmpeg==0.4.5 +importlib-metadata==6.8.0 +importlib-resources==6.1.0 +joblib==1.3.2 +jsonschema==4.19.2 +jsonschema-specifications==2023.7.1 +kiwisolver==1.4.5 +lazy_loader==0.3 +librosa==0.10.1 +llvmlite==0.37.0 +lmdb==1.2.1 +lws==1.2.7 +Markdown==3.5.1 +MarkupSafe==2.1.3 +matplotlib==3.6.3 +msgpack==1.0.7 +networkx==3.1 +numba==0.54.1 +numpy==1.20.3 +oauthlib==3.2.2 +opencv-python==3.4.9.33 +packaging==23.2 +pandas==1.3.4 +pathtools==0.1.2 +Pillow==6.2.1 +pkgutil_resolve_name==1.3.10 +platformdirs==3.11.0 +plotly==5.18.0 +pooch==1.8.0 +protobuf==4.25.0 +psutil==5.9.6 +pyasn1==0.5.0 +pyasn1-modules==0.3.0 +pycparser==2.21 +pyparsing==3.1.1 +python-dateutil==2.8.2 +python-speech-features==0.6 +pytorch-fid==0.3.0 +pytz==2023.3.post1 +PyWavelets==1.4.1 +PyYAML==5.3.1 +ray==2.6.3 +referencing==0.30.2 +requests==2.31.0 +requests-oauthlib==1.3.1 +rpds-py==0.12.0 +rsa==4.9 +scikit-image==0.16.2 +scikit-learn==1.3.2 +scipy==1.5.0 +sentry-sdk==1.34.0 +setproctitle==1.3.3 +six==1.16.0 +smmap==5.0.1 +soundfile==0.12.1 +soxr==0.3.7 +tabulate==0.9.0 +tb-nightly==2.12.0a20230126 +tenacity==8.2.3 +tensorboard==2.7.0 +tensorboard-data-server==0.6.1 +tensorboard-plugin-wit==1.8.1 +texttable==1.7.0 +thop==0.1.1.post2209072238 +threadpoolctl==3.2.0 +tomli==2.0.1 +torch==1.13.1+cu116 +torchaudio==0.13.1+cu116 +torchvision==0.14.1+cu116 +tqdm==4.66.1 +trimesh==3.9.20 +typing_extensions==4.8.0 +tzdata==2023.3 +urllib3==2.0.7 +wandb==0.15.12 +Werkzeug==3.0.1 +yapf==0.40.2 +zipp==3.17.0 + + +``` + +#### 3.训练过程 + +1)首先将https://drive.google.com/file/d/1OjFo6oRu-PIlZIl-6zPfnD_x4TW1iZ-3/view 的文件下载下来放在项目中的dataset文件夹中 + +2)运行talkingface/data/dataset下的preprocess文件:python preprocess.py + +3)运行 python run_talkingface.py –model=evp –dataset=evpDataset + +#### 4.实验中遇到的问题 + +进行函数和接口的调试时,有些参数是需要根据github上相关的文档进行修改的,因为这些原生参数并不一定是比较优秀的,所以就需要自己进行不同的尝试使实验结果更加出色 + +#### 5.人员分工 +**邢家瑞:** +1. 设置properties/overall.yaml,设置公有默认参数 +2. 设置dataset/evp_dataset.py preprocess.py,设置加载数据方式和预训练 +3. 合作完成文档工作 + +**邹宇:** +1. 合作调试模型audio_driven_talkingface,实现基类中calculate、predict等函数 +2. 分析项目工程文件 +3. 合作完成文档工作 + +**王宇凡:** +1. 合作调试模型audio_driven_talkingface,调试函数参数和接口 +2. 分析项目工程文件 +3. 合作完成文档工作 + +**李泽卿:** +1. 合作调试模型audio_based_talkingface,实现基类中calculate、predict等函数 +2. 数据集处理并上传云端 +3. 合作完成文档工作 + +**谢忱:** +1. 调试train实现evaluate() +2. 合作调试模型audio_based_talkingface,设置接口 +3. 进行模型的训练和评估 From 85bafa55a7a656668b6d77df1e5f03e18010bf90 Mon Sep 17 00:00:00 2001 From: Atlus99 <127162631+Atlus99@users.noreply.github.com> Date: Tue, 30 Jan 2024 21:31:30 +0800 Subject: [PATCH 35/36] Update README.md --- README.md | 5 +++++ 1 file changed, 5 insertions(+) diff --git a/README.md b/README.md index 024f5a66..54a0d9be 100644 --- a/README.md +++ b/README.md @@ -1,5 +1,10 @@ # README +#### **小组成员** + +组长:邢家瑞 +组员:邹宇 王宇凡 李泽卿 谢忱 + #### **1.完成功能** 本项目完成一个语音转换模型EVP,实验运行截图在Readme.pdf中。 From adfa3006b6a398fb7b23abba9c4355026f73b96a Mon Sep 17 00:00:00 2001 From: Atlus99 <127162631+Atlus99@users.noreply.github.com> Date: Tue, 30 Jan 2024 21:32:07 +0800 Subject: [PATCH 36/36] Update README.md --- README.md | 1 + 1 file changed, 1 insertion(+) diff --git a/README.md b/README.md index 54a0d9be..6bd7007f 100644 --- a/README.md +++ b/README.md @@ -3,6 +3,7 @@ #### **小组成员** 组长:邢家瑞 + 组员:邹宇 王宇凡 李泽卿 谢忱 #### **1.完成功能**