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HeyGem
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.editorconfig 0 → 100644
root = true
[*]
charset = utf-8
indent_style = space
indent_size = 2
end_of_line = lf
insert_final_newline = true
trim_trailing_whitespace = true
\ No newline at end of file
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node_modules
dist
out
.gitignore
.eslintrc.cjs 0 → 100644
/* eslint-env node */
require('@rushstack/eslint-patch/modern-module-resolution')
module.exports = {
extends: [
'eslint:recommended',
// 'plugin:vue/vue3-recommended',
'@electron-toolkit',
// '@vue/eslint-config-prettier'
],
parserOptions: {
ecmaVersion: 2022, // 或者更高版本
sourceType: 'module', // 如果你使用 ES 模块
},
rules: {
'no-unused-vars': 'off',
'vue/require-default-prop': 'off',
'vue/multi-word-component-names': 'off'
}
}
.gitignore 0 → 100644
node_modules
dist
out
.idea
.DS_Store
*.log*
.npmrc 0 → 100644
electron_mirror=https://npmmirror.com/mirrors/electron/
electron_builder_binaries_mirror=https://npmmirror.com/mirrors/electron-builder-binaries/
better_sqlite3_binary_host=https://registry.npmmirror.com/-/binary/better-sqlite3
better_sqlite3_binary_host_mirror=https://registry.npmmirror.com/-/binary/better-sqlite3
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.prettierignore 0 → 100644
out
dist
pnpm-lock.yaml
LICENSE.md
tsconfig.json
tsconfig.*.json
.prettierrc.yaml 0 → 100644
singleQuote: true
semi: false
printWidth: 100
trailingComma: none
LICENSE 0 → 100644
Silicon Intelligence COMMUNITY LICENSE AGREEMENT
“Agreement” means the terms and conditions for use, reproduction, distribution and modification of this product forth herein.
“Documentation” means the specifications, manuals and documentation by Silicon Intelligence.
“Licensee” or “you” means you, or your employer or any other person or entity (if you are entering into this Agreement on such person or entity’s behalf), of the age required under applicable laws, rules or regulations to provide legal consent and that has legal authority to bind your employer or such other person or entity if you are entering in this Agreement on their behalf.
“Silicon Intelligence Materials” means, collectively, Silicon Intelligence’s proprietary code and Documentation (and any portion thereof) made available under this Agreement.
By clicking “I Accept” below or by using or distributing any portion or element of the Silicon Intelligence Materials, you agree to be bound by this Agreement.
1. License Rights and Redistribution.
a. Grant of Rights. You are granted a non-exclusive, worldwide, non-transferable and royalty-free limited license under ’s intellectual property or other rights owned by Silicon Intelligence embodied in the SILICON INTELLIGENCE Materials to use, reproduce, distribute, copy, create derivative works of, and make modifications to the Silicon Intelligence Materials.
b. Redistribution and Use.
i. If you distribute or make available the Silicon Intelligence Materials (or any derivative works thereof), or a product or service that uses any of them, you shall (A) provide a copy of this Agreement with any such Silicon Intelligence Materials; and (B) prominently display “Built with Silicon Intelligence” on a related website, user interface, blogpost, about page, or product documentation. If you use the Silicon Intelligence Materials to create, train, fine tune, or otherwise improve an AI model, which is distributed or made available, you shall also include “Silicon Intelligence” at the beginning of any such AI model name.
ii. If you receive Silicon Intelligence Materials, or any derivative works thereof, from a Licensee as part of an integrated end user product, then Section 2 of this Agreement will not apply to you.
iii. You must retain in all copies of the Silicon Intelligence Materials that you distribute the following attribution notice within a “Notice” text file distributed as a part of such copies: “Silicon Intelligence is licensed under the Silicon Intelligence Community License, Copyright © Silicon Intelligence Platforms, Inc. All Rights Reserved.”
iv. Your use of the Silicon Intelligence Materials must comply with applicable laws and regulations (including trade compliance laws and regulations) .
2. Additional Commercial Terms. If, on the Silicon Intelligence duix.ai version release date, the monthly active users of the products or services made available by or for Licensee, or Licensee’s affiliates, is greater than 1 thousand monthly active users in the preceding calendar month, or your product based Silicon Intelligence material your active users greater 1 thousand, you must request a license from Silicon Intelligence, which Silicon Intelligence may grant to you in its sole discretion, and you are not authorized to exercise any of the rights under this Agreement unless or until Silicon Intelligence otherwise expressly grants you such rights.
3. Disclaimer of Warranty. UNLESS REQUIRED BY APPLICABLE LAW, THE SILICON INTELLIGENCE MATERIALS AND ANY OUTPUT AND RESULTS THEREFROM ARE PROVIDED ON AN “AS IS” BASIS, WITHOUT WARRANTIES OF ANY KIND, AND SILICON INTELLIGENCE DISCLAIMS ALL WARRANTIES OF ANY KIND, BOTH EXPRESS AND IMPLIED, INCLUDING, WITHOUT LIMITATION, ANY WARRANTIES OF TITLE, NON-INFRINGEMENT, MERCHANTABILITY, OR FITNESS FOR A PARTICULAR PURPOSE. YOU ARE SOLELY RESPONSIBLE FOR DETERMINING THE APPROPRIATENESS OF USING OR REDISTRIBUTING THE SILICON INTELLIGENCE MATERIALS AND ASSUME ANY RISKS ASSOCIATED WITH YOUR USE OF THE SILICON INTELLIGENCE MATERIALS AND ANY OUTPUT AND RESULTS.
4. Limitation of Liability. IN NO EVENT WILL SILICON INTELLIGENCE OR ITS AFFILIATES BE LIABLE UNDER ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, TORT, NEGLIGENCE, PRODUCTS LIABILITY, OR OTHERWISE, ARISING OUT OF THIS AGREEMENT, FOR ANY LOST PROFITS OR ANY INDIRECT, SPECIAL, CONSEQUENTIAL, INCIDENTAL, EXEMPLARY OR PUNITIVE DAMAGES, EVEN IF SILICON INTELLIGENCE OR ITS AFFILIATES HAVE BEEN ADVISED OF THE POSSIBILITY OF ANY OF THE FOREGOING.
5. Intellectual Property.
a. No trademark licenses are granted under this Agreement, and in connection with the Silicon Intelligence Materials, neither Silicon Intelligence nor Licensee may use any name or mark owned by or associated with the other or any of its affiliates, except as required for reasonable and customary use in describing and redistributing the Silicon Intelligence Materials or as set forth in this Section 5(a). Silicon Intelligence hereby grants you a license to use “Silicon Intelligence” solely as required to comply with the last sentence of Section 1.b.i. You will comply with Silicon Intelligence’s brand guidelines . All goodwill arising out of your use of the Mark will inure to the benefit of Silicon Intelligence.
b. If you institute litigation or other proceedings against Silicon Intelligenceor any entity (including a cross-claim or counterclaim in a lawsuit) alleging that the Silicon Intelligence Materials or outputs or results, or any portion of any of the foregoing, constitutes infringement of intellectual property or other rights owned or licensable by you, then any licenses granted to you under this Agreement shall terminate as of the date such litigation or claim is filed or instituted. You will indemnify and hold harmless Silicon Intelligence from and against any claim by any third party arising out of or related to your use or distribution of the Silicon Intelligence Materials.
6. Term and Termination. The term of this Agreement will commence upon your acceptance of this Agreement or access to the Silicon Intelligence Materials and will continue in full force and effect until terminated in accordance with the terms and conditions herein. Silicon Intelligence may terminate this Agreement if you are in breach of any term or condition of this Agreement. Upon termination of this Agreement, you shall delete and cease use of the Silicon Intelligence Materials. Sections 3, 4 shall survive the termination of this Agreement.
Copyright (c) 2025 guiji.cn
Permission is hereby granted to use, modify, and redistribute this software under the following
conditions:
1. The original copyright notice must be preserved
2. All redistributions shall visibly acknowledge "Powered by guiji.cn/heygem.ai"
\ No newline at end of file
README.md 0 → 100644
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build/entitlements.mac.plist 0 → 100644
<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE plist PUBLIC "-//Apple//DTD PLIST 1.0//EN" "http://www.apple.com/DTDs/PropertyList-1.0.dtd">
<plist version="1.0">
<dict>
<key>com.apple.security.cs.allow-jit</key>
<true/>
<key>com.apple.security.cs.allow-unsigned-executable-memory</key>
<true/>
<key>com.apple.security.cs.allow-dyld-environment-variables</key>
<true/>
</dict>
</plist>
build/icon.icns 0 → 100644
File added
build/icon.ico 0 → 100644
File added
deploy/docker-compose-linux.yml 0 → 100644
networks:
ai_network:
driver: bridge
services:
heygem-tts:
image: guiji2025/fish-speech-ziming
container_name: heygem-tts
restart: always
runtime: nvidia
environment:
- NVIDIA_VISIBLE_DEVICES=0
- NVIDIA_DRIVER_CAPABILITIES=compute,graphics,utility,video,display
ports:
- '18180:8080'
volumes:
- ~/heygem_data/voice/data:/code/data
command: /bin/bash -c "/opt/conda/envs/python310/bin/python3 tools/api_server.py --listen 0.0.0.0:8080"
networks:
- ai_network
heygem-asr:
image: guiji2025/fun-asr
container_name: heygem-asr
restart: always
runtime: nvidia
privileged: true
working_dir: /workspace/FunASR/runtime
ports:
- '10095:10095'
command: sh /run.sh
deploy:
resources:
reservations:
devices:
- driver: nvidia
count: all
capabilities: [gpu]
networks:
- ai_network
heygem-gen-video:
image: guiji2025/heygem.ai
container_name: heygem-gen-video
restart: always
runtime: nvidia
privileged: true
volumes:
- ~/heygem_data/face2face:/code/data
environment:
- PYTORCH_CUDA_ALLOC_CONF=max_split_size_mb:512
deploy:
resources:
reservations:
devices:
- capabilities: [gpu]
shm_size: '8g'
ports:
- '8383:8383'
command: python /code/app_local.py
networks:
- ai_network
deploy/docker-compose-lite.yml 0 → 100644
networks:
ai_network:
driver: bridge
services:
heygem-gen-video:
image: guiji2025/heygem.ai
container_name: heygem-gen-video
restart: always
runtime: nvidia
privileged: true
volumes:
- d:/heygem_data/face2face:/code/data
environment:
- PYTORCH_CUDA_ALLOC_CONF=max_split_size_mb:512
deploy:
resources:
reservations:
devices:
- capabilities: [gpu]
shm_size: '8g'
ports:
- '8383:8383'
command: python /code/app_local.py
networks:
- ai_network
deploy/docker-compose.yml 0 → 100644
networks:
ai_network:
driver: bridge
services:
heygem-tts:
image: guiji2025/fish-speech-ziming
container_name: heygem-tts
restart: always
runtime: nvidia
environment:
- NVIDIA_VISIBLE_DEVICES=0
- NVIDIA_DRIVER_CAPABILITIES=compute,graphics,utility,video,display
ports:
- '18180:8080'
volumes:
- d:/heygem_data/voice/data:/code/data
command: /bin/bash -c "/opt/conda/envs/python310/bin/python3 tools/api_server.py --listen 0.0.0.0:8080"
networks:
- ai_network
heygem-asr:
image: guiji2025/fun-asr
container_name: heygem-asr
restart: always
runtime: nvidia
privileged: true
working_dir: /workspace/FunASR/runtime
ports:
- '10095:10095'
command: sh /run.sh
deploy:
resources:
reservations:
devices:
- driver: nvidia
count: all
capabilities: [gpu]
networks:
- ai_network
heygem-gen-video:
image: guiji2025/heygem.ai
container_name: heygem-gen-video
restart: always
runtime: nvidia
privileged: true
volumes:
- d:/heygem_data/face2face:/code/data
environment:
- PYTORCH_CUDA_ALLOC_CONF=max_split_size_mb:512
deploy:
resources:
reservations:
devices:
- capabilities: [gpu]
shm_size: '8g'
ports:
- '8383:8383'
command: python /code/app_local.py
networks:
- ai_network
heygem-flask:
build: . # 假设Dockerfile在当前目录
container_name: heygem-flask
restart: always
ports:
- "15000:15000"
volumes:
- d:/heygem_data/flask_uploads:/code/uploads # 文件存储目录
- d:/heygem_data/voice/data:/code/voice_data # 如果需要共享其他服务的目录
networks:
- ai_network
environment:
- FLASK_ENV=production
dev-app-update.yml 0 → 100644
provider: generic
url: https://example.com/auto-updates
updaterCacheDirName: heygem-updater
doc/常见问题.md 0 → 100644
# Heygem
# Heygem
## 自查步骤
1. 三个服务是否都是Running状态
![e29d1922-7c58-46b4-b1e9-961f853f26d4](常见问题.assets/e29d1922-7c58-46b4-b1e9-961f853f26d4.png)
2. 确认机器上是有英伟达显卡且正确安装了驱动程序。
本项目所有算力都在本地，没有英伟达显卡或没有驱动程序，以上三个服务是启动不了的。
3. 确保服务端和客户端都更新到了最新版本，项目刚开源，社区很活跃，更新也比较频繁，说不定你的问题已经在新版中解决了。
- 服务端：到`/deploy`目录下重新执行`docker-compose up -d`
- 客户端：`pull`代码后重新`build`
4. [GitHub Issuse](https://github.com/GuijiAI/HeyGem.ai/issues)持续更新，每天都在解决和关闭问题单，经常看看，也许你的问题已经解决了。
## 提问模板
1. 问题描述
详细描述一下复现步骤，如有截图最好。
2. 提供报错日志
- 客户端日志获取方式
![image-20250308205954494](常见问题.assets/image-20250308205954494.png)
- 服务端日志
找到关键位置，或点开我们的三个Docker服务，如下图操作“复制”。
![image-20250308215812201](常见问题.assets/image-20250308215812201.png)
## 常见问题
1. 执行`docker-compose up -d`连接失败，报错如下：
```shell
docker-compose up -d
[+] Running 3/3
✘ heygem-asr Error Get "https://registry-1.docker.io/v2/": net/http: request canceled while ... 15.1s
✘ heygem-gen-video Error context canceled 15.1s
✘ heygem-tts Error context canceled 15.1s
Error response from daemon: Get "https://registry-1.docker.io/v2/": net/http: request canceled while waiting for connection (Client.Timeout exceeded while awaiting headers)
```
![image-20250308212642892](常见问题.assets/image-20250308212642892.png)
- Docker Hub 官方源连接不稳定，您需要打开VPN的全局模式
- 或者使用国内镜像源，如下图设置
![2025-03-25_09-36-07](./常见问题.assets/2025-03-25_09-36-07.jpg)
```json
{
"builder": {
"gc": {
"defaultKeepStorage": "20GB",
"enabled": true
}
},
"experimental": false,
"registry-mirrors": [
"https://docker.zhai.cm",
"https://a.ussh.net",
"https://hub.littlediary.cn",
"https://hub.rat.dev",
"https://atomhub.openatom.cn",
"https://docker.m.daocloud.io",
"https://docker.1ms.run"
]
}
```
2. 新增模特时报错如下图：
![3074702f4d2eefb2faf1df3e1cb9cf2](常见问题.assets/3074702f4d2eefb2faf1df3e1cb9cf2.png)
- 用于创建模特的视频必须有声音，且是人在说话，程序需要用这个声音来做声音克隆
3. heygen-tts 一直重启
https://github.com/GuijiAI/HeyGem.ai/issues/69
4. 定制模特报错 Connection refused
日志报错如下：
```shell
2025-03-13 14:38:34.476 | INFO | util.wav_util:format_wav:128 - wav标准格式化成功，/code/data/origin_audio/denoise_20250313223834179.wav -> /code/data/origin_audio/format_denoise_20250313223834179.wav
2025-03-13 14:38:34.478 | INFO | util.wav_util:clean_wav:156 - 音频清理完成，新文件路径：/code/data/origin_audio/denoise_20250313223834179.wav
2025-03-13 14:38:34.484 | INFO | util.wav_util:split_audio:95 - 原始音频小于20s，不在分割，直接返回, 时长为：10.587, 文件:/code/data/origin_audio/format_denoise_20250313223834179.wav
2025-03-13 14:38:34.484 | INFO | asr_fun:asr:102 - fun asr start, wav_path:/code/data/origin_audio/format_denoise_20250313223834179.wav
2025-03-13 14:38:34.487 | INFO | asr_fun:init_conn:40 - connect to url
2025-03-13 14:38:34.487 | WARNING | asr_fun:init_conn:53 - 建立funasr连接异常：[Errno 111] Connection refused
Traceback (most recent call last):
File "/code/asr_fun.py", line 41, in init_conn
self.websocket = create_connection(uri, ssl=ssl_context, sslopt=ssl_opt)
File "/opt/conda/envs/python310/lib/python3.10/site-packages/websocket/_core.py", line 646, in create_connection
websock.connect(url, **options)
File "/opt/conda/envs/python310/lib/python3.10/site-packages/websocket/_core.py", line 256, in connect
self.sock, addrs = connect(
File "/opt/conda/envs/python310/lib/python3.10/site-packages/websocket/_http.py", line 145, in connect
sock = _open_socket(addrinfo_list, options.sockopt, options.timeout)
File "/opt/conda/envs/python310/lib/python3.10/site-packages/websocket/_http.py", line 232, in _open_socket
raise err
File "/opt/conda/envs/python310/lib/python3.10/site-packages/websocket/_http.py", line 209, in _open_socket
sock.connect(address)
ConnectionRefusedError: [Errno 111] Connection refused
2025-03-13 14:38:43.357 | ERROR | tools.server.views_guiji:api_do_preprocess:118 - An error occurred: 'NoneType' object has no attribute 'send'
Stack trace:
Traceback (most recent call last):
File "/code/tools/server/views_guiji.py", line 105, in api_do_preprocess
rt = generate_reference_info(tts_item)
File "/code/tools/server/views_guiji.py", line 76, in generate_reference_info
text = asr_fun.asr(a_file)
File "/code/asr_fun.py", line 120, in asr
result: dict = rcg.close(timeout=3)
File "/code/asr_fun.py", line 86, in close
self.websocket.send(message)
AttributeError: 'NoneType' object has no attribute 'send'
2025-03-13 14:38:43.357 | INFO | tools.server.views_guiji:api_do_preprocess:121 - 训练返回结果：{'code': -1, 'msg': "'NoneType' object has no attribute 'send'"}
```
是因为heygem-asr启动比较慢，服务端启动后等几分钟在进行克隆形象操作。如果机器内存太小（比如16G），可能启动不了。
electron-builder.yml 0 → 100644
appId: com.heygem.app
productName: HeyGem
directories:
buildResources: build
files:
- '!**/.vscode/*'
- '!src/*'
- '!electron.vite.config.{js,ts,mjs,cjs}'
- '!{.eslintignore,.eslintrc.cjs,.prettierignore,.prettierrc.yaml,dev-app-update.yml,CHANGELOG.md,README.md}'
- '!{.env,.env.*,.npmrc,pnpm-lock.yaml}'
asarUnpack:
- resources/**
win:
executableName: HeyGem
nsis:
oneClick: false
allowElevation: true
perMachine: true
allowToChangeInstallationDirectory: true
artifactName: ${productName}-${version}-setup.${ext}
shortcutName: ${productName}
uninstallDisplayName: ${productName}
createDesktopShortcut: always
installerIcon: build/icon.ico
uninstallerIcon: build/icon.ico
mac:
entitlementsInherit: build/entitlements.mac.plist
extendInfo:
- NSCameraUsageDescription: Application requests access to the device's camera.
- NSMicrophoneUsageDescription: Application requests access to the device's microphone.
- NSDocumentsFolderUsageDescription: Application requests access to the user's Documents folder.
- NSDownloadsFolderUsageDescription: Application requests access to the user's Downloads folder.
notarize: false
dmg:
artifactName: ${productName}-${version}.${ext}
linux:
target:
- AppImage
# - snap
# - deb
maintainer: electronjs.org
category: Utility
icon: build/icon.png
desktop:
Name: ${productName}
Comment: ${productName}
GenericName: ${productName}
executableName: ${productName}
Icon: build/icon.png
Terminal: false
Type: Application
Categories: Utility
Keywords:
- ${productName}
- 数字人
- 视频生成
appImage:
artifactName: ${productName}-${version}.${ext}
npmRebuild: false
publish:
provider: generic
url: https://example.com/auto-updates
electronDownload:
mirror: https://npmmirror.com/mirrors/electron/
electron.vite.config.mjs 0 → 100644
import { resolve } from 'path'
import { defineConfig, externalizeDepsPlugin } from 'electron-vite'
import vue from '@vitejs/plugin-vue'
export default defineConfig({
main: {
plugins: [externalizeDepsPlugin()]
},
preload: {
plugins: [externalizeDepsPlugin()]
},
renderer: {
resolve: {
alias: {
'@renderer': resolve('src/renderer/src')
}
},
plugins: [vue()]
}
})
jsconfig.json 0 → 100644
{
"compilerOptions": {
"baseUrl": ".",
"paths": {
"@renderer/*": ["src/renderer/src/*"]
}
}
}
package-lock.json 0 → 100644
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package.json 0 → 100644
{
"name": "heygem.ai",
"version": "1.0.4",
"description": "An open source, affordable alternative to Heygen",
"main": "./out/main/index.js",
"author": "guiji.ai",
"homepage": "https://heygem.ai",
"scripts": {
"dev": "electron-vite dev --watch",
"start": "electron-vite preview",
"build": "electron-vite build",
"postinstall": "electron-builder install-app-deps",
"build:unpack": "npm run build && electron-builder --dir --config=electron-builder.yml",
"build:win": "npm run build && electron-builder --win --config=electron-builder.yml",
"build:linux": "npm run build && electron-builder --linux --config=electron-builder.yml",
"format": "prettier --write .",
"lint": "eslint . --ext .js,.jsx,.cjs,.mjs,.ts,.tsx,.cts,.mts --fix"
},
"dependencies": {
"@electron-toolkit/preload": "^3.0.1",
"@electron-toolkit/utils": "^3.0.0",
"axios": "^1.7.7",
"better-sqlite3": "^11.5.0",
"dayjs": "^1.11.13",
"electron-log": "^5.2.2",
"electron-updater": "^6.1.7",
"fluent-ffmpeg": "^2.1.3",
"form-data": "^4.0.2",
"lodash-es": "^4.17.21",
"pinia": "^2.2.6",
"tdesign-icons-vue-next": "^0.3.3",
"tdesign-vue-next": "^1.10.3",
"vue-i18n": "^10.0.5",
"vue-router": "^4.4.5"
},
"devDependencies": {
"@electron-toolkit/eslint-config": "^1.0.2",
"@rushstack/eslint-patch": "^1.10.3",
"@vitejs/plugin-vue": "^5.0.5",
"@vue/eslint-config-prettier": "^9.0.0",
"electron": "^33.0.0",
"electron-builder": "^24.13.3",
"electron-vite": "^2.3.0",
"eslint": "^8.57.0",
"eslint-plugin-vue": "^9.26.0",
"less": "^4.2.0",
"prettier": "^3.3.2",
"raw-loader": "^4.0.2",
"vite": "^5.3.5",
"vue": "^3.5.13"
}
}
resources/ffmpeg/linux-amd64/manpages/ffmpeg-all.txt 0 → 100644
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resources/ffmpeg/linux-amd64/manpages/ffmpeg-codecs.txt 0 → 100644
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resources/ffmpeg/linux-amd64/manpages/ffmpeg-filters.txt 0 → 100644
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resources/ffmpeg/linux-amd64/manpages/ffmpeg-formats.txt 0 → 100644
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resources/ffmpeg/linux-amd64/manpages/ffmpeg-resampler.txt 0 → 100644
FFMPEG-RESAMPLER(1) FFMPEG-RESAMPLER(1)
NAME
ffmpeg-resampler - FFmpeg Resampler
DESCRIPTION
The FFmpeg resampler provides a high-level interface to the
libswresample library audio resampling utilities. In particular it
allows one to perform audio resampling, audio channel layout
rematrixing, and convert audio format and packing layout.
RESAMPLER OPTIONS
The audio resampler supports the following named options.
Options may be set by specifying -option value in the FFmpeg tools,
option=value for the aresample filter, by setting the value explicitly
in the "SwrContext" options or using the libavutil/opt.h API for
programmatic use.
uchl, used_chlayout
Set used input channel layout. Default is unset. This option is
only used for special remapping.
isr, in_sample_rate
Set the input sample rate. Default value is 0.
osr, out_sample_rate
Set the output sample rate. Default value is 0.
isf, in_sample_fmt
Specify the input sample format. It is set by default to "none".
osf, out_sample_fmt
Specify the output sample format. It is set by default to "none".
tsf, internal_sample_fmt
Set the internal sample format. Default value is "none". This will
automatically be chosen when it is not explicitly set.
ichl, in_chlayout
ochl, out_chlayout
Set the input/output channel layout.
See the Channel Layout section in the ffmpeg-utils(1) manual for
the required syntax.
clev, center_mix_level
Set the center mix level. It is a value expressed in deciBel, and
must be in the interval [-32,32].
slev, surround_mix_level
Set the surround mix level. It is a value expressed in deciBel, and
must be in the interval [-32,32].
lfe_mix_level
Set LFE mix into non LFE level. It is used when there is a LFE
input but no LFE output. It is a value expressed in deciBel, and
must be in the interval [-32,32].
rmvol, rematrix_volume
Set rematrix volume. Default value is 1.0.
rematrix_maxval
Set maximum output value for rematrixing. This can be used to
prevent clipping vs. preventing volume reduction. A value of 1.0
prevents clipping.
flags, swr_flags
Set flags used by the converter. Default value is 0.
It supports the following individual flags:
res force resampling, this flag forces resampling to be used even
when the input and output sample rates match.
dither_scale
Set the dither scale. Default value is 1.
dither_method
Set dither method. Default value is 0.
Supported values:
rectangular
select rectangular dither
triangular
select triangular dither
triangular_hp
select triangular dither with high pass
lipshitz
select Lipshitz noise shaping dither.
shibata
select Shibata noise shaping dither.
low_shibata
select low Shibata noise shaping dither.
high_shibata
select high Shibata noise shaping dither.
f_weighted
select f-weighted noise shaping dither
modified_e_weighted
select modified-e-weighted noise shaping dither
improved_e_weighted
select improved-e-weighted noise shaping dither
resampler
Set resampling engine. Default value is swr.
Supported values:
swr select the native SW Resampler; filter options precision and
cheby are not applicable in this case.
soxr
select the SoX Resampler (where available); compensation, and
filter options filter_size, phase_shift, exact_rational,
filter_type & kaiser_beta, are not applicable in this case.
filter_size
For swr only, set resampling filter size, default value is 32.
phase_shift
For swr only, set resampling phase shift, default value is 10, and
must be in the interval [0,30].
linear_interp
Use linear interpolation when enabled (the default). Disable it if
you want to preserve speed instead of quality when exact_rational
fails.
exact_rational
For swr only, when enabled, try to use exact phase_count based on
input and output sample rate. However, if it is larger than "1 <<
phase_shift", the phase_count will be "1 << phase_shift" as
fallback. Default is enabled.
cutoff
Set cutoff frequency (swr: 6dB point; soxr: 0dB point) ratio; must
be a float value between 0 and 1. Default value is 0.97 with swr,
and 0.91 with soxr (which, with a sample-rate of 44100, preserves
the entire audio band to 20kHz).
precision
For soxr only, the precision in bits to which the resampled signal
will be calculated. The default value of 20 (which, with suitable
dithering, is appropriate for a destination bit-depth of 16) gives
SoX's 'High Quality'; a value of 28 gives SoX's 'Very High
Quality'.
cheby
For soxr only, selects passband rolloff none (Chebyshev) & higher-
precision approximation for 'irrational' ratios. Default value is
0.
async
For swr only, simple 1 parameter audio sync to timestamps using
stretching, squeezing, filling and trimming. Setting this to 1 will
enable filling and trimming, larger values represent the maximum
amount in samples that the data may be stretched or squeezed for
each second. Default value is 0, thus no compensation is applied
to make the samples match the audio timestamps.
first_pts
For swr only, assume the first pts should be this value. The time
unit is 1 / sample rate. This allows for padding/trimming at the
start of stream. By default, no assumption is made about the first
frame's expected pts, so no padding or trimming is done. For
example, this could be set to 0 to pad the beginning with silence
if an audio stream starts after the video stream or to trim any
samples with a negative pts due to encoder delay.
min_comp
For swr only, set the minimum difference between timestamps and
audio data (in seconds) to trigger stretching/squeezing/filling or
trimming of the data to make it match the timestamps. The default
is that stretching/squeezing/filling and trimming is disabled
(min_comp = "FLT_MAX").
min_hard_comp
For swr only, set the minimum difference between timestamps and
audio data (in seconds) to trigger adding/dropping samples to make
it match the timestamps. This option effectively is a threshold to
select between hard (trim/fill) and soft (squeeze/stretch)
compensation. Note that all compensation is by default disabled
through min_comp. The default is 0.1.
comp_duration
For swr only, set duration (in seconds) over which data is
stretched/squeezed to make it match the timestamps. Must be a non-
negative double float value, default value is 1.0.
max_soft_comp
For swr only, set maximum factor by which data is
stretched/squeezed to make it match the timestamps. Must be a non-
negative double float value, default value is 0.
matrix_encoding
Select matrixed stereo encoding.
It accepts the following values:
none
select none
dolby
select Dolby
dplii
select Dolby Pro Logic II
Default value is "none".
filter_type
For swr only, select resampling filter type. This only affects
resampling operations.
It accepts the following values:
cubic
select cubic
blackman_nuttall
select Blackman Nuttall windowed sinc
kaiser
select Kaiser windowed sinc
kaiser_beta
For swr only, set Kaiser window beta value. Must be a double float
value in the interval [2,16], default value is 9.
output_sample_bits
For swr only, set number of used output sample bits for dithering.
Must be an integer in the interval [0,64], default value is 0,
which means it's not used.
SEE ALSO
ffmpeg(1), ffplay(1), ffprobe(1), libswresample(3)
AUTHORS
The FFmpeg developers.
For details about the authorship, see the Git history of the project
(https://git.ffmpeg.org/ffmpeg), e.g. by typing the command git log in
the FFmpeg source directory, or browsing the online repository at
<https://git.ffmpeg.org/ffmpeg>.
Maintainers for the specific components are listed in the file
MAINTAINERS in the source code tree.
FFMPEG-RESAMPLER(1)
resources/ffmpeg/linux-amd64/manpages/ffmpeg-scaler.txt 0 → 100644
FFMPEG-SCALER(1) FFMPEG-SCALER(1)
NAME
ffmpeg-scaler - FFmpeg video scaling and pixel format converter
DESCRIPTION
The FFmpeg rescaler provides a high-level interface to the libswscale
library image conversion utilities. In particular it allows one to
perform image rescaling and pixel format conversion.
SCALER OPTIONS
The video scaler supports the following named options.
Options may be set by specifying -option value in the FFmpeg tools,
with a few API-only exceptions noted below. For programmatic use, they
can be set explicitly in the "SwsContext" options or through the
libavutil/opt.h API.
sws_flags
Set the scaler flags. This is also used to set the scaling
algorithm. Only a single algorithm should be selected. Default
value is bicubic.
It accepts the following values:
fast_bilinear
Select fast bilinear scaling algorithm.
bilinear
Select bilinear scaling algorithm.
bicubic
Select bicubic scaling algorithm.
experimental
Select experimental scaling algorithm.
neighbor
Select nearest neighbor rescaling algorithm.
area
Select averaging area rescaling algorithm.
bicublin
Select bicubic scaling algorithm for the luma component,
bilinear for chroma components.
gauss
Select Gaussian rescaling algorithm.
sinc
Select sinc rescaling algorithm.
lanczos
Select Lanczos rescaling algorithm. The default width (alpha)
is 3 and can be changed by setting "param0".
spline
Select natural bicubic spline rescaling algorithm.
print_info
Enable printing/debug logging.
accurate_rnd
Enable accurate rounding.
full_chroma_int
Enable full chroma interpolation.
full_chroma_inp
Select full chroma input.
bitexact
Enable bitexact output.
srcw (API only)
Set source width.
srch (API only)
Set source height.
dstw (API only)
Set destination width.
dsth (API only)
Set destination height.
src_format (API only)
Set source pixel format (must be expressed as an integer).
dst_format (API only)
Set destination pixel format (must be expressed as an integer).
src_range (boolean)
If value is set to 1, indicates source is full range. Default value
is 0, which indicates source is limited range.
dst_range (boolean)
If value is set to 1, enable full range for destination. Default
value is 0, which enables limited range.
param0, param1
Set scaling algorithm parameters. The specified values are specific
of some scaling algorithms and ignored by others. The specified
values are floating point number values.
sws_dither
Set the dithering algorithm. Accepts one of the following values.
Default value is auto.
auto
automatic choice
none
no dithering
bayer
bayer dither
ed error diffusion dither
a_dither
arithmetic dither, based using addition
x_dither
arithmetic dither, based using xor (more random/less apparent
patterning that a_dither).
alphablend
Set the alpha blending to use when the input has alpha but the
output does not. Default value is none.
uniform_color
Blend onto a uniform background color
checkerboard
Blend onto a checkerboard
none
No blending
SEE ALSO
ffmpeg(1), ffplay(1), ffprobe(1), libswscale(3)
AUTHORS
The FFmpeg developers.
For details about the authorship, see the Git history of the project
(https://git.ffmpeg.org/ffmpeg), e.g. by typing the command git log in
the FFmpeg source directory, or browsing the online repository at
<https://git.ffmpeg.org/ffmpeg>.
Maintainers for the specific components are listed in the file
MAINTAINERS in the source code tree.
FFMPEG-SCALER(1)
resources/ffmpeg/linux-amd64/manpages/ffmpeg.txt 0 → 100644
This source diff could not be displayed because it is too large. You can view the blob instead.
resources/ffmpeg/linux-amd64/model/000-PLEASE-README.TXT 0 → 100644
The vmaf filter expects this directory of models to be preset at /usr/local/share/model
If you wish to use this filter, run "sudo cp -r model /usr/local/share/" from the directory
containing the static binaries. If not, you can ignore this and do nothing.
resources/ffmpeg/linux-amd64/model/other_models/model_V8a.model 0 → 100644
svm_type nu_svr
kernel_type rbf
gamma 0.85
nr_class 2
total_sv 80
rho -81.9753
SV
69 1:0.51976033 2:0.95433448 3:0.70664633 4:0.6375746
-9.197413488493105 1:0.45268681 2:0.92433556 3:0.65393852 4:0.6375746
-69 1:0.45265772 2:0.90777395 3:0.64667235 4:0.6375746
-69 1:0.45457447 2:0.87566775 3:0.64033468 4:0.6375746
-69 1:0.42289226 2:0.85854458 3:0.61698782 4:0.6375746
-69 1:0.3898882 2:0.79454531 3:0.58453025 4:0.6375746
-69 1:0.32459772 2:0.67394802 3:0.52456378 4:0.6375746
69 1:0.66117357 2:0.94604234 3:0.5327675 4:0.063767617
-47.49173486794111 1:0.45409202 2:0.85411624 3:0.39594518 4:0.063767617
69 1:0.31194204 2:0.64649086 3:0.27957804 4:0.063767617
69 1:0.61443271 2:0.97960254 3:0.63313123 4:0.29843054
-69 1:0.43214433 2:0.87200586 3:0.48017813 4:0.29843054
-69 1:0.31954096 2:0.69552413 3:0.38421778 4:0.29843054
69 1:0.6426635 2:0.92375101 3:0.58695409 4:0.26591241
69 1:0.5433864 2:0.86991199 3:0.49987385 4:0.26591241
69 1:0.52091212 2:0.83025675 3:0.48006248 4:0.26591241
69 1:0.48532387 2:0.77073948 3:0.44795364 4:0.26591241
69 1:0.64679272 2:0.96831314 3:0.64817876 4:0.032376293
-69 1:0.54885461 2:0.91559606 3:0.57067437 4:0.032376293
-69 1:0.50403001 2:0.85870913 3:0.53649203 4:0.032376293
-69 1:0.47291851 2:0.79481335 3:0.51219028 4:0.032376293
-69 1:0.42191291 2:0.69382331 3:0.47545827 4:0.032376293
-27.25245737487881 1:0.67611062 2:0.96814846 3:0.61158845 4:0.2939012
-69 1:0.46445696 2:0.84351616 3:0.45234615 4:0.2939012
-69 1:0.4201765 2:0.82647934 3:0.43227047 4:0.2939012
-69 1:0.33523871 2:0.72186606 3:0.37190493 4:0.2939012
-69 1:0.51156883 2:0.68186789 3:0.63017684 4:0.055731322
69 1:0.26780177 2:0.95426822 3:0.5469869 4:0.22956029
69 1:0.26468446 2:0.95302431 3:0.54405344 4:0.22956029
69 1:0.25782726 2:0.92374629 3:0.53586532 4:0.22956029
-69 1:0.23417931 2:0.85848996 3:0.50416551 4:0.22956029
-69 1:0.67803967 2:0.9781841 3:0.59567606 4:0.25769702
-69 1:0.60156059 2:0.93305292 3:0.51993286 4:0.25769702
61.87358869334383 1:0.52411365 2:0.87520945 3:0.44833229 4:0.25769702
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-69 1:0.4211399 2:0.7917074 3:0.37439838 4:0.25769702
-69 1:0.39531501 2:0.77946802 3:0.35867259 4:0.25769702
-69 1:0.3295234 2:0.65488773 3:0.30518126 4:0.25769702
69 1:0.64664752 2:0.97030413 3:0.59065681 4:0.39772544
-69 1:0.40527863 2:0.8856757 3:0.41379189 4:0.39772544
-69 1:0.38734128 2:0.86194898 3:0.40076705 4:0.39772544
-69 1:0.35356446 2:0.8406836 3:0.37487635 4:0.39772544
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69 1:0.42948793 2:0.91149544 3:0.45224554 4:0.59104839
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-21.29980364694718 1:0.10867218 2:0.38557666 3:0.18925271 4:0.59104839
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-69 1:0.25245979 2:0.653381 3:0.35225084 4:0.74498378
69 1:0.56382827 2:0.93041813 3:0.66835066 4:0.52288375
69 1:0.50329147 2:0.90511412 3:0.63005715 4:0.52288375
69 1:0.42301615 2:0.85950122 3:0.57731186 4:0.52288375
69 1:0.33177883 2:0.78751195 3:0.51493707 4:0.52288375
69 1:0.32180349 2:0.75683042 3:0.50047176 4:0.52288375
69 1:0.28982966 2:0.74139346 3:0.48432412 4:0.52288375
69 1:0.27998743 2:0.71040098 3:0.47110228 4:0.52288375
-69 1:0.59688511 2:0.96121266 3:0.69469827 4:0.55144777
69 1:0.25837705 2:0.55223053 3:0.43423354 4:0.55144777
7.126411306656149 1:0.67567266 2:0.93488239 3:0.51450984 4:0.11552692
69 1:0.45977871 2:0.83537136 3:0.39204025 4:0.11552692
69 1:0.41043741 2:0.81159357 3:0.36657688 4:0.11552692
69 1:0.34454308 2:0.72734146 3:0.31819693 4:0.11552692
69 1:0.24760613 2:0.57381248 3:0.26197895 4:0.11552692
69 1:0.45957473 2:0.96886019 3:0.62337865 4:0.25245219
69 1:0.41479723 2:0.91870735 3:0.56796741 4:0.25245219
69 1:0.40640278 2:0.91625462 3:0.56219466 4:0.25245219
69 1:0.25300649 2:0.72209287 3:0.42235349 4:0.25245219
69 1:0.52491846 2:0.96518073 3:0.50301103 4:0.78278868
69 1:0.4954733 2:0.95637298 3:0.48341591 4:0.78278868
69 1:0.41029264 2:0.92007754 3:0.41839937 4:0.78278868
69 1:0.37215249 2:0.89824073 3:0.38767888 4:0.78278868
69 1:0.30626552 2:0.8248972 3:0.32595478 4:0.78278868
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-69 1:0.51217571 2:0.85061862 3:0.66459152 4:0.48440282
-69 1:0.47300378 2:0.79026311 3:0.63184378 4:0.48440282
-69 1:0.38355158 2:0.66861728 3:0.56448137 4:0.48440282
resources/ffmpeg/linux-amd64/model/other_models/nflx_v1.json 0 → 100644
{
"param_dict": {
"C": 1.0,
"norm_type": "clip_0to1",
"score_clip": [
0.0,
100.0
],
"cache_size": 200,
"nu": 0.5,
"gamma": 0.85
},
"model_dict": {
"norm_type": "linear_rescale",
"score_clip": [
0.0,
100.0
],
"feature_names": [
"VMAF_feature_adm_score",
"VMAF_feature_ansnr_score",
"VMAF_feature_motion_score",
"VMAF_feature_vif_score"
],
"intercepts": [
-0.1909090909090909,
-1.635828565827225,
-0.5027725296167747,
-0.022214587359292954,
-0.12191917348723096
],
"model_type": "LIBSVMNUSVR",
"slopes": [
0.010909090909090908,
2.635828565827225,
0.030306790717580585,
0.06846153126171134,
1.121919173487231
],
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resources/ffmpeg/linux-amd64/model/other_models/nflx_v1.pkl 0 → 100644
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resources/ffmpeg/linux-amd64/model/other_models/nflx_v1.pkl.model 0 → 100644
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resources/ffmpeg/linux-amd64/model/other_models/nflx_vmaff_rf_v1.pkl 0 → 100644
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resources/ffmpeg/linux-amd64/model/other_models/nflxall_libsvmnusvr_currentbest.pkl 0 → 100644
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resources/ffmpeg/linux-amd64/model/other_models/nflxall_vmafv1.pkl 0 → 100644
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resources/ffmpeg/linux-amd64/model/other_models/nflxall_vmafv2.pkl 0 → 100644
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aS'VMAF_feature_motion_score'
p28
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p29
aS'VMAF_feature_vif_scale1_score'
p30
aS'VMAF_feature_vif_scale2_score'
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aS'VMAF_feature_vif_scale3_score'
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p33
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aF-0.08217305517359848
aF-0.2767600362748038
aF-0.469070289400241
aF-0.7460857020871375
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p35
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p38
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\ No newline at end of file
resources/ffmpeg/linux-amd64/model/other_models/nflxall_vmafv3.pkl 0 → 100644
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S'clip_0to1'
p4
sS'score_clip'
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p10
(dp11
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p12
(dp13
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p14
(lp15
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p16
aS'vif_scale1'
p17
aS'vif_scale2'
p18
aS'vif_scale3'
p19
aS'adm2'
p20
aS'motion'
p21
assg3
S'linear_rescale'
p22
sg5
g6
sS'feature_names'
p23
(lp24
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p25
aS'VMAF_feature_motion_score'
p26
aS'VMAF_feature_vif_scale0_score'
p27
aS'VMAF_feature_vif_scale1_score'
p28
aS'VMAF_feature_vif_scale2_score'
p29
aS'VMAF_feature_vif_scale3_score'
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p31
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aF-0.469070289400241
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p33
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sS'model'
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\ No newline at end of file
resources/ffmpeg/linux-amd64/model/other_models/nflxall_vmafv3a.pkl 0 → 100644
(dp0
S'param_dict'
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(dp2
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p3
S'clip_0to1'
p4
sS'score_clip'
p5
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p12
(dp13
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p16
aS'vif_scale1'
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aS'vif_scale2'
p18
aS'vif_scale3'
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p20
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p21
assg3
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p22
sg5
g6
sS'feature_names'
p23
(lp24
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p25
aS'VMAF_feature_motion_score'
p26
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p27
aS'VMAF_feature_vif_scale1_score'
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aS'VMAF_feature_vif_scale2_score'
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aS'VMAF_feature_vif_scale3_score'
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aF-0.27676003627480394
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p33
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sS'model'
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aF1.7460860425205067
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\ No newline at end of file
resources/ffmpeg/linux-amd64/model/other_models/nflxall_vmafv4.pkl 0 → 100644
(dp0
S'param_dict'
p1
(dp2
S'norm_type'
p3
S'clip_0to1'
p4
sS'score_clip'
p5
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g6
sS'feature_names'
p23
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p25
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p26
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p27
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ass.
\ No newline at end of file
resources/ffmpeg/linux-amd64/model/other_models/nflxtrain_libsvmnusvr_currentbest.pkl 0 → 100644
(dp0
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p1
(dp2
S'norm_type'
p3
S'clip_0to1'
p4
sS'score_clip'
p5
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aS'motion'
p18
aS'ansnr'
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g6
sS'feature_names'
p21
(lp22
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p23
aS'VMAF_feature_ansnr_score'
p24
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asS'intercepts'
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ass.
\ No newline at end of file
resources/ffmpeg/linux-amd64/model/other_models/nflxtrain_libsvmnusvr_currentbest.pkl.model 0 → 100644
svm_type nu_svr
kernel_type rbf
gamma 0.1
nr_class 2
total_sv 145
rho -0.518509
SV
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resources/ffmpeg/linux-amd64/model/other_models/nflxtrain_norm_type_none.pkl 0 → 100644
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p3
F4.0
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p4
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p5
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(dp15
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g5
sg6
g7
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(lp17
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p18
aS'VMAF_feature_motion_score'
p19
aS'VMAF_feature_vif_scale0_score'
p20
aS'VMAF_feature_vif_scale1_score'
p21
aS'VMAF_feature_vif_scale2_score'
p22
aS'VMAF_feature_vif_scale3_score'
p23
asS'model_type'
p24
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p27
(dp28
S'VMAF_feature'
p29
(lp30
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p31
aS'vif_scale1'
p32
aS'vif_scale2'
p33
aS'vif_scale3'
p34
aS'adm2'
p35
aS'motion'
p36
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\ No newline at end of file
resources/ffmpeg/linux-amd64/model/other_models/nflxtrain_vmafv1.pkl 0 → 100644
(dp0
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p1
(dp2
S'norm_type'
p3
S'clip_0to1'
p4
sS'score_clip'
p5
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(dp11
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(dp13
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p14
(lp15
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p16
aS'adm'
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aS'motion'
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aS'ansnr'
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assg3
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g6
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(lp22
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aS'VMAF_feature_ansnr_score'
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ass.
\ No newline at end of file
resources/ffmpeg/linux-amd64/model/other_models/nflxtrain_vmafv1.pkl.model 0 → 100644
svm_type nu_svr
kernel_type rbf
gamma 0.1
nr_class 2
total_sv 145
rho -0.518509
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resources/ffmpeg/linux-amd64/model/other_models/nflxtrain_vmafv2.pkl 0 → 100644
(dp0
S'param_dict'
p1
(dp2
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p3
S'clip_0to1'
p4
sS'score_clip'
p5
(lp6
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(dp11
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p14
(lp15
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aS'vif_scale2'
p18
aS'vif_scale3'
p19
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aS'ansnr'
p22
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p23
sg5
g6
sS'feature_names'
p24
(lp25
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p26
aS'VMAF_feature_ansnr_score'
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aS'VMAF_feature_motion_score'
p28
aS'VMAF_feature_vif_scale0_score'
p29
aS'VMAF_feature_vif_scale1_score'
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aS'VMAF_feature_vif_scale2_score'
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aS'VMAF_feature_vif_scale3_score'
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\ No newline at end of file
resources/ffmpeg/linux-amd64/model/other_models/nflxtrain_vmafv3.pkl 0 → 100644
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\ No newline at end of file
resources/ffmpeg/linux-amd64/model/other_models/nflxtrain_vmafv3a.pkl 0 → 100644
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(dp2
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p3
S'clip_0to1'
p4
sS'score_clip'
p5
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aS'vif_scale1'
p17
aS'vif_scale2'
p18
aS'vif_scale3'
p19
aS'adm2'
p20
aS'motion'
p21
assg3
S'linear_rescale'
p22
sg5
g6
sS'feature_names'
p23
(lp24
S'VMAF_feature_adm2_score'
p25
aS'VMAF_feature_motion_score'
p26
aS'VMAF_feature_vif_scale0_score'
p27
aS'VMAF_feature_vif_scale1_score'
p28
aS'VMAF_feature_vif_scale2_score'
p29
aS'VMAF_feature_vif_scale3_score'
p30
asS'intercepts'
p31
(lp32
F-0.04672897196261682
aF-1.9715194224195431
aF-0.022214587359292957
aF-0.0821730551735984
aF-0.27676003627480394
aF-0.46907028940024076
aF-0.7460857020871379
asS'model_type'
p33
S'LIBSVMNUSVR'
p34
sS'model'
p35
NsS'slopes'
p36
(lp37
F0.0097196261682243
aF2.971519422419543
aF0.0684615312617113
aF1.0821730334476827
aF1.276760118174002
aF1.469070462304583
aF1.7460860425205067
ass.
\ No newline at end of file
resources/ffmpeg/linux-amd64/model/other_models/vmaf_4k_v0.6.1rc.pkl 0 → 100644
(dp0
S'param_dict'
p1
(dp2
S'C'
p3
F4.0
sS'score_transform'
p4
(dp5
S'p2'
p6
F-0.00705305
sS'p0'
p7
F1.70674692
sS'p1'
p8
F1.72643844
ssS'norm_type'
p9
S'clip_0to1'
p10
sS'score_clip'
p11
(lp12
F0.0
aF110.0
asS'nu'
p13
F0.9
sS'gamma'
p14
F0.04
ssS'model_dict'
p15
(dp16
S'model'
p17
Nsg4
g5
sg9
S'linear_rescale'
p18
sg11
g12
sS'feature_names'
p19
(lp20
S'VMAF_feature_adm2_score'
p21
aS'VMAF_feature_motion2_score'
p22
aS'VMAF_feature_vif_scale0_score'
p23
aS'VMAF_feature_vif_scale1_score'
p24
aS'VMAF_feature_vif_scale2_score'
p25
aS'VMAF_feature_vif_scale3_score'
p26
asS'intercepts'
p27
(lp28
F-0.23202029036329092
aF-0.7703350310526216
aF-0.010411981862966059
aF-0.09603743694887917
aF-0.21890356649141152
aF-0.35835059999617175
aF-0.6161060516582791
asS'model_type'
p29
S'LIBSVMNUSVR'
p30
sS'slopes'
p31
(lp32
F0.244201478446933
aF1.7697551475258635
aF0.061831493128738056
aF1.0960374437054892
aF1.2189036205165853
aF1.3583508615652835
aF1.6161065113575923
asS'feature_dict'
p33
(dp34
S'VMAF_feature'
p35
(lp36
S'vif_scale0'
p37
aS'vif_scale1'
p38
aS'vif_scale2'
p39
aS'vif_scale3'
p40
aS'adm2'
p41
aS'motion2'
p42
asss.
\ No newline at end of file
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resources/ffmpeg/linux-amd64/model/vmaf_float_b_v0.6.3/vmaf_float_b_v0.6.3.json 0 → 100644
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resources/ffmpeg/linux-amd64/model/vmaf_rb_v0.6.2/vmaf_rb_v0.6.2.json 0 → 100644
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resources/ffmpeg/linux-amd64/model/vmaf_rb_v0.6.3/vmaf_rb_v0.6.3.json 0 → 100644
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resources/ffmpeg/win-amd64/include/libavcodec/avcodec.h 0 → 100644
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resources/ffmpeg/win-amd64/include/libavformat/avformat.h 0 → 100644
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src/renderer/src/assets/images/create-model/image-stand-en.svg 0 → 100644
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src/renderer/src/assets/images/home/banner01.svg 0 → 100644
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src/renderer/src/assets/images/home/banner01_right.svg 0 → 100644
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src/renderer/src/assets/images/home/banner02.svg 0 → 100644
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src/renderer/src/assets/images/home/myModelList.svg 0 → 100644
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src/renderer/src/assets/images/home/occupationMap.svg 0 → 100644
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