Docker compose. py"] The build is fine: Sending build context to Docker dae. Photorealistic한 face swapping을 수행하며 완전한 pipeline을 갖는 sota framework. Added Docker support. docker pull tensorflow/tensorflow:latest # Download latest stable image docker run -it -p 8888:8888 tensorflow/tensorflow:latest-jupyter # Start Jupyter server. After setting up Docker, you can learn the basics with Getting started with Docker. Phase II: Training. 0は以前より高速化され精度も向上しました。ただAMDに対応されなくなったので注意です。 To generate this message, Docker took the following steps: 1. 第三步. Write better code with AI Code review. It offers an easy-to-use interface and gives high-quality. It’s a free and open-source software to create deepfake videos available for Windows 7, 8, 8. It is specifically built to maximize the advantages of GPU computing while providing a user. The release notes have been reorganized into two major sections: the general CUDA release notes, and the CUDA libraries release notes including historical information for 12. Vanilla Anaconda docker run --rm -it xychelsea/anaconda3:latest An arbitrary face-swapping framework on images and videos with one single trained model! - GitHub - neuralchen/SimSwap: An arbitrary face-swapping framework on images and videos with one single trained model! Docker Start by installing and initializing the Cloud SDK. It is now read-only. The creator of DeepFaceLab, the most-used open source software for creating deepfakes, is developing a streaming implementation for deepfakes, apparently capable of rendering deepfakes on a real-time basis from models trained at length in the open source project DeepFaceLab 1. If you want better control over what gets. DeepFaceLab 2. GitHub - iperov/DeepFaceLab: DeepFaceLab is the leading software for creating deepfakes. 7 cudnn=8 cudatoolkit=11DeepFaceLab is a powerful AI-powered software that allows you to create high-quality face swaps and manipulations in videos with incredible ease. If you want a higher quality or better face match, you can train your own face model using DeepFaceLab. Note: The user running the docker container must be member of the group "docker". DeepFaceLab in a Docker Container. 0とは DeepFaceLab 2. Growth - month over month growth in stars. Developed by sf-editor1, this open-source deepfake system is leading in the market with over 95% of created deepfake videos alone. Code Issues Pull requests DeepFaceLab in a Docker Container. 10. Contribute to idorg/DeepFaceLab by creating an account on DagsHub. DeepFaceLab is a graphic and design utility that enables you to efficiently swap faces on any image or video. # If you want to copy whole folder into container. Find the best programs like DeepFaceLab for Windows. graphic design free. Operating system and version: Windows, macOS, Linux. 0 cudnn=7. (by iperov) The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives. No changes have been made to DeepFaceLab itself. Prebuilt DeepFaceLab, including GPU and CPU versions, can be downloaded from . My 3080 dosent't work on dfl. docker run -it --gpus all -p 8888:8888 tensorflow/tensorflow:latest. Prepare two videos, and name them: The video has the face need to be replaced as data_dst. 2. The contributions of DeepFaceLab can be summarized as three-folds: •A state-of-the-art framework consists of a maturity pipeline is proposed, aiming to achieve photorealistic face-swapping results. In a Discord group for rival deepfake software. Docker Containers for DeepFaceLab with TensorFlow in Anaconda 3 Dockerfile 40 20 ffmpeg-docker ffmpeg-docker Public. Machine Video Editor. Also, it includes several features such as detection and alignment of faces, training. seaniedan opened this issue on Jun 11, 2021 · 1 comment. Code. Write "cp -r DeepFaceLab_Linux DeepFaceLab; mv DeepFaceLab DeepFaceLab_Linux/" and hit Enter. It works good elsewhere. 0を記事としてアップしていましたが、2. How to Label XSeg Masks with DeepFaceLab 2. This function will check the. You should spend time studying the workflow and growing your skills. Graphical editor for a streamlined deepfake creation. xhost + in the start. Last pushed 2 years ago by xychelsea. It works just by using cpu. 0. Code to reproduce the issue # tested on devel-gpu-py3 (where tf wheel builded) and latest-gpu-py3 docker pull. {"payload":{"allShortcutsEnabled":false,"fileTree":{"":{"items":[{"name":". 3 ANACONDA_CONTAINER=v0. この記事で、DeepFaceLabはどういったソフトなのか、DeepFaceLabの使い方、Faceswapとの比較、またほかのAIソフトーDVDFab AIの紹介を説明します。. Contribute to idonov/DeepFaceLab by creating an account on DagsHub. ahaha5485/deepfacelab - Docker HubHere I’ll deep dive into creating our Docker container for the training of our deep fake models and submitting the job onto Google AI Platform. DeepFaceLab is, without a doubt, the most important technology powering the vast majority of this generation of deepfakes. Curate this topic Add this topic to your repo To. Docker is available in repositories of many other Linux distros. Currently, there's only one option available to install DeepFaceLab Linux. 4. Notifications. Cookies Settings. (if you are not using prebuilt windows binary) THIS IS NOT TECH SUPPORT FOR NEWBIE FAKERS POST ONLY ISSUES RELATED TO BUGS OR CODE Expected behavior I. 04 and you will have created an identical environment. jupyter","path. 6. Development. A software platform used for building applications based on containers — small and lightweight execution environments. valador opened this issue on Feb 27 · 2 comments. 1 and 10. The Docker client contacted the Docker daemon. {"payload":{"allShortcutsEnabled":false,"fileTree":{"":{"items":[{"name":"scripts","path":"scripts","contentType":"directory"},{"name":"Dockerfile","path":"Dockerfile. You can now access your container at any time with the following command. DeepFaceLab. It is the next-generation user interface for Project. DeepFaceLab in a Docker Container. DeepFaceLab in a Docker Container. There is also a Face Animator module in DeepFaceLive app. 1:29:50 – Running DeepfaceLive. ffmpeg anaconda nvidia conda-forge deepfacelab Updated Nov 28, 2022; Dockerfile; deepartist / DeepFaceLab_Colab Star 5. Contribute to aspera-non-spernit/DeepFaceLab_Docker development by creating an account on GitHub. Curate this topic Add this topic to your repo. import os: import sys: import time: import argparse: import multiprocessing: from utils import Path_utils: from utils import os_utils: from pathlib import Path: if sys. FFmpeg with NVIDIA/CUDA support. CMD ["python", "src/main. DeepFaceLab in a Docker Container. By following the steps and suggestions laid out in this document, you will be. You will need FFMpeg, Git, and the most recent NVIDIA. 03 CUDA version: 11. The provided docker/Dockerfile does not download this repository at the moment. You signed in with another tab or window. CommandNotFoundError: Your shell has not been properly configured to use 'conda activate'. 1) Install and start/enable Docker. 1 ANACONDA_DIST=Miniconda3 |15 ANACONDA_ARCH=x86_64 ANACONDA_CONDA=4. In addition to Python and Anaconda, this Docker container stack also comes equipped with JupyterLab, an interactive web-based interface for Jupyter notebooks, code, and data. 1) Install and start/enable Docker. 1) Install and start/enable. The indispensable pipeline that it serves is easy-to-use even for users that have no comprehensive. In this case my repo is runpod, my name is tensorflow, and my tag is latest. Github DeepfaceLab:Noss. At the bottom of the banned list, it. The repository already includes a list of ready-to-use public. You run your image as a container at directory of deepfacelab. Recent commits have higher weight than older. 3. First we need to head on over to Github and install one of DeepFaceLab’s Prebuilt Windows Releases. The repository already includes a list of ready-to-use public face models, including Keanu Reeves and Mr. Clone this repository, run the docker-compose command and clear the. See DeepFaceLab project for links to. 561dfc82a985. 0 cudnn=7. DeepFaceLab in a Docker Container. DFL is missing MultiGPU, Color Augmentation, and most models for deepfakes. In this article series, we're going to show how deep fakes work, and show how to implement them from scratch. This powerful tool is widely used by popular YouTube channels and content creators such as deeptomcruise, 1facerussia, arnoldschwarzneggar, and many more. Code Issues Pull requests react ai nextjs faceswap replicate sdxl Updated Oct 31, 2023. mp4 and data_dst. It uses deep learning algorithms to replace a person’s face in a video with another face. The leading software for creating deepfakes. This example is for Archlinux. 13. /4. 1. DockerThis repository has been archived by the owner on Nov 9, 2023. 0. |15 ANACONDA_ARCH=x86_64 ANACONDA_CONDA=4. After that we’ll do a deep dive into XSeg editing. Docker Containers for DeepFaceLab with TensorFlow in Anaconda 3. get masks from both faces. Why Overview What is a Container. FFMPEG NVIDIA/CUDA GPU-enabled Docker Container. DeepFaceLab is a popular open-source deepfake generating app that allows users to. Here is an example of Arnold Schwarzneggar trained on a particular face and used in a video call. 6. bat”. Digest. Anaconda is the preferred method of installing DeepFaceLab on Linux. opened by JustinH71 3 Exception: CUDAExecutionProvider is not avaiable in onnxruntime{"payload":{"allShortcutsEnabled":false,"fileTree":{"":{"items":[{"name":"Dockerfile","path":"Dockerfile","contentType":"file"}],"totalCount":1. machine-learning deep-neural-networks deep-learning faceswap neural-networks face-swap deeplearning arxiv neural-nets deepface. Capture a web page as it appears now for use as a trusted citation in the future. With its. DeepFaceLab can be used for a variety of applications, from entertainment and professional productions to custom implementations and deep learning research. Recently I tried switching from my home pc to a server which can hold multiple graphics-cards to speed up the training process. 1. The repository already includes a list of ready-to-use public face models, including Keanu Reeves and Mr. Starting with CUDA 11, the various components in the toolkit are versioned independently. More than 95% of deepfake videos are created with DeepFaceLab. {"payload":{"allShortcutsEnabled":false,"fileTree":{"":{"items":[{"name":"Dockerfile","path":"Dockerfile","contentType":"file"},{"name":"Dockerfile. docker face-swap. Provides an NVIDIA GPU-enabled container with FFmpeg pre-installed on an Anaconda container xychelsea/ffmpeg-nvidia:latest, and optional Jupyter Notebooks container xychelsea/ffmpeg:latest-jupyter. Note: The user running the docker container must be member of the group "docker". So I'm wondering what is the issue with the training part. Aprenda a construir deepafakes realistas com o maior framework Open source (DeepFaceLab). DeepFaceLabCUDA9. deepfacelab-docker-multi Prepare system. Let’s get started! Image taken from iperov’s Github README. Add a description, image, and links to the deepfacelab topic page so that developers can more easily learn about it. Key Features: High-quality face-swapping: Achieve impressive results with the ability to swap faces seamlessly. Containerized version of DeepFaceLab aimed for a fast workflow - GitHub - lavafroth/deepfacelab-docker: Containerized version of DeepFaceLab aimed for a fast workflowDockerNo GUI. DeepFaceLab is a tool that utilizes deep learning to recognize and swap faces in pictures and videos. Code Issues Pull requests Just an app to use DeepFaceLab with a user interface. Unfortunately, there is no "make everything ok" button in DeepFaceLab. 8 brand=tesla,driver>=450,driver<451 brand=tesla,driver>=470,driver<471 brand=unknown,driver>=470,driver<471 latest-gpu. 6-jupyter. . " GitHub is where people build software. {"payload":{"allShortcutsEnabled":false,"fileTree":{"":{"items":[{"name":"Dockerfile","path":"Dockerfile","contentType":"file"}],"totalCount":1. DFL Downloads & Resources. Why docker doesn't use all the VRAM on EC2 instance?. 8k. Once your image is built, you can push it by first logging in. 2_data_src_sort. linux docker fake depp deepfacelab Updated Jul 27, 2019; Python; kromme / Deep-faking-myself-into-the-Office Star 2. Currently, there's only one option available to install DeepFaceLab Linux. Contribute to idonov/DeepFaceLab by creating an account on DagsHub. To create a deepfake, it’s most common for someone to create a video and replace a person’s face with that of a celebrity or other well-known person. ","# $ docker run --gpus all --rm -it xychelsea/deepfacelab:latest-gpu /bin/bash","# $ docker push xychelsea. ahaha5485/deepfacelab - Docker Hub FFMPEG NVIDIA/CUDA GPU-enabled Docker Container. Code Issues Pull requests deepfake deepfacelab Updated Dec 28, 2021. #15. For examples, DeepFaceLab can swap any area of faces and conduct high-quality face-swapping even under heavy occlusion with the help of few-shot human labeling and XSeg. Contribute to kavichu/deepfacelab-vnc development by creating an account on GitHub. DeepFaceLab split off from Faceswap in early 2019 and has fallen behind on features and capability. DeepFaceLab is the dominant deepfake framework for face-swapping, addressing the challenges faced in deepfake detection and generation methods. 04 w/ CUDA v9, CUDNN v7] # adapted from the official tensorflow docker builds. THIS IS NOT TECH SUPPORT FOR NEWBIE FAKERS POST ONLY ISSUES RELATED TO BUGS OR CODE Expected behavior I was trying to train the ai, but. Code Issues Pull requests Simple and fast histogramming in Python accelerated with OpenMP. Totally agreed, even on an older version of faceswap I could do a way better video than the one in this video, not even the best model. examples. . By clicking “Accept All Cookies”, you agree to the storing of cookies on your device to enhance site navigation, analyze site usage, and assist in our marketing efforts. Using FFmpeg. You can now access your container at any time with the following command. 4. Choose the correct build for your system and make sure your drivers are up to date. Bug Description Hi, everyone! When I try to use autokeras fit some data and label, I encounter such warnings as: "semaphore_tracker: There appear to be 1 leaked semaphores to clean up at shutdown l. Install: DeepFaceLab: Download. The last one was on 2023-06-30. DeepFaceLab is a popular GitHub repository owned by iperov. Last pushed 2 years ago by xychelsea. DeepFaceLab 2. You should spend time studying the workflow and growing your skills. Include private repos Repository:Using. Python3. 4. $ docker pull ghcr. Contribute to idonov/DeepFaceLab by creating an account on DagsHub. DeepFaceLab 2. . 2SSE - for NVIDIA cards up to GTX1080. 1 ANACONDA_DIST=Miniconda3 docker pull slamhan/deepfacelab-gpu:1. To build your container, go to the folder you have your Dockerfile in, and run. py"] Share. In the previous article we went through some of the different approaches you can take to. Deploy with Docker. Unraveling the mystery around deepfakes. Contribute to idorg/DeepFaceLab by creating an account on DagsHub. 일부 고효율 component나 tool들이 도입되어 user. Disclaimer Before I begin, I must warn you that DeepFaceLab is just a tool and it is neither good nor bad. Will set up a Docker-ized environment for GPU-enabled sessions of DeepFaceLab functions. The contributions of DeepFaceLab can be summarized as three-folds: •A state-of-the-art framework consists of a maturity pipeline is proposed, aiming to achieve photorealistic face-swapping results. DeepFaceLab is a deepfake software suite that can be used to create realistic face-swapping videos. Open Docker. It is an folder-structure, so open source I guess. It’s a great option if you’re looking to get a deeper understanding of deepfakes and the technology behind them. docker push repo/name:tag. Faceswap, on the surface, looked like the safer bet. 文章浏览阅读1. Docker 3) “ 3. It is a hybrid face recognition framework wrapping state-of-the-art models: VGG-Face, Google FaceNet, OpenFace, Facebook DeepFace, DeepID, ArcFace, Dlib and SFace. Why Overview What is a Container. This is designed to set up environment with the docker run part executing just one shell command inside mounted volumes. yet. deepfacelab中的AMP模型训练流程分享(搬运外网). Stable Diffusion Downloads & Resources. Closed. The scripts will set up a Docker container for you and install the latest version of the Faceswap software. Added remote GPU support for all platforms (based on mynameisfiber's solution). 1. Rowan Atkinson. PhotoPrism® is an AI-Powered Photos App for the Decentralized Web . You should try to reproduce the issue and using the Task Manager, go to the Processes tab and organize by the Memory column so we can see what processes are consuming RAM, then go to the Performance tab > Memory and note the metrics at the bottom. It looks off, I shot the footage 50fps by accident instead of 25fps. 2) extract images from video data_dst FULL FPS. |15 ANACONDA_ARCH=x86_64 ANACONDA_CONDA=4. Caution: The docker group is equivalent to the root user. . 2. This page contains information on how to install Docker using binaries. The provided docker/Dockerfile does not download this repository at the moment. To try something more ambitious, you can run an Ubuntu container with: $ docker run -it ubuntu bash Share images. sh. ENV NVIDIA_REQUIRE_CUDA=cuda>=11. Learn more about packages. Open. docker push repo/name:tag. . I just can't use the Jupyter notebook as a tool, as if I do: import numpy or import colorama I get 'module not found' errors. Command lined used (if not specified in steps to reproduce): main. Available builds: . After that, we need to install the numpy version and the shap version according to need. Last pushed 2 months ago by ahaha5485. DeepFaceLab의 contribution을 요약하자면 다음과 같습니다. Compressed Size. User-friendly interface: Benefit from an easy-to-use interface for a smoother workflow. Condition recommendations: It is recommended to use an NVIDIA or. Double-click on the file labeled ‘2) extract images from video data_src’ and press enter a few times to use the default values. linux docker fake depp deepfacelab Updated Jul 27, 2019; Python; dream80 / DeepFaceLab_Colab Star 733. 5, 3. Deepfake defense not only requires the research of detection but also requires the efforts of generation methods. 4. However, current deepfake methods suffer the effects of obscure workflow and poor performance. Currently, there's only one option available to install DeepFaceLab Linux. ; Basic. You use DeepFaceLab to create deepfake videos. py -> data_src -> (photos and videos) Data_src -> (photos and videos) Those are examples of what i think may be correct routing, but cant get it to work. 4) “ 4) data. Here's the loose breakdown: replace the dst and src videos (destination and source). Only the NVIDIA GeForce display driver needs to be installed. DeepFaceLive for docker #5630. Google's ban removes what is arguably the best option for free deepfake training. linux docker fake depp deepfacelab Updated Jul 27, 2019; Python; Improve this page Add a description, image, and. This includes AMD Radeon R5, R7, R9 200 and newer, Intel HD Graphics 500 and newer,. The Docker daemon streamed that output to the Docker client, which sent it to your terminal. Download DeepFaceLab for free. This significantly facilitates the installation and update of packages, keeping the environment up-to-date and secure. linux docker fake depp deepfacelab Updated Jul 27, 2019; Python; Improve this page Add a description, image, and links to the deepfacelab topic page so that developers can more easily learn about it. Deepfakes combine existing images, video, or audio of a person in AI-powered deep learning software that allows for manipulating this information into new, fake pictures, videos, and audio recordings. If not, see <xychelsea/ffmpeg-nvidia:v0. The easiest is to simply start with a RunPod official template or community template and use it as-is. DeepFaceLab in a Docker Container. Run script . Last pushed 4 years ago by slamhan docker pull slamhan/deepfacelab-gpu:1. linux docker fake depp deepfacelab Updated Jul 27, 2019; Python; Dassourav07 / Deep_Social Star 1. py", line 105, in spawn_main. To get a first impression, you are welcome to play with our. . Solution: replace the video card. github","path":". Added Google Colab mode. /scripts/0_setup. DeepFaceLab: A widely-used software for creating Deepfake videos, DeepFaceLab provides a graphical user interface (GUI) and a set of pre-built models, allowing users to create Deepfake without. Now, you will need to install deepface and retina-face without dependencies, and then install the necessary packages manually (if any other packages. Available builds: . Environment variables refer to the documentation below. Demo. Stars - the number of stars that a project has on GitHub. jupyter","path. Documentation please! #13 opened on Jun 1, 2021 by seaniedan. conda create -n deepfacelab -c main python=3. nVidia-Docker: Access to the nVidia GPU on host machine from inside container. The deepfake face is then applied to the source photos at the ultimate destination before the process is reversed and the movie is re-created. Docker. The "--gpus all" makes all the gpus available on the host to be visible to the container. ffmpeg anaconda nvidia conda-forge deepfacelab Updated Nov 28, 2022; Dockerfile; unsalted / docker-nheqminer-cuda Star 24. Add this topic to your repo. Products Product Overview Product Offerings Docker Desktop Docker Hub Features Stable Diffusion. Which is the best alternative to DeepFaceLive? Based on common mentions it is: DeepFaceLab, Wav2Lip, Libreddit, ColossalAI, Lemmy, Web2img or PaddleNLP. To ensure that Docker is running, run the following Docker command, which returns the current time and date: Install DeepFaceLab and DeepFaceLab for Linux Check latest cudnn and cudatoolkit version for your GPU device, you can see your driver and CUDA version by issueing: nvidia-smi and you can check in the Official Compatibility List to see which cuDNN and cudatoolkit version you should install. As you have already specified the WORKDIR in the Dockerfile. {"payload":{"allShortcutsEnabled":false,"fileTree":{"":{"items":[{"name":"scripts","path":"scripts","contentType":"directory"},{"name":"Dockerfile","path":"Dockerfile. 2_data_src_sort. 1,10 zero dependency (just install/update your GeForce Drivers) prebuilt DeepFaceLab (include GPU and CPU versions) can be downloaded. 推荐使用第三方软件 MVE (Machine Video Editor) 进行切图纠错、蒙板管理，很强大，有兴趣的自行研究。. 4,. We have used some of these posts to build our list of alternatives and similar projects. Products Product Overview Product Offerings Docker Desktop Docker Hub Features创建DeepFaceLab的虚拟环境，并激活。 conda create -y -n deepfacelab python=3. ffmpeg anaconda nvidia conda-forge deepfacelab Updated Nov 28, 2022; Dockerfile; Lenny4 / DeepFaceLabClient Star 70. DeepFaceLab: Best free deepfake maker software on PC for advanced users to create a deepfake. DeepFaceLab is designed to run on Windows 10 and Linux. deep-learning faceswap neural-networks deepfake google-colab-notebook deepfacelab Updated May 1, 2023; Jupyter Notebook; ai-forever / ghost Star 883. . In this DeepFaceLab XSeg tutorial I show you how to make better deepfakes and take your composition to the next level! I’ll go over what XSeg is and some important terminology, then we’ll use the generic mask to shortcut the entire process. This is done by using fillna () function. Whether you use the command-line interface, Docker container, or Helm chart, Model Analyzer gathers the compute requirements of your models, allowing you to maximize. Provides an NVIDIA GPU-enabled container with FFmpeg pre-installed on an Anaconda container xychelsea/ffmpeg-nvidia:latest, and optional Jupyter Notebooks container xychelsea/ffmpeg:latest-jupyter. Where people create machine learning projects. Closed. Pull requests Just an app to use DeepFaceLab with a user interface. docker login. Now you can put your data_src. Download project files. 2SSE - for NVIDIA cards up to GTX1080 and any 64-bit CPU DLL load failed: Файл подкачки слишком мал для завершения операции. 2) extract images from video data_dst FULL FPS. ffmpeg anaconda nvidia conda-forge deepfacelab Updated Nov 28, 2022; Dockerfile; Lenny4 / DeepFaceLabClient Star 61. The Docker daemon created a new container from that image which runs the executable that produces the output you are currently reading. Those files essentially run certain commands in the console and execute specific python-scripts, which makes it a bit more pleasant to work with DeepFaceLab. The problem was solved by installing nvidia-docker locally with: sudo apt install nvidia-docker2 sudo systemctl restart docker And updating the base image in the Dockerfile. • DeepFaceLab is the leading software for creating. docker ai faceswap deepface deepfake Updated Nov 4, 2023; angela-goncalves / diferent_decade Star 0. This may take several minutes to run. These instructions are mostly suitable for testing purposes. Have been attempting to extract data_dst faces. I start extracting images and faceset. These are then trained , so that the non-adjusted masks in-between those ‘manual’ frames (which represent the exemplary training data) are conformed to the user-edits, obviating the need to manually. A RunPod template is just a Docker container image paired with a configuration. We'll then take a look at DeepFaceLab, which is the all-in-one Tensorflow-powered tool often. First, however, enter nvidia-smi to see whether the container can see your NVIDIA devices. How to Make a DeepFake Video with DeepFaceLab 1. Manage code changesSolving issue for Docker / Shap. jupyter","path. 强烈建议试一下，PyCharm可以用于生产环境，Jupyter lab用于测试环境，简直完美，美滋滋。找个服务器或者Docker安装centos7，再搭建好py3和nodejs环境，通过浏览器直接码代码，是不是很酷炫. merge the same training module type. Read the Docker install guide. Code. mp4 files into the workspace/ dir and start running scripts from the scripts/ dir. Code Issues Pull requests Blockchain Based Decentralized Blog Post application. Based on original FaceSwap repo. I get as far as: Step 16/24 : RUN conda create -c nvidia -n deepfacelab pytho. 1. DeepFaceLab is an open-source deepfake system created by iperov for face swapping with more than 3,000 forks and 13,000 stars in Github: it provides an imperative and easy-to-use pipeline for people to use with no comprehensive understanding of deep learning framework or with model implementation required, while remains a flexible and. There is a folder named ‘workspace’ that contains all training models, source videos, and the output.