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Syncios is an online video downloader, works with over 100 video websites. Syncios, an online video downloader, is among of the easiest methods of downloading YouTube videos. It's also beneficial for those who travel without a reliable mobile internet connection. YouTube videos can be extremely helpful, particularly for people with limited data allowances. 5 NewPipe is a YouTube video downloader that is free.4 TubeMate is a free YouTube video downloader application.3 GetTube YouTube Video Streamer application. # Since triangle mesh is the most popular representation of 3D face, # the main part is mesh processing. I also try my best to add references/formulas in each function, so that you can learn basic knowledge and understand the codes.įor more information and researches related to 3D faces, please see 3D face papers. In addition, the numpy version is also retained, considering that beginners can focus on algorithms themselves in python and researches can modify and verify their ideas quickly. So the final version is very lightweight and fast. rasterization) can not use vectorization to optimize, writing them in python is too slow to use, then I choose to write these core parts in c++(without any other big libraries, such as opencv, eigen) and compile them with Cython for python use. In the beginning, I wrote this project for learning 3D face reconstruction and for personal research use, so all the codes are written in python(numpy). You can use this to process mesh data, generate 3D faces from morphable model, reconstruct 3D face with a single image and key points as inputs, render faces with difference lightings(for more, please see examples). This project implements some basic functions related to 3D faces. Face3d: Python tools for processing 3D face Introduction In general this applies also to Linux-based rescue CDs (although they may not provide dd explicitly as their primary tool, they still may give access to a shell which allows dd invocation). However Live CDs of various flavors of Linux should include dd as a part of coreutils. ^ There is no Live OS dedicated specially to dd.^ At the trial version, you can't perform Disk Cloning feature via UI nor Rescue disc.^ Previously known as Acronis TrueImage.Implies use of shadow copy or a similar technique. ^ Hot transfer refers to copying the contents of a volume on which there are open files in use.The target disk's layout may not resemble that of the source disk. It requires the cloning utility to have a knowledge of the file systems on the source disk. ^ File-based transfer (as opposed to sector-by-sector transfer), involves opening all files and copying their contents, one by one.^ Sector-by-sector transfer involves accessing the disk directly and copying the contents of each sector, thus accurately reproducing the layout of the source disk.UFS (beta), HFS (beta), NTFS (experimental) NTFS, ext4, ext3, ext2, FAT32, FAT16, FAT12, ReFSįAT32, btrfs, ext2, ext3, ext4, ReiserFS-4, HPFS, JFS, XFSįAT12, FAT16, FAT32, ExFAT, NTFS, ext2, ext3, ext4, MFS, HFS, HFS+, UDF, XFS, ReFS įAT32, ext2, ext3, ReiserFS-3, HPFS, JFS, XFS NameĪcronis Cyber Protect Home Office įAT32, NTFS, HFS+, APFS, ext2, ext3, ext4 and ReiserFS įAT12, FAT16, FAT32, NTFS, ext2, ext3, ext4, reiserfs, reiser4, xfs, jfs, btrfs, f2fs, NILFS2, HFS+, UFS, minix, VMFS3
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Make sure compinit is loaded or do it by adding in ~/.zshrc: autoload -Uz compinit & compinit -i Include the directory in your $fpath by adding in ~/.zshrc: fpath=(~/.zsh/completion $fpath) source /etc/bash_completion.d/docker-compose For Zsh usersĭownload the completion script in your ~/.zsh/completion/ mkdir -p ~/.zsh/completionĬurl -L > ~/.zsh/completion/_docker-compose Source the file or re-login to enjoy completion feature. sudo curl -L -o /etc/bash_completion.d/docker-compose Place the completion script in /etc/bash_completion.d/. Newgrp docker Configure Compose Command-line completionĬompose has command completion for the bash and zsh shell. $ docker-compose versionĪdd user to docker group: sudo usermod -aG docker $USER sudo mv docker-compose-linux-x86_64 /usr/local/bin/docker-composeĬonfirm version. curl -s | grep browser_download_url | grep docker-compose-linux-x86_64 | cut -d '"' -f 4 | wget -qi. 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Open the project folder project_name from the menu in VS CodeĬreate a virtual environment for the projectĬreate a. Hence, for the relative path, type: cd /python_projectsĬreate a folder for the project called project_name and check if it was created in the working folder mkdir project_name |