thibaultgroueix / useful-computer-vision-phd-resources

Lists of resources useful for my PhD in computer vision

useful-computer-vision-phd-resources

This repo is to share my tribulation in installing different software and setting up a good workflow for my research in Deep Learning. Hopefully it can win some time to many people, and help my memory in the future.

It is inspired by Yana Hasson's initiative but mostly intended for me. Check out Yana's repo for great advices on how to conduct your research.

Note. A lot of this stuff is outdated now (2019).

• Dual boot from Windows 10 to Windows 10 + Ubuntu 16.04

• Basic initial steps for ubuntu

• Some benchmark for hardware in Ubuntu

• Make a video out of frames with ffmpeg

• Setup Python with anaconda, jupyter...

• Torch7 Workflow (cuda, notebooks, useful packages)

• Manage EXR files, exrdisplay, blender, imagemagick

• CUDA 8 and 7.5 and 9.0 install on Ubuntu 16.04

• (Basic tool for a coder : Git, Latek, and others

• Basic tool for a researcher : Arxiv ...

• Useful stuff (gdrive...)

• Random Bug reports on Ubuntu 16.04

• make a video

  A few favorites of mine:

• Good writing tips from Michrosoft research
• How to write a good intro
• How to write a good CVPR submission by Bill Freeman.
• How to write a bad article by Fredo Durand
• More ressources by Fredo Durand