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Focus on computer vision and graphics

Haolin Jia Harrypotterrrr

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Focus on computer vision and graphics
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@wangruohui
wangruohui / intel-nvidia.md
Last active April 25, 2024 10:38
Intel for display, Nvidia for computing

Intel for display, NVIDIA for computing

This guide will show you how to use Intel graphics for rendering display and NVIDIA graphics for CUDA computing on Ubuntu 18.04 / 20.04 desktop.

I made this work on an ordinary gaming PC with two graphics devices, an Intel UHD Graphics 630 plus an NVIDIA GeForce GTX 1080 Ti. Both of them can be shown via lspci | grep VGA.

00:02.0 VGA compatible controller: Intel Corporation Device 3e92
01:00.0 VGA compatible controller: NVIDIA Corporation GP102 [GeForce GTX 1080 Ti] (rev a1)
@BIGBALLON
BIGBALLON / extract_ILSVRC.sh
Created May 13, 2018 20:09
script for ImageNet data extract.
#!/bin/bash
#
# script to extract ImageNet dataset
# ILSVRC2012_img_train.tar (about 138 GB)
# ILSVRC2012_img_val.tar (about 6.3 GB)
# make sure ILSVRC2012_img_train.tar & ILSVRC2012_img_val.tar in your current directory
#
# https://github.com/facebook/fb.resnet.torch/blob/master/INSTALL.md
#
# train/
@Tushar-N
Tushar-N / pad_packed_demo.py
Last active December 27, 2022 06:35
How to use pad_packed_sequence in pytorch<1.1.0
import torch
import torch.nn as nn
from torch.nn.utils.rnn import pack_padded_sequence, pad_packed_sequence
seqs = ['gigantic_string','tiny_str','medium_str']
# make <pad> idx 0
vocab = ['<pad>'] + sorted(set(''.join(seqs)))
# make model
@tuxfight3r
tuxfight3r / 01.bash_shortcuts_v2.md
Last active May 4, 2024 16:58
Bash keyboard shortcuts

Bash Shortcuts

visual cheetsheet

Moving

command description
ctrl + a Goto BEGINNING of command line